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Hoes LLF, Geleijnse JM, Bonekamp NE, Dorresteijn JAN, van der Meer MG, van der Schouw YT, Visseren FLJ, Koopal C. Prevalence and determinants of self-reported low-fat-, low-salt-, and vegetarian diets in patients with cardiovascular disease between 1996 and 2019. Nutr Metab Cardiovasc Dis 2024; 34:935-943. [PMID: 38403481 DOI: 10.1016/j.numecd.2024.01.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 12/01/2023] [Accepted: 01/10/2024] [Indexed: 02/27/2024]
Abstract
BACKGROUND AND AIMS Guidelines no longer recommend low-fat diets and currently recommend more plant-based diets to reduce atherosclerotic cardiovascular disease (ASCVD) risk. Furthermore, these guidelines have consistently recommended salt-reduced diets. This article describes current self-reported use and time-trends in the self-reported use of low-fat, low-salt and vegetarian diets in ASCVD patients and examines patient characteristics associated with each diet. METHODS AND RESULTS 9005 patients with ASCVD included between 1996 and 2019 in the UCC-SMART cohort were studied. The prevalence of self-reported diets was assessed and multi-variable logistic regression was used to identify the determinants of each diet. Between 1996-1997 and 2018-2019, low-fat diets declined from 22.4 % to 3.8 %, and low-salt diets from 14.7 % to 4.6 %. The prevalence of vegetarian diets increased from 1.1 % in 1996-1997 to 2.3 % in 2018-2019. Patients with cerebrovascular disease (CeVD) and peripheral artery disease or an abdominal aortic aneurysm (PAD/AAA) were less likely to report a low-salt diet than coronary artery disease (CAD) patients (OR 0.62 [95%CI 0.49-0.77] and 0.55 [95%CI 0.41-0.72]). CONCLUSION In the period 1996 to 2019 amongst patients with ASCVD, the prevalence of self-reported low-fat diets was low and decreased in line with changes in recommendations in major guidelines. The prevalence of self-reported vegetarian diets was low but increased in line with societal and guideline changes. The prevalence of self-reported low-salt diets was low, especially in CeVD and PAD/AAA patients compared to CAD patients, and decreased over time. Renewed action is needed to promote low-salt diets in ASCVD patients.
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Affiliation(s)
- L L F Hoes
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - J M Geleijnse
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, the Netherlands
| | - N E Bonekamp
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - J A N Dorresteijn
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - M G van der Meer
- Department of Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Frank L J Visseren
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
| | - Charlotte Koopal
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
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S, Pandey A, Pang Z, Panza F, Paoli M, Papadopoulou SK, Papandreou D, Pareja RG, Park SW, Park S, Parnell WR, Parsaeian M, Pascanu IM, Pasquet P, Patel ND, Pattussi M, Pavlyshyn H, Pechlaner R, Pećin I, Pednekar MS, Pedro JM, Peer N, Peixoto SV, Peltonen M, Pereira AC, Peres MA, Perez-Londoño A, Pérez CM, Peterkova V, Peters A, Petkeviciene J, Petrauskiene A, Petrovna Kovtun O, Pettenuzzo E, Peykari N, Pfeiffer N, Phall MC, Pham ST, Phiri FP, Pichardo RN, Pierannunzio D, Pierre-Marie P, Pigeot I, Pikhart H, Pilav A, Piler P, Pilotto L, Pistelli F, Pitakaka F, Piwonska A, Pizarro AN, Plans-Rubió P, Platonova AG, Poh BK, Pohlabeln H, Polka NS, Pop RM, Popkin BM, Popovic SR, Porta M, Posch G, Poudyal A, Poulimeneas D, Pouraram H, Pourfarzi F, Pourshams A, Poustchi H, Price AJ, Price JF, Prista A, Providencia R, Puder JJ, Pudule I, Puhakka S, Puiu M, Punab M, Qadir MS, Qasrawi RF, Qiao Q, Qorbani M, Quintana HK, Quiroga-Padilla PJ, Quoc Bao T, Rach S, Radic I, Radisauskas R, Rahimikazerooni S, Rahman M, Rahman M, Raitakari O, Raj M, Rajabov T, Rakhmatulloev S, Rakovac I, Ramachandra Rao S, Ramachandran A, Ramadan OPC, Ramires VV, Ramirez-Zea M, Ramke J, Ramos E, Ramos R, Rampal L, Rampal S, Ramsay SE, Rangelova LS, Rarra V, Rascon-Pacheco RA, Rashidi MM, Rech CR, Redon J, Reganit PFM, Regecová V, Renner JDP, Repasy JA, Reuter CP, Revilla L, Reynolds A, Rezaei N, Rezaianzadeh A, Rho Y, Ribas-Barba L, Ribeiro R, Riboli E, Rigo F, Rigotti A, Rinaldo N, Rinke de Wit TF, Risérus U, Rito AI, Ritti-Dias RM, Rivera JA, Roa RG, Robinson L, Roccaldo R, Rodrigues D, Rodriguez-Perez MDC, Rodríguez-Villamizar LA, Rodríguez AY, Roggenbuck U, Rohloff P, Rohner F, Rojas-Martinez R, Rojroongwasinkul N, Romaguera D, Romeo EL, Rosario RV, Rosengren A, Rouse I, Rouzier V, Roy JGR, Ruano MH, Rubinstein A, Rühli FJ, Ruidavets JB, Ruiz-Betancourt BS, Ruiz-Castell M, Ruiz Moreno E, Rusakova IA, Rusek W, Russell Jonsson K, Russo P, Rust P, Rutkowski M, Saamel M, Saar CG, Sabanayagam C, Sabbaghi H, Sacchini E, Sachdev HS, Sadjadi A, Safarpour AR, Safi S, Safiri S, Saghi MH, Saidi O, Saieva C, Sakata S, Saki N, Šalaj S, Salanave B, Salazar Martinez E, Salhanova A, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Samoutian M, Sánchez-Abanto J, Sánchez Rodríguez I, Sandjaja, Sans S, Santa-Marina L, Santacruz E, Santos DA, Santos IS, Santos LC, Santos MP, Santos O, Santos R, Santos TR, Saramies JL, Sardinha LB, Sarrafzadegan N, Sathish T, Saum KU, Savva S, Savy M, Sawada N, Sbaraini M, Scazufca M, Schaan BD, Schaffrath Rosario A, Schargrodsky H, Schienkiewitz A, Schindler K, Schipf S, Schmidt B, Schmidt CO, Schmidt IM, Schneider A, Schnohr P, Schöttker B, Schramm S, Schramm S, Schröder H, Schultsz C, Schultz G, Schulze MB, Schutte AE, Sebert S, Sedaghattalab M, Selamat R, Sember V, Sen A, Senbanjo IO, Sepanlou SG, Sequera G, Serra-Majem L, Servais J, Ševčíková Ľ, Sewpaul R, Shalnova S, Shamah-Levy T, Shamshirgaran SM, Shanthirani CS, Sharafkhah M, Sharma SK, Sharman A, Shaw JE, Shayanrad A, Shayesteh AA, Shengelia L, Shi Z, Shibuya K, Shimizu-Furusawa H, Shimony T, Shiri R, Shrestha N, Si-Ramlee K, Siani A, Siantar R, Sibai AM, Sidossis LS, Silitrari N, Silva AM, Silva CRDM, Silva DAS, Silva KS, Sim X, Simon M, Simons J, Simons LA, Sjöberg A, Sjöström M, Skoblina EV, Skoblina NA, Slazhnyova T, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, So HK, Soares FC, Sobek G, Sobngwi E, Sodemann M, Söderberg S, Soekatri MYE, Soemantri A, Sofat R, Solfrizzi V, Solovieva YV, Somi MH, Sonestedt E, Song Y, Soofi S, Sørensen TIA, Sørgjerd EP, Sossa Jérome C, Soto-Rojas VE, Soumaré A, Sousa-Poza A, Sovic S, Sparboe-Nilsen B, Sparrenberger K, Spencer PR, Spinelli A, Spiroski I, Staessen JA, Stamm H, Stang A, Starc G, Staub K, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Steinsbekk S, Stergiou GS, Stessman J, Stevanović R, Stieber J, Stöckl D, Stokwiszewski J, Stoyanova E, Stratton G, Stronks K, Strufaldi MW, Sturua L, Suárez-Medina R, Suarez-Ortegón MF, Suebsamran P, Sugiyama M, Suka M, Sulo G, Sun CA, Sun L, Sund M, Sundström J, Sung YT, Sunyer J, Suriyawongpaisal P, Sweis NWG, Swinburn BA, Sy RG, Sylva RC, Szponar L, Tabone L, Tai ES, Takuro F, Tambalis KD, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanrygulyyeva M, Tanser F, Tao Y, Tarawneh MR, Tarp J, Tarqui-Mamani CB, Taxová Braunerová R, Taylor A, Taylor J, Tchibindat F, Te Velde S, Tebar WR, Tell GS, Tello T, Tessema M, Tham YC, Thankappan KR, Theobald H, Theodoridis X, Thomas N, Thorand B, Thrift AG, Tichá Ľ, Timmermans EJ, Tjandrarini DH, Tjonneland A, Tolonen HK, Tolstrup JS, Tomaszewski M, Topbas M, Topór-Mądry R, Torheim LE, Tornaritis MJ, Torrent M, Torres-Collado L, Toselli S, Touloumi G, Traissac P, Tran TTH, Tremblay MS, Triantafyllou A, Trichopoulos D, Trichopoulou A, Trinh OTH, Trivedi A, Tshepo L, Tsigga M, Tsintavis P, Tsugane S, Tuitele J, Tuliakova AM, Tulloch-Reid MK, Tullu F, Tuomainen TP, Tuomilehto J, Twig G, Tynelius P, Tzala E, Tzotzas T, Tzourio C, Udoji N, Ueda P, Ugel E, Ukoli FAM, Ulmer H, Unal B, Usupova Z, Uusitalo HMT, Uysal N, Vaitkeviciute J, Valdivia G, Vale S, Valvi D, van Dam RM, van den Born BJ, Van der Heyden J, van der Schouw YT, Van Herck K, Van Lippevelde W, Van Minh H, Van Schoor NM, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Varbo A, Varela-Moreiras G, Vargas LN, Varona-Pérez P, Vasan SK, Vasques DG, Vatasescu R, Vega T, Veidebaum T, Velasquez-Melendez G, Velika B, Verloigne M, Veronesi G, Verschuren WMM, Victora CG, Viegi G, Viet L, Vik FN, Vilar M, Villalpando S, Vioque J, Viriyautsahakul N, Virtanen JK, Visser M, Visvikis-Siest S, Viswanathan B, Vladulescu M, Vlasoff T, Vocanec D, Vollenweider P, Völzke H, Vourli G, Voutilainen A, Vrijheid M, Vrijkotte TGM, Vuletić S, Wade AN, Waldhör T, Walton J, Wambiya EOA, Wan Bebakar WM, Wan Mohamud WN, Wanderley Júnior RDS, Wang C, Wang H, Wang MD, Wang N, Wang Q, Wang X, Wang YX, Wang YW, Wannamethee SG, Wareham N, Wartha O, Weber A, Wedderkopp N, Weghuber D, Wei W, Weres A, Werner B, Westbury LD, Whincup PH, Wichstrøm L, Wickramasinghe K, Widhalm K, Widyahening IS, Więcek A, Wild PS, Wilks RJ, Willeit J, Willeit P, Williams J, Wilsgaard T, Wirth JP, Wojtyniak B, Woldeyohannes M, Wolf K, Wong-McClure RA, Wong A, Wong EB, Wong JE, Wong TY, Woo J, Woodward M, Wu FC, Wu HY, Wu J, Wu LJ, Wu S, Wyszyńska J, Xu H, Xu L, Yaacob NA, Yamborisut U, Yan L, Yan W, Yang L, Yang X, Yang Y, Yardim N, Yasuharu T, Yépez García M, Yiallouros PK, Yngve A, Yoosefi M, Yoshihara A, Yotov Y, You QS, You SL, Younger-Coleman NO, Yu YL, Yu Y, Yusof SM, Yusoff AF, Zaccagni L, Zafiropulos V, Zainuddin AA, Zakavi SR, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zargar AH, Zaw KK, Zayed AA, Zdrojewski T, Żegleń M, Zejglicova K, Zeljkovic Vrkic T, Zeng Y, Zentai A, Zhang B, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhecheva YV, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zimmet P, Zins M, Zitt E, Zocalo Y, Zoghlami N, Zuñiga Cisneros J, Zuziak M, Ezzati M. Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults. Lancet 2024; 403:1027-1050. [PMID: 38432237 PMCID: PMC7615769 DOI: 10.1016/s0140-6736(23)02750-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/22/2023] [Accepted: 12/05/2023] [Indexed: 03/05/2024]
Abstract
BACKGROUND Underweight and obesity are associated with adverse health outcomes throughout the life course. We estimated the individual and combined prevalence of underweight or thinness and obesity, and their changes, from 1990 to 2022 for adults and school-aged children and adolescents in 200 countries and territories. METHODS We used data from 3663 population-based studies with 222 million participants that measured height and weight in representative samples of the general population. We used a Bayesian hierarchical model to estimate trends in the prevalence of different BMI categories, separately for adults (age ≥20 years) and school-aged children and adolescents (age 5-19 years), from 1990 to 2022 for 200 countries and territories. For adults, we report the individual and combined prevalence of underweight (BMI <18·5 kg/m2) and obesity (BMI ≥30 kg/m2). For school-aged children and adolescents, we report thinness (BMI <2 SD below the median of the WHO growth reference) and obesity (BMI >2 SD above the median). FINDINGS From 1990 to 2022, the combined prevalence of underweight and obesity in adults decreased in 11 countries (6%) for women and 17 (9%) for men with a posterior probability of at least 0·80 that the observed changes were true decreases. The combined prevalence increased in 162 countries (81%) for women and 140 countries (70%) for men with a posterior probability of at least 0·80. In 2022, the combined prevalence of underweight and obesity was highest in island nations in the Caribbean and Polynesia and Micronesia, and countries in the Middle East and north Africa. Obesity prevalence was higher than underweight with posterior probability of at least 0·80 in 177 countries (89%) for women and 145 (73%) for men in 2022, whereas the converse was true in 16 countries (8%) for women, and 39 (20%) for men. From 1990 to 2022, the combined prevalence of thinness and obesity decreased among girls in five countries (3%) and among boys in 15 countries (8%) with a posterior probability of at least 0·80, and increased among girls in 140 countries (70%) and boys in 137 countries (69%) with a posterior probability of at least 0·80. The countries with highest combined prevalence of thinness and obesity in school-aged children and adolescents in 2022 were in Polynesia and Micronesia and the Caribbean for both sexes, and Chile and Qatar for boys. Combined prevalence was also high in some countries in south Asia, such as India and Pakistan, where thinness remained prevalent despite having declined. In 2022, obesity in school-aged children and adolescents was more prevalent than thinness with a posterior probability of at least 0·80 among girls in 133 countries (67%) and boys in 125 countries (63%), whereas the converse was true in 35 countries (18%) and 42 countries (21%), respectively. In almost all countries for both adults and school-aged children and adolescents, the increases in double burden were driven by increases in obesity, and decreases in double burden by declining underweight or thinness. INTERPRETATION The combined burden of underweight and obesity has increased in most countries, driven by an increase in obesity, while underweight and thinness remain prevalent in south Asia and parts of Africa. A healthy nutrition transition that enhances access to nutritious foods is needed to address the remaining burden of underweight while curbing and reversing the increase in obesity. FUNDING UK Medical Research Council, UK Research and Innovation (Research England), UK Research and Innovation (Innovate UK), and European Union.
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Zheng JS, Steur M, Imamura F, Freisling H, Johnson L, van der Schouw YT, Tong TY, Weiderpass E, Bajracharya R, Crous-Bou M, Dahm CC, Heath AK, Ibsen DB, Jannasch F, Katzke V, Masala G, Moreno-Iribas C, Sacerdote C, Schulze MB, Sieri S, Wareham NJ, Danesh J, Butterworth AS, Forouhi NG. Dietary intake of plant- and animal-derived protein and incident cardiovascular diseases: the pan-European EPIC-CVD case-cohort study. Am J Clin Nutr 2024:S0002-9165(24)00341-1. [PMID: 38479550 DOI: 10.1016/j.ajcnut.2024.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 02/15/2024] [Accepted: 03/07/2024] [Indexed: 03/28/2024] Open
Abstract
BACKGROUND Epidemiological evidence suggests that a potential association between dietary protein intake and cardiovascular disease (CVD) may depend on the protein source, that is, plant- or animal-derived, but past research was limited and inconclusive. OBJECTIVES To evaluate the association of dietary plant- or animal-derived protein consumption with risk of CVD, and its components ischemic heart disease (IHD) and stroke. METHODS This analysis in the European Prospective Investigation into Cancer and Nutrition (EPIC)-CVD case-cohort study included 16,244 incident CVD cases (10,784 IHD and 6423 stroke cases) and 15,141 subcohort members from 7 European countries. We investigated the association of estimated dietary protein intake with CVD, IHD, and stroke (total, fatal, and nonfatal) using multivariable-adjusted Prentice-weighted Cox regression. We estimated isocaloric substitutions of replacing fats and carbohydrates with plant- or animal-derived protein and replacing food-specific animal protein with plant protein. Multiplicative interactions between dietary protein and prespecified variables were tested. RESULTS Neither plant- nor animal-derived protein intake was associated with incident CVD, IHD, or stroke in adjusted analyses without or with macronutrient-specified substitution analyses. Higher plant-derived protein intake was associated with 22% lower total stroke incidence among never smokers [HR 0.78, 95% confidence intervals (CI): 0.62, 0.99], but not among current smokers (HR 1.08, 95% CI: 0.83, 1.40, P-interaction = 0.004). Moreover, higher plant-derived protein (per 3% total energy) when replacing red meat protein (HR 0.52, 95% CI: 0.31, 0.88), processed meat protein (HR 0.39, 95% CI: 0.17, 0.90), and dairy protein (HR 0.54, 95% CI: 0.30, 0.98) was associated with lower incidence of fatal stroke. CONCLUSION Plant- or animal-derived protein intake was not associated with overall CVD. However, the association of plant-derived protein consumption with lower total stroke incidence among nonsmokers, and with lower incidence of fatal stroke highlights the importance of investigating CVD subtypes and potential interactions. These observations warrant further investigation in diverse populations with varying macronutrient intakes and dietary patterns.
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Affiliation(s)
- Ju-Sheng Zheng
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom; School of Life Sciences, Westlake University, Hangzhou, China.
| | - Marinka Steur
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom; Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Heinz Freisling
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Laura Johnson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Tammy Yn Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | | | - Rashmita Bajracharya
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Marta Crous-Bou
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO) - Bellvitge Biomedical Research Institute (IDIBELL). L'Hospitalet de Llobregat, Barcelona, Spain; Department of Epidemiology, Harvard T.H. Chan School of Public Health. Boston, MA, United States
| | | | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Daniel B Ibsen
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom; Department of Public Health, Aarhus University, Aarhus, Denmark; Steno Diabetes Center Aarhus, Aarhus, Denmark; Department of Nutrition, Sports and Exercise, University of Copenhagen, Copenhagen, Denmark
| | - Franziska Jannasch
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Conchi Moreno-Iribas
- Instituto de Salud Pública y Laboral de Navarra, Pamplona, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano Via Venezian, Milan, Italy
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - John Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, United Kingdom; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, United Kingdom; National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, United Kingdom; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, United Kingdom; Department of Human Genetics, The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, United Kingdom; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, United Kingdom; National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, United Kingdom; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, United Kingdom
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
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Werner L, van der Schouw YT, de Kat AC. A systematic review of the association between modifiable lifestyle factors and circulating anti-Müllerian hormone. Hum Reprod Update 2024:dmae004. [PMID: 38402486 DOI: 10.1093/humupd/dmae004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 01/21/2024] [Indexed: 02/26/2024] Open
Abstract
BACKGROUND Levels of anti-Müllerian hormone (AMH) are known to be associated with lifestyle determinants such as smoking and oral contraception (OC) use. When measuring AMH in clinical practice, it is essential to know which factors may influence circulating levels or ovarian reserve in general. OBJECTIVE AND RATIONALE To date, there is no systematic review or summarizing consensus of the nature and magnitude of the relation between AMH and modifiable lifestyle factors. The purpose of this review was to systematically assess the evidence on association of lifestyle behaviors with circulating AMH levels. SEARCH METHODS We performed a pre-registered systematic review of publications in Embase and PubMed on the lifestyle factors BMI, smoking, OC use, alcohol consumption, caffeine consumption, physical activity, and waist-hip ratio (WHR) in relation to circulating AMH levels up to 1 November 2023. The search strategy included terms such as 'Anti-Mullerian hormone', 'lifestyle', and 'women'. Studies were considered eligible if the association between at least one of the lifestyle factors of interest and AMH was assessed in adult women. The quality of included studies was assessed using the Study Quality Assessment Tools of the National Heart, Lung, and Blood Institute. The results were presented as ranges of the most frequently used association measure for studies that found a significant association in the same direction. OUTCOMES A total of 15 072 records were identified, of which 65 studies were eligible for inclusion, and 66.2% of the studies used a cross-sectional design. The majority of studies investigating BMI, smoking, OC use, and physical activity reported significant inverse associations with AMH levels. For WHR, alcohol, and caffeine use, the majority of studies did not find an association with AMH. For all determinants, the effect measures of the reported associations were heterogeneous. The mean difference in AMH levels per unit increase in BMI ranged from -0.015 to -0.2 ng/ml in studies that found a significant inverse association. The mean difference in AMH levels for current smokers versus non-smokers ranged from -0.4 to -1.1 ng/ml, and -4% to -44%, respectively. For current OC use, results included a range in relative mean differences in AMH levels of -17% to -31.1%, in addition to a decrease of 11 age-standardized percentiles, and an average decrease of 1.97 ng/ml after 9 weeks of OC use. Exercise interventions led to a decrease in AMH levels of 2.8 pmol/l to 13.2 pmol/l after 12 weeks in women with polycystic ovary syndrome or a sedentary lifestyle. WIDER IMPLICATIONS Lifestyle factors are associated with differences in AMH levels and thus should be taken into account when interpreting individual AMH measurements. Furthermore, AMH levels can be influenced by the alteration of lifestyle behaviors. While this can be a helpful tool for clinical and lifestyle counseling, the nature of the relation between the observed differences in AMH and the true ovarian reserve remains to be assessed. REGISTRATION NUMBER PROSPERO registration ID: CRD42022322575.
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Affiliation(s)
- Lotte Werner
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Annelien C de Kat
- Department of Reproductive Medicine and Gynecology, University Medical Center Utrecht, Utrecht, The Netherlands
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Stuber JM, Mackenbach JD, de Bruijn GJ, Gillebaart M, Hoenink JC, Middel CNH, de Ridder DTD, van der Schouw YT, Smit EG, Velema E, Vos AL, Waterlander WE, Lakerveld J, Beulens JWJ. Real-world nudging, pricing, and mobile physical activity coaching was insufficient to improve lifestyle behaviours and cardiometabolic health: the Supreme Nudge parallel cluster-randomised controlled supermarket trial. BMC Med 2024; 22:52. [PMID: 38303069 PMCID: PMC10835818 DOI: 10.1186/s12916-024-03268-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 01/22/2024] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND Context-specific interventions may contribute to sustained behaviour change and improved health outcomes. We evaluated the real-world effects of supermarket nudging and pricing strategies and mobile physical activity coaching on diet quality, food-purchasing behaviour, walking behaviour, and cardiometabolic risk markers. METHODS This parallel cluster-randomised controlled trial included supermarkets in socially disadvantaged neighbourhoods across the Netherlands with regular shoppers aged 30-80 years. Supermarkets were randomised to receive co-created nudging and pricing strategies promoting healthier purchasing (N = 6) or not (N = 6). Nudges targeted 9% of supermarket products and pricing strategies 3%. Subsequently, participants were individually randomised to a control (step counter app) or intervention arm (step counter and mobile coaching app) to promote walking. The primary outcome was the average change in diet quality (low (0) to high (150)) over all follow-up time points measured with a validated 40-item food frequency questionnaire at baseline and 3, 6, and 12 months. Secondary outcomes included healthier food purchasing (loyalty card-derived), daily step count (step counter app), cardiometabolic risk markers (lipid profile and HbA1c via finger prick, and waist circumference via measuring tape), and supermarket customer satisfaction (questionnaire-based: very unsatisfied (1) to very satisfied (7)), evaluated using linear mixed-models. Healthy supermarket sales (an exploratory outcome) were analysed via controlled interrupted time series analyses. RESULTS Of 361 participants (162 intervention, 199 control), 73% were female, the average age was 58 (SD 11) years, and 42% were highly educated. Compared to the control arm, the intervention arm showed no statistically significant average changes over time in diet quality (β - 1.1 (95% CI - 3.8 to 1.7)), percentage healthy purchasing (β 0.7 ( - 2.7 to 4.0)), step count (β - 124.0 (- 723.1 to 475.1), or any of the cardiometabolic risk markers. Participants in the intervention arm scored 0.3 points (0.1 to 0.5) higher on customer satisfaction on average over time. Supermarket-level sales were unaffected (β - 0.0 (- 0.0 to 0.0)). CONCLUSIONS Co-created nudging and pricing strategies that predominantly targeted healthy products via nudges were unable to increase healthier food purchases and intake nor improve cardiometabolic health. The mobile coaching intervention did not affect step count. Governmental policy measures are needed to ensure more impactful supermarket modifications that promote healthier purchases. TRIAL REGISTRATION Dutch Trial Register ID NL7064, 30 May 2018, https://www.onderzoekmetmensen.nl/en/trial/20990.
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Affiliation(s)
- Josine M Stuber
- Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands.
- Amsterdam Public Health, Amsterdam, the Netherlands.
- Upstream Team, www.upstreamteam.nl, Amsterdam UMC, De Boelelaan 1117, Amsterdam, the Netherlands.
| | - Joreintje D Mackenbach
- Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands
- Amsterdam Public Health, Amsterdam, the Netherlands
- Upstream Team, www.upstreamteam.nl, Amsterdam UMC, De Boelelaan 1117, Amsterdam, the Netherlands
| | - Gert-Jan de Bruijn
- Department of Communication Science, University of Antwerp, St-Jacobstraat 2, 2000, Antwerp, Belgium
| | - Marleen Gillebaart
- Department of Social, Health and Organizational Psychology, Utrecht University, Utrecht, the Netherlands
| | - Jody C Hoenink
- Centre for Diet and Activity Research, MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Cédric N H Middel
- Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands
- Amsterdam Public Health, Amsterdam, the Netherlands
- Upstream Team, www.upstreamteam.nl, Amsterdam UMC, De Boelelaan 1117, Amsterdam, the Netherlands
| | - Denise T D de Ridder
- Department of Social, Health and Organizational Psychology, Utrecht University, Utrecht, the Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, Utrecht, the Netherlands
| | - Edith G Smit
- Amsterdam School of Communication Research, University of Amsterdam, Nieuwe Achtergracht 166, Amsterdam, the Netherlands
| | - Elizabeth Velema
- Netherlands Nutrition Centre (Voedingscentrum), Bezuidenhoutseweg 105, The Hague, The Netherlands
| | - Anne L Vos
- Amsterdam School of Communication Research, University of Amsterdam, Nieuwe Achtergracht 166, Amsterdam, the Netherlands
| | - Wilma E Waterlander
- Amsterdam Public Health, Amsterdam, the Netherlands
- Public and Occupational Health, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, the Netherlands
| | - Jeroen Lakerveld
- Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands
- Amsterdam Public Health, Amsterdam, the Netherlands
- Upstream Team, www.upstreamteam.nl, Amsterdam UMC, De Boelelaan 1117, Amsterdam, the Netherlands
| | - Joline W J Beulens
- Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands
- Amsterdam Public Health, Amsterdam, the Netherlands
- Upstream Team, www.upstreamteam.nl, Amsterdam UMC, De Boelelaan 1117, Amsterdam, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, Utrecht, the Netherlands
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6
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Groenewegen A, Zwartkruis VW, Rienstra M, Zuithoff NPA, Hollander M, Koffijberg H, Oude Wolcherink M, Cramer MJ, van der Schouw YT, Hoes AW, Rutten FH, de Boer RA. Diagnostic yield of a proactive strategy for early detection of cardiovascular disease versus usual care in adults with type 2 diabetes or chronic obstructive pulmonary disease in primary care in the Netherlands (RED-CVD): a multicentre, pragmatic, cluster-randomised, controlled trial. Lancet Public Health 2024; 9:e88-e99. [PMID: 38134944 DOI: 10.1016/s2468-2667(23)00269-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 09/18/2023] [Accepted: 10/20/2023] [Indexed: 12/24/2023]
Abstract
BACKGROUND Progressive cardiovascular diseases (eg, heart failure, atrial fibrillation, and coronary artery disease) are often diagnosed late in high-risk individuals with common comorbidities that might mimic or mask symptoms, such as chronic obstructive pulmonary disease (COPD) and type 2 diabetes. We aimed to assess whether a proactive diagnostic strategy consisting of a symptom and risk factor questionnaire and low-cost and accessible tests could increase diagnosis of progressive cardiovascular diseases in patients with COPD or type 2 diabetes in primary care. METHODS In this multicentre, pragmatic, cluster-randomised, controlled trial (RED-CVD), 25 primary care practices in the Netherlands were randomly assigned to usual care or a proactive diagnostic strategy conducted during routine consultations and consisting of a validated symptom questionnaire, followed by physical examination, N-terminal-pro-B-type natriuretic peptide measurement, and electrocardiography. We included adults (≥18 years) with type 2 diabetes, COPD, or both, who participated in a disease management programme. Patients with an established triple diagnosis of heart failure, atrial fibrillation, and coronary artery disease were excluded. In the case of abnormal findings, further work-up or treatment was done at the discretion of the general practitioner. The primary endpoint was the number of newly diagnosed cases of heart failure, atrial fibrillation, and coronary artery disease, adjudicated by an expert clinical outcome committee using international guidelines, at 1-year follow-up, in the intention-to-treat population. FINDINGS Between Jan 31, 2019, and Oct 7, 2021, we randomly assigned 25 primary care centres: 11 to usual care and 14 to the intervention. We included patients between June 21, 2019, and Jan 31, 2022. Following exclusion of ineligible patients and those who did not give informed consent, 1216 participants were included: 624 (51%) in the intervention group and 592 (49%) in the usual care group. The mean age of participants was 68·4 years (SD 9·4), 482 (40%) participants were female, and 734 (60%) were male. During 1 year of follow-up, 50 (8%) of 624 participants in the intervention group and 18 (3%) of 592 in the control group were newly diagnosed with heart failure, atrial fibrillation, or coronary artery disease (adjusted odds ratio 2·97 [95% CI 1·66-5·33]). This trial is registered with the Netherlands Trial Registry, NTR7360, and was completed on Jan 31, 2023. INTERPRETATION An easy-to-use, proactive, diagnostic strategy more than doubled the number of new diagnoses of heart failure, atrial fibrillation, and coronary artery disease in patients with type 2 diabetes or COPD in primary care compared with usual care. Although the effect on patient outcomes remains to be studied, our diagnostic strategy might contribute to improved early detection and timely initiation of treatment in individuals with cardiovascular disease. FUNDING Dutch Heart Foundation.
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Affiliation(s)
- Amy Groenewegen
- Department of General Practice & Nursing Science, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.
| | - Victor W Zwartkruis
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Michiel Rienstra
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Nicolaas P A Zuithoff
- Department of Data Science & Biostatistics, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Monika Hollander
- Department of General Practice & Nursing Science, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Hendrik Koffijberg
- Department of Health Technology & Services Research, University of Twente, Enschede, Netherlands
| | - Martijn Oude Wolcherink
- Department of Health Technology & Services Research, University of Twente, Enschede, Netherlands
| | - Maarten J Cramer
- Department of Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Yvonne T van der Schouw
- Department of Epidemiology and Health Economics, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Arno W Hoes
- Medical Faculty and Executive Board, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Frans H Rutten
- Department of General Practice & Nursing Science, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Rudolf A de Boer
- Department of Cardiology, Erasmus Medical Center, University of Rotterdam, Rotterdam, Netherlands
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7
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Tong TYN, Clarke R, Schmidt JA, Huybrechts I, Noor U, Forouhi NG, Imamura F, Travis RC, Weiderpass E, Aleksandrova K, Dahm CC, van der Schouw YT, Overvad K, Kyrø C, Tjønneland A, Kaaks R, Katzke V, Schiborn C, Schulze MB, Mayen-Chacon AL, Masala G, Sieri S, de Magistris MS, Tumino R, Sacerdote C, Boer JMA, Verschuren WMM, Brustad M, Nøst TH, Crous-Bou M, Petrova D, Amiano P, Huerta JM, Moreno-Iribas C, Engström G, Melander O, Johansson K, Lindvall K, Aglago EK, Heath AK, Butterworth AS, Danesh J, Key TJ. Dietary amino acids and risk of stroke subtypes: a prospective analysis of 356,000 participants in seven European countries. Eur J Nutr 2024; 63:209-220. [PMID: 37804448 PMCID: PMC10799144 DOI: 10.1007/s00394-023-03251-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 09/08/2023] [Indexed: 10/09/2023]
Abstract
PURPOSE Previously reported associations of protein-rich foods with stroke subtypes have prompted interest in the assessment of individual amino acids. We examined the associations of dietary amino acids with risks of ischaemic and haemorrhagic stroke in the EPIC study. METHODS We analysed data from 356,142 participants from seven European countries. Dietary intakes of 19 individual amino acids were assessed using validated country-specific dietary questionnaires, calibrated using additional 24-h dietary recalls. Multivariable-adjusted Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) of ischaemic and haemorrhagic stroke in relation to the intake of each amino acid. The role of blood pressure as a potential mechanism was assessed in 267,642 (75%) participants. RESULTS After a median follow-up of 12.9 years, 4295 participants had an ischaemic stroke and 1375 participants had a haemorrhagic stroke. After correction for multiple testing, a higher intake of proline (as a percent of total protein) was associated with a 12% lower risk of ischaemic stroke (HR per 1 SD higher intake 0.88; 95% CI 0.82, 0.94). The association persisted after mutual adjustment for all other amino acids, systolic and diastolic blood pressure. The inverse associations of isoleucine, leucine, valine, phenylalanine, threonine, tryptophan, glutamic acid, serine and tyrosine with ischaemic stroke were each attenuated with adjustment for proline intake. For haemorrhagic stroke, no statistically significant associations were observed in the continuous analyses after correcting for multiple testing. CONCLUSION Higher proline intake may be associated with a lower risk of ischaemic stroke, independent of other dietary amino acids and blood pressure.
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Affiliation(s)
- Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK.
| | - Robert Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
- Departments of Clinical Epidemiology, Clinical Medicine, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
| | - Inge Huybrechts
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC), World Health Organization (WHO), Lyon, France
| | - Urwah Noor
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Elisabete Weiderpass
- International Agency for Research on Cancer (IARC), World Health Organization (WHO), Lyon, France
| | - Krasimira Aleksandrova
- Department Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany
- Faculty of Human and Health Sciences, University of Bremen, Grazer Straße 2, 28359, Bremen, Germany
| | | | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Cecilie Kyrø
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | | | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Catarina Schiborn
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute for Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Ana-Lucia Mayen-Chacon
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC), World Health Organization (WHO), Lyon, France
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Milan, Italy
| | | | - Rosario Tumino
- Hyblean Association for Epidemiological Research AIRE-ONLUS, Ragusa, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy
| | - Jolanda M A Boer
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - W M Monique Verschuren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Magritt Brustad
- Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Tromsø, Norway
- The Public Dental Service Competence Centre of Northern Norway (TkNN), Tromsø, Norway
| | - Therese Haugdahl Nøst
- Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Tromsø, Norway
- K.G. Jebsen Centre for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Marta Crous-Bou
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO)-Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Dafina Petrova
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria Ibs.GRANADA, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C. de Melchor Fernández Almagro, Madrid, Spain
| | - Pilar Amiano
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C. de Melchor Fernández Almagro, Madrid, Spain
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastian, Spain
- Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, San Sebastián, Spain
| | - José María Huerta
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C. de Melchor Fernández Almagro, Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
| | - Conchi Moreno-Iribas
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C. de Melchor Fernández Almagro, Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, SpainInstituto de Salud Pu´Blica de Navarra, IdiSNA, Navarre Institute for Health Research, Pamplona, Spain
| | - Gunnar Engström
- Department of Clinical Science in Malmö, Lund University, Clinical Research Center, Malmö, Sweden
| | - Olle Melander
- Department of Clinical Science in Malmö, Lund University, Clinical Research Center, Malmö, Sweden
- Department of Emergency and Internal Medicine, Skåne University Hospital, Malmö, Sweden
| | - Kristina Johansson
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Kristina Lindvall
- Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden
| | - Elom K Aglago
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Hills Road, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
| | - John Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Hills Road, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
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8
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Sofianopoulou E, Kaptoge SK, Afzal S, Jiang T, Gill D, Gundersen TE, Bolton TR, Allara E, Arnold MG, Mason AM, Chung R, Pennells LAM, Shi F, Sun L, Willeit P, Forouhi NG, Langenberg C, Sharp SJ, Panico S, Engström G, Melander O, Tong TYN, Perez-Cornago A, Norberg M, Johansson I, Katzke V, Srour B, Sánchez MJ, Redondo-Sánchez D, Olsen A, Dahm CC, Overvad K, Brustad M, Skeie G, Moreno-Iribas C, Onland-Moret NC, van der Schouw YT, Tsilidis KK, Heath AK, Agnoli C, Krogh V, de Boer IH, Kobylecki CJ, Çolak Y, Zittermann A, Sundström J, Welsh P, Weiderpass E, Aglago EK, Ferrari P, Clarke R, Boutron MC, Severi G, MacDonald C, Providencia R, Masala G, Zamora-Ros R, Boer J, Verschuren WMM, Cawthon P, Schierbeck LL, Cooper C, Schulze MB, Bergmann MM, Hannemann A, Kiechl S, Brenner H, van Schoor NM, Albertorio JR, Sacerdote C, Linneberg A, Kårhus LL, Huerta JM, Imaz L, Joergensen C, Ben-Shlomo Y, Lundqvist A, Gallacher J, Sattar N, Wood AM, Wareham NJ, Nordestgaard BG, Di Angelantonio E, Danesh J, Butterworth AS, Burgess S. Estimating dose-response relationships for vitamin D with coronary heart disease, stroke, and all-cause mortality: observational and Mendelian randomisation analyses. Lancet Diabetes Endocrinol 2024; 12:e2-e11. [PMID: 38048800 PMCID: PMC7615586 DOI: 10.1016/s2213-8587(23)00287-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 09/05/2023] [Accepted: 09/27/2023] [Indexed: 12/06/2023]
Abstract
BACKGROUND Randomised trials of vitamin D supplementation for cardiovascular disease and all-cause mortality have generally reported null findings. However, generalisability of results to individuals with low vitamin D status is unclear. We aimed to characterise dose-response relationships between 25-hydroxyvitamin D (25[OH]D) concentrations and risk of coronary heart disease, stroke, and all-cause mortality in observational and Mendelian randomisation frameworks. METHODS Observational analyses were undertaken using data from 33 prospective studies comprising 500 962 individuals with no known history of coronary heart disease or stroke at baseline. Mendelian randomisation analyses were performed in four population-based cohort studies (UK Biobank, EPIC-CVD, and two Copenhagen population-based studies) comprising 386 406 middle-aged individuals of European ancestries, including 33 546 people who developed coronary heart disease, 18 166 people who had a stroke, and 27 885 people who died. Primary outcomes were coronary heart disease, defined as fatal ischaemic heart disease (International Classification of Diseases 10th revision code I20-I25) or non-fatal myocardial infarction (I21-I23); stroke, defined as any cerebrovascular disease (I60-I69); and all-cause mortality. FINDINGS Observational analyses suggested inverse associations between incident coronary heart disease, stroke, and all-cause mortality outcomes with 25(OH)D concentration at low 25(OH)D concentrations. In population-wide genetic analyses, there were no associations of genetically predicted 25(OH)D with coronary heart disease (odds ratio [OR] per 10 nmol/L higher genetically-predicted 25(OH)D concentration 0·98, 95% CI 0·95-1·01), stroke (1·01, [0·97-1·05]), or all-cause mortality (0·99, 0·95-1·02). Null findings were also observed in genetic analyses for cause-specific mortality outcomes, and in stratified genetic analyses for all outcomes at all observed levels of 25(OH)D concentrations. INTERPRETATION Stratified Mendelian randomisation analyses suggest a lack of causal relationship for 25(OH)D concentrations with both cardiovascular and mortality outcomes for individuals at all levels of 25(OH)D. Our findings suggest that substantial reductions in mortality and cardiovascular morbidity due to long-term low-dose vitamin D supplementation are unlikely even if targeted at individuals with low vitamin D status. FUNDING British Heart Foundation, Medical Research Council, National Institute for Health Research, Health Data Research UK, Cancer Research UK, and International Agency for Research on Cancer.
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Affiliation(s)
- Emerging Risk Factors Collaboration/EPIC-CVD/Vitamin D Studies Collaboration
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- Copenhagen General Population Study, Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Denmark
- Faculty of Health and Medical Sciences, Copenhagen University, Denmark
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Vitas Ltd, Oslo, Norway
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Department of Medical Statistics, Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria
- Medical Research Council Epidemiology Unit, University of Cambridge, UK
- Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
- Dipartimento Di Medicina Clinica E Chirurgia, Federico II University, Italy
- Department of Clinical Sciences Malmö, Lund University, Sweden
- Department of Emergency and Internal Medicine, Skåne University Hospital, Malmö, Sweden
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, UK
- Department of Public Health and Clinical Medicine, Umeå University, Sweden
- Department of Odontology, Umeå University, Sweden
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- EPIC Granada, Escuela Andaluza de Salud Pública (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health. University of Granada. Granada, Spain
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, Aarhus University, Denmark
- Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Norway
- The Public Dental Health Service Competence Centre of Northern Norway (TkNN), Tromsø, Norway
- Epidemiology, Prevention and Promotion Health Service, Public Health Institute of Navarra, Spain
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Netherlands
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK
- School of Medicine, University of Ioannina, Greece
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Italy
- Department of Medicine, University of Washington, USA
- Clinic for Thoracic and Cardiovascular Surgery, Herz- und Diabeteszentrum Nordrhein-Westfalen, Bad Oeynhausen, Ruhr University Bochum, Germany
- Department of Medical Sciences, Uppsala University, Sweden
- BHF Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
- International Agency for Research on Cancer, France
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, Oxford, UK
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm U1018, Équipe "Exposome et Hérédité", CESP, Gustave Roussy, France
- Department of Statistics, Computer Science and Applications "G. Parenti" (DISIA), University of Florence, Italy
- Institute of Health Informatics Research, University College London, London, UK
- Institute for Cancer Research, Prevention and Clinical Network – ISPRO, Italy
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
- Centre for Nutrition and Health, National Institute for Public Health and the Environment (RIVM)
- Research Institute, California Pacific Medical Center, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, USA
- Cardiology Department, Nordsjælland University Hospital, Hillerød, Denmark
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- Faculty of Medicine, University of Southampton, Southampton, UK
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine Greifswald, Germany
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- VASCage, Research Centre on Vascular Ageing and Stroke, Innsbruck, Austria
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Network Aging Research, University of Heidelberg, Heidelberg, Germany
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Netherlands
- Coalition to End Loneliness, USA
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Denmark
- Department of Epidemiology, Murcia Regional Health Council, Instituto Murciano de Investigación Biosanitaria-Arrixaca, Murcia, Spain
- Public Health Division of Bizkaia, Ministry of Health of the Basque Government, Spain
- Biodonostia Health Research Institute, Donostia-San Sebastian, Spain
- Steno Diabetes Center, Copenhagen, Denmark
- Population Health Sciences, University of Bristol, UK
- Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Psychiatry, University of Oxford, Oxford, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK
- The Alan Turing Institute, UK
- The Copenhagen City Heart Study, Frederiksberg Hospital, Copenhagen University Hospital
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK
- Medical Research Council Biostatistics Unit, University of Cambridge, UK
| | - Eleni Sofianopoulou
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Stephen K Kaptoge
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Shoaib Afzal
- Copenhagen General Population Study, Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Denmark
- Faculty of Health and Medical Sciences, Copenhagen University, Denmark
| | - Tao Jiang
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | | | - Thomas R Bolton
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
| | - Elias Allara
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
| | - Matthew G Arnold
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Amy M Mason
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Ryan Chung
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
| | - Lisa AM Pennells
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Fanchao Shi
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Luanluan Sun
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Peter Willeit
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- Department of Medical Statistics, Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria
| | - Nita G Forouhi
- Medical Research Council Epidemiology Unit, University of Cambridge, UK
| | - Claudia Langenberg
- Medical Research Council Epidemiology Unit, University of Cambridge, UK
- Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Stephen J Sharp
- Medical Research Council Epidemiology Unit, University of Cambridge, UK
| | - Salvatore Panico
- Dipartimento Di Medicina Clinica E Chirurgia, Federico II University, Italy
| | - Gunnar Engström
- Department of Clinical Sciences Malmö, Lund University, Sweden
| | - Olle Melander
- Department of Clinical Sciences Malmö, Lund University, Sweden
- Department of Emergency and Internal Medicine, Skåne University Hospital, Malmö, Sweden
| | - Tammy YN Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, UK
| | - Margareta Norberg
- Department of Public Health and Clinical Medicine, Umeå University, Sweden
| | | | - Verena Katzke
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Bernard Srour
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - María José Sánchez
- EPIC Granada, Escuela Andaluza de Salud Pública (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health. University of Granada. Granada, Spain
| | - Daniel Redondo-Sánchez
- EPIC Granada, Escuela Andaluza de Salud Pública (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Anja Olsen
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, Aarhus University, Denmark
| | | | - Kim Overvad
- Department of Public Health, Aarhus University, Denmark
| | - Magritt Brustad
- Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Norway
- The Public Dental Health Service Competence Centre of Northern Norway (TkNN), Tromsø, Norway
| | - Guri Skeie
- Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Norway
| | - Conchi Moreno-Iribas
- The Public Dental Health Service Competence Centre of Northern Norway (TkNN), Tromsø, Norway
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Netherlands
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK
- School of Medicine, University of Ioannina, Greece
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Italy
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Italy
| | - Ian H de Boer
- Department of Medicine, University of Washington, USA
| | - Camilla Jannie Kobylecki
- Copenhagen General Population Study, Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Denmark
| | - Yunus Çolak
- Copenhagen General Population Study, Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Denmark
| | - Armin Zittermann
- Clinic for Thoracic and Cardiovascular Surgery, Herz- und Diabeteszentrum Nordrhein-Westfalen, Bad Oeynhausen, Ruhr University Bochum, Germany
| | | | - Paul Welsh
- BHF Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | | | | | | | - Robert Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, Oxford, UK
| | - Marie-Christine Boutron
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm U1018, Équipe "Exposome et Hérédité", CESP, Gustave Roussy, France
| | - Gianluca Severi
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm U1018, Équipe "Exposome et Hérédité", CESP, Gustave Roussy, France
- Department of Statistics, Computer Science and Applications "G. Parenti" (DISIA), University of Florence, Italy
| | - Conor MacDonald
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm U1018, Équipe "Exposome et Hérédité", CESP, Gustave Roussy, France
| | - Rui Providencia
- Institute of Health Informatics Research, University College London, London, UK
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network – ISPRO, Italy
| | - Raul Zamora-Ros
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | - Jolanda Boer
- Centre for Nutrition and Health, National Institute for Public Health and the Environment (RIVM)
| | - WM Monique Verschuren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Netherlands
- Centre for Nutrition and Health, National Institute for Public Health and the Environment (RIVM)
| | - Peggy Cawthon
- Research Institute, California Pacific Medical Center, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, USA
| | | | - Cyrus Cooper
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - Matthias B Schulze
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Germany
| | - Manuela M Bergmann
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Anke Hannemann
- Institute of Clinical Chemistry and Laboratory Medicine, DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine Greifswald, Germany
| | - Stefan Kiechl
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- VASCage, Research Centre on Vascular Ageing and Stroke, Innsbruck, Austria
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Network Aging Research, University of Heidelberg, Heidelberg, Germany
| | - Natasja M van Schoor
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Netherlands
| | | | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy
| | - Allan Linneberg
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Denmark
| | - Line L Kårhus
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Denmark
| | - José María Huerta
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, Instituto Murciano de Investigación Biosanitaria-Arrixaca, Murcia, Spain
| | - Liher Imaz
- Public Health Division of Bizkaia, Ministry of Health of the Basque Government, Spain
- Biodonostia Health Research Institute, Donostia-San Sebastian, Spain
| | | | | | | | - John Gallacher
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Naveed Sattar
- BHF Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Angela M Wood
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK
- The Alan Turing Institute, UK
| | | | - Børge G Nordestgaard
- Copenhagen General Population Study, Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Denmark
- Faculty of Health and Medical Sciences, Copenhagen University, Denmark
- The Copenhagen City Heart Study, Frederiksberg Hospital, Copenhagen University Hospital
| | - Emanuele Di Angelantonio
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK
| | - John Danesh
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Adam S Butterworth
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK
| | - Stephen Burgess
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Medical Research Council Biostatistics Unit, University of Cambridge, UK
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9
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Tschiderer L, van der Schouw YT, Burgess S, Bloemenkamp KWM, Seekircher L, Willeit P, Onland-Moret C, Peters SAE. Hypertensive disorders of pregnancy and cardiovascular disease risk: a Mendelian randomisation study. Heart 2023:heartjnl-2023-323490. [PMID: 38148158 DOI: 10.1136/heartjnl-2023-323490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 11/27/2023] [Indexed: 12/28/2023] Open
Abstract
OBJECTIVE Observational studies show that hypertensive disorders of pregnancy (HDPs) are related to unfavourable maternal cardiovascular disease (CVD) risk profiles later in life. We investigated whether genetic liability to pre-eclampsia/eclampsia and gestational hypertension is associated with CVD risk factors and occurrence of CVD events. METHODS We obtained genetic associations with HDPs from a genome-wide association study and used individual participant data from the UK Biobank to obtain genetic associations with CVD risk factors and CVD events (defined as myocardial infarction or stroke). In our primary analysis, we applied Mendelian randomisation using inverse-variance weighted regression analysis in ever pregnant women. In sensitivity analyses, we studied men and nulligravidae to investigate genetic liability to HDPs and CVD risk without the ability to experience the underlying phenotype. RESULTS Our primary analysis included 221 155 ever pregnant women (mean age 56.8 (SD 7.9) years) with available genetic data. ORs for CVD were 1.20 (1.02 to 1.41) and 1.24 (1.12 to 1.38) per unit increase in the log odds of genetic liability to pre-eclampsia/eclampsia and gestational hypertension, respectively. Furthermore, genetic liability to HDPs was associated with higher levels of systolic and diastolic blood pressure and younger age at hypertension diagnosis. Sensitivity analyses revealed no statistically significant differences when comparing the findings with those of nulligravidae and men. CONCLUSIONS Genetic liability to HDPs is associated with higher CVD risk, lower blood pressure levels and earlier hypertension diagnosis. Our study suggests similar findings in ever pregnant women, nulligravidae and men, implying biological mechanisms relating to HDPs are causally related to CVD risk.
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Affiliation(s)
- Lena Tschiderer
- Institute of Health Economics, Medical University of Innsbruck, Innsbruck, Austria
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
| | - Kitty W M Bloemenkamp
- Department of Obstetrics, Division Women and Baby, Birth Centre, Wilhelmina Children Hospital, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Lisa Seekircher
- Institute of Health Economics, Medical University of Innsbruck, Innsbruck, Austria
| | - Peter Willeit
- Institute of Health Economics, Medical University of Innsbruck, Innsbruck, Austria
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Sanne A E Peters
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
- The George Institute for Global Health, School of Public Health, Imperial College London, London, UK
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
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10
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Cordova R, Viallon V, Fontvieille E, Peruchet-Noray L, Jansana A, Wagner KH, Kyrø C, Tjønneland A, Katzke V, Bajracharya R, Schulze MB, Masala G, Sieri S, Panico S, Ricceri F, Tumino R, Boer JM, Verschuren W, van der Schouw YT, Jakszyn P, Redondo-Sánchez D, Amiano P, Huerta JM, Guevara M, Borné Y, Sonestedt E, Tsilidis KK, Millett C, Heath AK, Aglago EK, Aune D, Gunter MJ, Ferrari P, Huybrechts I, Freisling H. Consumption of ultra-processed foods and risk of multimorbidity of cancer and cardiometabolic diseases: a multinational cohort study. Lancet Reg Health Eur 2023; 35:100771. [PMID: 38115963 PMCID: PMC10730313 DOI: 10.1016/j.lanepe.2023.100771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 10/19/2023] [Accepted: 10/20/2023] [Indexed: 12/21/2023]
Abstract
Background It is currently unknown whether ultra-processed foods (UPFs) consumption is associated with a higher incidence of multimorbidity. We examined the relationship of total and subgroup consumption of UPFs with the risk of multimorbidity defined as the co-occurrence of at least two chronic diseases in an individual among first cancer at any site, cardiovascular disease, and type 2 diabetes. Methods This was a prospective cohort study including 266,666 participants (60% women) free of cancer, cardiovascular disease, and type 2 diabetes at recruitment from seven European countries in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Foods and drinks consumed over the previous 12 months were assessed at baseline by food-frequency questionnaires and classified according to their degree of processing using Nova classification. We used multistate modelling based on Cox regression to estimate cause-specific hazard ratios (HR) and their 95% confidence intervals (CI) for associations of total and subgroups of UPFs with the risk of multimorbidity of cancer and cardiometabolic diseases. Findings After a median of 11.2 years of follow-up, 4461 participants (39% women) developed multimorbidity of cancer and cardiometabolic diseases. Higher UPF consumption (per 1 standard deviation increment, ∼260 g/day without alcoholic drinks) was associated with an increased risk of multimorbidity of cancer and cardiometabolic diseases (HR: 1.09, 95% CI: 1.05, 1.12). Among UPF subgroups, associations were most notable for animal-based products (HR: 1.09, 95% CI: 1.05, 1.12), and artificially and sugar-sweetened beverages (HR: 1.09, 95% CI: 1.06, 1.12). Other subgroups such as ultra-processed breads and cereals (HR: 0.97, 95% CI: 0.94, 1.00) or plant-based alternatives (HR: 0.97, 95% CI: 0.91, 1.02) were not associated with risk. Interpretation Our findings suggest that higher consumption of UPFs increases the risk of cancer and cardiometabolic multimorbidity. Funding Austrian Academy of Sciences, Fondation de France, Cancer Research UK, World Cancer Research Fund International, and the Institut National du Cancer.
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Affiliation(s)
- Reynalda Cordova
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - Vivian Viallon
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Emma Fontvieille
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | | | - Anna Jansana
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Karl-Heinz Wagner
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - Cecilie Kyrø
- Danish Cancer Institute Center, Copenhagen, Denmark
| | - Anne Tjønneland
- Danish Cancer Institute Center, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rashmita Bajracharya
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Salvatore Panico
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, Centre for Biostatistics, Epidemiology, and Public Health, University of Turin, Italy
| | - Rosario Tumino
- Hyblean Association for Epidemiological Research, AIRE ONLUS Ragusa, Italy
| | - Jolanda M.A. Boer
- Centre for Prevention, Lifestyle and Health, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - W.M.Monique Verschuren
- Centre for Prevention, Lifestyle and Health, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Paula Jakszyn
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
- Blanquerna School of Health Sciences, Ramon Llull University, Barcelona, Spain
| | - Daniel Redondo-Sánchez
- Escuela Andaluza de Salud Pública (EASP), Granada 18011, Spain
- Instituto de Investigación Biosanitaria ibs. Granada, Granada 18012, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Pilar Amiano
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastian, Spain
- Bio Gipuzkoa Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, San Sebastián, Spain
| | - José María Huerta
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council-IMIB, Murcia, Spain
| | - Marcela Guevara
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Salud Pública y Laboral de Navarra, Pamplona 31003, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona 31008, Spain
| | - Yan Borné
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, The Faculty of Medicine, Lund University, Malmö, Sweden
| | - Emily Sonestedt
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, The Faculty of Medicine, Lund University, Malmö, Sweden
| | - Konstantinos K. Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Christopher Millett
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, United Kingdom
- NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, NOVA University Lisbon, Lisbon, Portugal
| | - Alicia K. Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Elom K. Aglago
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Nutrition, Oslo New University College, Oslo, Norway
- Department of Research, The Cancer Registry of Norway, Oslo, Norway
| | - Marc J. Gunter
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Pietro Ferrari
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Inge Huybrechts
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Heinz Freisling
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
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11
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Zwartkruis VW, Suthahar N, Idema DL, Mahmoud B, van Deutekom C, Rutten FH, van der Schouw YT, Rienstra M, de Boer RA. Relative fat mass and prediction of incident atrial fibrillation, heart failure and coronary artery disease in the general population. Int J Obes (Lond) 2023; 47:1256-1262. [PMID: 37684330 DOI: 10.1038/s41366-023-01380-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 08/24/2023] [Accepted: 08/30/2023] [Indexed: 09/10/2023]
Abstract
BACKGROUND Relative fat mass (RFM) is an emerging marker of obesity that estimates body fat percentage using a sex-specific formula containing height and waist circumference (WC). We studied the association of RFM with incident atrial fibrillation (AF), heart failure (HF), and coronary artery disease (CAD) and explored RFM cutoffs for cardiovascular disease (CVD) prediction. METHODS We studied 95,003 participants (age 45 ± 13 years, 59% women) without prevalent AF, HF or CAD from the population-based Lifelines study. Outcomes were ascertained using electrocardiography and self-reported questionnaire data. We used logistic regression to study the association of RFM with individual outcomes and a composite outcome (incident AF, HF, and/or CAD). Multivariable models were adjusted for components of the SCORE risk model (age, sex, systolic blood pressure, cholesterol, and smoking). Optimal cutoffs were determined using the Youden index. RESULTS During a median follow-up of 3.8 (3.0-4.6) years, 224 (0.2%) participants developed AF, 1003 (1.1%) HF and 657 (0.7%) CAD. After multivariable adjustment, RFM was significantly associated with all outcomes (standardised OR 1.26, 95% CI 1.18-1.34 for the composite outcome). Optimal RFM cutoffs ( ≥26 for men, ≥38 for women) were lower than previously proposed RFM cutoffs ( ≥30 for men, ≥40 for women). In general, overall discriminative ability of RFM and its cutoffs was at least similar (in women) or better (in men) compared to BMI and WC. Since RFM was substantially correlated with age, we additionally determined age-specific cutoffs, which ranged from 23 to 27 in men and 33 to 43 in women. CONCLUSIONS RFM is associated with incident AF, HF, and CAD and may be used as a simple and intuitive marker of obesity and cardiovascular risk in the general population. This study provides potential RFM cutoffs for CVD prediction that may be used by future studies or preventive strategies targeting obesity and cardiovascular risk.
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Affiliation(s)
- Victor W Zwartkruis
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Navin Suthahar
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Cardiology, Thorax Center, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Demy L Idema
- Cochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Belend Mahmoud
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Colinda van Deutekom
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Frans H Rutten
- Department of General Practice, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Yvonne T van der Schouw
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Michiel Rienstra
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Rudolf A de Boer
- Department of Cardiology, Thorax Center, Erasmus University Medical Center, Rotterdam, the Netherlands.
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12
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Tschiderer L, van der Schouw YT, Burgess S, Bloemenkamp KWM, Seekircher L, Willeit P, Onland-Moret NC, Peters SAE. Hypertensive disorders of pregnancy and cardiovascular disease risk: A Mendelian Randomisation study. Eur Heart J 2023; 44:655.2726. [PMID: 38304335 PMCID: PMC7615585 DOI: 10.1093/eurheartj/ehad655.2726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2024] Open
Abstract
Objective Observational studies show that hypertensive disorders of pregnancy (HDPs) are related to unfavourable maternal cardiovascular disease (CVD) risk profiles later in life. We investigated whether genetic liability to pre-eclampsia/eclampsia and gestational hypertension is associated with CVD risk factors and occurrence of CVD events. Methods We obtained genetic associations with HDPs from a genome-wide association study and used individual-participant-data from the UK Biobank to obtain genetic associations with CVD risk factors and CVD events (defined as myocardial infarction or stroke). In our primary analysis, we applied Mendelian Randomisation using inverse-variance weighted regression analysis in ever pregnant women. In sensitivity analyses, we studied men and nulligravidae to investigate genetic liability to HDPs and CVD risk without the ability to experience the underlying phenotype. Results Our primary analysis included 221,155 ever pregnant women (mean age 56.8 [SD 7.9]) with available genetic data. Odds ratios for CVD were 1.20 (1.02-1.41) and 1.24 (1.12-1.38) per unit increase in the log odds of genetic liability to pre-eclampsia/eclampsia and gestational hypertension, respectively. Furthermore, genetic liability to HDPs was associated with higher levels of systolic and diastolic blood pressure and younger age at hypertension diagnosis. Sensitivity analyses revealed no statistically significant differences when comparing the findings to those of nulligravidae and men. Conclusions Genetic liability to HDPs is associated with higher CVD risk, lower blood pressure levels, and earlier hypertension diagnosis. Our study suggests similar findings in ever pregnant women, nulligravidae and men, implying biological mechanisms relating to HDPs are causally related to CVD risk.
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Affiliation(s)
- Lena Tschiderer
- Institute of Health Economics, Medical University of Innsbruck, Innsbruck, Austria
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Yvonne T van der Schouw
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Stephen Burgess
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- Heart and Lung Research Institute, University of Cambridge, Cambridge, United Kingdom
- MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Kitty WM Bloemenkamp
- Department of Obstetrics, Division Women and Baby, Birth Centre Wilhelmina Children Hospital, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Lisa Seekircher
- Institute of Health Economics, Medical University of Innsbruck, Innsbruck, Austria
| | - Peter Willeit
- Institute of Health Economics, Medical University of Innsbruck, Innsbruck, Austria
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - N Charlotte Onland-Moret
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Sanne AE Peters
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, the Netherlands
- The George Institute for Global Health, School of Public Health, Imperial College London, London, United Kingdom
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
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13
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Chung HF, Dobson AJ, Hayashi K, Hardy R, Kuh D, Anderson DJ, van der Schouw YT, Greenwood DC, Cade JE, Demakakos P, Brunner EJ, Eastwood SV, Sandin S, Weiderpass E, Mishra GD. Ethnic Differences in the Association Between Age at Natural Menopause and Risk of Type 2 Diabetes Among Postmenopausal Women: A Pooled Analysis of Individual Data From 13 Cohort Studies. Diabetes Care 2023; 46:2024-2034. [PMID: 37747341 PMCID: PMC10696407 DOI: 10.2337/dc23-1209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 08/19/2023] [Indexed: 09/26/2023]
Abstract
OBJECTIVE To investigate associations between age at natural menopause, particularly premature ovarian insufficiency (POI) (natural menopause before age 40 years), and incident type 2 diabetes (T2D) and identify any variations by ethnicity. RESEARCH DESIGN AND METHODS We pooled individual-level data of 338,059 women from 13 cohort studies without T2D before menopause from six ethnic groups: White (n = 177,674), Chinese (n = 146,008), Japanese (n = 9,061), South/Southeast Asian (n = 2,228), Black (n = 1,838), and mixed/other (n = 1,250). Hazard ratios (HRs) of T2D associated with age at menopause were estimated in the overall sample and by ethnicity, with study as a random effect. For each ethnic group, we further stratified the association by birth year, education level, and BMI. RESULTS Over 9 years of follow-up, 20,064 (5.9%) women developed T2D. Overall, POI (vs. menopause at age 50-51 years) was associated with an increased risk of T2D (HR 1.31; 95% CI 1.20-1.44), and there was an interaction between age at menopause and ethnicity (P < 0.0001). T2D risk associated with POI was higher in White (1.53; 1.36-1.73), Japanese (4.04; 1.97-8.27), and Chinese women born in 1950 or later (2.79; 2.11-3.70); although less precise, the risk estimates were consistent in women of South/Southeast Asian (1.46; 0.89-2.40), Black (1.72; 0.95-3.12), and mixed/other (2.16; 0.83-5.57) ethnic groups. A similar pattern, but with a smaller increased risk of T2D, was observed with early menopause overall (1.16; 1.10-1.23) and for White, Japanese, and Chinese women born in 1950 or later. CONCLUSIONS POI and early menopause are risk factors for T2D in postmenopausal women, with considerable variation across ethnic groups, and may need to be considered in risk assessments of T2D among women.
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Affiliation(s)
- Hsin-Fang Chung
- School of Public Health, University of Queensland, Brisbane, Queensland, Australia
| | - Annette J. Dobson
- School of Public Health, University of Queensland, Brisbane, Queensland, Australia
| | - Kunihiko Hayashi
- School of Health Sciences, Gunma University, Maebashi City, Gunma, Japan
| | - Rebecca Hardy
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, U.K
| | - Diana Kuh
- Medical Research Council Unit for Lifelong Health and Ageing, University College London, London, U.K
| | - Debra J. Anderson
- Faculty of Health, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Darren C. Greenwood
- Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, U.K
| | - Janet E. Cade
- Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, U.K
| | - Panayotes Demakakos
- Department of Epidemiology and Public Health, University College London, London, U.K
| | - Eric J. Brunner
- Department of Epidemiology and Public Health, University College London, London, U.K
| | - Sophie V. Eastwood
- Medical Research Council Unit for Lifelong Health and Ageing, University College London, London, U.K
| | - Sven Sandin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Gita D. Mishra
- School of Public Health, University of Queensland, Brisbane, Queensland, Australia
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14
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Hageman SHJ, Petitjean C, Pennells L, Kaptoge S, Pajouheshnia R, Tillmann T, Blaha MJ, McClelland RL, Matsushita K, Nambi V, Klungel OH, Souverein PC, van der Schouw YT, Verschuren WMM, Lehmann N, Erbel R, Jöckel KH, Di Angelantonio E, Visseren FLJ, Dorresteijn JAN. Improving 10-year cardiovascular risk prediction in apparently healthy people: flexible addition of risk modifiers on top of SCORE2. Eur J Prev Cardiol 2023; 30:1705-1714. [PMID: 37264679 PMCID: PMC10600319 DOI: 10.1093/eurjpc/zwad187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 05/24/2023] [Accepted: 05/30/2023] [Indexed: 06/03/2023]
Abstract
AIMS In clinical practice, factors associated with cardiovascular disease (CVD) like albuminuria, education level, or coronary artery calcium (CAC) are often known, but not incorporated in cardiovascular risk prediction models. The aims of the current study were to evaluate a methodology for the flexible addition of risk modifying characteristics on top of SCORE2 and to quantify the added value of several clinically relevant risk modifying characteristics. METHODS AND RESULTS Individuals without previous CVD or DM were included from the UK Biobank; Atherosclerosis Risk in Communities (ARIC); Multi-Ethnic Study of Atherosclerosis (MESA); European Prospective Investigation into Cancer, The Netherlands (EPIC-NL); and Heinz Nixdorf Recall (HNR) studies (n = 409 757) in whom 16 166 CVD events and 19 149 non-cardiovascular deaths were observed over exactly 10.0 years of follow-up. The effect of each possible risk modifying characteristic was derived using competing risk-adjusted Fine and Gray models. The risk modifying characteristics were applied to individual predictions with a flexible method using the population prevalence and the subdistribution hazard ratio (SHR) of the relevant predictor. Risk modifying characteristics that increased discrimination most were CAC percentile with 0.0198 [95% confidence interval (CI) 0.0115; 0.0281] and hs-Troponin-T with 0.0100 (95% CI 0.0063; 0.0137). External validation was performed in the Clinical Practice Research Datalink (CPRD) cohort (UK, n = 518 015, 12 675 CVD events). Adjustment of SCORE2-predicted risks with both single and multiple risk modifiers did not negatively affect calibration and led to a modest increase in discrimination [0.740 (95% CI 0.736-0.745) vs. unimproved SCORE2 risk C-index 0.737 (95% CI 0.732-0.741)]. CONCLUSION The current paper presents a method on how to integrate possible risk modifying characteristics that are not included in existing CVD risk models for the prediction of CVD event risk in apparently healthy people. This flexible methodology improves the accuracy of predicted risks and increases applicability of prediction models for individuals with additional risk known modifiers.
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Affiliation(s)
- Steven H J Hageman
- Department of Vascular Medicine, University Medical Center Utrecht, PO Box 85500, 3508 GA, Utrecht, The Netherlands
| | - Carmen Petitjean
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
| | - Lisa Pennells
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
| | - Stephen Kaptoge
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
| | - Romin Pajouheshnia
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Utrecht, The Netherlands
| | - Taavi Tillmann
- Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia
| | - Michael J Blaha
- Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins Hospital, Baltimore, USA
| | | | - Kunihiro Matsushita
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
| | - Vijay Nambi
- Center for Cardiovascular Disease Prevention, Michael E DeBakey Veterans Affairs Hospital, Houston, USA
- Department of Medicine, Baylor College of Medicine, Houston, USA
| | - Olaf H Klungel
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Utrecht, The Netherlands
| | - Patrick C Souverein
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Utrecht, The Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - W M Monique Verschuren
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Nils Lehmann
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Raimund Erbel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Emanuele Di Angelantonio
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
- National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- Health Data Science Research Centre, Human Technopole, Milan, Italy
| | - Frank L J Visseren
- Department of Vascular Medicine, University Medical Center Utrecht, PO Box 85500, 3508 GA, Utrecht, The Netherlands
| | - Jannick A N Dorresteijn
- Department of Vascular Medicine, University Medical Center Utrecht, PO Box 85500, 3508 GA, Utrecht, The Netherlands
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15
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Hudson J, Cruickshank M, Quinton R, Aucott L, Wu F, Grossmann M, Bhasin S, Snyder PJ, Ellenberg SS, Travison TG, Brock GB, Gianatti EJ, van der Schouw YT, Emmelot-Vonk MH, Giltay EJ, Hackett G, Ramachandran S, Svartberg J, Hildreth KL, Antonic KG, Tenover JL, Tan HM, Ho Chee Kong C, Tan WS, Marks LS, Ross RJ, Schwartz RS, Manson P, Roberts SA, Skovsager Andersen M, Velling Magnussen L, Aceves-Martins M, Gillies K, Hernández R, Oliver N, Dhillo WS, Bhattacharya S, Brazzelli M, Jayasena CN. Symptomatic benefits of testosterone treatment in patient subgroups: a systematic review, individual participant data meta-analysis, and aggregate data meta-analysis. Lancet Healthy Longev 2023; 4:e561-e572. [PMID: 37804846 DOI: 10.1016/s2666-7568(23)00169-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 08/08/2023] [Accepted: 08/10/2023] [Indexed: 10/09/2023] Open
Abstract
BACKGROUND Testosterone replacement therapy is known to improve sexual function in men younger than 40 years with pathological hypogonadism. However, the extent to which testosterone alleviates sexual dysfunction in older men and men with obesity is unclear, despite the fact that testosterone is being increasingly prescribed to these patient populations. We aimed to evaluate whether subgroups of men with low testosterone derive any symptomatic benefit from testosterone treatment. METHODS We did a systematic review and meta-analysis to evaluate characteristics associated with symptomatic benefit of testosterone treatment versus placebo in men aged 18 years and older with a baseline serum total testosterone concentration of less than 12 nmol/L. We searched major electronic databases (MEDLINE, Embase, Science Citation Index, and the Cochrane Central Register of Controlled Trials) and clinical trial registries for reports published in English between Jan 1, 1992, and Aug 27, 2018. Anonymised individual participant data were requested from the investigators of all identified trials. Primary (cardiovascular) outcomes from this analysis have been published previously. In this report, we present the secondary outcomes of sexual function, quality of life, and psychological outcomes at 12 months. We did a one-stage individual participant data meta-analysis with a random-effects linear regression model, and a two-stage meta-analysis integrating individual participant data with aggregated data from studies that did not provide individual participant data. This study is registered with PROSPERO, CRD42018111005. FINDINGS 9871 citations were identified through database searches. After exclusion of duplicates and publications not meeting inclusion criteria, 225 full texts were assessed for inclusion, of which 109 publications reporting 35 primary studies (with a total 5601 participants) were included. Of these, 17 trials provided individual participant data (3431 participants; median age 67 years [IQR 60-72]; 3281 [97%] of 3380 aged ≥40 years) Compared with placebo, testosterone treatment increased 15-item International Index of Erectile Function (IIEF-15) total score (mean difference 5·52 [95% CI 3·95-7·10]; τ2=1·17; n=1412) and IIEF-15 erectile function subscore (2·14 [1·40-2·89]; τ2=0·64; n=1436), reaching the minimal clinically important difference for mild erectile dysfunction. These effects were not found to be dependent on participant age, obesity, presence of diabetes, or baseline serum total testosterone. However, absolute IIEF-15 scores reached during testosterone treatment were subject to thresholds in patient age and baseline serum total testosterone. Testosterone significantly improved Aging Males' Symptoms score, and some 12-item or 36-item Short Form Survey quality of life subscores compared with placebo, but it did not significantly improve psychological symptoms (measured by Beck Depression Inventory). INTERPRETATION In men aged 40 years or older with baseline serum testosterone of less than 12 nmol/L, short-to-medium-term testosterone treatment could provide clinically meaningful treatment for mild erectile dysfunction, irrespective of patient age, obesity, or degree of low testosterone. However, due to more severe baseline symptoms, the absolute level of sexual function reached during testosterone treatment might be lower in older men and men with obesity. FUNDING National Institute for Health and Care Research Health Technology Assessment Programme.
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Affiliation(s)
- Jemma Hudson
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | | | - Richard Quinton
- Translational & Clinical Research Institute, University of Newcastle, Newcastle upon Tyne, UK
| | - Lorna Aucott
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Frederick Wu
- Division of Diabetes, Endocrinology & Gastroenterology, University of Manchester, Manchester, UK
| | - Mathis Grossmann
- University of Melbourne Austin Health, Heidelberg, VIC, Australia
| | | | - Peter J Snyder
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Susan S Ellenberg
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Gerald B Brock
- Department of Surgery, Western University and Omega Fertility Center, London, ON, Canada
| | - Emily J Gianatti
- Department of Endocrinology, Fiona Stanley Hospital, Murdoch, WA, Australia
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Marielle H Emmelot-Vonk
- Department of Geriatrics, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Erik J Giltay
- Department of Psychiatry, Leiden University Medical Centre, Leiden, Netherlands
| | - Geoff Hackett
- School of Health and Life Sciences, Aston University, Birmingham, UK
| | | | - Johan Svartberg
- Division of Internal Medicine, Section of Endocrinology, University Hospital of North Norway, Tromsø, Norway; Tromsø Endocrine Research Group, Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Kerry L Hildreth
- Division of Geriatric Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Kristina Groti Antonic
- Department of Endocrinology, University Medical Centre, Ljubljana, Slovenia; Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Joyce Lisa Tenover
- Geriatric Medicine, VA Palo Alto Health Care System, Palo Alto, CA, USA; School of Medicine, Stanford University, Stanford, CA, USA
| | - Hui Meng Tan
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Wei Shen Tan
- MD Anderson Cancer Center, University of Texas, Houston, TX, USA
| | - Leonard S Marks
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Richard J Ross
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Robert S Schwartz
- Division of Geriatric Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Paul Manson
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | | | | | | | | | - Katie Gillies
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Rodolfo Hernández
- Health Economics Research Unit, University of Aberdeen, Aberdeen, UK
| | - Nick Oliver
- Faculty of Medicine, Imperial College London, London, UK
| | | | - Siladitya Bhattacharya
- School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK
| | - Miriam Brazzelli
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
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16
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Tschiderer L, Peters SAE, van der Schouw YT, van Westing AC, Tong TYN, Willeit P, Seekircher L, Moreno‐Iribas C, Huerta JM, Crous‐Bou M, Söderholm M, Schulze MB, Johansson C, Själander S, Heath AK, Macciotta A, Dahm CC, Ibsen DB, Pala V, Mellemkjær L, Burgess S, Wood A, Kaaks R, Katzke V, Amiano P, Rodriguez‐Barranco M, Engström G, Weiderpass E, Tjønneland A, Halkjær J, Panico S, Danesh J, Butterworth A, Onland‐Moret NC. Age at Menopause and the Risk of Stroke: Observational and Mendelian Randomization Analysis in 204 244 Postmenopausal Women. J Am Heart Assoc 2023; 12:e030280. [PMID: 37681566 PMCID: PMC10547274 DOI: 10.1161/jaha.123.030280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 08/08/2023] [Indexed: 09/09/2023]
Abstract
Background Observational studies have shown that women with an early menopause are at higher risk of stroke compared with women with a later menopause. However, associations with stroke subtypes are inconsistent, and the causality is unclear. Methods and Results We analyzed data of the UK Biobank and EPIC-CVD (European Prospective Investigation Into Cancer and Nutrition-Cardiovascular Diseases) study. A total of 204 244 postmenopausal women without a history of stroke at baseline were included (7883 from EPIC-CVD [5292 from the subcohort], 196 361 from the UK Biobank). Pooled mean baseline age was 58.9 years (SD, 5.8), and pooled mean age at menopause was 47.8 years (SD, 6.2). Over a median follow-up of 12.6 years (interquartile range, 11.8-13.3), 6770 women experienced a stroke (5155 ischemic strokes, 1615 hemorrhagic strokes, 976 intracerebral hemorrhages, and 639 subarachnoid hemorrhages). In multivariable adjusted observational Cox regression analyses, the pooled hazard ratios per 5 years younger age at menopause were 1.09 (95% CI, 1.07-1.12) for stroke, 1.09 (95% CI, 1.06-1.13) for ischemic stroke, 1.10 (95% CI, 1.04-1.16) for hemorrhagic stroke, 1.14 (95% CI, 1.08-1.20) for intracerebral hemorrhage, and 1.00 (95% CI, 0.84-1.20) for subarachnoid hemorrhage. When using 2-sample Mendelian randomization analysis, we found no statistically significant association between genetically proxied age at menopause and risk of any type of stroke. Conclusions In our study, earlier age at menopause was related to a higher risk of stroke. We found no statistically significant association between genetically proxied age at menopause and risk of stroke, suggesting no causal relationship.
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Affiliation(s)
- Lena Tschiderer
- Julius Center for Health Sciences and Primary CareUniversity Medical Center UtrechtUtrechtthe Netherlands
- Institute of Health EconomicsMedical University of InnsbruckInnsbruckAustria
| | - Sanne A. E. Peters
- Julius Center for Health Sciences and Primary CareUniversity Medical Center UtrechtUtrechtthe Netherlands
- The George Institute for Global Health, School of Public HealthImperial College LondonLondonUnited Kingdom
- The George Institute for Global HealthUniversity of New South WalesSydneyNew South WalesAustralia
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary CareUniversity Medical Center UtrechtUtrechtthe Netherlands
| | - Anniek C. van Westing
- Julius Center for Health Sciences and Primary CareUniversity Medical Center UtrechtUtrechtthe Netherlands
- Division of Human Nutrition and HealthWageningen UniversityWageningenthe Netherlands
| | - Tammy Y. N. Tong
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUnited Kingdom
| | - Peter Willeit
- Institute of Health EconomicsMedical University of InnsbruckInnsbruckAustria
- Department of Public Health and Primary CareUniversity of CambridgeCambridgeUnited Kingdom
| | - Lisa Seekircher
- Institute of Health EconomicsMedical University of InnsbruckInnsbruckAustria
| | - Conchi Moreno‐Iribas
- Instituto de Salud Pública y Laboral de NavarraPamplonaSpain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP)MadridSpain
- Navarra Institute for Health Research (IdiSNA)PamplonaSpain
| | - José María Huerta
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP)MadridSpain
- Department of EpidemiologyMurcia Regional Health Council‐IMIBMurciaSpain
| | - Marta Crous‐Bou
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO)–Bellvitge Biomedical Research Institute (IDIBELL)L’Hospitalet de LlobregatBarcelonaSpain
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMA
| | - Martin Söderholm
- Department of NeurologySkåne University Hospital, Lund and MalmöMalmöSweden
- Department of Clinical Sciences, MalmöLund UniversityMalmöSweden
| | - Matthias B. Schulze
- Department of Molecular EpidemiologyGerman Institute of Human Nutrition Potsdam‐RehbrueckeNuthetalGermany
- Institute of Nutritional ScienceUniversity of PotsdamNuthetalGermany
| | - Cecilia Johansson
- Skellefteå Research Unit, Department of Public Health and Clinical MedicineUmeå UniversityUmeåVästerbottenSweden
| | - Sara Själander
- Department of Public Health and Clinical MedicineUmeå UniversityUmeåSweden
| | - Alicia K. Heath
- Department of Epidemiology and Biostatistics, School of Public HealthImperial College LondonLondonUnited Kingdom
| | - Alessandra Macciotta
- Centre for Biostatistics, Epidemiology, and Public Health (C‐BEPH), Department of Clinical and Biological SciencesUniversity of TurinTurinItaly
| | | | - Daniel B. Ibsen
- Department of Public HealthAarhus UniversityAarhusDenmark
- Steno Diabetes Center AarhusAarhusDenmark
- MRC Epidemiology UnitUniversity of Cambridge School of Clinical MedicineCambridgeUnited Kingdom
- Department of Nutrition, Exercise and SportsUniversity of CopenhagenFrederiksbergDenmark
| | - Valeria Pala
- Epidemiology and Prevention UnitFondazione IRCCS Istituto Nazionale dei TumoriMilanItaly
| | | | - Stephen Burgess
- Department of Public Health and Primary CareUniversity of CambridgeCambridgeUnited Kingdom
- Heart and Lung Research InstituteUniversity of CambridgeCambridgeUnited Kingdom
- MRC Biostatistics Unit, School of Clinical MedicineUniversity of CambridgeCambridgeUnited Kingdom
| | - Angela Wood
- Department of Public Health and Primary CareUniversity of CambridgeCambridgeUnited Kingdom
| | - Rudolf Kaaks
- Division of Cancer EpidemiologyGerman Cancer Research Center, DKFZHeidelbergGermany
| | - Verena Katzke
- Division of Cancer EpidemiologyGerman Cancer Research Center, DKFZHeidelbergGermany
| | - Pilar Amiano
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP)MadridSpain
- Ministry of Health of the Basque GovernmentSub Directorate for Public Health and Addictions of GipuzkoaSan SebastianSpain
- Biodonostia Health Research InstituteEpidemiology of Chronic and Communicable Diseases GroupSan SebastianSpain
| | - Miguel Rodriguez‐Barranco
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP)MadridSpain
- Escuela Andaluza de Salud Pública (EASP)GranadaSpain
- Instituto de Investigación Biosanitaria ibs.GRANADAGranadaSpain
| | - Gunnar Engström
- Department of Clinical Sciences, MalmöLund UniversityMalmöSweden
| | | | - Anne Tjønneland
- Danish Cancer Society Research CenterCopenhagenDenmark
- Department of Public Health, Section of Environmental Health, Faculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark
| | - Jytte Halkjær
- Danish Cancer Society Research CenterCopenhagenDenmark
| | | | - John Danesh
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary CareUniversity of CambridgeCambridgeUnited Kingdom
- National Institute for Health and Care Research Cambridge Biomedical Research CentreCambridge University HospitalsCambridgeUnited Kingdom
- The National Institute for Health and Care Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and GenomicsUniversity of CambridgeCambridgeUnited Kingdom
- Human GeneticsWellcome Sanger InstituteSaffron WaldenUnited Kingdom
- Health Data Research UK CambridgeWellcome Genome Campus and University of CambridgeCambridgeUnited Kingdom
- British Heart Foundation Centre of Research Excellence, Division of Cardiovascular MedicineAddenbrooke’s HospitalCambridgeUnited Kingdom
| | - Adam Butterworth
- Department of Public Health and Primary CareUniversity of CambridgeCambridgeUnited Kingdom
- Heart and Lung Research InstituteUniversity of CambridgeCambridgeUnited Kingdom
- Health Data Research UK CambridgeWellcome Genome Campus and University of CambridgeCambridgeUnited Kingdom
- NIHR Blood and Transplant Research Unit in Donor Health and BehaviourUniversity of CambridgeCambridgeUnited Kingdom
- BHF Centre of Research Excellence, School of Clinical MedicineAddenbrooke’s HospitalCambridgeUnited Kingdom
| | - N. Charlotte Onland‐Moret
- Julius Center for Health Sciences and Primary CareUniversity Medical Center UtrechtUtrechtthe Netherlands
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Huybrechts I, Jacobs I, Aglago EK, Yammine S, Matta M, Schmidt JA, Casagrande C, Nicolas G, Biessy C, Van Puyvelde H, Scalbert A, Derksen JWG, van der Schouw YT, Grioni S, Amiano P, Halkjær J, Tjønneland A, Huerta JM, Luján-Barroso L, Palli D, Gunter MJ, Perez-Cornago A, Chajès V. Associations between Fatty Acid Intakes and Plasma Phospholipid Fatty Acid Concentrations in the European Prospective Investigation into Cancer and Nutrition. Nutrients 2023; 15:3695. [PMID: 37686727 PMCID: PMC10489906 DOI: 10.3390/nu15173695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 08/04/2023] [Accepted: 08/17/2023] [Indexed: 09/10/2023] Open
Abstract
BACKGROUND The aim of this study is to determine the correlations between dietary fatty acid (FA) intakes and plasma phospholipid (PL) FA levels in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. METHODS The dietary intake of 60 individual FAs was estimated using centre-specific validated dietary questionnaires. Plasma PL FA concentrations of these FAs were measured in non-fasting venous plasma samples in nested case-control studies within the EPIC cohort (n = 4923, using only non-cases). Spearman rank correlations were calculated to determine associations between FA intakes and plasma PL FA levels. RESULTS Correlations between FA intakes and circulating levels were low to moderately high (-0.233 and 0.554). Moderate positive correlations were found for total long-chain n-3 poly-unsaturated FA (PUFA) (r = 0.354) with the highest (r = 0.406) for n-3 PUFA docosahexaenoic acid (DHA). Moderate positive correlations were also found for the non-endogenously synthesized trans-FA (r = 0.461 for total trans-FA C16-18; r = 0.479 for industrial trans-FA (elaidic acid)). CONCLUSIONS Our findings indicate that dietary FA intakes might influence the plasma PL FA status to a certain extent for several specific FAs. The stronger positive correlations for health-enhancing long-chain PUFAs and the health-deteriorating trans-FA that are not endogenously produced are valuable for future cancer prevention public health interventions.
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Affiliation(s)
- Inge Huybrechts
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, CEDEX 07, 69366 Lyon, France; (I.J.); (E.K.A.); (S.Y.); (M.M.); (C.C.); (G.N.); (C.B.); (H.V.P.); (A.S.); (M.J.G.); (V.C.)
| | - Inarie Jacobs
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, CEDEX 07, 69366 Lyon, France; (I.J.); (E.K.A.); (S.Y.); (M.M.); (C.C.); (G.N.); (C.B.); (H.V.P.); (A.S.); (M.J.G.); (V.C.)
| | - Elom K. Aglago
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, CEDEX 07, 69366 Lyon, France; (I.J.); (E.K.A.); (S.Y.); (M.M.); (C.C.); (G.N.); (C.B.); (H.V.P.); (A.S.); (M.J.G.); (V.C.)
| | - Sahar Yammine
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, CEDEX 07, 69366 Lyon, France; (I.J.); (E.K.A.); (S.Y.); (M.M.); (C.C.); (G.N.); (C.B.); (H.V.P.); (A.S.); (M.J.G.); (V.C.)
| | - Michèle Matta
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, CEDEX 07, 69366 Lyon, France; (I.J.); (E.K.A.); (S.Y.); (M.M.); (C.C.); (G.N.); (C.B.); (H.V.P.); (A.S.); (M.J.G.); (V.C.)
| | - Julie A. Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK; (J.A.S.); (A.P.-C.)
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University Hospital, Aarhus University, 8200 Aarhus, Denmark
| | - Corinne Casagrande
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, CEDEX 07, 69366 Lyon, France; (I.J.); (E.K.A.); (S.Y.); (M.M.); (C.C.); (G.N.); (C.B.); (H.V.P.); (A.S.); (M.J.G.); (V.C.)
| | - Geneviève Nicolas
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, CEDEX 07, 69366 Lyon, France; (I.J.); (E.K.A.); (S.Y.); (M.M.); (C.C.); (G.N.); (C.B.); (H.V.P.); (A.S.); (M.J.G.); (V.C.)
| | - Carine Biessy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, CEDEX 07, 69366 Lyon, France; (I.J.); (E.K.A.); (S.Y.); (M.M.); (C.C.); (G.N.); (C.B.); (H.V.P.); (A.S.); (M.J.G.); (V.C.)
| | - Heleen Van Puyvelde
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, CEDEX 07, 69366 Lyon, France; (I.J.); (E.K.A.); (S.Y.); (M.M.); (C.C.); (G.N.); (C.B.); (H.V.P.); (A.S.); (M.J.G.); (V.C.)
| | - Augustin Scalbert
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, CEDEX 07, 69366 Lyon, France; (I.J.); (E.K.A.); (S.Y.); (M.M.); (C.C.); (G.N.); (C.B.); (H.V.P.); (A.S.); (M.J.G.); (V.C.)
| | - Jeroen W. G. Derksen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, 3584 EA Utrecht, The Netherlands; (J.W.G.D.); (Y.T.v.d.S.)
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, 3584 EA Utrecht, The Netherlands; (J.W.G.D.); (Y.T.v.d.S.)
| | - Sara Grioni
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, 20133 Milano, Italy;
| | - Pilar Amiano
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, 20014 San Sebastian, Spain;
- Epidemiology of Chronic and Communicable Diseases Group, Biodonostia Health Research Institute, 20014 San Sebastián, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain;
| | - Jytte Halkjær
- Department of Diet, Genes and Environment, Danish Cancer Society Research Center, University of Copenhagen, Strandboulevarden 49, 2100 Copenhagen, Denmark; (J.H.); (A.T.)
| | - Anne Tjønneland
- Department of Diet, Genes and Environment, Danish Cancer Society Research Center, University of Copenhagen, Strandboulevarden 49, 2100 Copenhagen, Denmark; (J.H.); (A.T.)
| | - José M. Huerta
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain;
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, 30005 Murcia, Spain
| | - Leila Luján-Barroso
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology—IDIBELL, 08908 L’Hospitalet de Llobregat, Spain;
- Nutrition and Cancer Group, Epidemiology, Public Health, Cancer Prevention and Palliative Care Program, Bellvitge Biomedical Research Institute—IDIBELL, L’Hospitalet de Llobregat, Av. Granvia 199-203, 08908 L’Hospitalet de Llobregat, Spain
| | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), 50139 Florence, Italy;
| | - Marc J. Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, CEDEX 07, 69366 Lyon, France; (I.J.); (E.K.A.); (S.Y.); (M.M.); (C.C.); (G.N.); (C.B.); (H.V.P.); (A.S.); (M.J.G.); (V.C.)
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK; (J.A.S.); (A.P.-C.)
| | - Véronique Chajès
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, CEDEX 07, 69366 Lyon, France; (I.J.); (E.K.A.); (S.Y.); (M.M.); (C.C.); (G.N.); (C.B.); (H.V.P.); (A.S.); (M.J.G.); (V.C.)
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Lampousi AM, Carlsson S, Löfvenborg JE, Cabrera-Castro N, Chirlaque MD, Fagherazzi G, Franks PW, Hampe CS, Jakszyn P, Koulman A, Kyrø C, Moreno-Iribas C, Nilsson PM, Panico S, Papier K, van der Schouw YT, Schulze MB, Weiderpass E, Zamora-Ros R, Forouhi NG, Sharp SJ, Rolandsson O, Wareham NJ. Interaction between plasma phospholipid odd-chain fatty acids and GAD65 autoantibodies on the incidence of adult-onset diabetes: the EPIC-InterAct case-cohort study. Diabetologia 2023; 66:1460-1471. [PMID: 37301794 PMCID: PMC10317878 DOI: 10.1007/s00125-023-05948-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 04/25/2023] [Indexed: 06/12/2023]
Abstract
AIMS/HYPOTHESIS Islet autoimmunity may progress to adult-onset diabetes. We investigated whether circulating odd-chain fatty acids (OCFA) 15:0 and 17:0, which are inversely associated with type 2 diabetes, interact with autoantibodies against GAD65 (GAD65Ab) on the incidence of adult-onset diabetes. METHODS We used the European EPIC-InterAct case-cohort study including 11,124 incident adult-onset diabetes cases and a subcohort of 14,866 randomly selected individuals. Adjusted Prentice-weighted Cox regression estimated HRs and 95% CIs of diabetes in relation to 1 SD lower plasma phospholipid 15:0 and/or 17:0 concentrations or their main contributor, dairy intake, among GAD65Ab-negative and -positive individuals. Interactions between tertiles of OCFA and GAD65Ab status were estimated by proportion attributable to interaction (AP). RESULTS Low concentrations of OCFA, particularly 17:0, were associated with a higher incidence of adult-onset diabetes in both GAD65Ab-negative (HR 1.55 [95% CI 1.48, 1.64]) and GAD65Ab-positive (HR 1.69 [95% CI 1.34, 2.13]) individuals. The combination of low 17:0 and high GAD65Ab positivity vs high 17:0 and GAD65Ab negativity conferred an HR of 7.51 (95% CI 4.83, 11.69), with evidence of additive interaction (AP 0.25 [95% CI 0.05, 0.45]). Low dairy intake was not associated with diabetes incidence in either GAD65Ab-negative (HR 0.98 [95% CI 0.94, 1.02]) or GAD65Ab-positive individuals (HR 0.97 [95% CI 0.79, 1.18]). CONCLUSIONS/INTERPRETATION Low plasma phospholipid 17:0 concentrations may promote the progression from GAD65Ab positivity to adult-onset diabetes.
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Affiliation(s)
- Anna-Maria Lampousi
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
| | - Sofia Carlsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Josefin E Löfvenborg
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Risk and Benefit Assessment, Swedish Food Agency, Uppsala, Sweden
| | | | - María-Dolores Chirlaque
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Health and Social Sciences, Murcia University, Murcia, Spain
| | - Guy Fagherazzi
- Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Paul W Franks
- Department of Clinical Sciences, Clinical Research Center, Skåne University Hospital, Lund University, Malmö, Sweden
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | - Christiane S Hampe
- Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA
| | - Paula Jakszyn
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
- Blanquerna School of Health Sciences, Ramon Llull University, Barcelona, Spain
| | - Albert Koulman
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
- National Institute for Health Research Biomedical Research Centre Core Nutritional Biomarker Laboratory, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Cecilie Kyrø
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Conchi Moreno-Iribas
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Peter M Nilsson
- Department of Clinical Sciences, Clinical Research Center, Skåne University Hospital, Lund University, Malmö, Sweden
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Raul Zamora-Ros
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
| | - Nita G Forouhi
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Stephen J Sharp
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Olov Rolandsson
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | - Nicholas J Wareham
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
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19
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Bonekamp NE, Cruijsen E, Visseren FL, van der Schouw YT, Geleijnse JM, Koopal C. Compliance with the DASH diet and risk of all-cause and cardiovascular mortality in patients with myocardial infarction. Clin Nutr 2023; 42:1418-1426. [PMID: 37433229 DOI: 10.1016/j.clnu.2023.06.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 06/22/2023] [Accepted: 06/30/2023] [Indexed: 07/13/2023]
Abstract
BACKGROUND & AIMS The Dietary Approaches to Stop Hypertension (DASH) diet has been shown to effectively reduce blood pressure and body weight, but its effectiveness for reducing (cardiovascular) mortality rates has never been assessed in a clinical trial. Causal effects of dietary interventions are difficult to measure, due to practical limitations of randomized controlled diet trials. Target trial emulation can be used to improve causal inference in observational data. The aim of this study was to emulate a target trial assessing the relationship between compliance with the DASH diet and cardiovascular and all-cause mortality risk in patients with established CVD. METHODS Using data from the Alpha Omega Cohort, we emulated a DASH diet trial in patients with a history of myocardial infarction (MI). Inverse probability of treatment weighting (IPTW) was used to balance confounders over DASH-compliant and non-DASH-compliant participants. Hazard ratios (HRs) were estimated with IPT-weighted Cox models. RESULTS Of 4365 patients (79% male, median age 69 years, >80% treated with lipid- and blood pressure-lowering medication), 598 were classified as DASH-compliant (compliance score ≥5 out of 9). During a median follow-up of 12.4 years, 2035 deaths occurred of which 903 (44%) were of cardiovascular origin. DASH compliance was not associated with all-cause mortality (HR 0.92, 95%CI 0.0.80-1.06) and cardiovascular mortality (HR 0.90, 95%CI 0.72-1.11). CONCLUSIONS In an emulated target trial on the DASH diet in the Alpha Omega cohort no relation was found between DASH compliance and risk of all-cause and cardiovascular mortality in patients with a history of MI. The DASH diet's effects may have been modified in this population by concomitant use of blood pressure-lowering medications.
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Affiliation(s)
- Nadia E Bonekamp
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Esther Cruijsen
- Division of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands
| | - Frank Lj Visseren
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Johanna M Geleijnse
- Division of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands
| | - Charlotte Koopal
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
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Liang C, Chung HF, Dobson AJ, Cade JE, Greenwood DC, Hayashi K, Hardy R, Kuh D, Schouw YTVD, Sandin S, Weiderpass E, Mishra GD. Is there a link between infertility, miscarriage, stillbirth, and premature or early menopause? Results from pooled analyses of 9 cohort studies. Am J Obstet Gynecol 2023; 229:47.e1-47.e9. [PMID: 37059411 DOI: 10.1016/j.ajog.2023.04.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 03/14/2023] [Accepted: 04/02/2023] [Indexed: 04/16/2023]
Abstract
BACKGROUND Some reproductive factors (such as age at menarche and parity) have been shown to be associated with age at natural menopause, but there has been little quantitative analysis of the association between infertility, miscarriage, stillbirth, and premature (<40 years) or early menopause (40-44 years). In addition, it has been unknown whether the association differs between Asian and non-Asian women, although the age at natural menopause is younger among Asian women. OBJECTIVE This study aimed to investigate the association of infertility, miscarriage, and stillbirth with age at natural menopause, and whether the association differed by race (Asian and non-Asian). STUDY DESIGN This was a pooled individual participant data analysis from 9 observational studies contributing to the InterLACE consortium. Naturally postmenopausal women with data on at least 1 of the reproductive factors (ie, infertility, miscarriage, and stillbirth), age at menopause, and confounders (ie, race, education level, age at menarche, body mass index, and smoking status) were included. A multinomial logistic regression model was used to estimate relative risk ratios and 95% confidence intervals for the association of infertility, miscarriage, and stillbirth with premature or early menopause, adjusting for confounders. Between-study difference and within-study correlation were taken into account by including study as a fixed effect and indicating study as a cluster variable. We also examined the association with number of miscarriages (0, 1, 2, ≥3) and stillbirths (0, 1, ≥2), and tested whether the strength of association differed between Asian and non-Asian women. RESULTS A total of 303,594 postmenopausal women were included. Their median age at natural menopause was 50.0 years (interquartile range, 47.0-52.0). The percentages of women with premature and early menopause were 2.1% and 8.4%, respectively. The relative risk ratios (95% confidence intervals) of premature and early menopause were 2.72 (1.77-4.17) and 1.42 (1.15-1.74) for women with infertility; 1.31 (1.08-1.59) and 1.37 (1.14-1.65) for women with recurrent miscarriages; and 1.54 (1.52-1.56) and 1.39 (1.35-1.43) for women with recurrent stillbirths. Asian women with infertility, recurrent miscarriages (≥3), or recurrent stillbirths (≥2) had higher risk of premature and early menopause compared with non-Asian women with the same reproductive history. CONCLUSION Histories of infertility and recurrent miscarriages and stillbirths were associated with higher risk of premature and early menopause, and the associations differed by race, with stronger associations for Asian women with such reproductive history.
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Vellinga RE, van den Boomgaard I, Boer JM, van der Schouw YT, Harbers MC, Verschuren WMM, van 't Veer P, Temme EH, Biesbroek S. Different levels of ultra-processed food and beverage consumption and associations with environmental sustainability and all-cause mortality in EPIC-NL. Am J Clin Nutr 2023:S0002-9165(23)62420-7. [PMID: 37207984 DOI: 10.1016/j.ajcnut.2023.05.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 04/11/2023] [Accepted: 05/15/2023] [Indexed: 05/21/2023] Open
Abstract
BACKGROUND The adverse health effects of high ultra-processed food and drink consumption (UPFD) are well documented. However, its environmental impact remains unclear and the separate effects of ultra-processed foods (UPF) and drinks (UPD) on all-cause mortality are not previously studied. OBJECTIVES To assess the association between levels of UPFD, UPF and UPD consumption with diet-related environmental impacts and all-cause mortality in Dutch adults. METHODS Habitual diets were assessed by FFQ in 1993-1997 among 38,261 participants of the EPIC-NL cohort. The mean follow-up time was 18.2 years (SD 4.1), 4,697 deaths occurred. FFQ-items were categorized according to the NOVA classification. Associations with quartiles of UPFD, UPF, and UPD consumption and environmental impact indicators were analyzed using general linear models and with all-cause mortality by Cox proportional hazard models. The lowest UPFD, UPF, UPD consumption quartiles were used as comparator. RESULTS The average UPFD consumption was 181 (SD 88) g per 1000 kcal. High UPF consumption was statistically significantly inversely associated with all environmental impact indicators (Q4vsQ1: -13.6% to -3.0%) whereas high UPD consumption was, except for land use, statistically significant positively associated with all environmental impact indicators (Q4vsQ1: 5.9% to 1.2%). High UPFD consumption was heterogeneously associated with environmental impacts (Q4vsQ1: 2.6% to -4.0% ). After multivariable adjustment, the highest quartiles of UPFD and UPD consumption were significantly associated with all-cause mortality (HRQ4vsQ1 1.20, 95%CI 1.10,1.30 and HRQ4vsQ1 1.19, 95%CI 1.09,1.29, respectively). UPF consumption of Q2 and Q3 were associated with a borderline significant lower risk of all-cause mortality (HRQ2vsQ1 0.93, 95% CI 0.85,1.00; HRQ3vsQ1 0.91, 95% CI 0.84,0.99), while Q4 was not statistically significant (HRQ4vsQ1 1.05, 95% CI 0.96,1.15). CONCLUSIONS Reducing UPD consumption could lower environmental impact and all-cause mortality risk, however this was not shown for UPF. When categorizing foods consumption by their degree of processing trade-offs are observed for human and planetary health aspects.
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Affiliation(s)
- Reina E Vellinga
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands; Division of Human Nutrition and Health, Wageningen University, P.O. Box 17, 6700 AA Wageningen, The Netherlands.
| | - Iris van den Boomgaard
- Division of Human Nutrition and Health, Wageningen University, P.O. Box 17, 6700 AA Wageningen, The Netherlands
| | - Jolanda Ma Boer
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Marjolein C Harbers
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - W M Monique Verschuren
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Pieter van 't Veer
- Division of Human Nutrition and Health, Wageningen University, P.O. Box 17, 6700 AA Wageningen, The Netherlands
| | - Elisabeth Hm Temme
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands; Division of Human Nutrition and Health, Wageningen University, P.O. Box 17, 6700 AA Wageningen, The Netherlands
| | - Sander Biesbroek
- Division of Human Nutrition and Health, Wageningen University, P.O. Box 17, 6700 AA Wageningen, The Netherlands
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22
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Huybrechts I, Rauber F, Nicolas G, Casagrande C, Kliemann N, Wedekind R, Biessy C, Scalbert A, Touvier M, Aleksandrova K, Jakszyn P, Skeie G, Bajracharya R, Boer JMA, Borné Y, Chajes V, Dahm CC, Dansero L, Guevara M, Heath AK, Ibsen DB, Papier K, Katzke V, Kyrø C, Masala G, Molina-Montes E, Robinson OJK, Santiuste de Pablos C, Schulze MB, Simeon V, Sonestedt E, Tjønneland A, Tumino R, van der Schouw YT, Verschuren WMM, Vozar B, Winkvist A, Gunter MJ, Monteiro CA, Millett C, Levy RB. Corrigendum: Characterization of the degree of food processing in the European Prospective Investigation into Cancer and Nutrition: application of the Nova classification and validation using selected biomarkers of food processing. Front Nutr 2023; 10:1207555. [PMID: 37260516 PMCID: PMC10227715 DOI: 10.3389/fnut.2023.1207555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 04/18/2023] [Indexed: 06/02/2023] Open
Abstract
[This corrects the article DOI: 10.3389/fnut.2022.1035580.].
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Affiliation(s)
- Inge Huybrechts
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Fernanda Rauber
- Department of Preventive Medicine, School of Medicine, University of São Paulo, São Paulo, Brazil
- Center for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil
| | - Geneviève Nicolas
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Corinne Casagrande
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Nathalie Kliemann
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Roland Wedekind
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Carine Biessy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Augustin Scalbert
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Mathilde Touvier
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University Paris Cité (CRESS), Paris, France
| | - Krasimira Aleksandrova
- Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology (BIPS), Bremen, Germany
- Human and Health Sciences, University of Bremen, Bremen, Germany
| | - Paula Jakszyn
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
- Blanquerna School of Health Sciences, Ramon Llull University, Barcelona, Spain
| | - Guri Skeie
- Department of Community Medicine, UiT the Arctic University of Norway, Tromsø, Norway
| | | | - Jolanda M. A. Boer
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Yan Borné
- Department of Clinical Sciences Malmö, Faculty of Medicine, Nutritional Epidemiology, Lund University, Lund, Sweden
| | - Veronique Chajes
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | | | - Lucia Dansero
- Department of Clinical and Biological Sciences, Centre for Biostatistics, Epidemiology, and Public Health (C-BEPH), University of Turin, Turin, Italy
| | - Marcela Guevara
- Instituto de Salud Pública de Navarra, Pamplona, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Alicia K. Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Daniel B. Ibsen
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Steno Diabetes Center Aarhus, Aarhus, Denmark
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Verena Katzke
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Cecilie Kyrø
- Danish Cancer Society Research Center, Danish Cancer Society, Copenhagen, Denmark
| | - Giovanna Masala
- Clinical Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Esther Molina-Montes
- Department of Nutrition and Food Science, Campus of Cartuja, University of Granada, Granada, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- Biomedical Research Centre, Institute of Nutrition and Food Technology (INYTA) “José Mataix”, University of Granada, Granada, Spain
| | - Oliver J. K. Robinson
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
| | - Carmen Santiuste de Pablos
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Vittorio Simeon
- Dipartimento di Salute Mentale e Fisica e Medicina Preventiva, Vanvitelli University, Naples, Italy
| | - Emily Sonestedt
- Department of Clinical Sciences Malmö, Faculty of Medicine, Nutritional Epidemiology, Lund University, Lund, Sweden
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Danish Cancer Society, Copenhagen, Denmark
| | - Rosario Tumino
- Hyblean Association for Epidemiological Research, AIRE ONLUS, Ragusa, Italy
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - W. M. Monique Verschuren
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Beatrice Vozar
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Anna Winkvist
- Sustainable Health, Department Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
- Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Marc J. Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Carlos A. Monteiro
- Center for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Christopher Millett
- Department of Preventive Medicine, School of Medicine, University of São Paulo, São Paulo, Brazil
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, United Kingdom
| | - Renata Bertazzi Levy
- Department of Preventive Medicine, School of Medicine, University of São Paulo, São Paulo, Brazil
- Center for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil
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23
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Colizzi C, Harbers MC, Vellinga RE, Verschuren WMM, Boer JMA, Biesbroek S, Temme EHM, van der Schouw YT. Adherence to the EAT-Lancet Healthy Reference Diet in Relation to Risk of Cardiovascular Events and Environmental Impact: Results From the EPIC-NL Cohort. J Am Heart Assoc 2023; 12:e026318. [PMID: 37066787 DOI: 10.1161/jaha.122.026318] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
Background The Healthy Reference Diet (HRD) was created to formulate dietary guidelines that would be healthy and sustainable. We aimed to construct a diet score measuring adherence to the HRD and to explore its association with cardiovascular events and environmental impact. Methods and Results We included 35 496 participants from the population-based EPIC-NL (European Prospective Investigation into Cancer and Nutrition-Netherlands) study. HRD scores were calculated using data from food frequency questionnaires (0-140). Data on morbidity and mortality were retrieved through linkage with national and death registries. Data on environmental impact indicators were obtained from life cycle assessments. Associations between adherence to the HRD and cardiovascular events were estimated with Cox proportional hazard models. Linear regression analysis was conducted for the adherence to the HRD and each environmental indicator. High adherence to the HRD was associated with 14%, 12%, and 11% lower risks of cardiovascular disease (hazard ratio [HR]Q4vsQ1, 0.86 [95% CI, 0.78-0.94]), coronary heart disease (HRQ4vsQ1, 0.88 [95% CI, 0.78-1.00]), and total stroke (HRQ4vsQ1, 0.89 [95% CI, 0.72-1.10]), respectively. High HRD adherence was associated with 2.4% (95% CI, -5.0 to 0.2) lower greenhouse gas emissions, 3.9% (95% CI, -5.2 to -2.6) less land use, 0.5% (95% CI, -2.6 to 1.6), less freshwater eutrophication, 3.3% (95% CI, -5.8 to -0.8), less marine eutrophication, 7.7% (95% CI, -10.8 to -4.6), less terrestrial acidification, and 32.1 % (95% CI, 28.5-35.7) higher blue water use. Conclusions High adherence to the HRD was associated with lower risk of cardiovascular disease, coronary heart disease, and modestly lower levels of most environmental indicators but a higher level of blue water use.
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Affiliation(s)
- Chiara Colizzi
- Julius Center for Health Sciences and Primary Care University Medical Center Utrecht, Utrecht University Utrecht The Netherlands
| | - Marjolein C Harbers
- Julius Center for Health Sciences and Primary Care University Medical Center Utrecht, Utrecht University Utrecht The Netherlands
| | - Reina E Vellinga
- Centre for Nutrition, Prevention and Health Services National Institute for Public Health and the Environment (RIVM) Bilthoven The Netherlands
| | - W M Monique Verschuren
- Julius Center for Health Sciences and Primary Care University Medical Center Utrecht, Utrecht University Utrecht The Netherlands
- Centre for Nutrition, Prevention and Health Services National Institute for Public Health and the Environment (RIVM) Bilthoven The Netherlands
| | - Jolanda M A Boer
- Centre for Nutrition, Prevention and Health Services National Institute for Public Health and the Environment (RIVM) Bilthoven The Netherlands
| | - Sander Biesbroek
- Department of Agrotechnology and Food Science Wageningen University & Research Wageningen The Netherlands
| | - Elisabeth H M Temme
- Centre for Nutrition, Prevention and Health Services National Institute for Public Health and the Environment (RIVM) Bilthoven The Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care University Medical Center Utrecht, Utrecht University Utrecht The Netherlands
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24
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Sobiecki JG, Imamura F, Davis CR, Sharp SJ, Koulman A, Hodgson JM, Guevara M, Schulze MB, Zheng JS, Agnoli C, Bonet C, Colorado-Yohar SM, Fagherazzi G, Franks PW, Gundersen TE, Jannasch F, Kaaks R, Katzke V, Molina-Montes E, Nilsson PM, Palli D, Panico S, Papier K, Rolandsson O, Sacerdote C, Tjønneland A, Tong TYN, van der Schouw YT, Danesh J, Butterworth AS, Riboli E, Murphy KJ, Wareham NJ, Forouhi NG. A nutritional biomarker score of the Mediterranean diet and incident type 2 diabetes: Integrated analysis of data from the MedLey randomised controlled trial and the EPIC-InterAct case-cohort study. PLoS Med 2023; 20:e1004221. [PMID: 37104291 PMCID: PMC10138823 DOI: 10.1371/journal.pmed.1004221] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 03/15/2023] [Indexed: 04/28/2023] Open
Abstract
BACKGROUND Self-reported adherence to the Mediterranean diet has been modestly inversely associated with incidence of type 2 diabetes (T2D) in cohort studies. There is uncertainty about the validity and magnitude of this association due to subjective reporting of diet. The association has not been evaluated using an objectively measured biomarker of the Mediterranean diet. METHODS AND FINDINGS We derived a biomarker score based on 5 circulating carotenoids and 24 fatty acids that discriminated between the Mediterranean or habitual diet arms of a parallel design, 6-month partial-feeding randomised controlled trial (RCT) conducted between 2013 and 2014, the MedLey trial (128 participants out of 166 randomised). We applied this biomarker score in an observational study, the European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct case-cohort study, to assess the association of the score with T2D incidence over an average of 9.7 years of follow-up since the baseline (1991 to 1998). We included 22,202 participants, of whom 9,453 were T2D cases, with relevant biomarkers from an original case-cohort of 27,779 participants sampled from a cohort of 340,234 people. As a secondary measure of the Mediterranean diet, we used a score estimated from dietary-self report. Within the trial, the biomarker score discriminated well between the 2 arms; the cross-validated C-statistic was 0.88 (95% confidence interval (CI) 0.82 to 0.94). The score was inversely associated with incident T2D in EPIC-InterAct: the hazard ratio (HR) per standard deviation of the score was 0.71 (95% CI: 0.65 to 0.77) following adjustment for sociodemographic, lifestyle and medical factors, and adiposity. In comparison, the HR per standard deviation of the self-reported Mediterranean diet was 0.90 (95% CI: 0.86 to 0.95). Assuming the score was causally associated with T2D, higher adherence to the Mediterranean diet in Western European adults by 10 percentiles of the score was estimated to reduce the incidence of T2D by 11% (95% CI: 7% to 14%). The study limitations included potential measurement error in nutritional biomarkers, unclear specificity of the biomarker score to the Mediterranean diet, and possible residual confounding. CONCLUSIONS These findings suggest that objectively assessed adherence to the Mediterranean diet is associated with lower risk of T2D and that even modestly higher adherence may have the potential to reduce the population burden of T2D meaningfully. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12613000602729 https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=363860.
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Affiliation(s)
- Jakub G. Sobiecki
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Courtney R. Davis
- Alliance for Research in Exercise, Nutrition and Activity, UniSA Clinical and Health Sciences, University of South Australia, Adelaide, Australia
| | - Stephen J. Sharp
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Albert Koulman
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Nutritional Biomarker Laboratory, National Institute for Health Research Biomedical Research Centre, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Jonathan M. Hodgson
- Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
- Medical School, University of Western Australia, Perth, Australia
| | - Marcela Guevara
- Navarra Public Health Institute, Pamplona, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Ju-Sheng Zheng
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy
| | - Catalina Bonet
- Unit of Nutrition and Cancer, Catalan Institute of Oncology—ICO, L’Hospitalet de Llobregat, Barcelona, Spain
- Nutrition and Cancer Group, Bellvitge Biomedical Research Institute—IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain
| | - Sandra M. Colorado-Yohar
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- Research Group on Demography and Health, National Faculty of Public Health, University of Antioquia, Medellín, Colombia
| | - Guy Fagherazzi
- Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Insitute of Health, Strassen, Luxembourg
- Center of Epidemiology and Population Health UMR 1018, Inserm, Paris South—Paris Saclay University, Gustave Roussy Institute, Villejuif, France
| | - Paul W. Franks
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | | | - Franziska Jannasch
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Esther Molina-Montes
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Institute of Nutrition and Food Technology (INYTA) ‘José Mataix’, Biomedical Research Centre, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- Department of Nutrition and Food Science, University of Granada, Granada, Spain
| | | | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network—ISPRO, Florence, Italy
| | - Salvatore Panico
- Department of Mental, Physical Health and Preventive Medicine, University “L. Vanvitelli”, Naples, Italy
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Olov Rolandsson
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tammy Y. N. Tong
- Department of Mental, Physical Health and Preventive Medicine, University “L. Vanvitelli”, Naples, Italy
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - John Danesh
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- British Heart Foundation Cambridge Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke’s Hospital, Cambridge, United Kingdom
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, Cambridge, United Kingdom
- Health Data Research UK Cambridge, University of Cambridge, Cambridge, United Kingdom
| | - Adam S. Butterworth
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Elio Riboli
- School of Public Health, Imperial College London, London, United Kingdom
| | - Karen J. Murphy
- Alliance for Research in Exercise, Nutrition and Activity, UniSA Clinical and Health Sciences, University of South Australia, Adelaide, Australia
| | - Nicholas J. Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Nita G. Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, United Kingdom
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Mishra A, Zhou B, Rodriguez-Martinez A, Bixby H, Singleton RK, Carrillo-Larco RM, Sheffer KE, Paciorek CJ, Bennett JE, Lhoste V, Iurilli MLC, Di Cesare M, Bentham J, Phelps NH, Sophiea MK, Stevens GA, Danaei G, Cowan MJ, Savin S, Riley LM, Gregg EW, Aekplakorn W, Ahmad NA, Baker JL, Chirita-Emandi A, Farzadfar F, Fink G, Heinen M, Ikeda N, Kengne AP, Khang YH, Laatikainen T, Laxmaiah A, Ma J, Monroy-Valle M, Mridha MK, Padez CP, Reynolds A, Sorić M, Starc G, Wirth JP, Abarca-Gómez L, Abdeen ZA, Abdrakhmanova S, Ghaffar SA, Abdul Rahim HF, Abdurrahmonova Z, Abu-Rmeileh NM, Garba JA, Acosta-Cazares B, Adam I, Adamczyk M, Adams RJ, Adu-Afarwuah S, Afsana K, Afzal S, Agbor VN, Agdeppa IA, Aghazadeh-Attari J, Aguenaou H, Aguilar-Salinas CA, Agyemang C, Ahmad MH, Ahmadi A, Ahmadi N, Ahmadi N, Ahmed I, Ahmed SH, Ahrens W, Aitmurzaeva G, Ajlouni K, Al-Hazzaa HM, Al-Lahou B, Al-Raddadi R, Al Hourani HM, Al Qaoud NM, Alarouj M, AlBuhairan F, AlDhukair S, Aldwairji MA, Alexius S, Ali MM, Alkandari A, Alkerwi A, Alkhatib BM, Allin K, Alvarez-Pedrerol M, Aly E, Amarapurkar DN, Etxezarreta PA, Amoah J, Amougou N, Amouyel P, Andersen LB, Anderssen SA, Androutsos O, Ängquist L, Anjana RM, Ansari-Moghaddam A, Anufrieva E, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arku RE, Arlappa N, Aryal KK, Aseffa N, Aspelund T, Assah FK, Assembekov B, Assunção MCF, Aung MS, Auvinen J, Avdičová M, Avi S, Azevedo A, Azimi-Nezhad M, Azizi F, Azmin M, Babu BV, Jørgensen MB, Baharudin A, Bahijri S, Bakacs M, Balakrishna N, Balanova Y, Bamoshmoosh M, Banach M, Banegas JR, Baran J, Baran R, Barbagallo CM, Filho VB, Barceló A, Baretić M, Barkat A, Barnoya J, Barrera L, Barreto M, Barros AJD, Barros MVG, Bartosiewicz A, Basit A, Bastos JLD, Bata I, Batieha AM, Batista AP, Batista RL, Battakova Z, Baur LA, Bayauli PM, Beaglehole R, Bel-Serrat S, Belavendra A, Ben Romdhane H, Benedics J, Benet M, Rolandi GEB, Bere E, Bergh IH, Berhane Y, Berkinbayev S, Bernabe-Ortiz A, Bernotiene G, Carrasola XB, Bettiol H, Beutel ME, Beybey AF, Bezerra J, Bhagyalaxmi A, Bharadwaj S, Bhargava SK, Bi H, Bi Y, Bia D, Biasch K, Lele ECB, Bikbov MM, Bista B, Bjelica DJ, Bjerregaard AA, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Bloch KV, Blokstra A, Magnazu MB, Bo S, Bobak M, Boddy LM, Boehm BO, Boer JMA, Boggia JG, Bogova E, Boissonnet CP, Bojesen SE, Bonaccio M, Bongard V, Bonilla-Vargas A, Bopp M, Borghs H, Bovet P, Boymatova K, Braeckevelt L, Braeckman L, Bragt MCE, Brajkovich I, Branca F, Breckenkamp J, Breda J, Brenner H, Brewster LM, Brian GR, Briceño Y, Brinduse L, Brito M, Brophy S, Brug J, Bruno G, Bugge A, Buntinx F, Buoncristiano M, Burazeri G, Burns C, de León AC, Cacciottolo J, Cai H, Caixeta RB, Cama T, Cameron C, Camolas J, Can G, Cândido APC, Cañete F, Capanzana MV, Čapková N, Capuano E, Capuano R, Capuano V, Cardol M, Cardoso VC, Carlsson AC, Carmuega E, Carvalho J, Casajús JA, Casanueva FF, Casas M, Celikcan E, Censi L, Cervantes‐Loaiza M, Cesar JA, Chamukuttan S, Chan A, Chan Q, Chaturvedi HK, Chaturvedi N, Rahim NCA, Chee ML, Chen CJ, Chen F, Chen H, Chen S, Chen Z, Cheng CY, Cheng YJ, Cheraghian B, Chetrit A, Chikova-Iscener E, Chinapaw MJM, Chinnock A, Chiolero A, Chiou ST, Chirlaque MD, Cho B, Christensen K, Christofaro DG, Chudek J, Cifkova R, Cilia M, Cinteza E, Cirillo M, Claessens F, Clarke J, Clays E, Cohen E, Compañ-Gabucio LM, Concin H, Confortin SC, Cooper C, Coppinger TC, Corpeleijn E, Cortés LY, Costanzo S, Cottel D, Cowell C, Craig CL, Crampin AC, Cross AJ, Crujeiras AB, Cruz JJ, Csányi T, Csilla S, Cucu AM, Cui L, Cureau FV, Cuschieri S, Czenczek-Lewandowska E, D’Arrigo G, d’Orsi E, Dacica L, Dallongeville J, Damasceno A, Damsgaard CT, Dankner R, Dantoft TM, Dasgupta P, Dastgiri S, Dauchet L, Davletov K, de Assis MAA, De Backer G, De Bacquer D, De Curtis A, de Fragas Hinnig P, de Gaetano G, De Henauw S, De Miguel-Etayo P, de Oliveira PD, De Ridder D, De Ridder K, de Rooij SR, De Smedt D, Deepa M, Deev AD, DeGennaro V, Delisle H, Delpeuch F, Demarest S, Dennison E, Dereń K, Deschamps V, Dhimal M, Di Castelnuovo A, Dias-da-Costa JS, Díaz-Sánchez ME, Diaz A, Fernández PD, Ripollés MPD, Dika Z, Djalalinia S, Djordjic V, Do HTP, Dobson AJ, Dominguez L, Donati MB, Donfrancesco C, Dong G, Dong Y, Donoso SP, Döring A, Dorobantu M, Dorosty AR, Doua K, Dragano N, Drygas W, Duan JL, Duante CA, Duboz P, Duleva VL, Dulskiene V, Dumith SC, Dushpanova A, Dyussupova A, Dzerve V, Dziankowska-Zaborszczyk E, Echeverría G, Eddie R, Eftekhar E, Egbagbe EE, Eggertsen R, Eghtesad S, Eiben G, Ekelund U, El-Khateeb M, El Ammari L, El Ati J, Eldemire-Shearer D, Eliasen M, Elliott P, Endevelt R, Engle-Stone R, Erasmus RT, Erbel R, Erem C, Ergor G, Eriksen L, Eriksson JG, Escobedo-de la Peña J, Eslami S, Esmaeili A, Evans A, Faeh D, Fakhradiyev I, Fakhretdinova AA, Fall CH, Faramarzi E, Farjam M, Sant’Angelo VF, Fattahi MR, Fawwad A, Fawzi WW, Feigl E, Felix-Redondo FJ, Ferguson TS, Fernandes RA, Fernández-Bergés D, Ferrante D, Ferrao T, Ferrari G, Ferrari M, Ferrario MM, Ferreccio C, Ferreira HS, Ferrer E, Ferrieres J, Figueiró TH, Fijalkowska A, Fisberg M, Fischer K, Foo LH, Forsner M, Fouad HM, Francis DK, do Carmo Franco M, Fras Z, Frontera G, Fuchs FD, Fuchs SC, Fujiati II, Fujita Y, Fumihiko M, Furdela V, Furusawa T, Gaciong Z, Gafencu M, Cuesta MG, Galbarczyk A, Galenkamp H, Galeone D, Galfo M, Galvano F, Gao J, Gao P, Garcia-de-la-Hera M, Mérida MJG, Solano MG, Gareta D, Garnett SP, Gaspoz JM, Gasull M, Gaya ACA, Gaya AR, Gazzinelli A, Gehring U, Geiger H, Geleijnse JM, George R, Ghaderi E, Ghanbari A, Ghasemi E, Gheorghe-Fronea OF, Gialluisi A, Giampaoli S, Gianfagna F, Gieger C, Gill TK, Giovannelli J, Gironella G, Giwercman A, Gkiouras K, Glushkova N, Gluškova N, Godara R, Godos J, Gogen S, Goldberg M, Goltzman D, Gómez G, Gómez JHG, Gomez LF, Gómez SF, Gomula A, da Silva BGC, Gonçalves H, Gonçalves M, González-Alvarez AD, Gonzalez-Chica DA, González-Gil EM, Gonzalez-Gross M, 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M, Scazufca M, Schaan BD, Rosario AS, Schargrodsky H, Schienkiewitz A, Schindler K, Schipf S, Schmidt CO, Schmidt IM, Schneider A, Schnohr P, Schöttker B, Schramm S, Schramm S, Schröder H, Schultsz C, Schulze MB, Schutte AE, Sebert S, Sedaghattalab M, Selamat R, Sember V, Sen A, Senbanjo IO, Sepanlou SG, Sequera G, Serra-Majem L, Servais J, Ševčíková Ľ, Shalnova S, Shamah-Levy T, Shamshirgaran SM, Shanthirani CS, Sharafkhah M, Sharma SK, Shaw JE, Shayanrad A, Shayesteh AA, Shengelia L, Shi Z, Shibuya K, Shimizu-Furusawa H, Shimony T, Shiri R, Shrestha N, Si-Ramlee K, Siani A, Siantar R, Sibai AM, Sidossis LS, Silitrari N, Silva AM, de Moura Silva CR, Silva DAS, Silva KS, Sim X, Simon M, Simons J, Simons LA, Sjöberg A, Sjöström M, Skoblina NA, Skodje G, Slazhnyova T, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, So HK, Soares FC, Sobek G, Sobngwi E, Sodemann M, Söderberg S, Soekatri MYE, Soemantri A, Sofat R, Solfrizzi V, Somi MH, Sonestedt E, Song Y, Soofi S, Sørensen TIA, Sørgjerd 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Vrijkotte TGM, Wade AN, Waldhör T, Walton J, Wambiya EOA, Bebakar WMW, Mohamud WNW, de Souza Wanderley Júnior R, Wang MD, Wang N, Wang Q, Wang X, Wang YX, Wang YW, Wannamethee SG, Wareham N, Weber A, Webster-Kerr K, Wedderkopp N, Weghuber D, Wei W, Weres A, Werner B, Westbury LD, Whincup PH, Wickramasinghe K, Widhalm K, Widyahening IS, Więcek A, Wild PS, Wilks RJ, Willeit J, Willeit P, Williams J, Wilsgaard T, Wojciech R, Wojtyniak B, Wolf K, Wong-McClure RA, Wong A, Wong EB, Wong JE, Wong TY, Woo J, Woodward M, Wu FC, Wu HY, Wu J, Wu LJ, Wu S, Wyszyńska J, Xu H, Xu L, Yaacob NA, Yamborisut U, Yan W, Yang L, Yang X, Yang Y, Yardim N, Yasuharu T, García MY, Yiallouros PK, Yngve A, Yoosefi M, Yoshihara A, You QS, You SL, Younger-Coleman NO, Yu YL, Yu Y, Yusof SM, Yusoff AF, Zaccagni L, Zafiropulos V, Zainuddin AA, Zakavi SR, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zargar AH, Zaw KK, Zayed AA, Zdrojewski T, Żegleń M, Zejglicova K, Vrkic TZ, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhecheva YV, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zins M, Zitt E, Zocalo Y, Zoghlami N, Cisneros JZ, Zuziak M, Bhutta ZA, Black RE, Ezzati M. Diminishing benefits of urban living for children and adolescents' growth and development. Nature 2023; 615:874-883. [PMID: 36991188 PMCID: PMC10060164 DOI: 10.1038/s41586-023-05772-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 01/30/2023] [Indexed: 03/31/2023]
Abstract
Optimal growth and development in childhood and adolescence is crucial for lifelong health and well-being1-6. Here we used data from 2,325 population-based studies, with measurements of height and weight from 71 million participants, to report the height and body-mass index (BMI) of children and adolescents aged 5-19 years on the basis of rural and urban place of residence in 200 countries and territories from 1990 to 2020. In 1990, children and adolescents residing in cities were taller than their rural counterparts in all but a few high-income countries. By 2020, the urban height advantage became smaller in most countries, and in many high-income western countries it reversed into a small urban-based disadvantage. The exception was for boys in most countries in sub-Saharan Africa and in some countries in Oceania, south Asia and the region of central Asia, Middle East and north Africa. In these countries, successive cohorts of boys from rural places either did not gain height or possibly became shorter, and hence fell further behind their urban peers. The difference between the age-standardized mean BMI of children in urban and rural areas was <1.1 kg m-2 in the vast majority of countries. Within this small range, BMI increased slightly more in cities than in rural areas, except in south Asia, sub-Saharan Africa and some countries in central and eastern Europe. Our results show that in much of the world, the growth and developmental advantages of living in cities have diminished in the twenty-first century, whereas in much of sub-Saharan Africa they have amplified.
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Huybrechts I, Rauber F, Nicolas G, Casagrande C, Kliemann N, Wedekind R, Biessy C, Scalbert A, Touvier M, Aleksandrova K, Jakszyn P, Skeie G, Bajracharya R, Boer JMA, Borné Y, Chajes V, Dahm CC, Dansero L, Guevara M, Heath AK, Ibsen DB, Papier K, Katzke V, Kyrø C, Masala G, Molina-Montes E, Robinson OJK, Santiuste de Pablos C, Schulze MB, Simeon V, Sonestedt E, Tjønneland A, Tumino R, van der Schouw YT, Verschuren WMM, Vozar B, Winkvist A, Gunter MJ, Monteiro CA, Millett C, Levy RB. Characterization of the degree of food processing in the European Prospective Investigation into Cancer and Nutrition: Application of the Nova classification and validation using selected biomarkers of food processing. Front Nutr 2022; 9:1035580. [PMID: 36590209 PMCID: PMC9800919 DOI: 10.3389/fnut.2022.1035580] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 11/17/2022] [Indexed: 12/23/2022] Open
Abstract
Background Epidemiological studies have demonstrated an association between the degree of food processing in our diet and the risk of various chronic diseases. Much of this evidence is based on the international Nova classification system, which classifies food into four groups based on the type of processing: (1) Unprocessed and minimally processed foods, (2) Processed culinary ingredients, (3) Processed foods, and (4) "Ultra-processed" foods (UPF). The ability of the Nova classification to accurately characterise the degree of food processing across consumption patterns in various European populations has not been investigated so far. Therefore, we applied the Nova coding to data from the European Prospective Investigation into Cancer and Nutrition (EPIC) in order to characterize the degree of food processing in our diet across European populations with diverse cultural and socio-economic backgrounds and to validate this Nova classification through comparison with objective biomarker measurements. Methods After grouping foods in the EPIC dataset according to the Nova classification, a total of 476,768 participants in the EPIC cohort (71.5% women; mean age 51 [standard deviation (SD) 9.93]; median age 52 [percentile (p)25-p75: 58-66] years) were included in the cross-sectional analysis that characterised consumption patterns based on the Nova classification. The consumption of food products classified as different Nova categories were compared to relevant circulating biomarkers denoting food processing, measured in various subsamples (N between 417 and 9,460) within the EPIC cohort via (partial) correlation analyses (unadjusted and adjusted by sex, age, BMI and country). These biomarkers included an industrial transfatty acid (ITFA) isomer (elaidic acid; exogenous fatty acid generated during oil hydrogenation and heating) and urinary 4-methyl syringol sulfate (an indicator for the consumption of smoked food and a component of liquid smoke used in UPF). Results Contributions of UPF intake to the overall diet in % grams/day varied across countries from 7% (France) to 23% (Norway) and their contributions to overall % energy intake from 16% (Spain and Italy) to >45% (in the UK and Norway). Differences were also found between sociodemographic groups; participants in the highest fourth of UPF consumption tended to be younger, taller, less educated, current smokers, more physically active, have a higher reported intake of energy and lower reported intake of alcohol. The UPF pattern as defined based on the Nova classification (group 4;% kcal/day) was positively associated with blood levels of industrial elaidic acid (r = 0.54) and 4-methyl syringol sulfate (r = 0.43). Associations for the other 3 Nova groups with these food processing biomarkers were either inverse or non-significant (e.g., for unprocessed and minimally processed foods these correlations were -0.07 and -0.37 for elaidic acid and 4-methyl syringol sulfate, respectively). Conclusion These results, based on a large pan-European cohort, demonstrate sociodemographic and geographical differences in the consumption of UPF. Furthermore, these results suggest that the Nova classification can accurately capture consumption of UPF, reflected by stronger correlations with circulating levels of industrial elaidic acid and a syringol metabolite compared to diets high in minimally processed foods.
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Affiliation(s)
- Inge Huybrechts
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Fernanda Rauber
- Department of Preventive Medicine, School of Medicine, University of São Paulo, São Paulo, Brazil
- Center for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil
| | - Geneviève Nicolas
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Corinne Casagrande
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Nathalie Kliemann
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Roland Wedekind
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Carine Biessy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Augustin Scalbert
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Mathilde Touvier
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University Paris Cité (CRESS), Paris, France
| | - Krasimira Aleksandrova
- Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology (BIPS), Bremen, Germany
- Human and Health Sciences, University of Bremen, Bremen, Germany
| | - Paula Jakszyn
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
- Blanquerna School of Health Sciences, Ramon Llull University, Barcelona, Spain
| | - Guri Skeie
- Department of Community Medicine, UiT the Arctic University of Norway, Tromsø, Norway
| | | | - Jolanda M. A. Boer
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Yan Borné
- Department of Clinical Sciences Malmö, Faculty of Medicine, Nutritional Epidemiology, Lund University, Lund, Sweden
| | - Veronique Chajes
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | | | - Lucia Dansero
- Department of Clinical and Biological Sciences, Centre for Biostatistics, Epidemiology, and Public Health (C-BEPH), University of Turin, Turin, Italy
| | - Marcela Guevara
- Instituto de Salud Pública de Navarra, Pamplona, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Alicia K. Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Daniel B. Ibsen
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Steno Diabetes Center Aarhus, Aarhus, Denmark
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Verena Katzke
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Cecilie Kyrø
- Danish Cancer Society Research Center, Danish Cancer Society, Copenhagen, Denmark
| | - Giovanna Masala
- Clinical Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Esther Molina-Montes
- Department of Nutrition and Food Science, Campus of Cartuja, University of Granada, Granada, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- Biomedical Research Centre, Institute of Nutrition and Food Technology (INYTA) “José Mataix”, University of Granada, Granada, Spain
| | - Oliver J. K. Robinson
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
| | - Carmen Santiuste de Pablos
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Vittorio Simeon
- Dipartimento di Salute Mentale e Fisica e Medicina Preventiva, Vanvitelli University, Naples, Italy
| | - Emily Sonestedt
- Department of Clinical Sciences Malmö, Faculty of Medicine, Nutritional Epidemiology, Lund University, Lund, Sweden
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Danish Cancer Society, Copenhagen, Denmark
| | - Rosario Tumino
- Hyblean Association for Epidemiological Research, AIRE ONLUS, Ragusa, Italy
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - W. M. Monique Verschuren
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Beatrice Vozar
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Anna Winkvist
- Sustainable Health, Department Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
- Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Marc J. Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Carlos A. Monteiro
- Center for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Christopher Millett
- Department of Preventive Medicine, School of Medicine, University of São Paulo, São Paulo, Brazil
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, United Kingdom
| | - Renata Bertazzi Levy
- Department of Preventive Medicine, School of Medicine, University of São Paulo, São Paulo, Brazil
- Center for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil
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27
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Andersen ZJ, Zhang J, Jørgensen JT, Samoli E, Liu S, Chen J, Strak M, Wolf K, Weinmayr G, Rodopolou S, Remfry E, de Hoogh K, Bellander T, Brandt J, Concin H, Zitt E, Fecht D, Forastiere F, Gulliver J, Hoffmann B, Hvidtfeldt UA, Monique Verschuren WM, Jöckel KH, So R, Cole-Hunter T, Mehta AJ, Mortensen LH, Ketzel M, Lager A, Leander K, Ljungman P, Severi G, Boutron-Ruault MC, Magnusson PKE, Nagel G, Pershagen G, Peters A, Rizzuto D, van der Schouw YT, Schramm S, Stafoggia M, Katsouyanni K, Brunekreef B, Hoek G, Lim YH. Long-term exposure to air pollution and mortality from dementia, psychiatric disorders, and suicide in a large pooled European cohort: ELAPSE study. Environ Int 2022; 170:107581. [PMID: 36244228 DOI: 10.1016/j.envint.2022.107581] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 10/04/2022] [Accepted: 10/11/2022] [Indexed: 06/16/2023]
Abstract
Ambient air pollution is an established risk factor for premature mortality from chronic cardiovascular, respiratory and metabolic diseases, while evidence on neurodegenerative diseases and psychiatric disorders remains limited. We examined the association between long-term exposure to air pollution and mortality from dementia, psychiatric disorders, and suicide in seven European cohorts. Within the multicenter project 'Effects of Low-Level Air Pollution: A Study in Europe' (ELAPSE), we pooled data from seven European cohorts from six countries. Based on the residential addresses, annual mean levels of fine particulate matter (PM2.5), nitrogen dioxide (NO2), black carbon (BC), ozone (O3), and 8 PM2.5 components were estimated using Europe-wide hybrid land-use regression models. We applied stratified Cox proportional hazard models to investigate the associations between air pollution and mortality from dementia, psychiatric disorders, and suicide. Of 271,720 participants, 900 died from dementia, 241 from psychiatric disorders, and 164 from suicide, during a mean follow-up of 19.7 years. In fully adjusted models, we observed positive associations of NO2 (hazard ratio [HR] = 1.38; 95 % confidence interval [CI]: 1.13, 1.70 per 10 µg/m3), PM2.5 (HR = 1.29; 95 % CI: 0.98, 1.71 per 5 µg/m3), and BC (HR = 1.37; 95 % CI: 1.11, 1.69 per 0.5 × 10-5/m) with psychiatric disorders mortality, as well as with suicide (NO2: HR = 1.13 [95 % CI: 0.92, 1.38]; PM2.5: HR = 1.19 [95 % CI: 0.76, 1.87]; BC: HR = 1.08 [95 % CI: 0.87, 1.35]), and no association with dementia mortality. We did not detect any positive associations of O3 and 8 PM2.5 components with any of the three mortality outcomes. Long-term exposure to NO2, PM2.5, and BC may lead to premature mortality from psychiatric disorders and suicide.
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Affiliation(s)
- Zorana J Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jiawei Zhang
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jeanette T Jørgensen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Shuo Liu
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Maciej Strak
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Sophia Rodopolou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Elizabeth Remfry
- Wolfson Institute of Population Health, Queen Mary University of London, United Kingdom
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate, Interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Hans Concin
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria
| | - Emanuel Zitt
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria; Department of Internal Medicine 3, LKH Feldkirch, Feldkirch, Austria
| | - Daniela Fecht
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
| | - Francesco Forastiere
- Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Rome, Italy; Science Policy & Epidemiology Environmental Research Group, King's College London, London, United Kingdom
| | - John Gulliver
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom; Centre for Environmental Health and Sustainability & School of Geography, Geology and the Environment, University of Leicester, Leicester, United Kingdom
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Germany
| | | | - W M Monique Verschuren
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands; Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Rina So
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tom Cole-Hunter
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Amar J Mehta
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Laust H Mortensen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Statistics Denmark, Copenhagen, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford GU2 7XH, United Kingdom
| | - Anton Lager
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Petter Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden
| | - Gianluca Severi
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" Team, CESP UMR1018, 94805 Villejuif, France; Department of Statistics, Computer Science and Applications "G. Parenti" (DISIA), University of Florence, Italy
| | - Marie-Christine Boutron-Ruault
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" Team, CESP UMR1018, 94805 Villejuif, France
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany; Ludwig Maximilians Universität München, München, Germany
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Sara Schramm
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Massimo Stafoggia
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Rome, Italy
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece; Science Policy & Epidemiology Environmental Research Group, King's College London, London, United Kingdom
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Youn-Hee Lim
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
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28
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Gaziano L, Sun L, Arnold M, Bell S, Cho K, Kaptoge SK, Song RJ, Burgess S, Posner DC, Mosconi K, Robinson-Cohen C, Mason AM, Bolton TR, Tao R, Allara E, Schubert P, Chen L, Staley JR, Staplin N, Altay S, Amiano P, Arndt V, Ärnlöv J, Barr EL, Björkelund C, Boer JM, Brenner H, Casiglia E, Chiodini P, Cooper JA, Coresh J, Cushman M, Dankner R, Davidson KW, de Jongh RT, Donfrancesco C, Engström G, Freisling H, de la Cámara AG, Gudnason V, Hankey GJ, Hansson PO, Heath AK, Hoorn EJ, Imano H, Jassal SK, Kaaks R, Katzke V, Kauhanen J, Kiechl S, Koenig W, Kronmal RA, Kyrø C, Lawlor DA, Ljungberg B, MacDonald C, Masala G, Meisinger C, Melander O, Moreno Iribas C, Ninomiya T, Nitsch D, Nordestgaard BG, Onland-Moret C, Palmieri L, Petrova D, Garcia JRQ, Rosengren A, Sacerdote C, Sakurai M, Santiuste C, Schulze MB, Sieri S, Sundström J, Tikhonoff V, Tjønneland A, Tong T, Tumino R, Tzoulaki I, van der Schouw YT, Monique Verschuren W, Völzke H, Wallace RB, Wannamethee SG, Weiderpass E, Willeit P, Woodward M, Yamagishi K, Zamora-Ros R, Akwo EA, Pyarajan S, Gagnon DR, Tsao PS, Muralidhar S, Edwards TL, Damrauer SM, Joseph J, Pennells L, Wilson PW, Harrison S, Gaziano TA, Inouye M, Baigent C, Casas JP, Langenberg C, Wareham N, Riboli E, Gaziano J, Danesh J, Hung AM, Butterworth AS, Wood AM, Di Angelantonio E. Mild-to-Moderate Kidney Dysfunction and Cardiovascular Disease: Observational and Mendelian Randomization Analyses. Circulation 2022; 146:1507-1517. [PMID: 36314129 PMCID: PMC9662821 DOI: 10.1161/circulationaha.122.060700] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 08/18/2022] [Indexed: 01/28/2023]
Abstract
BACKGROUND End-stage renal disease is associated with a high risk of cardiovascular events. It is unknown, however, whether mild-to-moderate kidney dysfunction is causally related to coronary heart disease (CHD) and stroke. METHODS Observational analyses were conducted using individual-level data from 4 population data sources (Emerging Risk Factors Collaboration, EPIC-CVD [European Prospective Investigation into Cancer and Nutrition-Cardiovascular Disease Study], Million Veteran Program, and UK Biobank), comprising 648 135 participants with no history of cardiovascular disease or diabetes at baseline, yielding 42 858 and 15 693 incident CHD and stroke events, respectively, during 6.8 million person-years of follow-up. Using a genetic risk score of 218 variants for estimated glomerular filtration rate (eGFR), we conducted Mendelian randomization analyses involving 413 718 participants (25 917 CHD and 8622 strokes) in EPIC-CVD, Million Veteran Program, and UK Biobank. RESULTS There were U-shaped observational associations of creatinine-based eGFR with CHD and stroke, with higher risk in participants with eGFR values <60 or >105 mL·min-1·1.73 m-2, compared with those with eGFR between 60 and 105 mL·min-1·1.73 m-2. Mendelian randomization analyses for CHD showed an association among participants with eGFR <60 mL·min-1·1.73 m-2, with a 14% (95% CI, 3%-27%) higher CHD risk per 5 mL·min-1·1.73 m-2 lower genetically predicted eGFR, but not for those with eGFR >105 mL·min-1·1.73 m-2. Results were not materially different after adjustment for factors associated with the eGFR genetic risk score, such as lipoprotein(a), triglycerides, hemoglobin A1c, and blood pressure. Mendelian randomization results for stroke were nonsignificant but broadly similar to those for CHD. CONCLUSIONS In people without manifest cardiovascular disease or diabetes, mild-to-moderate kidney dysfunction is causally related to risk of CHD, highlighting the potential value of preventive approaches that preserve and modulate kidney function.
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Affiliation(s)
- Liam Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - Luanluan Sun
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | | | - Steven Bell
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Stroke Research Group, Department of Clinical Neurosciences (S. Bell), University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
| | - Kelly Cho
- Division of Aging (K.C., S.P., J.P.C. J.M.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Stephen K. Kaptoge
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - Rebecca J. Song
- Department of Epidemiology, Boston University School of Public Health, MA (R.J.S.)
| | - Stephen Burgess
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Medical Research Council Biostatistics Unit (A.M.M., S. Burgess), University of Cambridge, UK
| | - Daniel C. Posner
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
| | - Katja Mosconi
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - Cassianne Robinson-Cohen
- Division of Nephrology, Department of Medicine (C.R.-C., E.A.A.), Vanderbilt University Medical Center, Nashville, TN
| | - Amy M. Mason
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Medical Research Council Biostatistics Unit (A.M.M., S. Burgess), University of Cambridge, UK
| | - Thomas R. Bolton
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
| | - Ran Tao
- Department of Biostatistics (R. Tao), Vanderbilt University Medical Center, Nashville, TN
| | - Elias Allara
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
| | - Petra Schubert
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
| | - Lingyan Chen
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - James R. Staley
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - Natalie Staplin
- Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (N.S., C.B.), Nuffield Department of Population Health, University of Oxford, UK
| | - Servet Altay
- Department of Cardiology, Trakya University School of Medicine, Edirne, Turkey (S.A.)
| | - Pilar Amiano
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastián, Spain (P.A.)
- Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, San Sebastián, Spain (P.A.)
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain (P.A., A.G.d.l.C., D.P., C. Santiuste)
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research (V.A.), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Johan Ärnlöv
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Medical Research Council Biostatistics Unit (A.M.M., S. Burgess), University of Cambridge, UK
- Stroke Research Group, Department of Clinical Neurosciences (S. Bell), University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
- MRC Epidemiology Unit, School of Clinical Medicine (C.L., N.W.), University of Cambridge, UK
- Division of Aging (K.C., S.P., J.P.C. J.M.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Division of Cardiovascular Medicine (J.J., T.A.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Department of Epidemiology, Boston University School of Public Health, MA (R.J.S.)
- Division of Nephrology, Department of Medicine (C.R.-C., E.A.A.), Vanderbilt University Medical Center, Nashville, TN
- Department of Biostatistics (R. Tao), Vanderbilt University Medical Center, Nashville, TN
- Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (N.S., C.B.), Nuffield Department of Population Health, University of Oxford, UK
- Cancer Epidemiology Unit (T.T.), Nuffield Department of Population Health, University of Oxford, UK
- Department of Cardiology, Trakya University School of Medicine, Edirne, Turkey (S.A.)
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastián, Spain (P.A.)
- Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, San Sebastián, Spain (P.A.)
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain (P.A., A.G.d.l.C., D.P., C. Santiuste)
- Division of Clinical Epidemiology and Aging Research (V.A.), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Cancer Epidemiology (S.K.J., R.K., V.K.), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden (J.A., H.B.)
- School of Health and Social Studies, Dalarna University, Falun, Sweden (J.A.)
- Wellbeing & Preventable Chronic Diseases (WPCD) Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia (E.L.M.B.)
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia (E.L.M.B., M.I.)
- Institute of Medicine, School of Public Health and Community Medicine (C.B.), Sahlgrenska Academy, University of Gothenburg, Sweden
- Institute of Medicine, Department of Molecular and Clinical Medicine (P.-O.H., A.R.), Sahlgrenska Academy, University of Gothenburg, Sweden
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (J.M.A.B., W.M.M.V.)
- Network Aging Research (NAR), Heidelberg University, Germany (H.B.)
- Studium Patavinum (E.C.), University of Padua, Italy
- Department of Medicine (V.T.), University of Padua, Italy
- Dipartimento di Salute Mentale e Fisica e Medicina Preventiva, Università degli Studi della Campania ‘Luigi Vanvitelli’, Caserta, Italy (P.C.)
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, UK (J.A.C.)
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.C.)
- Larner College of Medicine, The University of Vermont, Burlington (M.C.)
- The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Israel (R.D.)
- School of Public Health, Department of Epidemiology and Preventive Medicine, Tel Aviv University, Ramat Aviv, Tel Aviv, Israel (R.D.)
- Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, NY (R.D., K.W.D.)
- Amsterdam University Medical Centers, VUMC, the Netherlands (R.T.d.J.)
- Department of Cardiovascular, Endocrine-metabolic Diseases and Aging, Istituto Superiore di Sanità, Rome, Italy (C.D., L. Palmer)
- Department of Clinical Sciences, Malmö, Lund University, Sweden (G.E., O.M.)
- International Agency for Research on Cancer (IARC), World Health Organization, Lyon, France (H.F., E.W.)
- 12 Octubre Hospital Research Institute, Madrid, Spain (A.G.d,l,C.)
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland and Icelandic Heart Association, Kopavogur, Iceland (V.G.)
- Medical School Faculty of Health & Medical Sciences, The University of Western Australia, Perth, WA, Australia (G.J.H.)
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Medicine Geriatrics and Emergency Medicine/Östra, Gothenburg, Sweden (P.-O.H., A.R.)
- School of Public Health (A.K.H., I.T., E.R.), Imperial College London, UK
- The George Institute for Global Health (M.W.), Imperial College London, UK
- Department of Internal Medicine, Division of Nephrology and Transplantation, Erasmus MC, University Medical Center Rotterdam, the Netherlands (E.J.H.)
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan (H.I.)
- University of Eastern Finland (UEF), Kuopio, Finland (J.K.)
- Department of Neurology & Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria (S.K.)
- Clinical Epidemiology Team, Institute of Health Economics, Medical University of Innsbruck, Innsbruck, Austria (S.K., P.W.)
- Institute of Epidemiology and Medical Biometry, University of Ulm, Germany (W.K.)
- Deutsches Herzzentrum München, Technische Universität München, Germany (W.K.)
- German Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance (W.K.)
- School of Public Health, University of Washington, Seattle (R.A.K.)
- Danish Cancer Society Research Center, Copenhagen, Denmark (C.K., A.T.)
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, UK (D.A.L.)
- Population Health Science, Bristol Medical School, UK (D.A.L.)
- Department of Surgical and Perioperative sciences, Urology and Andrology, Umeå University, Sweden (B.L.)
- University Paris-Saclay, UVSQ, Inserm, Villejuif, France (C. MacDonald)
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy (G.M.)
- Helmholtz Zentrum München, Munich, Germany (C. Meisinger)
- Navarra Public Health Institute, IdiSNA, Pamplona, Spain (C.M.I.)
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Pamplona, Spain (C.M.I.)
- Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (T.N.)
- London School of Hygiene & Tropical Medicine, UK (D.N.)
- Herlev and Gentofte Hospital (B.G.N.), Copenhagen University Hospital, Copenhagen, Denmark
- Frederiksberg Hospital B.G.N.), Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences (B.G.N.), University of Copenhagen, Denmark
- Department of Public Health (A.T.), University of Copenhagen, Denmark
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands (C.O.-M., Y.T.v.d.S., W.M.M.V.)
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain (D.P.)
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain (D.P.)
- Consejería de Sanidad del Principado de Asturias Oviedo, Asturias, Spain (J.R.Q.G.)
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy (C. Sacerdote)
- Department of Social and Environmental Medicine, Kanazawa Medical University, Uchinada, Japan (M.S.)
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Spain (C. Santiuste)
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany (M.B.S.)
- German Center for Diabetes Research (DZD), Neuherberg, Germany (M.B.S.)
- Institute of Nutritional Science, University of Potsdam, Germany (M.B.S.)
- Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy (S.S.)
- Department of Medical Sciences, Uppsala University, Sweden (J.S.)
- Hyblean Association for Epidemiological Reserach AIRE - ONLUS, Ragusa, Italy (R.T.)
- Universitätsmedizin Greifswald, Institut für Community Medicine, Abteilung SHIP/ Klinisch-Epidemiologische Forschung, Germany (H.V.)
- College of Public Health, University of Iowa (R.B.W.)
- University College London, UK (S.G.W.)
- The George Institute for Global Health, Camperdown, NSW, Australia (M.W.)
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, Japan (K.Y.)
- Unit of Nutrition and Cancer, Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat (Barcelona), Spain (R.Z.-R.)
- Center for Data and Computational Sciences, VA Boston Healthcare System, Boston, MA (S.P.)
- Department of Biostatistics, Boston University School of Public Health, MA (D.R.G.)
- VA Pal Alto Epidemiology Research and Information Center for Genomics, VA Palo Alto Health Care System, CA (P.S.T.)
- Medicine (Cardiovascular Medicine), Stanford University of School of Medicine, CA (P.S.T.)
- Office of Research and Development, Veterans Health Administration, Washington, DC (S.M.)
- Department of Veterans Affairs, Tennessee Valley Health Care System, Vanderbilt University, Nashville (T.L.E.)
- Medicine/Epidemiology, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN (T.L.E.)
- Department of Surgery, Corporal Michael Crescenz VA Medical Center and Perelman School of Medicine, University of Pennsylvania, Philadelphia (S.M.D.)
- Internal Medicine, VA Atlanta Healthcare System, Decatur, GA (P.W.F.W.)
- Emory University School of Medicine (Cardiology), Emory University, Atlanta, GA (P.W.F.W.)
- Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (T.A.G.)
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK (M.I., J.D., A.S.B., A.M.W., E.D.A.)
- The Alan Turing Institute, London, UK (M.I.)
- Computational Medicine, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Germany (C.L.)
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK (J.D.)
- Division of Nephrology & Hypertension, Department of Medicine, Tennessee Valley Health Care System and Vanderbilt University Medical Center, Nashville (A.M.H.)
- Cambridge Centre for AI in Medicine, UK (A.M.W.)
- Health Data Science Centre, Human Technopole, Milan, Italy (E.D.A.)
| | - Elizabeth L.M. Barr
- Wellbeing & Preventable Chronic Diseases (WPCD) Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia (E.L.M.B.)
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia (E.L.M.B., M.I.)
| | - Cecilia Björkelund
- Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (N.S., C.B.), Nuffield Department of Population Health, University of Oxford, UK
| | - Jolanda M.A. Boer
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (J.M.A.B., W.M.M.V.)
| | - Hermann Brenner
- Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden (J.A., H.B.)
- Network Aging Research (NAR), Heidelberg University, Germany (H.B.)
| | | | - Paolo Chiodini
- Dipartimento di Salute Mentale e Fisica e Medicina Preventiva, Università degli Studi della Campania ‘Luigi Vanvitelli’, Caserta, Italy (P.C.)
| | - Jackie A. Cooper
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, UK (J.A.C.)
| | - Josef Coresh
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.C.)
| | - Mary Cushman
- Larner College of Medicine, The University of Vermont, Burlington (M.C.)
| | - Rachel Dankner
- The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Israel (R.D.)
- School of Public Health, Department of Epidemiology and Preventive Medicine, Tel Aviv University, Ramat Aviv, Tel Aviv, Israel (R.D.)
- Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, NY (R.D., K.W.D.)
| | - Karina W. Davidson
- Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, NY (R.D., K.W.D.)
| | | | - Chiara Donfrancesco
- Department of Cardiovascular, Endocrine-metabolic Diseases and Aging, Istituto Superiore di Sanità, Rome, Italy (C.D., L. Palmer)
| | - Gunnar Engström
- Department of Clinical Sciences, Malmö, Lund University, Sweden (G.E., O.M.)
| | - Heinz Freisling
- International Agency for Research on Cancer (IARC), World Health Organization, Lyon, France (H.F., E.W.)
| | - Agustín Gómez de la Cámara
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain (P.A., A.G.d.l.C., D.P., C. Santiuste)
- 12 Octubre Hospital Research Institute, Madrid, Spain (A.G.d,l,C.)
| | - Vilmundur Gudnason
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland and Icelandic Heart Association, Kopavogur, Iceland (V.G.)
| | - Graeme J. Hankey
- Medical School Faculty of Health & Medical Sciences, The University of Western Australia, Perth, WA, Australia (G.J.H.)
| | - Per-Olof Hansson
- Institute of Medicine, Department of Molecular and Clinical Medicine (P.-O.H., A.R.), Sahlgrenska Academy, University of Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Medicine Geriatrics and Emergency Medicine/Östra, Gothenburg, Sweden (P.-O.H., A.R.)
| | - Alicia K. Heath
- School of Public Health (A.K.H., I.T., E.R.), Imperial College London, UK
| | - Ewout J. Hoorn
- Department of Internal Medicine, Division of Nephrology and Transplantation, Erasmus MC, University Medical Center Rotterdam, the Netherlands (E.J.H.)
| | - Hironori Imano
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan (H.I.)
| | - Simerjot K. Jassal
- Department of Cancer Epidemiology (S.K.J., R.K., V.K.), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rudolf Kaaks
- Department of Cancer Epidemiology (S.K.J., R.K., V.K.), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Verena Katzke
- Department of Cancer Epidemiology (S.K.J., R.K., V.K.), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jussi Kauhanen
- University of Eastern Finland (UEF), Kuopio, Finland (J.K.)
| | - Stefan Kiechl
- Department of Neurology & Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria (S.K.)
- Clinical Epidemiology Team, Institute of Health Economics, Medical University of Innsbruck, Innsbruck, Austria (S.K., P.W.)
| | - Wolfgang Koenig
- Institute of Epidemiology and Medical Biometry, University of Ulm, Germany (W.K.)
- Deutsches Herzzentrum München, Technische Universität München, Germany (W.K.)
- German Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance (W.K.)
| | | | - Cecilie Kyrø
- Danish Cancer Society Research Center, Copenhagen, Denmark (C.K., A.T.)
| | - Deborah A. Lawlor
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, UK (D.A.L.)
- Population Health Science, Bristol Medical School, UK (D.A.L.)
| | - Börje Ljungberg
- Department of Surgical and Perioperative sciences, Urology and Andrology, Umeå University, Sweden (B.L.)
| | - Conor MacDonald
- University Paris-Saclay, UVSQ, Inserm, Villejuif, France (C. MacDonald)
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy (G.M.)
| | | | - Olle Melander
- Department of Clinical Sciences, Malmö, Lund University, Sweden (G.E., O.M.)
| | - Conchi Moreno Iribas
- Navarra Public Health Institute, IdiSNA, Pamplona, Spain (C.M.I.)
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Pamplona, Spain (C.M.I.)
| | - Toshiharu Ninomiya
- Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (T.N.)
| | | | - Børge G. Nordestgaard
- Herlev and Gentofte Hospital (B.G.N.), Copenhagen University Hospital, Copenhagen, Denmark
- Frederiksberg Hospital B.G.N.), Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences (B.G.N.), University of Copenhagen, Denmark
| | - Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands (C.O.-M., Y.T.v.d.S., W.M.M.V.)
| | - Luigi Palmieri
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Medical Research Council Biostatistics Unit (A.M.M., S. Burgess), University of Cambridge, UK
- Stroke Research Group, Department of Clinical Neurosciences (S. Bell), University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
- MRC Epidemiology Unit, School of Clinical Medicine (C.L., N.W.), University of Cambridge, UK
- Division of Aging (K.C., S.P., J.P.C. J.M.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Division of Cardiovascular Medicine (J.J., T.A.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Department of Epidemiology, Boston University School of Public Health, MA (R.J.S.)
- Division of Nephrology, Department of Medicine (C.R.-C., E.A.A.), Vanderbilt University Medical Center, Nashville, TN
- Department of Biostatistics (R. Tao), Vanderbilt University Medical Center, Nashville, TN
- Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (N.S., C.B.), Nuffield Department of Population Health, University of Oxford, UK
- Cancer Epidemiology Unit (T.T.), Nuffield Department of Population Health, University of Oxford, UK
- Department of Cardiology, Trakya University School of Medicine, Edirne, Turkey (S.A.)
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastián, Spain (P.A.)
- Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, San Sebastián, Spain (P.A.)
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain (P.A., A.G.d.l.C., D.P., C. Santiuste)
- Division of Clinical Epidemiology and Aging Research (V.A.), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Cancer Epidemiology (S.K.J., R.K., V.K.), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden (J.A., H.B.)
- School of Health and Social Studies, Dalarna University, Falun, Sweden (J.A.)
- Wellbeing & Preventable Chronic Diseases (WPCD) Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia (E.L.M.B.)
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia (E.L.M.B., M.I.)
- Institute of Medicine, School of Public Health and Community Medicine (C.B.), Sahlgrenska Academy, University of Gothenburg, Sweden
- Institute of Medicine, Department of Molecular and Clinical Medicine (P.-O.H., A.R.), Sahlgrenska Academy, University of Gothenburg, Sweden
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (J.M.A.B., W.M.M.V.)
- Network Aging Research (NAR), Heidelberg University, Germany (H.B.)
- Studium Patavinum (E.C.), University of Padua, Italy
- Department of Medicine (V.T.), University of Padua, Italy
- Dipartimento di Salute Mentale e Fisica e Medicina Preventiva, Università degli Studi della Campania ‘Luigi Vanvitelli’, Caserta, Italy (P.C.)
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, UK (J.A.C.)
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.C.)
- Larner College of Medicine, The University of Vermont, Burlington (M.C.)
- The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Israel (R.D.)
- School of Public Health, Department of Epidemiology and Preventive Medicine, Tel Aviv University, Ramat Aviv, Tel Aviv, Israel (R.D.)
- Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, NY (R.D., K.W.D.)
- Amsterdam University Medical Centers, VUMC, the Netherlands (R.T.d.J.)
- Department of Cardiovascular, Endocrine-metabolic Diseases and Aging, Istituto Superiore di Sanità, Rome, Italy (C.D., L. Palmer)
- Department of Clinical Sciences, Malmö, Lund University, Sweden (G.E., O.M.)
- International Agency for Research on Cancer (IARC), World Health Organization, Lyon, France (H.F., E.W.)
- 12 Octubre Hospital Research Institute, Madrid, Spain (A.G.d,l,C.)
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland and Icelandic Heart Association, Kopavogur, Iceland (V.G.)
- Medical School Faculty of Health & Medical Sciences, The University of Western Australia, Perth, WA, Australia (G.J.H.)
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Medicine Geriatrics and Emergency Medicine/Östra, Gothenburg, Sweden (P.-O.H., A.R.)
- School of Public Health (A.K.H., I.T., E.R.), Imperial College London, UK
- The George Institute for Global Health (M.W.), Imperial College London, UK
- Department of Internal Medicine, Division of Nephrology and Transplantation, Erasmus MC, University Medical Center Rotterdam, the Netherlands (E.J.H.)
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan (H.I.)
- University of Eastern Finland (UEF), Kuopio, Finland (J.K.)
- Department of Neurology & Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria (S.K.)
- Clinical Epidemiology Team, Institute of Health Economics, Medical University of Innsbruck, Innsbruck, Austria (S.K., P.W.)
- Institute of Epidemiology and Medical Biometry, University of Ulm, Germany (W.K.)
- Deutsches Herzzentrum München, Technische Universität München, Germany (W.K.)
- German Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance (W.K.)
- School of Public Health, University of Washington, Seattle (R.A.K.)
- Danish Cancer Society Research Center, Copenhagen, Denmark (C.K., A.T.)
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, UK (D.A.L.)
- Population Health Science, Bristol Medical School, UK (D.A.L.)
- Department of Surgical and Perioperative sciences, Urology and Andrology, Umeå University, Sweden (B.L.)
- University Paris-Saclay, UVSQ, Inserm, Villejuif, France (C. MacDonald)
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy (G.M.)
- Helmholtz Zentrum München, Munich, Germany (C. Meisinger)
- Navarra Public Health Institute, IdiSNA, Pamplona, Spain (C.M.I.)
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Pamplona, Spain (C.M.I.)
- Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (T.N.)
- London School of Hygiene & Tropical Medicine, UK (D.N.)
- Herlev and Gentofte Hospital (B.G.N.), Copenhagen University Hospital, Copenhagen, Denmark
- Frederiksberg Hospital B.G.N.), Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences (B.G.N.), University of Copenhagen, Denmark
- Department of Public Health (A.T.), University of Copenhagen, Denmark
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands (C.O.-M., Y.T.v.d.S., W.M.M.V.)
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain (D.P.)
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain (D.P.)
- Consejería de Sanidad del Principado de Asturias Oviedo, Asturias, Spain (J.R.Q.G.)
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy (C. Sacerdote)
- Department of Social and Environmental Medicine, Kanazawa Medical University, Uchinada, Japan (M.S.)
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Spain (C. Santiuste)
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany (M.B.S.)
- German Center for Diabetes Research (DZD), Neuherberg, Germany (M.B.S.)
- Institute of Nutritional Science, University of Potsdam, Germany (M.B.S.)
- Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy (S.S.)
- Department of Medical Sciences, Uppsala University, Sweden (J.S.)
- Hyblean Association for Epidemiological Reserach AIRE - ONLUS, Ragusa, Italy (R.T.)
- Universitätsmedizin Greifswald, Institut für Community Medicine, Abteilung SHIP/ Klinisch-Epidemiologische Forschung, Germany (H.V.)
- College of Public Health, University of Iowa (R.B.W.)
- University College London, UK (S.G.W.)
- The George Institute for Global Health, Camperdown, NSW, Australia (M.W.)
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, Japan (K.Y.)
- Unit of Nutrition and Cancer, Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat (Barcelona), Spain (R.Z.-R.)
- Center for Data and Computational Sciences, VA Boston Healthcare System, Boston, MA (S.P.)
- Department of Biostatistics, Boston University School of Public Health, MA (D.R.G.)
- VA Pal Alto Epidemiology Research and Information Center for Genomics, VA Palo Alto Health Care System, CA (P.S.T.)
- Medicine (Cardiovascular Medicine), Stanford University of School of Medicine, CA (P.S.T.)
- Office of Research and Development, Veterans Health Administration, Washington, DC (S.M.)
- Department of Veterans Affairs, Tennessee Valley Health Care System, Vanderbilt University, Nashville (T.L.E.)
- Medicine/Epidemiology, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN (T.L.E.)
- Department of Surgery, Corporal Michael Crescenz VA Medical Center and Perelman School of Medicine, University of Pennsylvania, Philadelphia (S.M.D.)
- Internal Medicine, VA Atlanta Healthcare System, Decatur, GA (P.W.F.W.)
- Emory University School of Medicine (Cardiology), Emory University, Atlanta, GA (P.W.F.W.)
- Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (T.A.G.)
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK (M.I., J.D., A.S.B., A.M.W., E.D.A.)
- The Alan Turing Institute, London, UK (M.I.)
- Computational Medicine, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Germany (C.L.)
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK (J.D.)
- Division of Nephrology & Hypertension, Department of Medicine, Tennessee Valley Health Care System and Vanderbilt University Medical Center, Nashville (A.M.H.)
- Cambridge Centre for AI in Medicine, UK (A.M.W.)
- Health Data Science Centre, Human Technopole, Milan, Italy (E.D.A.)
| | - Dafina Petrova
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain (P.A., A.G.d.l.C., D.P., C. Santiuste)
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain (D.P.)
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain (D.P.)
| | | | - Annika Rosengren
- Institute of Medicine, Department of Molecular and Clinical Medicine (P.-O.H., A.R.), Sahlgrenska Academy, University of Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Medicine Geriatrics and Emergency Medicine/Östra, Gothenburg, Sweden (P.-O.H., A.R.)
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy (C. Sacerdote)
| | - Masaru Sakurai
- Department of Social and Environmental Medicine, Kanazawa Medical University, Uchinada, Japan (M.S.)
| | - Carmen Santiuste
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain (P.A., A.G.d.l.C., D.P., C. Santiuste)
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Spain (C. Santiuste)
| | - Matthias B. Schulze
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany (M.B.S.)
- German Center for Diabetes Research (DZD), Neuherberg, Germany (M.B.S.)
- Institute of Nutritional Science, University of Potsdam, Germany (M.B.S.)
| | - Sabina Sieri
- Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy (S.S.)
| | - Johan Sundström
- Department of Medical Sciences, Uppsala University, Sweden (J.S.)
| | | | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark (C.K., A.T.)
- Department of Public Health (A.T.), University of Copenhagen, Denmark
| | - Tammy Tong
- Cancer Epidemiology Unit (T.T.), Nuffield Department of Population Health, University of Oxford, UK
| | - Rosario Tumino
- Hyblean Association for Epidemiological Reserach AIRE - ONLUS, Ragusa, Italy (R.T.)
| | - Ioanna Tzoulaki
- School of Public Health (A.K.H., I.T., E.R.), Imperial College London, UK
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands (C.O.-M., Y.T.v.d.S., W.M.M.V.)
| | - W.M. Monique Verschuren
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (J.M.A.B., W.M.M.V.)
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands (C.O.-M., Y.T.v.d.S., W.M.M.V.)
| | - Henry Völzke
- Universitätsmedizin Greifswald, Institut für Community Medicine, Abteilung SHIP/ Klinisch-Epidemiologische Forschung, Germany (H.V.)
| | | | | | - Elisabete Weiderpass
- International Agency for Research on Cancer (IARC), World Health Organization, Lyon, France (H.F., E.W.)
| | - Peter Willeit
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Clinical Epidemiology Team, Institute of Health Economics, Medical University of Innsbruck, Innsbruck, Austria (S.K., P.W.)
| | - Mark Woodward
- The George Institute for Global Health, Camperdown, NSW, Australia (M.W.)
| | - Kazumasa Yamagishi
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, Japan (K.Y.)
| | - Raul Zamora-Ros
- Unit of Nutrition and Cancer, Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat (Barcelona), Spain (R.Z.-R.)
| | - Elvis A. Akwo
- Division of Nephrology, Department of Medicine (C.R.-C., E.A.A.), Vanderbilt University Medical Center, Nashville, TN
| | - Saiju Pyarajan
- Division of Aging (K.C., S.P., J.P.C. J.M.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Center for Data and Computational Sciences, VA Boston Healthcare System, Boston, MA (S.P.)
| | - David R. Gagnon
- Department of Biostatistics, Boston University School of Public Health, MA (D.R.G.)
| | - Philip S. Tsao
- VA Pal Alto Epidemiology Research and Information Center for Genomics, VA Palo Alto Health Care System, CA (P.S.T.)
- Medicine (Cardiovascular Medicine), Stanford University of School of Medicine, CA (P.S.T.)
| | - Sumitra Muralidhar
- Office of Research and Development, Veterans Health Administration, Washington, DC (S.M.)
| | - Todd L. Edwards
- Department of Veterans Affairs, Tennessee Valley Health Care System, Vanderbilt University, Nashville (T.L.E.)
- Medicine/Epidemiology, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN (T.L.E.)
| | - Scott M. Damrauer
- Department of Surgery, Corporal Michael Crescenz VA Medical Center and Perelman School of Medicine, University of Pennsylvania, Philadelphia (S.M.D.)
| | - Jacob Joseph
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- Division of Cardiovascular Medicine (J.J., T.A.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Lisa Pennells
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - Peter W.F. Wilson
- Internal Medicine, VA Atlanta Healthcare System, Decatur, GA (P.W.F.W.)
- Emory University School of Medicine (Cardiology), Emory University, Atlanta, GA (P.W.F.W.)
| | - Seamus Harrison
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - Thomas A. Gaziano
- Division of Cardiovascular Medicine (J.J., T.A.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (T.A.G.)
| | - Michael Inouye
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia (E.L.M.B., M.I.)
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK (M.I., J.D., A.S.B., A.M.W., E.D.A.)
- The Alan Turing Institute, London, UK (M.I.)
| | - Colin Baigent
- Institute of Medicine, School of Public Health and Community Medicine (C.B.), Sahlgrenska Academy, University of Gothenburg, Sweden
| | - Juan P. Casas
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- Division of Aging (K.C., S.P., J.P.C. J.M.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Claudia Langenberg
- MRC Epidemiology Unit, School of Clinical Medicine (C.L., N.W.), University of Cambridge, UK
- Computational Medicine, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Germany (C.L.)
| | - Nick Wareham
- MRC Epidemiology Unit, School of Clinical Medicine (C.L., N.W.), University of Cambridge, UK
| | - Elio Riboli
- The George Institute for Global Health (M.W.), Imperial College London, UK
| | - J.Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- Division of Aging (K.C., S.P., J.P.C. J.M.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - John Danesh
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK (M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK (J.D.)
| | - Adriana M. Hung
- Division of Nephrology & Hypertension, Department of Medicine, Tennessee Valley Health Care System and Vanderbilt University Medical Center, Nashville (A.M.H.)
| | - Adam S. Butterworth
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK (M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - Angela M. Wood
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK (M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Cambridge Centre for AI in Medicine, UK (A.M.W.)
| | - Emanuele Di Angelantonio
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK (M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Health Data Science Centre, Human Technopole, Milan, Italy (E.D.A.)
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29
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Fortuin-de Smidt MC, Sewe MO, Lassale C, Weiderpass E, Andersson J, Huerta JM, Ekelund U, Aleksandrova K, Tong TY, Dahm CC, Tjønneland A, Kyrø C, Steindorf K, Schulze MB, Katzke V, Sacerdote C, Agnoli C, Masala G, Tumino R, Panico S, Boer JM, Onland-Moret NC, Wendel-Vos GW, van der Schouw YT, Borch KB, Agudo A, Petrova D, Chirlaque MD, Conchi MI, Amiano P, Melander O, Heath AK, Aune D, Forouhi NG, Langenberg C, Brage S, Riboli E, Wareham NJ, Danesh J, Butterworth AS, Wennberg P. Physical activity attenuates but does not eliminate coronary heart disease risk amongst adults with risk factors: EPIC-CVD case-cohort study. Eur J Prev Cardiol 2022; 29:1618-1629. [PMID: 35403197 DOI: 10.1093/eurjpc/zwac055] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 03/09/2022] [Accepted: 03/10/2022] [Indexed: 02/02/2023]
Abstract
AIMS This study aimed to evaluate the association between physical activity and the incidence of coronary heart disease (CHD) in individuals with and without CHD risk factors. METHODS AND RESULTS EPIC-CVD is a case-cohort study of 29 333 participants that included 13 582 incident CHD cases and a randomly selected sub-cohort nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Self-reported physical activity was summarized using the Cambridge physical activity index (inactive, moderately inactive, moderately active, and active). Participants were categorized into sub-groups based on the presence or the absence of the following risk factors: obesity (body mass index ≥30 kg/m2), hypercholesterolaemia (total cholesterol ≥6.2 mmol/L), history of diabetes, hypertension (self-reported or ≥140/90 mmHg), and current smoking. Prentice-weighted Cox regression was used to assess the association between physical activity and incident CHD events (non-fatal and fatal).Compared to inactive participants without the respective CHD risk factor (referent), excess CHD risk was highest in physically inactive and lowest in moderately active participants with CHD risk factors. Corresponding excess CHD risk estimates amongst those with obesity were 47% [95% confidence interval (CI) 32-64%] and 21% (95%CI 2-44%), with hypercholesterolaemia were 80% (95%CI 55-108%) and 48% (95%CI 22-81%), with hypertension were 80% (95%CI 65-96%) and 49% (95%CI 28-74%), with diabetes were 142% (95%CI 63-260%), and 100% (95%CI 32-204%), and amongst smokers were 152% (95%CI 122-186%) and 109% (95%CI 74-150%). CONCLUSIONS In people with CHD risk factors, moderate physical activity, equivalent to 40 mins of walking per day, attenuates but does not completely offset CHD risk.
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Affiliation(s)
- Melony C Fortuin-de Smidt
- Department of Public Health and Clinical Medicine, Umeå University, Universitetstorget 4, 901 87, Umeå, Sweden
| | - Maquins Odhiambo Sewe
- Department of Public Health and Clinical Medicine, Umeå University, Universitetstorget 4, 901 87, Umeå, Sweden
| | - Camille Lassale
- Cardiovascular epidemiology and genetics, Hospital del Mar Research Institute (IMIM), Carrer del Dr. Aiguader, 88, 08003, Barcelona, Spain
- CIBER of Pathophysiology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III, C. de Melchor Fernández Almagro, 3, 28029 Madrid, Spain
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, 150 Cours Albert Thomas, 69372, Lyon, France
| | - Jonas Andersson
- Department of Public Health and Clinical Medicine, Skellefteå Research Unit, Umeå University, Lasarettsvägen 29, 931 41, Skellefteå, Sweden
| | - José María Huerta
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, 30120 El Palmar, Murcia, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C. de Melchor Fernández Almagro, 3, 28029 Madrid, Spain
| | - Ulf Ekelund
- Department of Sports Medicine, Norwegian School of Sport Science, Sognsveien 220, 0863 Oslo, Norway
- Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, Lovisenberggata 8, 0456, Oslo, Norway
| | - Krasimira Aleksandrova
- Department Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstraße 30, 28359, Bremen, Germany
- Faculty of Human and Health Sciences, University of Bremen, Grazer Straße 2, 28359, Bremen, Germany
| | - Tammy Yn Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford OX3 7LF, United Kingdom
| | - Christina C Dahm
- Department of Public Health, Aarhus University, Bartholins Allé 2, 8000, Aarhus, Denmark
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, 1353, Copenhagen, Denmark
| | - Cecilie Kyrø
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Karen Steindorf
- Division of Physical Activity, Prevention and Cancer, German Cancer Research Center (DKFZ) Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany
- Institute for Nutritional Science, University of Potsdam, Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Via Santena 7, 10126, Turin, Italy
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Via Cosimo II Vecchio 2, 50139, Florence, Italy
| | - Rosario Tumino
- Hyblean Association for Epidemiological Research, AIRE-ONLUS, Via Giuseppe di Vittoria 49, 97100, Ragusa, Italy
| | - Salvatore Panico
- Dipartimento di medicina clinica e chirurgia, Federico II University, Corso Umberto I 40, 80138, Naples, Italy
| | - Jolanda Ma Boer
- National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, The Netherlands
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Gc Wanda Wendel-Vos
- National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, The Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Kristin Benjaminsen Borch
- Department of Community Medicine, UiT, The Arctic University of Norway, Hansine Hansens veg 18, 9019, Tromsø, Norway
| | - Antonio Agudo
- Unit of Nutrition and Cancer, Catalan Institute of Oncology - ICO, L'Hospitalet de Llobregat, Avinguda de la Granvia de l'Hospitalet, 199-203, 08908, Barcelona, Spain
- Nutrition and Cancer Group; Epidemiology, Public Health, Cancer Prevention and Palliative Care Program; Bellvitge Biomedical Research Institute - IDIBELL, L'Hospitalet de Llobregat, Avinguda de la Granvia de l'Hospitalet, 199, 08908, Barcelona, Spain
| | - Dafina Petrova
- Escuela Andaluza de Salud Pública (EASP), Cta. del Observatorio 4,18011 Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Av. De Madrid 15, 18012 Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), C/ Montforte de Lemos 3-5, 28029 Madrid, Spain
| | - María Dolores Chirlaque
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, 30120 El Palmar, Murcia, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C. de Melchor Fernández Almagro, 3, 28029 Madrid, Spain
| | - Moreno Iribas Conchi
- Navarra Public Health Institute, IdiSNA, C. de Irunlarrea, 3, 31008, Pamplona, Spain
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), C. de Irunlarrea, 3, 31008 Pamplona, Spain
| | - Pilar Amiano
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C. de Melchor Fernández Almagro, 3, 28029 Madrid, Spain
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, 20013 San Sebastian, Spain
- Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, Paseo Dr Bergiristain, s/n, 20014, San Sebastián, Spain
| | - Olle Melander
- Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms gata 35, Malmö, Sweden
- Department of Emergency and Internal Medicine, Skåne University Hospital, Carl-Bertil Laurells gata 9, 214 28, Malmö, Sweden
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London W2 1PG, United Kingdom
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London W2 1PG, United Kingdom
- Department of Nutrition, Bjørknes University College, Lovisenberggata 13, 0456, Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Trondheimsveien 235, 0586, Oslo, Norway
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 6, 171 77, Stockholm, Sweden
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
- Computational Medicine, Berlin Institute of Health, Charité-University Medicine Berlin, Anna-Louisa-Karsch-Straße 2, 10178, Berlin, Germany
| | - Soren Brage
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London W2 1PG, United Kingdom
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - John Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, 2 Worts's Causeway, Cambridge CB1 8RN, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, 2 Worts's Causeway, Cambridge CB1 8RN, United Kingdom
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Hills Road, Cambridge CB2 0QQ, United Kingdom
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Saffron Walden CB10 1SA, United Kingdom
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, United Kingdom
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, 2 Worts's Causeway, Cambridge CB1 8RN, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, 2 Worts's Causeway, Cambridge CB1 8RN, United Kingdom
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Hills Road, Cambridge CB2 0QQ, United Kingdom
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Saffron Walden CB10 1SA, United Kingdom
| | - Patrik Wennberg
- Department of Public Health and Clinical Medicine, Umeå University, Universitetstorget 4, 901 87, Umeå, Sweden
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30
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Bereziartua A, Chen J, de Hoogh K, Rodopoulou S, Andersen ZJ, Bellander T, Brandt J, Fecht D, Forastiere F, Gulliver J, Hertel O, Hoffmann B, Arthur Hvidtfeldt U, Verschuren WMM, Jöckel KH, Jørgensen JT, Katsouyanni K, Ketzel M, Hjertager Krog N, Brynedal B, Leander K, Liu S, Ljungman P, Faure E, Magnusson PKE, Nagel G, Pershagen G, Peters A, Raaschou-Nielsen O, Renzi M, Rizzuto D, Samoli E, van der Schouw YT, Schramm S, Severi G, Stafoggia M, Strak M, Sørensen M, Tjønneland A, Weinmayr G, Wolf K, Zitt E, Brunekreef B, Hoek G. Exposure to surrounding greenness and natural-cause and cause-specific mortality in the ELAPSE pooled cohort. Environ Int 2022; 166:107341. [PMID: 35717714 DOI: 10.1016/j.envint.2022.107341] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 04/28/2022] [Accepted: 06/08/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND The majority of studies have shown higher greenness exposure associated with reduced mortality risks, but few controlled for spatially correlated air pollution and traffic noise exposures. We aim to address this research gap in the ELAPSE pooled cohort. METHODS Mean Normalized Difference Vegetation Index (NDVI) in a 300-m grid cell and 1-km radius were assigned to participants' baseline home addresses as a measure of surrounding greenness exposure. We used Cox proportional hazards models to estimate the association of NDVI exposure with natural-cause and cause-specific mortality, adjusting for a number of potential confounders including socioeconomic status and lifestyle factors at individual and area-levels. We further assessed the associations between greenness exposure and mortality after adjusting for fine particulate matter (PM2.5), nitrogen dioxide (NO2) and road traffic noise. RESULTS The pooled study population comprised 327,388 individuals who experienced 47,179 natural-cause deaths during 6,374,370 person-years of follow-up. The mean NDVI in the pooled cohort was 0.33 (SD 0.1) and 0.34 (SD 0.1) in the 300-m grid and 1-km buffer. In the main fully adjusted model, 0.1 unit increment of NDVI inside 300-m grid was associated with 5% lower risk of natural-cause mortality (Hazard Ratio (HR) 0.95 (95% CI: 0.94, 0.96)). The associations attenuated after adjustment for air pollution [HR (95% CI): 0.97 (0.96, 0.98) adjusted for PM2.5; 0.98 (0.96, 0.99) adjusted for NO2]. Additional adjustment for traffic noise hardly affected the associations. Consistent results were observed for NDVI within 1-km buffer. After adjustment for air pollution, NDVI was inversely associated with diabetes, respiratory and lung cancer mortality, yet with wider 95% confidence intervals. No association with cardiovascular mortality was found. CONCLUSIONS We found a significant inverse association between surrounding greenness and natural-cause mortality, which remained after adjusting for spatially correlated air pollution and traffic noise.
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Affiliation(s)
- Ainhoa Bereziartua
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
| | - Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
| | - Sophia Rodopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
| | - Zorana J Andersen
- Section of Environment and Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden.
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate - interdisciplinary Center for Climate Change, Aarhus University, Denmark.
| | - Daniela Fecht
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
| | - Francesco Forastiere
- Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Rome, Italy; School of Public Health, Faculty of Medicine, Imperial College London, London, UK.
| | - John Gulliver
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; Centre for Environmental Health and Sustainability & School of Geography, Geology and the Environment, University of Leicester, Leicester, UK.
| | - Ole Hertel
- Department of Ecoscience, Aarhus University, Roskilde, Denmark.
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Germany.
| | | | - W M Monique Verschuren
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands and Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany.
| | - Jeanette T Jørgensen
- Section of Environment and Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece; Environmental Research Group, School of Public Health, Imperial College London, London, UK.
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford GU2 7XH, United Kingdom.
| | - Norun Hjertager Krog
- Section of Air Pollution and Noise, Norwegian Institute of Public Health, Norway.
| | - Boel Brynedal
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
| | - Shuo Liu
- Section of Environment and Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Petter Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden.
| | - Elodie Faure
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" team, CESP UMR1018, 94805 Villejuif, France.
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden.
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany; Chair of Epidemiology, Ludwig Maximilians Universität München, Munich, Germany.
| | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark.
| | - Matteo Renzi
- Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Rome, Italy.
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden.
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
| | - Sara Schramm
- Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, University Hospital Essen, Germany.
| | - Gianluca Severi
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" team, CESP UMR1018, 94805 Villejuif, France; Department of Statistics, Computer Science and Applications "G. Parenti" (DISIA), University of Florence, Italy.
| | - Massimo Stafoggia
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Rome, Italy.
| | - Maciej Strak
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands; National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
| | - Mette Sørensen
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark.
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark; Diet, Genes and Environment (DGE), Denmark.
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.
| | - Emanuel Zitt
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria; Department of Internal Medicine 3, LKH Feldkirch, Feldkirch, Austria.
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
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Verdiesen RM, von Berg J, Said MA, van der Harst P, Mahajan A, van Gils CH, van der Schouw YT, Onland-Moret NC. Anti-Müllerian Hormone and Cardiometabolic Disease in Women: A Two-Sample Mendelian Randomization Study. Rev Cardiovasc Med 2022. [DOI: 10.31083/j.rcm2308269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
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32
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Ties D, van der Ende YM, Pundziute G, van der Schouw YT, Bots ML, Xia C, van Ooijen PMA, Pelgrim GJ, Vliegenthart R, van der Harst P. Pre-screening to guide coronary artery calcium scoring for early identification of high-risk individuals in the general population. Eur Heart J Cardiovasc Imaging 2022; 24:27-35. [PMID: 35851802 PMCID: PMC9762935 DOI: 10.1093/ehjci/jeac137] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 06/24/2022] [Accepted: 07/02/2022] [Indexed: 12/24/2022] Open
Abstract
AIMS To evaluate the ability of Systematic COronary Risk Estimation 2 (SCORE2) and other pre-screening methods to identify individuals with high coronary artery calcium score (CACS) in the general population. METHODS AND RESULTS Computed tomography-based CACS quantification was performed in 6530 individuals aged 45 years or older from the general population. Various pre-screening methods to guide referral for CACS were evaluated. Miss rates for high CACS (CACS ≥300 and ≥100) were evaluated for various pre-screening methods: moderate (≥5%) and high (≥10%) SCORE2 risk, any traditional coronary artery disease (CAD) risk factor, any Risk Or Benefit IN Screening for CArdiovascular Disease (ROBINSCA) risk factor, and moderately (>3 mg/24 h) increased urine albumin excretion (UAE). Out of 6530 participants, 643 (9.8%) had CACS ≥300 and 1236 (18.9%) had CACS ≥100. For CACS ≥300 and CACS ≥100, miss rate was 32 and 41% for pre-screening by moderate (≥5%) SCORE2 risk and 81 and 87% for high (≥10%) SCORE2 risk, respectively. For CACS ≥300 and CACS ≥100, miss rate was 8 and 11% for pre-screening by at least one CAD risk factor, 24 and 25% for at least one ROBINSCA risk factor, and 67 and 67% for moderately increased UAE, respectively. CONCLUSION Many individuals with high CACS in the general population are left unidentified when only performing CACS in case of at least moderate (≥5%) SCORE2, which closely resembles current clinical practice. Less stringent pre-screening by presence of at least one CAD risk factor to guide CACS identifies more individuals with high CACS and could improve CAD prevention.
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Affiliation(s)
- Daan Ties
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Yldau M van der Ende
- Department of Cardiology, Division of Heart and Lungs, Utrecht University, University Medical Center Utrecht, PO Box 85500, 3508 GA Utrecht, The Netherlands
| | - Gabija Pundziute
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, Utrecht University, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Michiel L Bots
- Julius Center for Health Sciences and Primary Care, Utrecht University, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Congying Xia
- Department of Radiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Peter M A van Ooijen
- Department of Radiation Oncology and Data Science Center in Health, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Gert Jan Pelgrim
- Department of Radiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Rozemarijn Vliegenthart
- Department of Radiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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33
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Chen J, Hoek G, de Hoogh K, Rodopoulou S, Andersen ZJ, Bellander T, Brandt J, Fecht D, Forastiere F, Gulliver J, Hertel O, Hoffmann B, Hvidtfeldt UA, Verschuren WMM, Jöckel KH, Jørgensen JT, Katsouyanni K, Ketzel M, Méndez DY, Leander K, Liu S, Ljungman P, Faure E, Magnusson PKE, Nagel G, Pershagen G, Peters A, Raaschou-Nielsen O, Rizzuto D, Samoli E, van der Schouw YT, Schramm S, Severi G, Stafoggia M, Strak M, Sørensen M, Tjønneland A, Weinmayr G, Wolf K, Zitt E, Brunekreef B, Thurston GD. Long-Term Exposure to Source-Specific Fine Particles and Mortality─A Pooled Analysis of 14 European Cohorts within the ELAPSE Project. Environ Sci Technol 2022; 56:9277-9290. [PMID: 35737879 PMCID: PMC9261290 DOI: 10.1021/acs.est.2c01912] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 05/30/2022] [Accepted: 06/07/2022] [Indexed: 06/15/2023]
Abstract
We assessed mortality risks associated with source-specific fine particles (PM2.5) in a pooled European cohort of 323,782 participants. Cox proportional hazard models were applied to estimate mortality hazard ratios (HRs) for source-specific PM2.5 identified through a source apportionment analysis. Exposure to 2010 annual average concentrations of source-specific PM2.5 components was assessed at baseline residential addresses. The source apportionment resulted in the identification of five sources: traffic, residual oil combustion, soil, biomass and agriculture, and industry. In single-source analysis, all identified sources were significantly positively associated with increased natural mortality risks. In multisource analysis, associations with all sources attenuated but remained statistically significant with traffic, oil, and biomass and agriculture. The highest association per interquartile increase was observed for the traffic component (HR: 1.06; 95% CI: 1.04 and 1.08 per 2.86 μg/m3 increase) across five identified sources. On a 1 μg/m3 basis, the residual oil-related PM2.5 had the strongest association (HR: 1.13; 95% CI: 1.05 and 1.22), which was substantially higher than that for generic PM2.5 mass, suggesting that past estimates using the generic PM2.5 exposure response function have underestimated the potential clean air health benefits of reducing fossil-fuel combustion. Source-specific associations with cause-specific mortality were in general consistent with findings of natural mortality.
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Affiliation(s)
- Jie Chen
- Institute
for Risk Assessment Sciences (IRAS), Utrecht
University, 3584 CM Utrecht, The Netherlands
| | - Gerard Hoek
- Institute
for Risk Assessment Sciences (IRAS), Utrecht
University, 3584 CM Utrecht, The Netherlands
| | - Kees de Hoogh
- Swiss
Tropical and Public Health Institute, 4051 Basel, Switzerland
- University
of Basel, 4001 Basel, Switzerland
| | - Sophia Rodopoulou
- Department
of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, 115 27 Athens, Greece
| | - Zorana J. Andersen
- Section
of Environment and Health, Department of Public Health, University of Copenhagen, 1165 Copenhagen, Denmark
| | - Tom Bellander
- Institute
of Environmental Medicine, Karolinska Institutet, SE-171 77 Stockholm, Sweden
- Centre
for Occupational and Environmental Medicine, Region Stockholm, 113 65 Stockholm, Sweden
| | - Jørgen Brandt
- Department
of Environmental Science, Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark
- iClimate—Interdisciplinary
Center for Climate Change, Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark
| | - Daniela Fecht
- MRC
Centre for Environment and Health, School of Public Health, Imperial College London, Norfolk Place, W2
1PG London, U.K.
| | - Francesco Forastiere
- Department of Epidemiology, Lazio Region
Health Service, ASL Roma
1, 00147 Rome, Italy
- Environmental Research Group, School of
Public Health, Imperial College London, W2 1PG London, U.K.
| | - John Gulliver
- MRC
Centre for Environment and Health, School of Public Health, Imperial College London, Norfolk Place, W2
1PG London, U.K.
- Centre for Environmental Health and Sustainability
& School of
Geography, Geology and the Environment, University of Leicester, LE1 7RH Leicester, U.K.
| | - Ole Hertel
- Department of Ecoscience, Aarhus
University, 4000 Roskilde, Denmark
| | - Barbara Hoffmann
- Institute
for Occupational, Social and Environmental Medicine, Centre
for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, 40001 Düsseldorf, Germany
| | | | - W. M. Monique Verschuren
- National Institute for Public Health and
the Environment, 3720 BA Bilthoven, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, 3584 CG Utrecht, the Netherlands
| | - Karl-Heinz Jöckel
- Institute for Medical
Informatics, Biometry and Epidemiology, Medical
Faculty, University of Duisburg-Essen, 45259 Essen, Germany
| | - Jeanette T. Jørgensen
- Section
of Environment and Health, Department of Public Health, University of Copenhagen, 1165 Copenhagen, Denmark
| | - Klea Katsouyanni
- Department
of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, 115 27 Athens, Greece
- Environmental Research Group, School of
Public Health, Imperial College London, W2 1PG London, U.K.
| | - Matthias Ketzel
- Department
of Environmental Science, Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark
- Global Centre for Clean Air Research (GCARE), University of Surrey, GU2
7XH Guildford, United Kingdom
| | - Diego Yacamán Méndez
- Department of Global Public Health, Karolinska Institutet, 171 77 Stockholm, Sweden
- Centre for Epidemiology and Community Medicine, Region Stockholm, 113 65 Stockholm, Sweden
| | - Karin Leander
- Institute
of Environmental Medicine, Karolinska Institutet, SE-171 77 Stockholm, Sweden
| | - Shuo Liu
- Section
of Environment and Health, Department of Public Health, University of Copenhagen, 1165 Copenhagen, Denmark
| | - Petter Ljungman
- Institute
of Environmental Medicine, Karolinska Institutet, SE-171 77 Stockholm, Sweden
- Department of Cardiology, Danderyd
University
Hospital, 182 88 Stockholm, Sweden
| | - Elodie Faure
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy,
“Exposome and Heredity” Team, CESP UMR1018, 94805 Villejuif, France
| | - Patrik K. E. Magnusson
- Department of Medical Epidemiology and
Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Gabriele Nagel
- Institute
of Epidemiology and Medical Biometry, Ulm
University, Helmholtzstrasse 22, 89081 Ulm, Germany
| | - Göran Pershagen
- Institute
of Environmental Medicine, Karolinska Institutet, SE-171 77 Stockholm, Sweden
- Centre
for Occupational and Environmental Medicine, Region Stockholm, 113 65 Stockholm, Sweden
| | - Annette Peters
- Institute
of Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Chair of Epidemiology, Ludwig
Maximilians Universität München, 81377 Munich, Germany
| | - Ole Raaschou-Nielsen
- Department
of Environmental Science, Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark
- Danish
Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences,
and Society, Karolinska Institutet and Stockholm
University, 171 77 Stockholm, Sweden
| | - Evangelia Samoli
- Department
of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, 115 27 Athens, Greece
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, 3584 CG Utrecht, the Netherlands
| | - Sara Schramm
- Institute for Medical
Informatics, Biometry and Epidemiology, Medical
Faculty, University of Duisburg-Essen, 45259 Essen, Germany
| | - Gianluca Severi
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy,
“Exposome and Heredity” Team, CESP UMR1018, 94805 Villejuif, France
- Department of Statistics, Computer Science and Applications
“G. Parenti” (DISIA), University
of Florence, 50121 Firenze FI, Italy
| | - Massimo Stafoggia
- Institute
of Environmental Medicine, Karolinska Institutet, SE-171 77 Stockholm, Sweden
- Department of Epidemiology, Lazio Region
Health Service, ASL Roma
1, 00147 Rome, Italy
| | - Maciej Strak
- Institute
for Risk Assessment Sciences (IRAS), Utrecht
University, 3584 CM Utrecht, The Netherlands
- National Institute for Public Health and
the Environment, 3720 BA Bilthoven, The Netherlands
| | - Mette Sørensen
- Danish
Cancer Society Research Center, 2100 Copenhagen, Denmark
- Department of Natural Science and Environment, Roskilde University, 4000 Roskilde, Denmark
| | - Anne Tjønneland
- Section
of Environment and Health, Department of Public Health, University of Copenhagen, 1165 Copenhagen, Denmark
- Danish
Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Gudrun Weinmayr
- Institute
of Epidemiology and Medical Biometry, Ulm
University, Helmholtzstrasse 22, 89081 Ulm, Germany
| | - Kathrin Wolf
- Institute
of Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Emanuel Zitt
- Agency for Preventive and Social Medicine (aks), 6900 Bregenz, Austria
- Department of Internal Medicine 3, LKH Feldkirch, 6800 Feldkirch, Austria
| | - Bert Brunekreef
- Institute
for Risk Assessment Sciences (IRAS), Utrecht
University, 3584 CM Utrecht, The Netherlands
| | - George D. Thurston
- Departments of Environmental Medicine and
Population
Health, New York University Grossman School
of Medicine, New York, 10010-2598 New York, United States
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34
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Stuber JM, Mackenbach JD, de Boer FE, de Bruijn GJ, Gillebaart M, Harbers MC, Hoenink JC, Klein MCA, Middel CNH, van der Schouw YT, Schuitmaker-Warnaar TJ, Velema E, Vos AL, Waterlander WE, Lakerveld J, Beulens JWJ. Correction: Reducing cardiometabolic risk in adults with a low socioeconomic position: protocol of the Supreme Nudge parallel cluster-randomised controlled supermarket trial. Nutr J 2022; 21:44. [PMID: 35764992 PMCID: PMC9238004 DOI: 10.1186/s12937-022-00795-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Affiliation(s)
- Josine M Stuber
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, VU University Amsterdam, De Boelelaan 1089a, 1081, HV, Amsterdam, the Netherlands. .,Upstream Team, www.upstreamteam.nl, Amsterdam UMC, VU University Amsterdam, Amsterdam, the Netherlands.
| | - Joreintje D Mackenbach
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, VU University Amsterdam, De Boelelaan 1089a, 1081, HV, Amsterdam, the Netherlands.,Upstream Team, www.upstreamteam.nl, Amsterdam UMC, VU University Amsterdam, Amsterdam, the Netherlands
| | - Femke E de Boer
- Department of Social, Health and Organizational Psychology, Utrecht University, Utrecht, the Netherlands
| | - Gert-Jan de Bruijn
- Department of Communication Science, University of Antwerp, St-Jacobstraat 2, 2000, Antwerpen, Belgium
| | - Marleen Gillebaart
- Department of Social, Health and Organizational Psychology, Utrecht University, Utrecht, the Netherlands
| | - Marjolein C Harbers
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Jody C Hoenink
- Centre for Diet and Activity Research, MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, CB2 0QQ, UK
| | - Michel C A Klein
- Social AI Group, Department of Computer Science, VU University Amsterdam, Amsterdam, the Netherlands
| | - Cédric N H Middel
- Athena Institute, Faculty of Science, VU University, Amsterdam, The Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | | | - Elizabeth Velema
- Netherlands Nutrition Centre (Voedingscentrum), The Hague, The Netherlands
| | - Anne L Vos
- Amsterdam School of Communication Research ASCoR, University of Amsterdam, Amsterdam, the Netherlands
| | - Wilma E Waterlander
- Department of Public Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Jeroen Lakerveld
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, VU University Amsterdam, De Boelelaan 1089a, 1081, HV, Amsterdam, the Netherlands.,Upstream Team, www.upstreamteam.nl, Amsterdam UMC, VU University Amsterdam, Amsterdam, the Netherlands.,Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Joline W J Beulens
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, VU University Amsterdam, De Boelelaan 1089a, 1081, HV, Amsterdam, the Netherlands.,Upstream Team, www.upstreamteam.nl, Amsterdam UMC, VU University Amsterdam, Amsterdam, the Netherlands.,Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
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35
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Liang C, Chung HF, Dobson AJ, Hayashi K, van der Schouw YT, Kuh D, Hardy R, Derby CA, El Khoudary SR, Janssen I, Sandin S, Weiderpass E, Mishra GD. Infertility, recurrent pregnancy loss, and risk of stroke: pooled analysis of individual patient data of 618 851 women. BMJ 2022; 377:e070603. [PMID: 35732311 PMCID: PMC9214882 DOI: 10.1136/bmj-2022-070603] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/04/2022] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To examine the associations of infertility, recurrent miscarriage, and stillbirth with the risk of first non-fatal and fatal stroke, further stratified by stroke subtypes. DESIGN Individual participant pooled analysis of eight prospective cohort studies. SETTING Cohort studies across seven countries (Australia, China, Japan, Netherlands, Sweden, the United Kingdom, and the United States) participating in the InterLACE (International Collaboration for a Life Course Approach to Reproductive Health and Chronic Disease Events) consortium, which was established in June 2012. PARTICIPANTS 618 851 women aged 32.0-73.0 years at baseline with data on infertility, miscarriage, or stillbirth, at least one outcome event (non-fatal or fatal stroke), and information on covariates were included; 93 119 women were excluded. Of the participants, 275 863 had data on non-fatal and fatal stroke, 54 716 only had data on non-fatal stroke, and 288 272 only had data on fatal stroke. MAIN OUTCOME AND MEASURES Non-fatal strokes were identified through self-reported questionnaires, linked hospital data, or national patient registers. Fatal strokes were identified through death registry data. RESULTS The median follow-up for non-fatal stroke and fatal stroke was 13.0 years (interquartile range 12.0-14.0) and 9.4 years (7.6-13.0), respectively. A first non-fatal stroke was experienced by 9265 (2.8%) women and 4003 (0.7%) experienced a fatal stroke. Hazard ratios for non-fatal or fatal stroke were stratified by hypertension and adjusted for race or ethnicity, body mass index, smoking status, education level, and study. Infertility was associated with an increased risk of non-fatal stroke (hazard ratio 1.14, 95% confidence interval 1.08 to 1.20). Recurrent miscarriage (at least three) was associated with higher risk of non-fatal and fatal stroke (1.35, 1.27 to 1.44, and 1.82, 1.58 to 2.10, respectively). Women with stillbirth were at 31% higher risk of non-fatal stroke (1.31, 1.10 to 1.57) and women with recurrent stillbirth were at 26% higher risk of fatal stroke (1.26, 1.15 to 1.39). The increased risk of stroke (non-fatal or fatal) associated with infertility or recurrent stillbirths was mainly driven by a single stroke subtype (non-fatal ischaemic stroke and fatal haemorrhagic stroke), while the increased risk of stroke (non-fatal or fatal) associated with recurrent miscarriages was driven by both subtypes. CONCLUSION A history of recurrent miscarriages and death or loss of a baby before or during birth could be considered a female specific risk factor for stroke, with differences in risk according to stroke subtypes. These findings could contribute to improved monitoring and stroke prevention for women with such a history.
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Affiliation(s)
- Chen Liang
- University of Queensland, School of Public Health, Queensland, Australia
| | - Hsin-Fang Chung
- University of Queensland, School of Public Health, Queensland, Australia
| | - Annette J Dobson
- University of Queensland, School of Public Health, Queensland, Australia
| | | | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, University Utrecht, Utrecht, Netherlands
| | - Diana Kuh
- Medical Research Council Unit for Lifelong Health and Ageing at UCL, London, UK
| | | | - Carol A Derby
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Samar R El Khoudary
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, PA, USA
| | - Imke Janssen
- Department of Preventive Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Sven Sandin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Gita D Mishra
- University of Queensland, School of Public Health, Queensland, Australia
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36
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Dam V, Onland-Moret NC, Burgess S, Chirlaque MD, Peters SAE, Schuit E, Tikk K, Weiderpass E, Oliver-Williams C, Wood AM, Tjønneland A, Dahm CC, Overvad K, Boutron-Ruault MC, Schulze MB, Trichopoulou A, Ferrari P, Masala G, Krogh V, Tumino R, Matullo G, Panico S, Boer JMA, Verschuren WMM, Waaseth M, Pérez MJS, Amiano P, Imaz L, Moreno-Iribas C, Melander O, Harlid S, Nordendahl M, Wennberg P, Key TJ, Riboli E, Santiuste C, Kaaks R, Katzke V, Langenberg C, Wareham NJ, Schunkert H, Erdmann J, Willenborg C, Hengstenberg C, Kleber ME, Delgado G, März W, Kanoni S, Dedoussis G, Deloukas P, Nikpay M, McPherson R, Scholz M, Teren A, Butterworth AS, van der Schouw YT. Genetically Determined Reproductive Aging and Coronary Heart Disease: A Bidirectional 2-sample Mendelian Randomization. J Clin Endocrinol Metab 2022; 107:e2952-e2961. [PMID: 35306566 PMCID: PMC9202700 DOI: 10.1210/clinem/dgac171] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Indexed: 12/20/2022]
Abstract
BACKGROUND Accelerated reproductive aging, in women indicated by early natural menopause, is associated with increased coronary heart disease (CHD) risk in observational studies. Conversely, an adverse CHD risk profile has been suggested to accelerate menopause. OBJECTIVES To study the direction and evidence for causality of the relationship between reproductive aging and (non-)fatal CHD and CHD risk factors in a bidirectional Mendelian randomization (MR) approach, using age at natural menopause (ANM) genetic variants as a measure for genetically determined reproductive aging in women. We also studied the association of these variants with CHD risk (factors) in men. DESIGN Two-sample MR, using both cohort data as well as summary statistics, with 4 methods: simple and weighted median-based, standard inverse-variance weighted (IVW) regression, and MR-Egger regression. PARTICIPANTS Data from EPIC-CVD and summary statistics from UK Biobank and publicly available genome-wide association studies were pooled for the different analyses. MAIN OUTCOME MEASURES CHD, CHD risk factors, and ANM. RESULTS Across different methods of MR, no association was found between genetically determined reproductive aging and CHD risk in women (relative risk estimateIVW = 0.99; 95% confidence interval (CI), 0.97-1.01), or any of the CHD risk factors. Similarly, no associations were found in men. Neither did the reversed analyses show evidence for an association between CHD (risk factors) and reproductive aging. CONCLUSION Genetically determined reproductive aging is not causally associated with CHD risk (factors) in women, nor were the genetic variants associated in men. We found no evidence for a reverse association in a combined sample of women and men.
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Affiliation(s)
- Veerle Dam
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, GA 3508 Utrecht, the Netherlands
- Netherlands Heart Institute, DG 3501 Utrecht, the Netherlands
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, GA 3508 Utrecht, the Netherlands
| | - Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SR, UK
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Homerton College, Cambridge, UK
| | - Maria-Dolores Chirlaque
- Department of Epidemiology, Regional Health Authority, IMIB-Arrixaca, Murcia University, 30001 Murcia, Spain
- Department of Public Health and Clinical Medicine, Umea University, 901 87 Umea, Sweden
| | - Sanne A E Peters
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, GA 3508 Utrecht, the Netherlands
- The George Institute for Global Health, Imperial College London, London W12 0BZ, UK
| | - Ewoud Schuit
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, GA 3508 Utrecht, the Netherlands
| | - Kaja Tikk
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Centre (DKFZ), 69120 Heidelberg, Germany
- German Cancer Consortium, DKFZ, 69120 Heidelberg, Germany
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, 69372 Lyon, France
| | - Clare Oliver-Williams
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Homerton College, Cambridge, UK
| | - Angela M Wood
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Anne Tjønneland
- Danish Cancer Society Research Center, DK-2100 Copenhagen, Denmark
- Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen, Denmark
| | - Christina C Dahm
- Department of Public Health, Aarhus University, 8000 Aarhus, Denmark
| | - Kim Overvad
- Department of Public Health, Aarhus University, 8000 Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, 9000 Aalborg, Denmark
| | - Marie-Christine Boutron-Ruault
- INSERM, Centre for Research in Epidemiology and Population Health, U1018, Nutrition, Hormones, and Women’s Health Team, Institut Gustave Roussy, 94 805 Villejuif, France
| | - Matthias B Schulze
- Department of Epidemiology, German Institute of Human Nutrition, Potsdam-Rehbruecke, Nuthetal, Germany; Institute of Nutritional Science, University of Potsdam, 14558 Nuthetal, Germany
| | - Antonia Trichopoulou
- Hellenic Health Foundation, 115 27 Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens 115 27, Greece
| | - Pietro Ferrari
- International Agency for Research on Cancer, World Health Organization, 69372 Lyon, France
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network - ISPRO, 50139 Florence, Italy
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, “Civic - M.P. Arezzo” hospital, ASPRagusa, 97100 Ragusa, Italy
| | - Giuseppe Matullo
- Department of Medical Sciences, University of Torino, 10124 Torino, Italy
- Italian Institute for Genomic Medicine–IIGM/HuGeF, 10126 Torino, Italy
| | - Salvatore Panico
- Dipartimento di medicina clinica e chirurgia, Federico II University, 80126 Naples, Italy
| | - Jolanda M A Boer
- National Institute for Public Health and the Environment, 3720 BA Bilthoven, the Netherlands
| | - W M Monique Verschuren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, GA 3508 Utrecht, the Netherlands
- National Institute for Public Health and the Environment, 3720 BA Bilthoven, the Netherlands
| | - Marit Waaseth
- Department of Pharmacy, Faculty of Health Sciences, UiT the Arctic University of Norway, N-9037 Tromsø, Norway
| | - Maria José Sánchez Pérez
- Escuela Andaluza de Salud Pública. Instituto de Investigación Biosanitaria ibs.GRANADA, Universidad de Granada, 18011 Granada, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
| | - Pilar Amiano
- CIBER de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
- Public Health Division of Gipuzkoa, Biodonostia Research Institute, 20014 San Sebastian, Spain
| | - Liher Imaz
- CIBER de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
- Public Health Division of Gipuzkoa, Biodonostia Research Institute, 20014 San Sebastian, Spain
| | - Conchi Moreno-Iribas
- Instituto de Salud Pública de Navarra, IdiSNA, Navarre Institute for Health Research, REDISSEC, 31008, Pamplona, Spain
| | - Olle Melander
- Department of Clinical Sciences, Lund University, SE-221 00 Malmö, Sweden
| | - Sophia Harlid
- Department of Radiation Sciences, Oncology, Umea University, 901 87 Umea, Sweden
| | - Maria Nordendahl
- Department of Public Health and Clinical Medicine, Umea University, 901 87 Umea, Sweden
| | - Patrik Wennberg
- Department of Public Health and Clinical Medicine, Umea University, 901 87 Umea, Sweden
| | - Timothy J Key
- Nuffield Department of Population Health, University of Oxford, OX3 7LF Oxford, England
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, SW7 2AZ London, UK
| | - Carmen Santiuste
- CIBER de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Authority, IMIB-Arrixaca, 30001 Murcia, Spain
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, DKFZ, Foundation under Public Law, D-69120 Heidelberg, Germany
| | - Verena Katzke
- Division of Cancer Epidemiology, DKFZ, Foundation under Public Law, D-69120 Heidelberg, Germany
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, CB2 0SL Cambridge, UK
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, CB2 0SL Cambridge, UK
| | - Heribert Schunkert
- Deutsches Herzzentrum München, Technische Universität München, 80636 Munich, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, 80636 Munich, Germany
| | - Jeanette Erdmann
- Institute for Cardiogenetics, University of Lübeck, 23562 Lübeck, Germany
| | | | - Christian Hengstenberg
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, 1090 Vienna, Austria
| | - Marcus E Kleber
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Graciela Delgado
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Winfried März
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Synlab Academy, Synlab Holding Deutschland GmbH, 68167 Mannheim, Germany
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, 8036 Graz, Austria
| | - Stavroula Kanoni
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 4NS, UK
| | - George Dedoussis
- Department of Nutrition-Dietetics/Harokopio University, 17671 Athens, Greece
| | - Panos Deloukas
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 4NS, UK
- Centre for Genomic Health, Queen Mary University of London, London E1 4NS, UK
- Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Majid Nikpay
- Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, Ottawa, Ontario K1Y 4W7, Canada
| | - Ruth McPherson
- Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, Ottawa, Ontario K1Y 4W7, Canada
| | - Markus Scholz
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, 04107 Leipzig, Germany
- LIFE Research Center for Civilization Diseases, University of Leipzig, 04103 Leipzig, Germany
| | - Andrej Teren
- LIFE Research Center for Civilization Diseases, University of Leipzig, 04103 Leipzig, Germany
- Heart Center Leipzig, 04289 Leipzig, Germany
| | - Adam S Butterworth
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, GA 3508 Utrecht, the Netherlands
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Peluso M, Munnia A, Russo V, Galli A, Pala V, van der Schouw YT, Schulze MB, Weiderpass E, Tumino R, Saieva C, Exezarreta Pilar A, Aune D, Heath AK, Aglago E, Agudo A, Panico S, Petersen KEN, Tjønneland A, Cirera L, Rodriguez-Barranco M, Katzke V, Kaaks R, Ricceri F, Milani L, Vineis P, Sacerdote C. Cruciferous Vegetable Intake and Bulky DNA Damage within Non-Smokers and Former Smokers in the Gen-Air Study (EPIC Cohort). Nutrients 2022; 14:2477. [PMID: 35745207 PMCID: PMC9231287 DOI: 10.3390/nu14122477] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 06/09/2022] [Accepted: 06/13/2022] [Indexed: 02/06/2023] Open
Abstract
Epidemiologic studies have indicated that cruciferous vegetables can influence the cancer risk; therefore, we examined with a cross-sectional approach the correlation between the frequent consumption of the total cruciferous vegetables and the formation of bulky DNA damage, a biomarker of carcinogen exposure and cancer risk, in the Gen-Air study within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. DNA damage measurements were performed in the peripheral blood of 696 of those apparently healthy without cancer controls, including 379 never-smokers and 317 former smokers from seven European countries by the 32P-postlabeling assay. In the Gen-Air controls, the median intake of cruciferous vegetables was 6.16 (IQR 1.16−13.66) g/day, ranging from 0.37 (IQR 0−6.00) g/day in Spain to 11.34 (IQR 6.02−16.07) g/day in the UK. Based on this information, participants were grouped into: (a) high consumers (>20 g/day), (b) medium consumers (3−20 g/day) and (c) low consumers (<3.0 g/day). Overall, low cruciferous vegetable intake was correlated with a greater frequency of bulky DNA lesions, including benzo(a)pyrene, lactone and quinone-adducts and bulky oxidative lesions, in the adjusted models. Conversely, a high versus low intake of cruciferous vegetables was associated with a reduction in DNA damage (up to a 23% change, p = 0.032); this was particularly evident in former smokers (up to a 40% change, p = 0.008). The Generalized Linear Regression models indicated an overall Mean Ratio between the high and the low consumers of 0.78 (95% confidence interval, 0.64−0.97). The current study suggests that a higher intake of cruciferous vegetables is associated with a lower level of bulky DNA adducts and supports the potential for cancer prevention strategies through dietary habit changes aimed at increasing the consumption of cruciferous vegetables.
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Affiliation(s)
- Marco Peluso
- Research Branch, Regional Cancer Prevention Laboratory, ISPRO-Study, Prevention and Oncology Network Institute, 50139 Florence, Italy; (A.M.); (V.R.)
| | - Armelle Munnia
- Research Branch, Regional Cancer Prevention Laboratory, ISPRO-Study, Prevention and Oncology Network Institute, 50139 Florence, Italy; (A.M.); (V.R.)
| | - Valentina Russo
- Research Branch, Regional Cancer Prevention Laboratory, ISPRO-Study, Prevention and Oncology Network Institute, 50139 Florence, Italy; (A.M.); (V.R.)
| | - Andrea Galli
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, 50139 Florence, Italy;
| | - Valeria Pala
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, 20133 Milan, Italy;
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, 3508 GA Utrecht, The Netherlands;
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, 14558 Nuthetal, Germany;
- Institute of Nutritional Science, University of Potsdam, 14558 Nuthetal, Germany
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, 69372 Lyon, France;
| | - Rosario Tumino
- Hyblean Association for Epidemiological Research, AIRE ONLUS, 97100 Ragusa, Italy;
| | - Calogero Saieva
- Cancer Risk Factors and Life-Style Epidemiology Unit, ISPRO-Study, Prevention and Oncology Network Institute, 50139 Florence, Italy;
| | - Amiano Exezarreta Pilar
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, 20014 San Sebastian, Spain;
- Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, 20014 San Sebastián, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK; (D.A.); (A.K.H.); (E.A.)
| | - Alicia K. Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK; (D.A.); (A.K.H.); (E.A.)
| | - Elom Aglago
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK; (D.A.); (A.K.H.); (E.A.)
| | - Antonio Agudo
- Unit of Nutrition and Cancer, Catalan Institute of Oncology-ICO, 08908 L’Hospitalet de Llobregat, Spain;
- Nutrition and Cancer Group, Epidemiology, Public Health, Cancer Prevention and Palliative Care Program, Bellvitge Biomedical Research Institute-IDIBELL, 08908 L’Hospitalet de Llobregat, Spain
| | - Salvatore Panico
- Department of Clinical Medicine and Surgery, Federico II University, 80138 Naples, Italy;
| | | | - Anne Tjønneland
- Danish Cancer Society Research Center, Diet, Cancer and Health, DK-2100 Copenhagen, Denmark; (K.E.N.P.); (A.T.)
- Department of Public Health, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - Lluís Cirera
- Department of Epidemiology, Regional Health Council-IMIB–Arrixaca, 30120 Murcia, Spain;
- CIBER de Epidemiología y Salud Pública (CIBERESP), 28028 Madrid, Spain;
- Department of Social and Health Sciences, Murcia University, 30100 Murcia, Spain
| | - Miguel Rodriguez-Barranco
- CIBER de Epidemiología y Salud Pública (CIBERESP), 28028 Madrid, Spain;
- Escuela Andaluza de Salud Pública (EASP), 18011 Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, 18012 Granada, Spain
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (V.K.); (R.K.)
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (V.K.); (R.K.)
| | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, University of Turin, 10124 Turin, Italy; (F.R.); (L.M.)
- Unit of Cancer Epidemiology, Città Della Salute e Della Scienza University-Hospital and Center for Cancer Prevention (CPO), 10126 Turin, Italy;
| | - Lorenzo Milani
- Department of Clinical and Biological Sciences, University of Turin, 10124 Turin, Italy; (F.R.); (L.M.)
| | - Paolo Vineis
- MRC Centre for Environment and Health School of Public Health, Imperial College LondonSt Mary’s Campus, Norfolk Place, London W2 1PG, UK;
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città Della Salute e Della Scienza University-Hospital and Center for Cancer Prevention (CPO), 10126 Turin, Italy;
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Liu S, Lim YH, Chen J, Strak M, Wolf K, Weinmayr G, Rodopolou S, de Hoogh K, Bellander T, Brandt J, Concin H, Zitt E, Fecht D, Forastiere F, Gulliver J, Hertel O, Hoffmann B, Hvidtfeldt UA, Verschuren WMM, Jöckel KH, Jørgensen JT, So R, Amini H, Cole-Hunter T, Mehta AJ, Mortensen LH, Ketzel M, Lager A, Leander K, Ljungman P, Severi G, Boutron-Ruault MC, Magnusson PKE, Nagel G, Pershagen G, Peters A, Raaschou-Nielsen O, Rizzuto D, van der Schouw YT, Schramm S, Sørensen M, Stafoggia M, Tjønneland A, Katsouyanni K, Huang W, Samoli E, Brunekreef B, Hoek G, Andersen ZJ. Long-term Air Pollution Exposure and Pneumonia-related Mortality in a Large Pooled European Cohort. Am J Respir Crit Care Med 2022; 205:1429-1439. [PMID: 35258439 DOI: 10.1164/rccm.202106-1484oc] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Rationale: Ambient air pollution exposure has been linked to mortality from chronic cardiorespiratory diseases, while evidence on respiratory infections remains more limited. Objectives: We examined the association between long-term exposure to air pollution and pneumonia-related mortality in adults in a pool of eight European cohorts. Methods: Within the multicenter project ELAPSE (Effects of Low-Level Air Pollution: A Study in Europe), we pooled data from eight cohorts among six European countries. Annual mean residential concentrations in 2010 for fine particulate matter, nitrogen dioxide (NO2), black carbon (BC), and ozone were estimated using Europe-wide hybrid land-use regression models. We applied stratified Cox proportional hazard models to investigate the associations between air pollution and pneumonia, influenza, and acute lower respiratory infections (ALRI) mortality. Measurements and Main Results: Of 325,367 participants, 712 died from pneumonia and influenza combined, 682 from pneumonia, and 695 from ALRI during a mean follow-up of 19.5 years. NO2 and BC were associated with 10-12% increases in pneumonia and influenza combined mortality, but 95% confidence intervals included unity (hazard ratios, 1.12 [0.99-1.26] per 10 μg/m3 for NO2; 1.10 [0.97-1.24] per 0.5 10-5m-1 for BC). Associations with pneumonia and ALRI mortality were almost identical. We detected effect modification suggesting stronger associations with NO2 or BC in overweight, employed, or currently smoking participants compared with normal weight, unemployed, or nonsmoking participants. Conclusions: Long-term exposure to combustion-related air pollutants NO2 and BC may be associated with mortality from lower respiratory infections, but larger studies are needed to estimate these associations more precisely.
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Affiliation(s)
| | | | - Jie Chen
- Institute for Risk Assessment Sciences and
| | - Maciek Strak
- Institute for Risk Assessment Sciences and.,National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Sophia Rodopolou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Tom Bellander
- Institute of Environmental Medicine.,Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Jørgen Brandt
- Department of Environmental Science.,iClimate, Interdisciplinary Centre for Climate Change, and
| | - Hans Concin
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria
| | - Emanuel Zitt
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria.,Department of Internal Medicine 3, Landeskrankenhaus Feldkirch, Feldkirch, Austria
| | - Daniela Fecht
- Medical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
| | - Francesco Forastiere
- Department of Epidemiology, Lazio Region Health Service/Azienda Sanitaria Locale Roma 1, Rome, Italy.,Science Policy & Epidemiology Environmental Research Group King's College London, London, United Kingdom
| | - John Gulliver
- Medical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom.,Centre for Environmental Health and Sustainability & School of Geography, Geology and the Environment, University of Leicester, Leicester, United Kingdom
| | - Ole Hertel
- Department of Ecoscience, Aarhus University, Roskilde, Denmark, Aarhus University, Roskilde, Denmark
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | | | - W M Monique Verschuren
- Julius Center for Health Sciences and Primary Care, Utrecht University, Utrecht, The Netherlands.,National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | | | - Rina So
- Section of Environmental Health
| | | | | | - Amar J Mehta
- Section of Epidemiology, and.,Statistics Denmark, Copenhagen, Denmark
| | - Laust H Mortensen
- Section of Epidemiology, and.,Statistics Denmark, Copenhagen, Denmark
| | - Matthias Ketzel
- Department of Environmental Science.,Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford, United Kingdom
| | | | | | - Petter Ljungman
- Institute of Environmental Medicine.,Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden
| | - Gianluca Severi
- University Paris-Saclay, University of Versailles Saint-Quentin, Inserm, Gustave Roussy, "Exposome and Heredity" team, The Centre de Recherche en Epidémiologie et Santé des Populations UMR1018, Villejuif, France.,Department of Statistics, Computer Science and Applications "G. Parenti" (DISIA), University of Florence, Florence, Italy
| | - Marie-Christine Boutron-Ruault
- University Paris-Saclay, University of Versailles Saint-Quentin, Inserm, Gustave Roussy, "Exposome and Heredity" team, The Centre de Recherche en Epidémiologie et Santé des Populations UMR1018, Villejuif, France
| | | | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Göran Pershagen
- Institute of Environmental Medicine.,Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.,Chair of Epidemiology, Ludwig Maximilians Universität München, Germany
| | - Ole Raaschou-Nielsen
- Department of Environmental Science.,Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, Utrecht University, Utrecht, The Netherlands
| | - Sara Schramm
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Mette Sørensen
- Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Massimo Stafoggia
- Institute of Environmental Medicine.,Department of Epidemiology, Lazio Region Health Service/Azienda Sanitaria Locale Roma 1, Rome, Italy
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark.,Diet, Genes and Environment (DGE), Copenhagen, Denmark; and
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece.,Science Policy & Epidemiology Environmental Research Group King's College London, London, United Kingdom
| | - Wei Huang
- Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing, China
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | | | | | - Zorana J Andersen
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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Verdiesen RMG, Onland-Moret NC, van Gils CH, van der Schouw YT. Circulating anti-Müllerian hormone levels and markers of subclinical cardiovascular disease in middle-aged and older men. Maturitas 2022; 163:38-45. [PMID: 35709631 DOI: 10.1016/j.maturitas.2022.05.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 05/05/2022] [Accepted: 05/17/2022] [Indexed: 12/01/2022]
Abstract
CONTEXT Recent research suggests that higher circulating anti-Müllerian hormone (AMH) levels are associated with less frequent occurrence of (subclinical) cardiovascular disease (CVD) in women, but evidence in men is limited. OBJECTIVE We investigated whether circulating AMH levels are associated with measures of subclinical CVD in middle-aged and older men. DESIGN Prospective cohort study with a median follow-up time of 8.7 years. Serum AMH was measured at baseline. We assessed both cross-sectional and longitudinal associations using linear regression models adjusted for confounders. SETTING Dutch middle-aged and older men from the community. PARTICIPANTS 394 men (aged 40-80 years) with an available AMH measurement at baseline. MAIN OUTCOME MEASURES At baseline (2001-2002): carotid intima-media thickness (CIMT), pulse wave velocity (PWV), abdominal aortic diameter, and Framingham risk score (FRS) predictions. At follow-up (2010-2011): CIMT, mean carotid aortic plaque score, PWV, and FRS predictions. All outcomes were transformed using rank-based inverse normal transformation to meet the normality assumption. RESULTS Higher AMH levels were associated with lower CIMT at baseline (β = -0.04; 95%CI = 0.07, -0.01), but not with the other measures of subclinical CVD at baseline. Longitudinal analyses suggested that higher baseline AMH levels were associated with lower mean plaque scores at follow-up (β = -0.03, 95%CI = -0.07, 0.00), but not with the other follow-up outcomes. CONCLUSIONS Our results suggest that AMH is associated with current CIMT and future carotid aortic plaque burden in men, implying that circulating AMH levels are potentially associated with local atherosclerosis rather than with total aortic stiffness.
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Affiliation(s)
- Renée M G Verdiesen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
| | - Carla H van Gils
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
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Verdiesen RMG, van der Schouw YT, van Gils CH, Verschuren WMM, Broekmans FJM, Borges MC, Gonçalves Soares AL, Lawlor DA, Eliassen AH, Kraft P, Sandler DP, Harlow SD, Smith JA, Santoro N, Schoemaker MJ, Swerdlow AJ, Murray A, Ruth KS, Onland-Moret NC. Genome-wide association study meta-analysis identifies three novel loci for circulating anti-Müllerian hormone levels in women. Hum Reprod 2022; 37:1069-1082. [PMID: 35274129 PMCID: PMC9071229 DOI: 10.1093/humrep/deac028] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 10/22/2021] [Indexed: 12/05/2022] Open
Abstract
STUDY QUESTION Can additional genetic variants for circulating anti-Müllerian hormone (AMH) levels be identified through a genome-wide association study (GWAS) meta-analysis including a large sample of premenopausal women? SUMMARY ANSWER We identified four loci associated with AMH levels at P < 5 × 10-8: the previously reported MCM8 locus and three novel signals in or near AMH, TEX41 and CDCA7. WHAT IS KNOWN ALREADY AMH is expressed by antral stage ovarian follicles in women, and variation in age-specific circulating AMH levels has been associated with disease outcomes. However, the physiological mechanisms underlying these AMH-disease associations are largely unknown. STUDY DESIGN, SIZE, DURATION We performed a GWAS meta-analysis in which we combined summary statistics of a previous AMH GWAS with GWAS data from 3705 additional women from three different cohorts. PARTICIPANTS/MATERIALS, SETTING, METHODS In total, we included data from 7049 premenopausal female participants of European ancestry. The median age of study participants ranged from 15.3 to 48 years across cohorts. Circulating AMH levels were measured in either serum or plasma samples using different ELISA assays. Study-specific analyses were adjusted for age at blood collection and population stratification, and summary statistics were meta-analysed using a standard error-weighted approach. Subsequently, we functionally annotated GWAS variants that reached genome-wide significance (P < 5 × 10-8). We also performed a gene-based GWAS, pathway analysis and linkage disequilibrium score regression and Mendelian randomization (MR) analyses. MAIN RESULTS AND THE ROLE OF CHANCE We identified four loci associated with AMH levels at P < 5 × 10-8: the previously reported MCM8 locus and three novel signals in or near AMH, TEX41 and CDCA7. The strongest signal was a missense variant in the AMH gene (rs10417628). Most prioritized genes at the other three identified loci were involved in cell cycle regulation. Genetic correlation analyses indicated a strong positive correlation among single nucleotide polymorphisms for AMH levels and for age at menopause (rg = 0.82, FDR = 0.003). Exploratory two-sample MR analyses did not support causal effects of AMH on breast cancer or polycystic ovary syndrome risk, but should be interpreted with caution as they may be underpowered and the validity of genetic instruments could not be extensively explored. LARGE SCALE DATA The full AMH GWAS summary statistics will made available after publication through the GWAS catalog (https://www.ebi.ac.uk/gwas/). LIMITATIONS, REASONS FOR CAUTION Whilst this study doubled the sample size of the most recent GWAS, the statistical power is still relatively low. As a result, we may still lack power to identify more genetic variants for AMH and to determine causal effects of AMH on, for example, breast cancer. Also, follow-up studies are needed to investigate whether the signal for the AMH gene is caused by reduced AMH detection by certain assays instead of actual lower circulating AMH levels. WIDER IMPLICATIONS OF THE FINDINGS Genes mapped to the MCM8, TEX41 and CDCA7 loci are involved in the cell cycle and processes such as DNA replication and apoptosis. The mechanism underlying their associations with AMH may affect the size of the ovarian follicle pool. Altogether, our results provide more insight into the biology of AMH and, accordingly, the biological processes involved in ovarian ageing. STUDY FUNDING/COMPETING INTEREST(S) Nurses' Health Study and Nurses' Health Study II were supported by research grants from the National Institutes of Health (CA172726, CA186107, CA50385, CA87969, CA49449, CA67262, CA178949). The UK Medical Research Council and Wellcome (217065/Z/19/Z) and the University of Bristol provide core support for ALSPAC. This publication is the work of the listed authors, who will serve as guarantors for the contents of this article. A comprehensive list of grants funding is available on the ALSPAC website (http://www.bristol.ac.uk/alspac/external/documents/grant-acknowledgements.pdf). Funding for the collection of genotype and phenotype data used here was provided by the British Heart Foundation (SP/07/008/24066), Wellcome (WT092830M and WT08806) and UK Medical Research Council (G1001357). M.C.B., A.L.G.S. and D.A.L. work in a unit that is funded by the University of Bristol and UK Medical Research Council (MC_UU_00011/6). M.C.B.'s contribution to this work was funded by a UK Medical Research Council Skills Development Fellowship (MR/P014054/1) and D.A.L. is a National Institute of Health Research Senior Investigator (NF-0616-10102). A.L.G.S. was supported by the study of Dynamic longitudinal exposome trajectories in cardiovascular and metabolic non-communicable diseases (H2020-SC1-2019-Single-Stage-RTD, project ID 874739). The Doetinchem Cohort Study was financially supported by the Ministry of Health, Welfare and Sports of the Netherlands. The funder had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. Ansh Labs performed the AMH measurements for the Doetinchem Cohort Study free of charge. Ansh Labs was not involved in the data analysis, interpretation or reporting, nor was it financially involved in any aspect of the study. R.M.G.V. was funded by the Honours Track of MSc Epidemiology, University Medical Center Utrecht with a grant from the Netherlands Organization for Scientific Research (NWO) (022.005.021). The Study of Women's Health Across the Nation (SWAN) has grant support from the National Institutes of Health (NIH), DHHS, through the National Institute on Aging (NIA), the National Institute of Nursing Research (NINR) and the NIH Office of Research on Women's Health (ORWH) (U01NR004061; U01AG012505, U01AG012535, U01AG012531, U01AG012539, U01AG012546, U01AG012553, U01AG012554, U01AG012495). The SWAN Genomic Analyses and SWAN Legacy have grant support from the NIA (U01AG017719). The Generations Study was funded by Breast Cancer Now and the Institute of Cancer Research (ICR). The ICR acknowledges NHS funding to the NIHR Biomedical Research Centre. The content of this manuscript is solely the responsibility of the authors and does not necessarily represent official views of the funders. The Sister Study was funded by the Intramural Research Program of the National Institutes of Health (NIH), National Institute of Environmental Health Sciences (Z01-ES044005 to D.P.S.); the AMH assays were supported by the Avon Foundation (02-2012-065 to H.B. Nichols and D.P.S.). The breast cancer genome-wide association analyses were supported by the Government of Canada through Genome Canada and the Canadian Institutes of Health Research, the 'Ministère de l'Économie, de la Science et de l'Innovation du Québec' through Genome Québec and grant PSR-SIIRI-701, The National Institutes of Health (U19 CA148065, X01HG007492), Cancer Research UK (C1287/A10118, C1287/A16563, C1287/A10710) and The European Union (HEALTH-F2-2009-223175 and H2020 633784 and 634935). All studies and funders are listed in Michailidou et al. (Nature, 2017). F.J.M.B. has received fees and grant support from Merck Serono and Ferring BV. D.A.L. has received financial support from several national and international government and charitable funders as well as from Medtronic Ltd and Roche Diagnostics for research that is unrelated to this study. N.S. is scientific consultant for Ansh Laboratories. The other authors declare no competing interests.
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Affiliation(s)
- Renée M G Verdiesen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Carla H van Gils
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - W M Monique Verschuren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Frank J M Broekmans
- Department of Reproductive Medicine and Gynecology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Maria C Borges
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ana L Gonçalves Soares
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Bristol NIHR Biomedical Research Centre, Bristol, UK
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA
| | - Siobán D Harlow
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Jennifer A Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Nanette Santoro
- Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Colorado, USA
| | - Minouk J Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Anna Murray
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Katherine S Ruth
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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Simons PIHG, Cornelissen MEB, Valkenburg O, Onland‐Moret NC, van der Schouw YT, Stehouwer CD, Burgess S, Brouwers MCGJ. Causal relationship between polycystic ovary syndrome and coronary artery disease: A Mendelian randomisation study. Clin Endocrinol (Oxf) 2022; 96:599-604. [PMID: 34524719 PMCID: PMC7612926 DOI: 10.1111/cen.14593] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 07/27/2021] [Accepted: 08/02/2021] [Indexed: 02/06/2023]
Abstract
OBJECTIVE Polycystic ovary syndrome (PCOS) has been associated with an increased risk of coronary artery disease (CAD). However, it remains uncertain whether this increased risk is the result of PCOS per se or, alternatively, is explained by obesity, a common feature of PCOS. The aim of this study was to assess the causal association between PCOS and CAD and the role of obesity herein. DESIGN AND METHODS We conducted two-sample Mendelian randomisation analyses in large-scale, female-specific datasets to study the association between genetically predicted (1) risk of PCOS and risk of CAD, (2) body mass index (BMI) and risk of PCOS and (3) BMI and risk of CAD. Primary analyses were conducted with the inverse-variance weighted (IVW) method. Simple median, penalized weighted median and contamination mixture analyses were performed to assess the robustness of the outcomes. RESULTS IVW analyses did not show a statistically significant association between PCOS and CAD (odds ratio [OR]: 0.99, 95% confidence interval [CI]: 0.89, 1.11). In contrast, genetically predicted BMI was statistically significantly associated with an increased odds of PCOS (OR: 3.21, 95% CI: 2.26, 4.56) and CAD (OR: 1.38, 95% CI: 1.14, 1.67). Similar results were obtained when secondary analyses were performed. CONCLUSION These sex-specific analyses show that the genetically predicted risk of PCOS is not associated with the risk of CAD. Instead, the genetically predicted risk of obesity (and its downstream metabolic effects) is the common denominator of both PCOS and CAD risk.
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Affiliation(s)
- Pomme I. H. G. Simons
- Department of Internal Medicine, Division of Endocrinology and Metabolic DiseasesMaastricht University Medical CenterMaastrichtThe Netherlands
- Laboratory for Metabolism and Vascular MedicineMaastricht UniversityMaastrichtThe Netherlands
- CARIM School for Cardiovascular DiseasesMaastricht UniversityMaastrichtThe Netherlands
| | - Merel E. B. Cornelissen
- Julius Center for Health Sciences and Primary Care, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Olivier Valkenburg
- Department of Reproductive MedicineMaastricht University Medical CenterMaastrichtThe Netherlands
| | - N. Charlotte Onland‐Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Coen D.A. Stehouwer
- Laboratory for Metabolism and Vascular MedicineMaastricht UniversityMaastrichtThe Netherlands
- CARIM School for Cardiovascular DiseasesMaastricht UniversityMaastrichtThe Netherlands
- Department of Internal Medicine, Division of General Internal MedicineMaastricht University Medical CenterMaastrichtThe Netherlands
| | - Stephen Burgess
- Department of Public Health and Primary CareUniversity of CambridgeCambridgeUK
- MRC Biostatistics UnitUniversity of CambridgeCambridgeUK
| | - Martijn C. G. J. Brouwers
- Department of Internal Medicine, Division of Endocrinology and Metabolic DiseasesMaastricht University Medical CenterMaastrichtThe Netherlands
- CARIM School for Cardiovascular DiseasesMaastricht UniversityMaastrichtThe Netherlands
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Hoenink JC, Beulens JWJ, Harbers MC, Boer JMA, Dijkstra SC, Nicolaou M, van der Schouw YT, Sluijs I, Verschuren WMM, Waterlander W, Mackenbach JD. Correction to: To what extent do dietary costs explain socio-economic differences in dietary behavior? Nutr J 2022; 21:15. [PMID: 35300706 PMCID: PMC8928631 DOI: 10.1186/s12937-022-00767-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Affiliation(s)
- Jody C Hoenink
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, De Boelelaan, 1117, Amsterdam, the Netherlands.
| | - Joline W J Beulens
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, De Boelelaan, 1117, Amsterdam, the Netherlands.,Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Marjolein C Harbers
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Jolanda M A Boer
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - S Coosje Dijkstra
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Mary Nicolaou
- Amsterdam UMC, University of Amsterdam, Department of Public Health, Amsterdam Public Health Research Institute, Meibergdreef 9, Amsterdam, the Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Ivonne Sluijs
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - W M Monique Verschuren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Wilma Waterlander
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, De Boelelaan, 1117, Amsterdam, the Netherlands.,Amsterdam UMC, University of Amsterdam, Department of Public Health, Amsterdam Public Health Research Institute, Meibergdreef 9, Amsterdam, the Netherlands
| | - Joreintje D Mackenbach
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, De Boelelaan, 1117, Amsterdam, the Netherlands
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Stafoggia M, Oftedal B, Chen J, Rodopoulou S, Renzi M, Atkinson RW, Bauwelinck M, Klompmaker JO, Mehta A, Vienneau D, Andersen ZJ, Bellander T, Brandt J, Cesaroni G, de Hoogh K, Fecht D, Gulliver J, Hertel O, Hoffmann B, Hvidtfeldt UA, Jöckel KH, Jørgensen JT, Katsouyanni K, Ketzel M, Kristoffersen DT, Lager A, Leander K, Liu S, Ljungman PLS, Nagel G, Pershagen G, Peters A, Raaschou-Nielsen O, Rizzuto D, Schramm S, Schwarze PE, Severi G, Sigsgaard T, Strak M, van der Schouw YT, Verschuren M, Weinmayr G, Wolf K, Zitt E, Samoli E, Forastiere F, Brunekreef B, Hoek G, Janssen NAH. Long-term exposure to low ambient air pollution concentrations and mortality among 28 million people: results from seven large European cohorts within the ELAPSE project. Lancet Planet Health 2022; 6:e9-e18. [PMID: 34998464 DOI: 10.1016/s2542-5196(21)00277-1] [Citation(s) in RCA: 96] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 09/13/2021] [Accepted: 09/20/2021] [Indexed: 05/21/2023]
Abstract
BACKGROUND Long-term exposure to ambient air pollution has been associated with premature mortality, but associations at concentrations lower than current annual limit values are uncertain. We analysed associations between low-level air pollution and mortality within the multicentre study Effects of Low-Level Air Pollution: A Study in Europe (ELAPSE). METHODS In this multicentre longitudinal study, we analysed seven population-based cohorts of adults (age ≥30 years) within ELAPSE, from Belgium, Denmark, England, the Netherlands, Norway, Rome (Italy), and Switzerland (enrolled in 2000-11; follow-up until 2011-17). Mortality registries were used to extract the underlying cause of death for deceased individuals. Annual average concentrations of fine particulate matter (PM2·5), nitrogen dioxide (NO2), black carbon, and tropospheric warm-season ozone (O3) from Europe-wide land use regression models at 100 m spatial resolution were assigned to baseline residential addresses. We applied cohort-specific Cox proportional hazard models with adjustment for area-level and individual-level covariates to evaluate associations with non-accidental mortality, as the main outcome, and with cardiovascular, non-malignant respiratory, and lung cancer mortality. Subset analyses of participants living at low pollutant concentrations (as per predefined values) and natural splines were used to investigate the concentration-response function. Cohort-specific effect estimates were pooled in a random-effects meta-analysis. FINDINGS We analysed 28 153 138 participants contributing 257 859 621 person-years of observation, during which 3 593 741 deaths from non-accidental causes occurred. We found significant positive associations between non-accidental mortality and PM2·5, NO2, and black carbon, with a hazard ratio (HR) of 1·053 (95% CI 1·021-1·085) per 5 μg/m3 increment in PM2·5, 1·044 (1·019-1·069) per 10 μg/m3 NO2, and 1·039 (1·018-1·059) per 0·5 × 10-5/m black carbon. Associations with PM2·5, NO2, and black carbon were slightly weaker for cardiovascular mortality, similar for non-malignant respiratory mortality, and stronger for lung cancer mortality. Warm-season O3 was negatively associated with both non-accidental and cause-specific mortality. Associations were stronger at low concentrations: HRs for non-accidental mortality at concentrations lower than the WHO 2005 air quality guideline values for PM2·5 (10 μg/m3) and NO2 (40 μg/m3) were 1·078 (1·046-1·111) per 5 μg/m3 PM2·5 and 1·049 (1·024-1·075) per 10 μg/m3 NO2. Similarly, the association between black carbon and non-accidental mortality was highest at low concentrations, with a HR of 1·061 (1·032-1·092) for exposure lower than 1·5× 10-5/m, and 1·081 (0·966-1·210) for exposure lower than 1·0× 10-5/m. INTERPRETATION Long-term exposure to concentrations of PM2·5 and NO2 lower than current annual limit values was associated with non-accidental, cardiovascular, non-malignant respiratory, and lung cancer mortality in seven large European cohorts. Continuing research on the effects of low concentrations of air pollutants is expected to further inform the process of setting air quality standards in Europe and other global regions. FUNDING Health Effects Institute.
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Affiliation(s)
- Massimo Stafoggia
- Department of Epidemiology, Lazio Region Health Service, ASL Roma 1, Rome, Italy; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
| | - Bente Oftedal
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Sophia Rodopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Matteo Renzi
- Department of Epidemiology, Lazio Region Health Service, ASL Roma 1, Rome, Italy
| | - Richard W Atkinson
- Population Health Research Institute, St George's, University of London, London, UK
| | - Mariska Bauwelinck
- Interface Demography-Department of Sociology, Vrije Universiteit Brussel, Brussels, Belgium
| | - Jochem O Klompmaker
- National Institute for Public Health and the Environment, Bilthoven, Netherlands; Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Amar Mehta
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Zorana J Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate Aarhus University Interdisciplinary Centre for Climate Change, Aarhus, Denmark
| | - Giulia Cesaroni
- Department of Epidemiology, Lazio Region Health Service, ASL Roma 1, Rome, Italy
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Daniela Fecht
- School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - John Gulliver
- School of Public Health, Faculty of Medicine, Imperial College London, London, UK; Centre for Environmental Health and Sustainability and School of Geography, Geology and the Environment, University of Leicester, Leicester, UK
| | - Ole Hertel
- Department of Bioscience, Aarhus University, Roskilde, Denmark
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | | | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Jeanette T Jørgensen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece; School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research, University of Surrey, Guildford, UK
| | | | - Anton Lager
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Shuo Liu
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Petter L S Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany; Ludwig Maximilians Universität München, Munich, Germany
| | - Ole Raaschou-Nielsen
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Sara Schramm
- Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, University Hospital Essen, Germany
| | - Per E Schwarze
- Division for Infection Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Gianluca Severi
- Exposome and Heredity Team, University Paris-Saclay, UVSQ, INSERM, Gustave Roussy, Villejuif, France; Department of Statistics, Computer Science and Applications "G Parenti", University of Florence, Italy
| | - Torben Sigsgaard
- Department of Public Health, Environment Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Maciek Strak
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands; National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Monique Verschuren
- National Institute for Public Health and the Environment, Bilthoven, Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Emanuel Zitt
- Agency for Preventive and Social Medicine, Bregenz, Austria
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Francesco Forastiere
- Department of Epidemiology, Lazio Region Health Service, ASL Roma 1, Rome, Italy; School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Nicole A H Janssen
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
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Steur M, Johnson L, Sharp SJ, Imamura F, Sluijs I, Key TJ, Wood A, Chowdhury R, Guevara M, Jakobsen MU, Johansson I, Koulman A, Overvad K, Sánchez M, van der Schouw YT, Trichopoulou A, Weiderpass E, Wennberg M, Zheng J, Boeing H, Boer JMA, Boutron‐Ruault M, Ericson U, Heath AK, Huybrechts I, Imaz L, Kaaks R, Krogh V, Kühn T, Kyrø C, Masala G, Melander O, Moreno‐Iribas C, Panico S, Quirós JR, Rodríguez‐Barranco M, Sacerdote C, Santiuste C, Skeie G, Tjønneland A, Tumino R, Verschuren WMM, Zamora‐Ros R, Dahm CC, Perez‐Cornago A, Schulze MB, Tong TYN, Riboli E, Wareham NJ, Danesh J, Butterworth AS, Forouhi NG. Dietary Fatty Acids, Macronutrient Substitutions, Food Sources and Incidence of Coronary Heart Disease: Findings From the EPIC-CVD Case-Cohort Study Across Nine European Countries. J Am Heart Assoc 2021; 10:e019814. [PMID: 34796724 PMCID: PMC9075396 DOI: 10.1161/jaha.120.019814] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 06/07/2021] [Indexed: 01/12/2023]
Abstract
Background There is controversy about associations between total dietary fatty acids, their classes (saturated fatty acids [SFAs], monounsaturated fatty acids, and polyunsaturated fatty acids), and risk of coronary heart disease (CHD). Specifically, the relevance of food sources of SFAs to CHD associations is uncertain. Methods and Results We conducted a case-cohort study involving 10 529 incident CHD cases and a random subcohort of 16 730 adults selected from a cohort of 385 747 participants in 9 countries of the EPIC (European Prospective Investigation into Cancer and Nutrition) study. We estimated multivariable adjusted country-specific hazard ratios (HRs) and 95% CIs per 5% of energy intake from dietary fatty acids, with and without isocaloric macronutrient substitutions, using Prentice-weighted Cox regression models and pooled results using random-effects meta-analysis. We found no evidence for associations of the consumption of total or fatty acid classes with CHD, regardless of macronutrient substitutions. In analyses considering food sources, CHD incidence was lower per 1% higher energy intake of SFAs from yogurt (HR, 0.93 [95% CI, 0.88-0.99]), cheese (HR, 0.98 [95% CI, 0.96-1.00]), and fish (HR, 0.87 [95% CI, 0.75-1.00]), but higher for SFAs from red meat (HR, 1.07 [95% CI, 1.02-1.12]) and butter (HR, 1.02 [95% CI, 1.00-1.04]). Conclusions This observational study found no strong associations of total fatty acids, SFAs, monounsaturated fatty acids, and polyunsaturated fatty acids, with incident CHD. By contrast, we found associations of SFAs with CHD in opposite directions dependent on the food source. These findings should be further confirmed, but support public health recommendations to consider food sources alongside the macronutrients they contain, and suggest the importance of the overall food matrix.
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Sofianopoulou E, Kaptoge SK, Afzal S, Jiang T, Gill D, Gundersen TE, Bolton TR, Allara E, Arnold MG, Mason AM, Chung R, Pennells LAM, Shi F, Sun L, Willeit P, Forouhi NG, Langenberg C, Sharp SJ, Panico S, Engström G, Melander O, Tong TYN, Perez-Cornago A, Norberg M, Johansson I, Katzke V, Srour B, José Sánchez M, Redondo-Sánchez D, Olsen A, Dahm CC, Overvad K, Brustad M, Skeie G, Moreno-Iribas C, Onland-Moret NC, van der Schouw YT, Tsilidis KK, Heath AK, Agnoli C, Krogh V, de Boer IH, Kobylecki CJ, Çolak Y, Zittermann A, Sundström J, Welsh P, Weiderpass E, Aglago EK, Ferrari P, Clarke R, Boutron MC, Severi G, MacDonald C, Providencia R, Masala G, Zamora Ros R, Boer J, Verschuren WMM, Cawthon P, Schierbeck LL, Cooper C, Schulze MB, Bergmann MM, Hannemann A, Kiechl S, Brenner H, van Schoor NM, Albertorio JR, Sacerdote C, Linneberg A, Kårhus LL, Huerta JM, Imaz L, Joergensen C, Ben-Shlomo Y, Lundqvist A, Gallacher J, Sattar N, Wood AM, Wareham NJ, Nordestgaard BG, Di Angelantonio E, Danesh J, Butterworth AS, Burgess S. Estimating dose-response relationships for vitamin D with coronary heart disease, stroke, and all-cause mortality: observational and Mendelian randomisation analyses. Lancet Diabetes Endocrinol 2021; 9:837-846. [PMID: 34717822 PMCID: PMC8600124 DOI: 10.1016/s2213-8587(21)00263-1] [Citation(s) in RCA: 113] [Impact Index Per Article: 37.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 09/02/2021] [Accepted: 09/02/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND Randomised trials of vitamin D supplementation for cardiovascular disease and all-cause mortality have generally reported null findings. However, generalisability of results to individuals with low vitamin D status is unclear. We aimed to characterise dose-response relationships between 25-hydroxyvitamin D (25[OH]D) concentrations and risk of coronary heart disease, stroke, and all-cause mortality in observational and Mendelian randomisation frameworks. METHODS Observational analyses were undertaken using data from 33 prospective studies comprising 500 962 individuals with no known history of coronary heart disease or stroke at baseline. Mendelian randomisation analyses were performed in four population-based cohort studies (UK Biobank, EPIC-CVD, and two Copenhagen population-based studies) comprising 386 406 middle-aged individuals of European ancestries, including 33 546 people who developed coronary heart disease, 18 166 people who had a stroke, and 27 885 people who died. Primary outcomes were coronary heart disease, defined as fatal ischaemic heart disease (International Classification of Diseases 10th revision code I20-I25) or non-fatal myocardial infarction (I21-I23); stroke, defined as any cerebrovascular disease (I60-I69); and all-cause mortality. FINDINGS Observational analyses suggested inverse associations between incident coronary heart disease, stroke, and all-cause mortality outcomes with 25(OH)D concentration at low 25(OH)D concentrations. In population-wide genetic analyses, there were no associations of genetically-predicted 25(OH)D with coronary heart disease, stroke, or all-cause mortality. However, for the participants with vitamin D deficiency (25[OH]D concentration <25 nmol/L), genetic analyses provided strong evidence for an inverse association with all-cause mortality (odds ratio [OR] per 10 nmol/L increase in genetically-predicted 25[OH]D concentration 0·69 [95% CI 0·59-0·80]; p<0·0001) and non-significant inverse associations for stroke (0·85 [0·70-1·02], p=0·09) and coronary heart disease (0·89 [0·76-1·04]; p=0·14). A finer stratification of participants found inverse associations between genetically-predicted 25(OH)D concentrations and all-cause mortality up to around 40 nmol/L. INTERPRETATION Stratified Mendelian randomisation analyses suggest a causal relationship between 25(OH)D concentrations and mortality for individuals with low vitamin D status. Our findings have implications for the design of vitamin D supplementation trials, and potential disease prevention strategies. FUNDING British Heart Foundation, Medical Research Council, National Institute for Health Research, Health Data Research UK, Cancer Research UK, and International Agency for Research on Cancer.
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Groenewegen A, Zwartkruis VW, Rienstra M, Hollander M, Koffijberg H, Cramer MJM, van der Schouw YT, Hoes AW, de Boer RA, Rutten FH. Improving early diagnosis of cardiovascular disease in patients with type 2 diabetes and COPD: protocol of the RED-CVD cluster randomised diagnostic trial. BMJ Open 2021; 11:e046330. [PMID: 34702727 PMCID: PMC8549668 DOI: 10.1136/bmjopen-2020-046330] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION The early stages of chronic progressive cardiovascular disease (CVD) generally cause non-specific symptoms that patients often do not spontaneously mention to their general practitioner, and are therefore easily missed. A proactive diagnostic strategy has the potential to uncover these frequently missed early stages, creating an opportunity for earlier intervention. This is of particular importance for chronic progressive CVDs with evidence-based therapies known to improve prognosis, such as ischaemic heart disease, atrial fibrillation and heart failure.Patients with type 2 diabetes or chronic obstructive pulmonary disease (COPD) are at particularly high risk of developing CVD. In the current study, we will demonstrate the feasibility and effectiveness of screening these high-risk patients with our early diagnosis strategy, using tools that are readily available in primary care, such as symptom questionnaires (to be filled out by the patients themselves), natriuretic peptide measurement and electrocardiography. METHODS AND ANALYSIS The Reviving the Early Diagnosis-CVD trial is a multicentre, cluster randomised diagnostic trial performed in primary care practices across the Netherlands. We aim to include 1300 (2×650) patients who participate in a primary care disease management programme for COPD or type 2 diabetes. Practices will be randomised to the intervention arm (performing the early diagnosis strategy during the routine visits that are part of the disease management programmes) or the control arm (care as usual). The main outcome is the number of newly detected cases with CVDs in both arms, and the subsequent therapies they received. Secondary endpoints include quality of life, cost-effectiveness and the added diagnostic value of family and reproductive history questionnaires and three (novel) biomarkers (high-sensitive troponin-I, growth differentiation factor-15 and suppressor of tumourigenicity 2). Finally newly initiated treatments will be compared in both groups. ETHICS AND DISSEMINATION The protocol was approved by the Medical Ethical Committee of the University Medical Center Utrecht, the Netherlands. Results are expected in 2022 and will be disseminated through international peer-reviewed publications. TRIAL REGISTRATION NUMBER NTR7360.
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Affiliation(s)
- Amy Groenewegen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Victor W Zwartkruis
- Department of Cardiology, University Medical Centre Groningen, Groningen, The Netherlands
| | - Michiel Rienstra
- Department of Cardiology, University Medical Centre Groningen, Groningen, The Netherlands
| | - Monika Hollander
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Hendrik Koffijberg
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Arno W Hoes
- University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Rudolf A de Boer
- Department of Cardiology, University Medical Centre Groningen, Groningen, The Netherlands
| | - Frans H Rutten
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
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Hanley-Cook GT, Huybrechts I, Biessy C, Remans R, Kennedy G, Deschasaux-Tanguy M, Murray KA, Touvier M, Skeie G, Kesse-Guyot E, Argaw A, Casagrande C, Nicolas G, Vineis P, Millett CJ, Weiderpass E, Ferrari P, Dahm CC, Bueno-de-Mesquita HB, Sandanger TM, Ibsen DB, Freisling H, Ramne S, Jannasch F, van der Schouw YT, Schulze MB, Tsilidis KK, Tjønneland A, Ardanaz E, Bodén S, Cirera L, Gargano G, Halkjær J, Jakszyn P, Johansson I, Katzke V, Masala G, Panico S, Rodriguez-Barranco M, Sacerdote C, Srour B, Tumino R, Riboli E, Gunter MJ, Jones AD, Lachat C. Food biodiversity and total and cause-specific mortality in 9 European countries: An analysis of a prospective cohort study. PLoS Med 2021; 18:e1003834. [PMID: 34662340 PMCID: PMC8559947 DOI: 10.1371/journal.pmed.1003834] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 11/01/2021] [Accepted: 10/04/2021] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Food biodiversity, encompassing the variety of plants, animals, and other organisms consumed as food and drink, has intrinsic potential to underpin diverse, nutritious diets and improve Earth system resilience. Dietary species richness (DSR), which is recommended as a crosscutting measure of food biodiversity, has been positively associated with the micronutrient adequacy of diets in women and young children in low- and middle-income countries (LMICs). However, the relationships between DSR and major health outcomes have yet to be assessed in any population. METHODS AND FINDINGS We examined the associations between DSR and subsequent total and cause-specific mortality among 451,390 adults enrolled in the European Prospective Investigation into Cancer and Nutrition (EPIC) study (1992 to 2014, median follow-up: 17 years), free of cancer, diabetes, heart attack, or stroke at baseline. Usual dietary intakes were assessed at recruitment with country-specific dietary questionnaires (DQs). DSR of an individual's yearly diet was calculated based on the absolute number of unique biological species in each (composite) food and drink. Associations were assessed by fitting multivariable-adjusted Cox proportional hazards regression models. In the EPIC cohort, 2 crops (common wheat and potato) and 2 animal species (cow and pig) accounted for approximately 45% of self-reported total dietary energy intake [median (P10-P90): 68 (40 to 83) species consumed per year]. Overall, higher DSR was inversely associated with all-cause mortality rate. Hazard ratios (HRs) and 95% confidence intervals (CIs) comparing total mortality in the second, third, fourth, and fifth (highest) quintiles (Qs) of DSR to the first (lowest) Q indicate significant inverse associations, after stratification by sex, age, and study center and adjustment for smoking status, educational level, marital status, physical activity, alcohol intake, and total energy intake, Mediterranean diet score, red and processed meat intake, and fiber intake [HR (95% CI): 0.91 (0.88 to 0.94), 0.80 (0.76 to 0.83), 0.69 (0.66 to 0.72), and 0.63 (0.59 to 0.66), respectively; PWald < 0.001 for trend]. Absolute death rates among participants in the highest and lowest fifth of DSR were 65.4 and 69.3 cases/10,000 person-years, respectively. Significant inverse associations were also observed between DSR and deaths due to cancer, heart disease, digestive disease, and respiratory disease. An important study limitation is that our findings were based on an observational cohort using self-reported dietary data obtained through single baseline food frequency questionnaires (FFQs); thus, exposure misclassification and residual confounding cannot be ruled out. CONCLUSIONS In this large Pan-European cohort, higher DSR was inversely associated with total and cause-specific mortality, independent of sociodemographic, lifestyle, and other known dietary risk factors. Our findings support the potential of food (species) biodiversity as a guiding principle of sustainable dietary recommendations and food-based dietary guidelines.
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Affiliation(s)
- Giles T. Hanley-Cook
- Department of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
| | - Inge Huybrechts
- Nutritional Epidemiology Group, Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Carine Biessy
- Nutritional Methodology and Biostatistics Group, Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Roseline Remans
- Bioversity International, Heverlee, Belgium
- Department of Agrotechnology and Food Sciences, Wageningen University & Research, Wageningen, the Netherlands
| | - Gina Kennedy
- Global Alliance for Improved Nutrition (GAIN), Washington, DC, United States of America
| | - Mélanie Deschasaux-Tanguy
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center—University of Paris (CRESS), Bobigny, France
| | - Kris A. Murray
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom
- MRC Unit The Gambia at London School of Hygiene & Tropical Medicine, Fajara, Banjul, The Gambia
| | - Mathilde Touvier
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center—University of Paris (CRESS), Bobigny, France
| | - Guri Skeie
- Department of Community Medicine, Faculty of Health Sciences, UiT, The Arctic University of Norway, Tromsø, Norway
| | - Emmanuelle Kesse-Guyot
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center—University of Paris (CRESS), Bobigny, France
| | - Alemayehu Argaw
- Department of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
- Department of Population and Family Health, Institute of Health, Jimma University, Jimma, Ethiopia
| | - Corinne Casagrande
- Nutritional Methodology and Biostatistics Group, Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Geneviève Nicolas
- Biomarkers Group, Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Christopher J. Millett
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, United Kingdom
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Pietro Ferrari
- Nutritional Methodology and Biostatistics Group, Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | | | - H. Bas Bueno-de-Mesquita
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Torkjel M. Sandanger
- Department of Community Medicine, Faculty of Health Sciences, UiT, The Arctic University of Norway, Tromsø, Norway
| | - Daniel B. Ibsen
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Heinz Freisling
- Nutritional Methodology and Biostatistics Group, Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Stina Ramne
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Franziska Jannasch
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- NutriAct—Competence Cluster Nutrition Research Berlin-Potsdam, Nuthetal, Germany
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Sciences, University of Potsdam, Nuthetal, Germany
| | - Konstantinos K. Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Eva Ardanaz
- Navarra Public Health Institute, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Biomedical Research Networking Center for Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Stina Bodén
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Lluís Cirera
- Biomedical Research Networking Center for Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council—IMIB-Arrixaca, Murcia, Spain
- Department of Health and Social Sciences, University of Murcia, Murcia, Spain
| | - Giuliana Gargano
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Jytte Halkjær
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Paula Jakszyn
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO-IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain
- Blanquerna School of Health Sciences, Ramon Llull University, Barcelona, Spain
| | - Ingegerd Johansson
- School of Dentistry, Cariology, Department of Odontology, Umeå University, Umeå, Sweden
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Miguel Rodriguez-Barranco
- Biomedical Research Networking Center for Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Andalusian School of Public Health (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Universidad de Granada, Granada, Spain
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Centre for Cancer Prevention (CPO), Turin, Italy
| | - Bernard Srour
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Azienda Sanitaria Provinciale Ragusa (ASP 7), Ragusa, Italy
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Marc J. Gunter
- Nutritional Epidemiology Group, Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Andrew D. Jones
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Carl Lachat
- Department of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
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Zhou B, Carrillo-Larco RM, Danaei G, Riley LM, Paciorek CJ, Stevens GA, Gregg EW, Bennett JE, Solomon B, Singleton RK, Sophiea MK, Iurilli MLC, Lhoste VPF, Cowan MJ, Savin S, Woodward M, Balanova Y, Cifkova R, Damasceno A, Elliott P, Farzadfar F, He J, Ikeda N, Kengne AP, Khang YH, Kim HC, Laxmaiah A, Lin HH, Margozzini Maira P, Miranda JJ, Neuhauser H, Sundström J, Varghese C, Widyahening IS, Zdrojewski T, Abarca-Gómez L, Abdeen ZA, Abdul Rahim HF, Abu-Rmeileh NM, Acosta-Cazares B, Adams RJ, Aekplakorn W, Afsana K, Afzal S, Agdeppa IA, Aghazadeh-Attari J, Aguilar-Salinas CA, Agyemang C, Ahmad NA, Ahmadi A, Ahmadi N, Ahmadi N, Ahmadizar F, Ahmed SH, Ahrens W, Ajlouni K, Al-Raddadi R, Alarouj M, AlBuhairan F, AlDhukair S, Ali MM, Alkandari A, Alkerwi A, Allin K, Aly E, Amarapurkar DN, Amougou N, Amouyel P, Andersen LB, Anderssen SA, Anjana RM, Ansari-Moghaddam A, Ansong D, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arku RE, Arlappa N, Aryal KK, Aspelund T, Assah FK, Assunção MCF, 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Keinänen-Kiukaanniemi S, Kelishadi R, Kemper HCG, Keramati M, Kerimkulova A, Kersting M, Key T, Khader YS, Khalili D, Khaw KT, Kheiri B, Kheradmand M, Khosravi A, Kiechl-Kohlendorfer U, Kiechl S, Killewo J, Kim DW, Kim J, Klakk H, Klimek M, Klumbiene J, Knoflach M, Kolle E, Kolsteren P, Kontto JP, Korpelainen R, Korrovits P, Kos J, Koskinen S, Kouda K, Kowlessur S, Koziel S, Kratenova J, Kriaucioniene V, Kristensen PL, Krokstad S, Kromhout D, Kruger HS, Kubinova R, Kuciene R, Kujala UM, Kulaga Z, Kumar RK, Kurjata P, Kusuma YS, Kutsenko V, Kuulasmaa K, Kyobutungi C, Laatikainen T, Lachat C, Laid Y, Lam TH, Landrove O, Lanska V, Lappas G, Larijani B, Latt TS, Le Coroller G, Le Nguyen Bao K, Le TD, Lee J, Lee J, Lehmann N, Lehtimäki T, Lemogoum D, Levitt NS, Li Y, Lilly CL, Lim WY, Lima-Costa MF, Lin X, Lin YT, Lind L, Lingam V, Linneberg A, Lissner L, Litwin M, Lo WC, Loit HM, Lopez-Garcia E, Lopez T, Lotufo PA, Lozano JE, Lukačević Lovrenčić I, Lukrafka JL, Luksiene D, Lundqvist A, Lundqvist R, Lunet N, Lustigová M, Luszczki E, Ma G, Ma J, Machado-Coelho GLL, Machado-Rodrigues AM, Macia E, Macieira LM, Madar AA, Maggi S, Magliano DJ, Magriplis E, Mahasampath G, Maire B, Majer M, Makdisse M, Malekzadeh F, Malekzadeh R, Malhotra R, Mallikharjuna Rao K, Malyutina SK, Maniego LV, Manios Y, Mann JI, Mansour-Ghanaei F, Manzato E, Marcil A, Mårild SB, Marinović Glavić M, Marques-Vidal P, Marques LP, Marrugat J, Martorell R, Mascarenhas LP, Matasin M, Mathiesen EB, Mathur P, Matijasevich A, Matlosz P, Matsha TE, Mavrogianni C, Mbanya JCN, Mc Donald Posso AJ, McFarlane SR, McGarvey ST, McLachlan S, McLean RM, McLean SB, McNulty BA, Mediene Benchekor S, Medzioniene J, Mehdipour P, Mehlig K, Mehrparvar AH, Meirhaeghe A, Meisinger C, Mendoza Montano C, Menezes AMB, Menon GR, Mereke A, Meshram II, Metspalu A, Meyer HE, Mi J, Michels N, Mikkel K, Milkowska K, Miller JC, Minderico CS, Mini GK, Mirjalili MR, Mirrakhimov E, Mišigoj-Duraković M, Modesti PA, Moghaddam SS, Mohajer B, Mohamed MK, Mohamed SF, Mohammad K, Mohammadi MR, Mohammadi Z, Mohammadifard N, Mohammadpourhodki R, Mohan V, Mohanna S, Mohd Yusoff MF, Mohebbi I, Mohebi F, Moitry M, Møllehave LT, Molnár D, Momenan A, Mondo CK, Monterrubio-Flores E, Monyeki KDK, Moon JS, Moosazadeh M, Moreira LB, Morejon A, Moreno LA, Morgan K, Moschonis G, Mossakowska M, Mostafa A, Mostafavi SA, Mota J, Motlagh ME, Motta J, Moura-dos-Santos MA, Mridha MK, Msyamboza KP, Mu TT, Muhihi AJ, Muiesan ML, Müller-Nurasyid M, Murphy N, Mursu J, Musa KI, Musić Milanović S, Musil V, Mustafa N, Nabipour I, Naderimagham S, Nagel G, Naidu BM, Najafi F, Nakamura H, Námešná J, Nang EEK, Nangia VB, Narake S, Ndiaye NC, Neal WA, Nejatizadeh A, Nenko I, Neovius M, Nguyen CT, Nguyen ND, Nguyen QV, Nguyen QN, Nieto-Martínez RE, Niiranen TJ, Nikitin YP, Ninomiya T, Nishtar S, Njelekela MA, Noale M, Noboa OA, Noorbala AA, Norat T, Nordendahl M, Nordestgaard BG, Noto D, Nowak-Szczepanska N, Nsour MA, Nunes B, O'Neill TW, O'Reilly D, Ochimana C, Oda E, Odili AN, Oh K, Ohara K, Ohtsuka R, Olié V, Olinto MTA, Oliveira IO, Omar MA, Onat A, Ong SK, Ono LM, Ordunez P, Ornelas R, Ortiz PJ, Osmond C, Ostojic SM, Ostovar A, Otero JA, Overvad K, Owusu-Dabo E, Paccaud FM, Padez C, Pahomova E, Paiva KMD, Pająk A, Palli D, Palmieri L, Pan WH, Panda-Jonas S, Panza F, Paoli M, Papandreou D, Park SW, Park S, Parnell WR, Parsaeian M, Pasquet P, Patel ND, Pavlyshyn H, Pećin I, Pednekar MS, Pedro JM, Peer N, Peixoto SV, Peltonen M, Pereira AC, Peres KGDA, Peres MA, Peters A, Petkeviciene J, Peykari N, Pham ST, Pichardo RN, Pigeot I, Pikhart H, Pilav A, Pilotto L, Pitakaka F, Piwonska A, Pizarro AN, Plans-Rubió P, Polašek O, Porta M, Poudyal A, Pourfarzi F, Pourshams A, Poustchi H, Pradeepa R, Price AJ, Price JF, Providencia R, Puhakka SE, Puiu M, Punab M, Qasrawi RF, Qorbani M, Queiroz D, Quoc Bao T, Radić I, Radisauskas R, Rahimikazerooni S, Rahman M, Raitakari O, Raj M, Rakhimova EM, Ramachandra Rao S, Ramachandran A, Ramos E, Rampal L, Rampal S, Rangel Reina DA, Rarra V, Rech CR, Redon J, Reganit PFM, Regecová V, Revilla L, Rezaianzadeh A, Ribeiro R, Riboli E, Richter A, Rigo F, Rinke de Wit TF, Ritti-Dias RM, Robitaille C, Rodríguez-Artalejo F, Rodriguez-Perez MDC, Rodríguez-Villamizar LA, Roggenbuck U, Rojas-Martinez R, Romaguera D, Romeo EL, Rosengren A, Roy JGR, Rubinstein A, Ruidavets JB, Ruiz-Betancourt BS, Ruiz-Castell M, Rusakova IA, Russo P, Rutkowski M, Sabanayagam C, Sabbaghi H, Sachdev HS, Sadjadi A, Safarpour AR, Safi S, Safiri S, Saidi O, Sakarya S, Saki N, Salanave B, Salazar Martinez E, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sans S, Santos DA, Santos IS, Santos LC, Santos MP, Santos R, Saramies JL, Sardinha LB, Sarganas G, Sarrafzadegan N, Sathish T, Saum KU, Savva S, Sawada N, Sbaraini M, Scazufca M, Schaan BD, Schargrodsky H, Schipf S, Schmidt CO, Schnohr P, Schöttker B, Schramm S, Schultsz C, Schutte AE, Sebert S, Sein AA, Sen A, Senbanjo IO, Sepanlou SG, Servais J, Shalnova SA, Shamah-Levy T, Shamshirgaran M, Shanthirani CS, Sharafkhah M, Sharma SK, Shaw JE, Shayanrad A, Shayesteh AA, Shi Z, Shibuya K, Shimizu-Furusawa H, Shin DW, Shirani M, Shiri R, Shrestha N, Si-Ramlee K, Siani A, Siantar R, Sibai AM, Silva CRDM, Silva DAS, Simon M, Simons J, Simons LA, Sjöström M, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, So HK, Soares FC, Sobngwi E, Söderberg S, Soemantri A, Sofat R, Solfrizzi V, Somi MH, Sonestedt E, Song Y, Sørensen TIA, Sørgjerd EP, Sorić M, Sossa Jérome C, Soumaré A, Sparboe-Nilsen B, Sparrenberger K, Staessen JA, Starc G, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stergiou GS, Stessman J, Stieber J, Stöckl D, Stocks T, Stokwiszewski J, Stronks K, Strufaldi MW, Suka M, Sun CA, Sung YT, Suriyawongpaisal P, Sy RG, Syddall HE, Sylva RC, Szklo M, Tai ES, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanser F, Tao Y, Tarawneh MR, Tarqui-Mamani CB, Taylor A, Taylor J, Tebar WR, Tell GS, Tello T, Tham YC, Thankappan KR, 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Mohamud WN, Wanderley Júnior RDS, Wang MD, Wang N, Wang Q, Wang X, Wang YX, Wang YW, Wannamethee SG, Wareham N, Wei W, Weres A, Werner B, Whincup PH, Widhalm K, Wiecek A, Wilks RJ, Willeit J, Willeit P, Williams EA, Wilsgaard T, Wojtyniak B, Wong-McClure RA, Wong A, Wong TY, Woo J, Wu FC, Wu S, Wyszynska J, Xu H, Xu L, Yaacob NA, Yan W, Yang L, Yang X, Yang Y, Yasuharu T, Ye X, Yiallouros PK, Yoosefi M, Yoshihara A, You SL, Younger-Coleman NO, Yusoff AF, Zainuddin AA, Zakavi SR, Zamani F, Zambon S, Zampelas A, Zapata ME, Zaw KK, Zejglicova K, Zeljkovic Vrkic T, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhen S, Zheng Y, Zholdin B, Zhu D, Zins M, Zitt E, Zocalo Y, Zoghlami N, Zuñiga Cisneros J, Ezzati M. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants. Lancet 2021; 398:957-980. [PMID: 34450083 PMCID: PMC8446938 DOI: 10.1016/s0140-6736(21)01330-1] [Citation(s) in RCA: 938] [Impact Index Per Article: 312.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 06/01/2021] [Accepted: 06/03/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Hypertension can be detected at the primary health-care level and low-cost treatments can effectively control hypertension. We aimed to measure the prevalence of hypertension and progress in its detection, treatment, and control from 1990 to 2019 for 200 countries and territories. METHODS We used data from 1990 to 2019 on people aged 30-79 years from population-representative studies with measurement of blood pressure and data on blood pressure treatment. We defined hypertension as having systolic blood pressure 140 mm Hg or greater, diastolic blood pressure 90 mm Hg or greater, or taking medication for hypertension. We applied a Bayesian hierarchical model to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control). The model allowed for trends over time to be non-linear and to vary by age. FINDINGS The number of people aged 30-79 years with hypertension doubled from 1990 to 2019, from 331 (95% credible interval 306-359) million women and 317 (292-344) million men in 1990 to 626 (584-668) million women and 652 (604-698) million men in 2019, despite stable global age-standardised prevalence. In 2019, age-standardised hypertension prevalence was lowest in Canada and Peru for both men and women; in Taiwan, South Korea, Japan, and some countries in western Europe including Switzerland, Spain, and the UK for women; and in several low-income and middle-income countries such as Eritrea, Bangladesh, Ethiopia, and Solomon Islands for men. Hypertension prevalence surpassed 50% for women in two countries and men in nine countries, in central and eastern Europe, central Asia, Oceania, and Latin America. Globally, 59% (55-62) of women and 49% (46-52) of men with hypertension reported a previous diagnosis of hypertension in 2019, and 47% (43-51) of women and 38% (35-41) of men were treated. Control rates among people with hypertension in 2019 were 23% (20-27) for women and 18% (16-21) for men. In 2019, treatment and control rates were highest in South Korea, Canada, and Iceland (treatment >70%; control >50%), followed by the USA, Costa Rica, Germany, Portugal, and Taiwan. Treatment rates were less than 25% for women and less than 20% for men in Nepal, Indonesia, and some countries in sub-Saharan Africa and Oceania. Control rates were below 10% for women and men in these countries and for men in some countries in north Africa, central and south Asia, and eastern Europe. Treatment and control rates have improved in most countries since 1990, but we found little change in most countries in sub-Saharan Africa and Oceania. Improvements were largest in high-income countries, central Europe, and some upper-middle-income and recently high-income countries including Costa Rica, Taiwan, Kazakhstan, South Africa, Brazil, Chile, Turkey, and Iran. INTERPRETATION Improvements in the detection, treatment, and control of hypertension have varied substantially across countries, with some middle-income countries now outperforming most high-income nations. The dual approach of reducing hypertension prevalence through primary prevention and enhancing its treatment and control is achievable not only in high-income countries but also in low-income and middle-income settings. FUNDING WHO.
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Strak M, Weinmayr G, Rodopoulou S, Chen J, de Hoogh K, Andersen ZJ, Atkinson R, Bauwelinck M, Bekkevold T, Bellander T, Boutron-Ruault MC, Brandt J, Cesaroni G, Concin H, Fecht D, Forastiere F, Gulliver J, Hertel O, Hoffmann B, Hvidtfeldt UA, Janssen NAH, Jöckel KH, Jørgensen JT, Ketzel M, Klompmaker JO, Lager A, Leander K, Liu S, Ljungman P, Magnusson PKE, Mehta AJ, Nagel G, Oftedal B, Pershagen G, Peters A, Raaschou-Nielsen O, Renzi M, Rizzuto D, van der Schouw YT, Schramm S, Severi G, Sigsgaard T, Sørensen M, Stafoggia M, Tjønneland A, Verschuren WMM, Vienneau D, Wolf K, Katsouyanni K, Brunekreef B, Hoek G, Samoli E. Long term exposure to low level air pollution and mortality in eight European cohorts within the ELAPSE project: pooled analysis. BMJ 2021; 374:n1904. [PMID: 34470785 PMCID: PMC8409282 DOI: 10.1136/bmj.n1904] [Citation(s) in RCA: 83] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
OBJECTIVE To investigate the associations between air pollution and mortality, focusing on associations below current European Union, United States, and World Health Organization standards and guidelines. DESIGN Pooled analysis of eight cohorts. SETTING Multicentre project Effects of Low-Level Air Pollution: A Study in Europe (ELAPSE) in six European countries. PARTICIPANTS 325 367 adults from the general population recruited mostly in the 1990s or 2000s with detailed lifestyle data. Stratified Cox proportional hazard models were used to analyse the associations between air pollution and mortality. Western Europe-wide land use regression models were used to characterise residential air pollution concentrations of ambient fine particulate matter (PM2.5), nitrogen dioxide, ozone, and black carbon. MAIN OUTCOME MEASURES Deaths due to natural causes and cause specific mortality. RESULTS Of 325 367 adults followed-up for an average of 19.5 years, 47 131 deaths were observed. Higher exposure to PM2.5, nitrogen dioxide, and black carbon was associated with significantly increased risk of almost all outcomes. An increase of 5 µg/m3 in PM2.5 was associated with 13% (95% confidence interval 10.6% to 15.5%) increase in natural deaths; the corresponding figure for a 10 µg/m3 increase in nitrogen dioxide was 8.6% (7% to 10.2%). Associations with PM2.5, nitrogen dioxide, and black carbon remained significant at low concentrations. For participants with exposures below the US standard of 12 µg/m3 an increase of 5 µg/m3 in PM2.5 was associated with 29.6% (14% to 47.4%) increase in natural deaths. CONCLUSIONS Our study contributes to the evidence that outdoor air pollution is associated with mortality even at low pollution levels below the current European and North American standards and WHO guideline values. These findings are therefore an important contribution to the debate about revision of air quality limits, guidelines, and standards, and future assessments by the Global Burden of Disease.
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Affiliation(s)
- Maciej Strak
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Sophia Rodopoulou
- Department of Hygiene, Epidemiology, and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Zorana J Andersen
- Department of Public Health, Section of Environment and Health, University of Copenhagen, Copenhagen, Denmark
| | - Richard Atkinson
- Population Health Research Institute, St George's, University of London, London, UK
| | - Mariska Bauwelinck
- Interface Demography - Department of Sociology, Vrije Universiteit Brussel, Brussels, Belgium
| | - Terese Bekkevold
- Department of Method Development and Analytics, Norwegian Institute of Public Health, Oslo, Norway
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | | | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Giulia Cesaroni
- Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy
| | - Hans Concin
- Agency for Preventive and Social Medicine (AKS), Bregenz, Austria
| | - Daniela Fecht
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Francesco Forastiere
- Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy
- Science Policy and Epidemiology Environmental Research Group King's College London, London, UK
| | - John Gulliver
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Centre for Environmental Health and Sustainability and School of Geography, Geology and the Environment, University of Leicester, Leicester, UK
| | - Ole Hertel
- Department of Bioscience, Aarhus University, Roskilde, Denmark
| | - Barbara Hoffmann
- Institute for Occupational, Social, and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | | | - Nicole A H Janssen
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry, and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Jeanette T Jørgensen
- Department of Public Health, Section of Environment and Health, University of Copenhagen, Copenhagen, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford, UK
| | - Jochem O Klompmaker
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
- Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Anton Lager
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Shuo Liu
- Department of Public Health, Section of Environment and Health, University of Copenhagen, Copenhagen, Denmark
| | - Petter Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Amar J Mehta
- Department of Public Health, Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Bente Oftedal
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
- Ludwig Maximilians Universität München, Munich, Germany
| | | | - Matteo Renzi
- Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Sara Schramm
- Institute for Medical Informatics, Biometry, and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Gianluca Severi
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" Team, CESP UMR1018, Paris, France
- Department of Statistics, Computer Science and Applications "G Parenti" (DISIA), University of Florence, Italy
| | - Torben Sigsgaard
- Department of Public Health, Environment, Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Mette Sørensen
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Massimo Stafoggia
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy
| | | | - W M Monique Verschuren
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology, and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
- Science Policy and Epidemiology Environmental Research Group King's College London, London, UK
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology, and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
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Wolf K, Hoffmann B, Andersen ZJ, Atkinson RW, Bauwelinck M, Bellander T, Brandt J, Brunekreef B, Cesaroni G, Chen J, de Faire U, de Hoogh K, Fecht D, Forastiere F, Gulliver J, Hertel O, Hvidtfeldt UA, Janssen NAH, Jørgensen JT, Katsouyanni K, Ketzel M, Klompmaker JO, Lager A, Liu S, MacDonald CJ, Magnusson PKE, Mehta AJ, Nagel G, Oftedal B, Pedersen NL, Pershagen G, Raaschou-Nielsen O, Renzi M, Rizzuto D, Rodopoulou S, Samoli E, van der Schouw YT, Schramm S, Schwarze P, Sigsgaard T, Sørensen M, Stafoggia M, Strak M, Tjønneland A, Verschuren WMM, Vienneau D, Weinmayr G, Hoek G, Peters A, Ljungman PLS. Long-term exposure to low-level ambient air pollution and incidence of stroke and coronary heart disease: a pooled analysis of six European cohorts within the ELAPSE project. Lancet Planet Health 2021; 5:e620-e632. [PMID: 34508683 DOI: 10.1016/s2542-5196(21)00195-9] [Citation(s) in RCA: 101] [Impact Index Per Article: 33.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 06/23/2021] [Accepted: 07/02/2021] [Indexed: 05/07/2023]
Abstract
BACKGROUND Long-term exposure to outdoor air pollution increases the risk of cardiovascular disease, but evidence is unclear on the health effects of exposure to pollutant concentrations lower than current EU and US standards and WHO guideline limits. Within the multicentre study Effects of Low-Level Air Pollution: A Study in Europe (ELAPSE), we investigated the associations of long-term exposures to fine particulate matter (PM2·5), nitrogen dioxide (NO2), black carbon, and warm-season ozone (O3) with the incidence of stroke and acute coronary heart disease. METHODS We did a pooled analysis of individual data from six population-based cohort studies within ELAPSE, from Sweden, Denmark, the Netherlands, and Germany (recruited 1992-2004), and harmonised individual and area-level variables between cohorts. Participants (all adults) were followed up until migration from the study area, death, or incident stroke or coronary heart disease, or end of follow-up (2011-15). Mean 2010 air pollution concentrations from centrally developed European-wide land use regression models were assigned to participants' baseline residential addresses. We used Cox proportional hazards models with increasing levels of covariate adjustment to investigate the association of air pollution exposure with incidence of stroke and coronary heart disease. We assessed the shape of the concentration-response function and did subset analyses of participants living at pollutant concentrations lower than predefined values. FINDINGS From the pooled ELAPSE cohorts, data on 137 148 participants were analysed in our fully adjusted model. During a median follow-up of 17·2 years (IQR 13·8-19·5), we observed 6950 incident events of stroke and 10 071 incident events of coronary heart disease. Incidence of stroke was associated with PM2·5 (hazard ratio 1·10 [95% CI 1·01-1·21] per 5 μg/m3 increase), NO2 (1·08 [1·04-1·12] per 10 μg/m3 increase), and black carbon (1·06 [1·02-1·10] per 0·5 10-5/m increase), whereas coronary heart disease incidence was only associated with NO2 (1·04 [1·01-1·07]). Warm-season O3 was not associated with an increase in either outcome. Concentration-response curves indicated no evidence of a threshold below which air pollutant concentrations are not harmful for cardiovascular health. Effect estimates for PM2·5 and NO2 remained elevated even when restricting analyses to participants exposed to pollutant concentrations lower than the EU limit values of 25 μg/m3 for PM2·5 and 40 μg/m3 for NO2. INTERPRETATION Long-term air pollution exposure was associated with incidence of stroke and coronary heart disease, even at pollutant concentrations lower than current limit values. FUNDING Health Effects Institute.
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Affiliation(s)
- Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Zorana J Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Richard W Atkinson
- Population Health Research Institute, St George's, University of London, London, UK
| | - Mariska Bauwelinck
- Interface Demography, Department of Sociology, Vrije Universiteit Brussel, Brussels, Belgium
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate, Interdisciplinary Centre for Climate Change, Aarhus University, Denmark
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Giulia Cesaroni
- Department of Epidemiology-Lazio Regional Health Service, ASL Roma 1, Rome, Italy
| | - Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Ulf de Faire
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Daniela Fecht
- School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - Francesco Forastiere
- Department of Epidemiology-Lazio Regional Health Service, ASL Roma 1, Rome, Italy; School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - John Gulliver
- School of Public Health, Faculty of Medicine, Imperial College London, London, UK; Centre for Environmental Health and Sustainability, University of Leicester, Leicester, UK; School of Geography, Geology and the Environment, University of Leicester, Leicester, UK
| | - Ole Hertel
- Department of Bioscience, Aarhus University, Roskilde, Denmark
| | | | - Nicole A H Janssen
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Jeanette T Jørgensen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Klea Katsouyanni
- School of Public Health, Faculty of Medicine, Imperial College London, London, UK; Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research, University of Surrey, Surrey, UK
| | - Jochem O Klompmaker
- National Institute for Public Health and the Environment, Bilthoven, Netherlands; Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Anton Lager
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Shuo Liu
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Conor J MacDonald
- INSERM U1018, CESP, Institut Gustave Roussy, Université Paris-Saclay, Université Paris-Sud, Villejuif, France
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Amar J Mehta
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Bente Oftedal
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Ole Raaschou-Nielsen
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Matteo Renzi
- Department of Epidemiology-Lazio Regional Health Service, ASL Roma 1, Rome, Italy
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Sophia Rodopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Sara Schramm
- Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, University Hospital Essen, Essen, Germany
| | - Per Schwarze
- Global Health Cluster, Norwegian Institute of Public Health, Oslo, Norway
| | - Torben Sigsgaard
- Department of Public Health, Environment Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Mette Sørensen
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Massimo Stafoggia
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Epidemiology-Lazio Regional Health Service, ASL Roma 1, Rome, Italy
| | - Maciek Strak
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands; National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | | | - W M Monique Verschuren
- National Institute for Public Health and the Environment, Bilthoven, Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany; Ludwig Maximilians Universität München, Munich, Germany
| | - Petter L S Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden
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