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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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Carballo-Casla A, Stefler D, Ortolá R, Chen Y, Knuppel A, Kubinova R, Pajak A, Rodríguez-Artalejo F, Brunner EJ, Bobak M. The Southern European Atlantic diet and all-cause and cause-specific mortality: a European multicohort study. Eur J Prev Cardiol 2024; 31:358-367. [PMID: 38102063 PMCID: PMC10873144 DOI: 10.1093/eurjpc/zwad370] [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: 10/11/2023] [Revised: 11/24/2023] [Accepted: 11/25/2023] [Indexed: 12/17/2023]
Abstract
AIMS The Southern European Atlantic diet (SEAD) is the traditional dietary pattern of northwestern Spain and northern Portugal, but it may resemble that of central, eastern, and western European countries. The SEAD has been found associated with lower risk of myocardial infarction and mortality in older adults, but it is uncertain whether this association also exists in other European populations and if it is similar as that found in its countries of origin. METHODS AND RESULTS We conducted a prospective analysis of four cohorts with 35 917 subjects aged 18-96 years: ENRICA (Spain), HAPIEE (Czechia and Poland), and Whitehall II (United Kingdom). The SEAD comprised fresh fish, cod, red meat and pork products, dairy, legumes and vegetables, vegetable soup, potatoes, whole-grain bread, and moderate wine consumption. Associations were adjusted for sociodemographic variables, energy intake, lifestyle, and morbidity. After a median follow-up of 13.6 years (range = 0-15), we recorded 4 973 all-cause, 1 581 cardiovascular, and 1 814 cancer deaths. Higher adherence to the SEAD was associated with lower mortality in the pooled sample. Fully adjusted hazard ratios and 95% confidence interval per 1-standard deviation increment in the SEAD were 0.92 (0.89, 0.95), 0.91 (0.86, 0.96), and 0.94 (0.89, 0.99) for all-cause, cardiovascular, and cancer mortality, respectively. The association of the SEAD with all-cause mortality was not significantly different between countries [Spain = 0.93 (0.88, 0.99), Czechia = 0.94 (0.89,0.99), Poland = 0.89 (0.85, 0.93), United Kingdom = 0.98 (0.89, 1.07); P for interaction = 0.16]. CONCLUSION The SEAD was associated with lower all-cause, cardiovascular, and cancer mortality in southern, central, eastern, and western European populations. Associations were of similar magnitude as those found for existing healthy dietary patterns.
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Affiliation(s)
- Adrián Carballo-Casla
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Calle del Arzobispo Morcillo 4, 28029 Madrid, Spain
- Center for Networked Biomedical Research in Epidemiology and Public Health (CIBERESP), Avenida de Monforte de Lemos 3-5, 28029 Madrid, Spain
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 7HB, UK
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet & Stockholm University, Tomtebodavägen 18 A SE-171 77 Stockholm, Sweden
| | - Denes Stefler
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 7HB, UK
| | - Rosario Ortolá
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Calle del Arzobispo Morcillo 4, 28029 Madrid, Spain
- Center for Networked Biomedical Research in Epidemiology and Public Health (CIBERESP), Avenida de Monforte de Lemos 3-5, 28029 Madrid, Spain
| | - Yuntao Chen
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 7HB, UK
| | | | - Ruzena Kubinova
- Department of Environmental Health and Population Health Monitoring, National Institute of Public Health, Šrobárova 49/48, 100 00 Prague, Czech Republic
| | - Andrzej Pajak
- Department of Epidemiology and Population Studies, Faculty of Health Sciences, Institute of Public Health, Jagiellonian University Medical College, Ulica Skawińska 8, 31-066 Krakow, Poland
| | - Fernando Rodríguez-Artalejo
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Calle del Arzobispo Morcillo 4, 28029 Madrid, Spain
- Center for Networked Biomedical Research in Epidemiology and Public Health (CIBERESP), Avenida de Monforte de Lemos 3-5, 28029 Madrid, Spain
- Cardiovascular and Nutritional Epidemiology Group, CEI UAM+CSIC, IMDEA Research Institute on Food & Health Sciences, Carretera de Canto Blanco 8, 28049 Madrid, Spain
| | - Eric J Brunner
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 7HB, UK
| | - Martin Bobak
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 7HB, UK
- RECETOX, Faculty of Science, Masaryk University, Kotlářská 267/2, 611 37 Brno, Czech Republic
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JA, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stessman J, Stokwiszewski J, Stronks K, Suarez-Ortegón MF, Suebsamran P, Sundström J, Suriyawongpaisal P, Sylva RC, Szklo M, Tamosiunas A, Tarawneh MR, Tarqui-Mamani CB, Taylor A, Taylor J, Tello T, Thankappan KR, Theobald H, Theodoridis X, Thomas N, Thrift AG, Timmermans EJ, Tjandrarini DH, Tolonen HK, Tolstrup JS, Tomaszewski M, Topbas M, Torres-Collado L, Traissac P, Triantafyllou A, Tuitele J, Tuliakova AM, Tulloch-Reid MK, Tuomainen TP, Tzala E, Tzourio C, Ueda P, Ugel E, Ukoli FAM, Ulmer H, Uusitalo HMT, Valdivia G, van den Born BJ, Van der Heyden J, Van Minh H, van Rossem L, Van Schoor NM, van Valkengoed IGM, van Zutphen EM, Vanderschueren D, Vanuzzo D, Vasan SK, Vega T, Velasquez-Melendez G, Verstraeten R, Viet L, Villalpando S, Vioque J, Virtanen JK, Viswanathan B, Voutilainen A, Wan Bebakar WM, Wan Mohamud WN, Wang C, Wang N, Wang Q, Wang YX, Wang YW, Wannamethee SG, Webster-Kerr K, Wedderkopp N, Wei W, Westbury LD, Whincup PH, Widhalm K, Widyahening IS, Więcek A, Wilks RJ, Willeit J, Willeit P, Wilsgaard T, Wojtyniak B, Wong A, Wong EB, Woodward M, Wu FC, Xu H, Xu L, Yaacob NA, Yan L, Yan W, Yoosefi M, Yoshihara A, Younger-Coleman NO, Yu YL, Yu Y, Yusoff AF, Zainuddin AA, Zamani F, Zambon S, Zampelas A, Zaw KK, Zeljkovic Vrkic T, Zeng Y, Zhang ZY, Zholdin B, Zimmet P, Zitt E, Zoghlami N, Zuñiga Cisneros J, Ezzati M. Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c. Nat Med 2023; 29:2885-2901. [PMID: 37946056 PMCID: PMC10667106 DOI: 10.1038/s41591-023-02610-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 03/15/2023] [Accepted: 09/25/2023] [Indexed: 11/12/2023]
Abstract
Fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) are both used to diagnose diabetes, but these measurements can identify different people as having diabetes. We used data from 117 population-based studies and quantified, in different world regions, the prevalence of diagnosed diabetes, and whether those who were previously undiagnosed and detected as having diabetes in survey screening, had elevated FPG, HbA1c or both. We developed prediction equations for estimating the probability that a person without previously diagnosed diabetes, and at a specific level of FPG, had elevated HbA1c, and vice versa. The age-standardized proportion of diabetes that was previously undiagnosed and detected in survey screening ranged from 30% in the high-income western region to 66% in south Asia. Among those with screen-detected diabetes with either test, the age-standardized proportion who had elevated levels of both FPG and HbA1c was 29-39% across regions; the remainder had discordant elevation of FPG or HbA1c. In most low- and middle-income regions, isolated elevated HbA1c was more common than isolated elevated FPG. In these regions, the use of FPG alone may delay diabetes diagnosis and underestimate diabetes prevalence. Our prediction equations help allocate finite resources for measuring HbA1c to reduce the global shortfall in diabetes diagnosis and surveillance.
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Carballo-Casla A, Stefler D, Ortolá R, Chen Y, Knuppel A, Ruiz M, Kozela M, Kubinova R, Pajak A, Rodríguez-Artalejo F, Brunner EJ, Bobak M. The Southern European Atlantic diet and depression risk: a European multicohort study. Mol Psychiatry 2023; 28:3475-3483. [PMID: 37353584 PMCID: PMC10618086 DOI: 10.1038/s41380-023-02125-9] [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: 12/02/2022] [Revised: 05/11/2023] [Accepted: 06/08/2023] [Indexed: 06/25/2023]
Abstract
The Southern European Atlantic diet (SEAD) is the traditional dietary pattern of north-western Spain and northern Portugal, but it may resemble that of other European countries. The SEAD has been found associated with lower risk for myocardial infarction and mortality. Since dietary patterns may also influence mental health, we examined the association between the SEAD and depression risk in southern, central, eastern, and western European populations. We conducted a prospective analysis of five cohorts (13,297 participants aged 45-92 years, free of depression at baseline): Seniors-ENRICA-1 and Seniors-ENRICA-2 (Spain), HAPIEE (Czechia and Poland), and Whitehall-II (United Kingdom). The SEAD comprised cod, other fresh fish, red meat and pork products, dairy, legumes and vegetables, vegetable soup, potatoes, whole-grain bread, and moderate wine consumption. Depression at follow-up was defined according to presence of depressive symptoms (based on available scales), use of prescribed antidepressants, inpatient admissions, or self-reported diagnosis. Associations were adjusted for sociodemographic, lifestyle, and dietary variables. During a median follow-up of 3.9 years (interquartile range 3.4-4.9), there were 1437 new depression cases. Higher adherence to the SEAD was associated with lower depression risk in the pooled sample. Individual food groups showed a similar tendency, albeit non-significant. The fully adjusted odds ratio (95% confidence interval) per 1-standard deviation increment in the SEAD was 0.91 (0.86, 0.96). This association was rather consistent across countries [Spain = 0.86 (0.75, 0.99), Czechia = 0.86 (0.75, 0.99), Poland = 0.97 (0.89, 1.06), United Kingdom = 0.85 (0.75, 0.97); p for interaction = 0.24], and was of similar magnitude as that found for existing healthy dietary patterns. In conclusion, the SEAD was associated with lower depression risk across European populations. This may support the development of mood disorder guidelines for Southern European Atlantic regions based on their traditional diet, and for central, eastern, and western European populations based on the SEAD food groups that are culturally rooted in these places.
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Affiliation(s)
- Adrián Carballo-Casla
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain. Center for Networked Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
- Department of Epidemiology and Public Health, University College London, London, UK.
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet & Stockholm University, Stockholm, Sweden.
| | - Denes Stefler
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Rosario Ortolá
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain. Center for Networked Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Yuntao Chen
- Department of Epidemiology and Public Health, University College London, London, UK
| | | | - Milagros Ruiz
- Department of Epidemiology and Public Health, University College London, London, UK
- School of Health and Social Care, University of Essex, Colchester, UK
| | - Magdalena Kozela
- Department of Epidemiology and Population Studies, Jagiellonian University Medical College, Krakow, Poland
| | | | - Andrzej Pajak
- Department of Epidemiology and Population Studies, Jagiellonian University Medical College, Krakow, Poland
| | - Fernando Rodríguez-Artalejo
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain. Center for Networked Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- IMDEA Research Institute on Food & Health Sciences. CEI UAM+CSIC, Madrid, Spain
| | - Eric J Brunner
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Martin Bobak
- Department of Epidemiology and Public Health, University College London, London, UK
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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, González-Leon M, González-Rivas JP, González-Villalpando C, González-Villalpando ME, Gonzalez AR, Gottrand F, Graça AP, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Gregório MJ, Grøholt EK, Grøntved A, Grosso G, Gruden G, Gu D, Guajardo V, Gualdi-Russo E, Guallar-Castillón P, Gualtieri A, Gudmundsson EF, Gudnason V, Guerrero R, Guessous I, Guimaraes AL, Gulliford MC, Gunnlaugsdottir J, Gunter MJ, Guo XH, Guo Y, Gupta PC, Gupta R, Gureje O, González EG, Gutierrez L, Gutzwiller F, Gwee X, Ha S, Hadaegh F, Hadjigeorgiou CA, Haghshenas R, Hakimi H, Halkjær J, Hambleton IR, Hamzeh B, Hanekom WA, Hange D, Hanif AAM, Hantunen S, Hao J, Hardman CM, Kumar RH, Lassen TH, Harooni J, Hashemi-Shahri SM, Hassapidou M, Hata J, Haugsgjerd T, Hayes AJ, He J, He Y, He Y, Heidinger-Felső R, Heier M, Hejgaard T, Hendriks ME, dos Santos Henrique R, Henriques A, Cadena LH, Herrala S, Herrera-Cuenca M, Herrera VM, Herter-Aeberli I, Herzig KH, Heshmat R, Hill AG, Ho SY, Ho SC, Hobbs M, Höfelmann DA, Holdsworth M, Homayounfar R, Homs C, Hopman WM, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Htike MMT, Hu Y, Huerta JM, Huhtaniemi IT, Huiart L, Petrescu CH, Huisman M, Husseini A, Huu CN, Huybrechts I, Hwalla N, Hyska J, Iacoviello L, Iakupova EM, Ibarluzea JM, Ibrahim MM, Wong NI, Ikram MA, Iñiguez C, Iotova V, Irazola VE, Ishida T, Isiguzo GC, Islam M, Islam SMS, Islek D, Ivanova-Pandourska IY, Iwasaki M, Jääskeläinen T, Jackson RT, Jacobs JM, Jadoul M, Jafar T, Jallow B, James K, Jamil KM, Jamrozik K, Jansson A, Janszky I, Janus E, Jarani J, Jarvelin MR, Jasienska G, Jelaković A, Jelaković B, Jennings G, Jiang CQ, Jimenez RO, Jöckel KH, Joffres M, Jokelainen JJ, Jonas JB, Jonnagaddala J, Jørgensen T, Joshi P, Josipović J, Joukar F, Jóźwiak JJ, Judge DS, Juolevi A, Jurak G, Simina IJ, Juresa V, Kaaks R, Kaducu FO, Kafatos A, Kaj M, Kajantie EO, Kakutia N, Kállayová D, Kalmatayeva Z, Kalter-Leibovici O, Kameli Y, Kampmann FB, 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Moghaddam SS, Mohajer B, Mohamed MK, Mohamed SF, Mohammad K, Mohammadi MR, Mohammadi Z, Mohammadifard N, Mohammadpourhodki R, Mohan V, Mohanna S, Yusoff MFM, Mohebbi I, Mohebi F, Moitry M, Møllehave LT, Møller NC, Molnár D, Momenan A, Mondo CK, Montenegro Mendoza RA, Monterrubio-Flores E, Monyeki KDK, Moon JS, Moosazadeh M, Mopa HT, Moradpour F, Moreira LB, Morejon A, Moreno LA, Morey F, Morgan K, Morin SN, Mortensen EL, Moschonis G, Moslem A, Mossakowska M, Mostafa A, Mostafavi SA, Mota-Pinto A, Mota J, Motlagh ME, Motta J, Moura-dos-Santos MA, Movsesyan Y, Msyamboza KP, Mu TT, Muc M, Muca F, Mugoša B, Muiesan ML, Müller-Nurasyid M, Münzel T, Mursu J, Murtagh EM, Musa KI, Milanović SM, Musil V, Musinguzi G, Muyer MTMC, Nabipour I, Naderimagham S, Nagel G, Najafi F, Nakamura H, Nalecz H, Námešná J, Nang EEK, Nangia VB, Nankap M, Narake S, Nardone P, Naseri T, Nauck M, Neal WA, Nejatizadeh A, Nekkantti C, Nelis K, Nenko I, Neovius M, Nervi F, Ng TP, Nguyen CT, Nguyen ND, Nguyen QN, Ni MY, Nicolescu R, Nie P, Nieto-Martínez RE, Nikitin YP, Ning G, Ninomiya T, Nishi N, Nishtar S, Noale M, Noboa OA, Nogueira H, Nordendahl M, Nordestgaard BG, Noto D, Nowak-Szczepanska N, Nsour MA, Nuhoğlu I, Nunes B, Nurk E, Nuwaha F, Nyirenda M, O’Neill TW, O’Reilly D, Obreja G, Ochimana C, Ochoa-Avilés AM, Oda E, Odili AN, Oh K, Ohara K, Ohlsson C, Ohtsuka R, Olafsson Ö, Olinto MTA, Oliveira IO, Omar MA, Omar SM, Onat A, Ong SK, Onland-Moret NC, Ono LM, Ordunez P, Ornelas R, Ortiz AP, Ortiz PJ, Osler M, Osmond C, Ostojic SM, Ostovar A, Otero JA, Overvad K, Owusu-Dabo E, Paccaud FM, Pagkalos I, Pahomova E, de Paiva KM, Pająk A, Palloni A, Palmieri L, Pan WH, Panda-Jonas S, Pandey A, 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, Pérez CM, Peterkova V, Peters A, Petersmann A, Petkeviciene J, Petrauskiene A, Kovtun OP, Pettenuzzo E, Peykari N, Pfeiffer N, Phall MC, Pham ST, Pichardo RN, Pierannunzio D, Pigeot I, Pikhart H, Pilav A, Pilotto L, Pistelli F, Pitakaka F, Piwonska A, Pizarro AN, Plans-Rubió P, Platonova AG, Poh BK, Pohlabeln H, Polka NS, Pop RM, Popovic SR, Porta M, Posch G, Poudyal A, Poulimeneas D, Pouraram H, Pourfarzi F, Pourshams A, Poustchi H, Pradeepa R, Price AJ, Price JF, Prista A, Providencia R, Puder JJ, Pudule I, Puiu M, Punab M, Qadir MS, Qasrawi RF, Qorbani M, Quintana HK, Quiroga-Padilla PJ, Bao TQ, Rach S, Radic I, Radisauskas R, Rahimikazerooni S, Rahman M, Rahman M, Raitakari O, Raj M, Rajabov T, Rakhmatulloev S, Rakovac I, Rao SR, Ramachandran A, Ramadan OPC, Ramires VV, Ramke J, Ramos E, Ramos R, Rampal L, Rampal S, Rangelova LS, Rarra V, Rascon-Pacheco RA, Rech CR, Redon J, Reganit PFM, Regecová V, Renner JDP, Repasy JA, Reuter CP, Revilla L, Rezaianzadeh A, Rho Y, Ribas-Barba L, Ribeiro R, Riboli E, Richter A, Rigo F, Rigotti A, Rinaldo N, Rinke de Wit TF, Rito AI, Ritti-Dias RM, Rivera JA, Roa RG, Robinson L, Robitaille C, Roccaldo R, Rodrigues D, Rodríguez-Artalejo F, del Cristo Rodriguez-Perez M, 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, Moreno ER, Rusakova IA, Jonsson KR, Russo P, Rust P, Rutkowski M, Saamel M, Sabanayagam C, Sabbaghi H, Sacchini E, Sachdev HS, Sadjadi A, Safarpour AR, Safi S, Safiri S, Saghi MH, Saidi O, Saki N, Šalaj S, Salanave B, Martinez ES, Saleva C, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Samoutian M, Sánchez-Abanto J, Rodríguez IS, Sandjaja, Sans S, Marina LS, 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, 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 EP, Jérome CS, 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, Staub K, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, 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, Suka M, Sun CA, Sun L, Sundström J, Sung YT, Sunyer J, Suriyawongpaisal P, Sweis NWG, Swinburn BA, Sy RG, Sylva RC, Szklo M, Szponar L, Tabone L, Tai ES, Tambalis KD, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanrygulyyeva M, Tanser F, Tao Y, Tarawneh MR, Tarp J, Tarqui-Mamani CB, Braunerová RT, Taylor A, Taylor J, Tchibindat F, Te Velde S, Tebar WR, Tell GS, Tello T, Tham YC, Thankappan KR, Theobald H, Theodoridis X, Thomas N, Thorand B, Thuesen BH, Tichá Ľ, Timmermans EJ, Tjandrarini DH, Tjonneland A, Tolonen HK, Tolstrup JS, Topbas M, Topór-Mądry R, Torheim LE, Tormo MJ, 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, Tsao YH, Tshepo L, Tsigga M, Tsintavis P, Tsugane S, Tuitele J, Tuliakova AM, Tulloch-Reid MK, Tullu F, Tuomainen TP, Tuomilehto J, Turley ML, Twig G, Tynelius P, Tzala E, Tzotzas T, Tzourio C, 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, 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, Virtanen JK, Visvikis-Siest S, Viswanathan B, Vladulescu M, Vlasoff T, Vocanec D, Vollenweider P, Völzke H, Voutilainen A, Vrijheid M, 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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Carballo-Casla A, Stefler D, Ortolá R, Chen Y, Kubinova R, Pajak A, Malyutina S, Rodríguez-Artalejo F, Brunner EJ, Bobak M. The Southern European Atlantic Diet and depression incidence: a multicohort study. Eur J Public Health 2022. [DOI: 10.1093/eurpub/ckac129.552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
The Southern European Atlantic Diet (SEAD) is the traditional diet of Northern Portugal and North-Western Spain, but it may resemble that of other European countries. Higher adherence to SEAD has been associated with lower risk for myocardial infarction and all-cause mortality, but its relationship with mental health is uncertain. We examined the association between SEAD and depression incidence in Southern, Central, and Eastern Europe.
Methods
We used data from participants ≥45 years from the Seniors-ENRICA-2 and HAPIEE cohorts, who were followed for a median time of 3.6 years. SEAD comprised fresh fish, cod, red meat and pork products, dairy, legumes and vegetables, vegetable soup, potatoes, whole-grain bread, and wine. Depressive symptoms were assessed with the GDS 10 and the CES-D 10 (participants with scores ≥4 were considered depression cases). Statistical analyses were performed among the 14675 participants who were depression-free at baseline.
Results
Higher adherence to SEAD was preliminarily associated with lower depression incidence in the pooled sample (fully adjusted odds ratio [95% confidence interval] per 1-SD increment in the SEAD = 0.93 [0.89,0.98]). Results were consistent in Spain (odds ratio [95% confidence interval] 0.86 [0.68,1.08]), Czechia (0.92 [0.82,1.04]), Poland (0.94 [0.88,1.01]), and Russia (0.93 [0.87,1.00]). The association of SEAD with depression in the pooled sample was similar to that found for the Alternate Healthy Eating Index (odds ratio [95% confidence interval] per 1-SD increment = 0.94 [0.89,0.99]) and the Mediterranean Dietary Score (0.94 [0.90,0.98]).
Conclusions
Adherence to SEAD was preliminarily associated with lower depression incidence in Spain, Czechia, Poland, and Russia. These findings may support the development of mental health guidelines for Southern European Atlantic populations based on their traditional diet, and for Central and Eastern European countries based on the food components of SEAD.
Key messages
• Adherence to the Southern European Atlantic Diet (traditional diet of Northern Portugal and North-Western Spain) was associated with lower depression incidence in Spain, Czechia, Poland, and Russia.
• Mental health guidelines for Southern European Atlantic populations may reference their traditional diet, while those for Central and Eastern Europe could benefit from including its food components.
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Affiliation(s)
- A Carballo-Casla
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid , Madrid, Spain
- CIBER of Epidemiology and Public Health, CIBERESP , Madrid, Spain
| | - D Stefler
- Department of Epidemiology and Public Health, University College London , London, UK
| | - R Ortolá
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid , Madrid, Spain
- CIBER of Epidemiology and Public Health, CIBERESP , Madrid, Spain
| | - Y Chen
- Department of Epidemiology and Public Health, University College London , London, UK
| | - R Kubinova
- National Institute of Public Health , Prague, Czechia
| | - A Pajak
- Department of Epidemiology and Population Studies, Jagiellonian University Collegium Medicum , Krakow, Poland
| | | | - F Rodríguez-Artalejo
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid , Madrid, Spain
- CIBER of Epidemiology and Public Health, CIBERESP , Madrid, Spain
- IMDEA Food Institute , CEI UAM+CSIC, Madrid, Spain
| | - EJ Brunner
- Department of Epidemiology and Public Health, University College London , London, UK
| | - M Bobak
- Department of Epidemiology and Public Health, University College London , London, UK
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Hageman SHJ, Lu W, Kaptoge S, Lall K, Bobak M, Pikhart H, Kubinova R, Pajak A, Tamosiunas A, Stang A, Schmidt B, Schramm S, Di Angelantonio E, Visseren FLJ, Dorresteijn JAN. Prediction of lifetime cardiovascular risk and individual lifetime treatment benefit in four European risk regions: geographic recalibration of the LIFE-CVD model. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
The life expectancy free of cardiovascular disease (CVD) in individuals without previous CVD can be estimated with the LIFEtime-perspective CardioVascular Disease (LIFE-CVD) model, as recommended by the 2021 ESC CVD prevention guidelines. Our aim was to systematically recalibrate the LIFE-CVD model to four European risk regions using contemporary and representative registry data.
Methods and results
The LIFE-CVD model was systematically recalibrated to four distinct risk regions within Europe, using representative aggregate data on age- and sex-specific expected CVD and non-CVD mortality incidences and risk factor distributions. For external validation, 1,451,077 individuals without previous CVD were included from seven European cohorts, with 53,721 CVD events and 62,902 non-CVD deaths during follow up. After applying the recalibrated risk prediction models to external validation cohorts, C-indices (figure 1) ranged from 0.670 (95% CI 0.650–0.690) to 0.787 (95% CI 0.785–0.789). Predicted risks matched the observed risks in the CPRD data. With the recalibrated LIFE-CVD model, the estimated gain in CVD-free life expectancy from preventive therapy differed per region, for example a 50-year-old smoking women with a systolic blood pressure of 140mm Hg was estimated to gain 0.4 years of CVD-free life from 10 mm Hg SBP reduction in the low risk region, whereas this would be 1.5 years in the very high risk region (figure 2).
Interpretation
By taking into account geographical differences in CVD incidence, the recalibrated LIFE-CVD model provides a more accurate tool for the prediction of lifetime risk and CVD-free life expectancy for individuals without previous CVD, facilitating shared decision-making in cardiovascular prevention options as recommended by the 2021 European Prevention Guidelines.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- S H J Hageman
- University Medical Center Utrecht, Department of vascular medicine , Utrecht , The Netherlands
| | - W Lu
- University College London, Department of Epidemiology and Public Health , London , United Kingdom
| | - S Kaptoge
- University of Cambridge, Department of Public Health and Primary Care , Cambridge , United Kingdom
| | - K Lall
- University of Tartu, Estonian Genome Centre , Tartu , Estonia
| | - M Bobak
- University College London, Department of Epidemiology and Public Health , London , United Kingdom
| | - H Pikhart
- University College London, Department of Epidemiology and Public Health , London , United Kingdom
| | - R Kubinova
- National Institute of Public Health , Prague , Czechia
| | - A Pajak
- Institute of Public Health, Department of Epidemiology and Population Studies , Krakow , Poland
| | - A Tamosiunas
- Lithuanian University of Health Sciences, Institute of Cardiology , Kaunas , Lithuania
| | - A Stang
- Institute for Medical Informatics, Biometry and Epidemiology , Essen , Germany
| | - B Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology , Essen , Germany
| | - S Schramm
- Institute for Medical Informatics, Biometry and Epidemiology , Essen , Germany
| | - E Di Angelantonio
- University of Cambridge, Department of Public Health and Primary Care , Cambridge , United Kingdom
| | - F L J Visseren
- University Medical Center Utrecht, Department of vascular medicine , Utrecht , The Netherlands
| | - J A N Dorresteijn
- University Medical Center Utrecht, Department of vascular medicine , Utrecht , The Netherlands
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Stefler D, Yi X, Malyutina S, Kubinova R, Pajak A, Hrezova E, Pikhart H, Peasey A, Bobak M. Socioeconomic determinants of traditional diet in Eastern Europe: result from the HAPIEE study. Eur J Public Health 2021. [DOI: 10.1093/eurpub/ckab164.843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Traditional eating habits in Eastern Europe are associated with higher risk of all-cause and cardiovascular disease mortality. However, it is unclear whether this eating pattern is related to socio-economic characteristics of individuals. The aim of this analysis was to examine the socioeconomic determinants of traditional diet in Eastern European populations.
Methods
Data was available from the baseline survey of the Health, Alcohol and Psychosocial Factors in Eastern Europe study, including 21,752 eligible subjects from Russia, Poland and the Czech Republic. Dietary data was collected using food frequency questionnaires, and adherence to the traditional diet was assessed with the Eastern European Diet Score (EEDS). Information on participants` education, parental education and experience of financial difficulties in buying food were used as indicators of participants` socioeconomic position (SEP).
Results
In the multivariable adjusted logistic regression models, high EEDS, indicating higher adherence to the traditional diet, was significantly associated with lower education attainment (university vs. primary or less; OR: 0.85, 95%CI: 0.75-0.96) and lower parental education (0.82, 0.72-0.94). High EEDS was also more common in people who reported financial difficulties in buying food, but this association was weaker (often vs. never; 1.12, 1.00-1.25). Specific components of the EEDS, including intakes of lard, processed meat and preserved fruit and vegetables, were also closely linked to SEP indicators.
Conclusions
Our results suggest that individuals with lower SEP are more likely to follow the traditional eating pattern in Eastern Europe, and education seems to be a particularly important determinant. Public health nutritional interventions should focus on the more disadvantaged groups to improve diet and reduce health inequalities in this region.
Funding: This work was partly funded by the Horizon 2020 CETOCOEN Excellence project (grant no. 857560).
Key messages
This work shows that socioeconomic factors, particularly education, are important determinants of traditional eating habits in Eastern European countries. As traditional diet in this region is linked with poor health, nutritional interventions have the potential to improve population health and reduce socioeconomic inequalities in Eastern Europe.
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Affiliation(s)
- D Stefler
- Department of Epidemiology and Public Health, University College London, London, UK
| | - X Yi
- Department of Epidemiology and Public Health, University College London, London, UK
| | - S Malyutina
- Research Institute of Internal and Preventive Medicine, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
- Novosibirsk State Medical University, Novosibirsk, Russia
| | - R Kubinova
- National Institute of Public Health, Prague, Czechia
| | - A Pajak
- Department of Epidemiology and Population Studies, Jagiellonian University Collegium Medicum, Krakow, Czechia
| | - E Hrezova
- Research Centre for Toxic Compounds in the Environment, Masaryk University, Brno, Czechia
| | - H Pikhart
- Department of Epidemiology and Public Health, University College London, London, UK
| | - A Peasey
- Department of Epidemiology and Public Health, University College London, London, UK
| | - M Bobak
- Department of Epidemiology and Public Health, University College London, London, UK
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9
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Nie Y, Richards M, Kubinova R, Titarenko A, Malyutina S, Kozela M, Pajak A, Bobak M, Ruiz M. Social networks and cognitive function in older adults: findings from the HAPIEE study. BMC Geriatr 2021; 21:570. [PMID: 34663241 PMCID: PMC8524850 DOI: 10.1186/s12877-021-02531-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 10/05/2021] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Social networks are associated with better cognitive health in older people, but the role of specific aspects of the social network remains unclear. This is especially the case in Central and Eastern Europe. This study examined associations between three aspects of the social network (network size of friends and relatives, contact frequency with friends and relatives, and social activity participation) with cognitive functions (verbal memory, learning ability, verbal fluency, processing speed, and global cognitive function) in older Czech, Polish, and Russian adults. METHODS Linear regression estimated associations between baseline social networks and cognitive domains measured at both baseline and follow-up (mean duration of follow-up, 3.5 ± 0.7 years) in 6691 participants (mean age, 62.2 ± 6.0 years; 53.7% women) from the Health, Alcohol and Psychosocial factors In Eastern Europe (HAPIEE) study. RESULTS Cross-sectional analyses, adjusted for country, age, and sex, showed positive associations of global cognitive function with social activity participation and network size of friends and relatives, but not with contact frequency in either network. Further adjustment for sociodemographic, behavioural, and health characteristics attenuated the associations with network size of relatives (P-trend = 0.074) but not with network size of friends (P-trend = 0.036) or social activities (P-trend< 0.001). In prospective analyses, network size and social activity participation were also linked with better cognition in simple models, but the associations were much stronger for social activities (P-trend< 0.001) than for network size of friends (P-trend = 0.095) and relatives (P-trend = 0.425). Adjustment for baseline cognition largely explained the prospective associations with network size of friends (P-trend = 0.787) and relatives (P-trend = 0.815), but it only slightly attenuated the association with social activities (P-trend< 0.001). The prospective effect of social activities was largely explained by sociodemographic, health behavioural, and health covariates (P-trend = 0.233). Analyses of specific cognitive domains generally replicated the cross-sectional and prospective findings for global cognitive function. CONCLUSIONS Older Central and Eastern European adults with larger social networks and greater social activities participation had better cognitive function, but these associations were stronger at baseline than over the short-term follow-up.
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Affiliation(s)
- Yifan Nie
- Research Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Ruzena Kubinova
- Centre for Environmental Health Monitoring, National Institute of Public Health, Prague, Czech Republic
| | - Anastasiya Titarenko
- Research Institute of Internal and Preventive Medicine, Branch of the Federal Research Centre Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Medical Sciences, Novosibirsk, Russia
| | - Sofia Malyutina
- Research Institute of Internal and Preventive Medicine, Branch of the Federal Research Centre Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Medical Sciences, Novosibirsk, Russia
| | - Magdalena Kozela
- Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland
| | - Andrzej Pajak
- Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland
| | - Martin Bobak
- Research Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK.,Research Centre for Toxic Compounds in the Environment, Faculty of Sciences, Masaryk University, Brno, Czech Republic
| | - Milagros Ruiz
- Research Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK. .,Faculty of Physical Education and Sport, Charles University, Prague, Czech Republic.
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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, Auvinen J, Avdićová M, Azevedo A, Azimi-Nezhad M, Azizi F, Azmin M, Babu BV, Bahijri S, Balakrishna N, Bamoshmoosh M, Banach M, Banadinović M, Bandosz P, Banegas JR, Baran J, Barbagallo CM, Barceló A, Barkat A, Barreto M, Barros AJD, Barros MVG, Bartosiewicz A, Basit A, Bastos JLD, Bata I, Batieha AM, Batyrbek A, Baur LA, Beaglehole R, Belavendra A, Ben Romdhane H, Benet M, Benson LS, Berkinbayev S, Bernabe-Ortiz A, Bernotiene G, Bettiol H, Bezerra J, Bhagyalaxmi A, Bhargava SK, Bia D, Biasch K, Bika Lele EC, Bikbov MM, Bista B, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Bloch KV, Blokstra A, Bo S, Bobak M, Boeing H, Boggia JG, Boissonnet CP, Bojesen SE, Bongard V, Bonilla-Vargas A, Bopp M, Borghs H, Bovet P, Boyer CB, Braeckman L, Brajkovich I, Branca F, Breckenkamp J, Brenner H, Brewster LM, Briceño Y, Brito M, Bruno G, Bueno-de-Mesquita HB, Bueno G, Bugge A, Burns C, Bursztyn M, Cabrera de León A, Cacciottolo J, Cameron C, Can G, Cândido APC, Capanzana MV, Čapková N, Capuano E, Capuano V, Cardoso VC, Carlsson AC, Carvalho J, Casanueva FF, Censi L, Cervantes-Loaiza M, Chadjigeorgiou CA, Chamukuttan S, Chan AW, Chan Q, Chaturvedi HK, Chaturvedi N, Chee ML, Chen CJ, Chen F, Chen H, Chen S, Chen Z, Cheng CY, Cheraghian B, Cherkaoui Dekkaki I, Chetrit A, Chien KL, Chiolero A, Chiou ST, Chirita-Emandi A, Chirlaque MD, Cho B, Christensen K, Christofaro DG, Chudek J, Cinteza E, Claessens F, Clarke J, Clays E, Cohen E, Concin H, Cooper C, Coppinger TC, Costanzo S, Cottel D, Cowell C, Craig CL, Crampin AC, Crujeiras AB, Cruz JJ, Csilla S, Cui L, Cureau FV, Cuschieri S, D'Arrigo G, d'Orsi E, Dallongeville J, Dankner R, Dantoft TM, Dauchet L, Davletov K, De Backer G, De Bacquer D, De Curtis A, de Gaetano G, De Henauw S, de Oliveira PD, De Ridder D, De Smedt D, Deepa M, Deev AD, DeGennaro VJ, Delisle H, Demarest S, Dennison E, Deschamps V, Dhimal M, Di Castelnuovo AF, Dias-da-Costa JS, Diaz A, Dickerson TT, Dika Z, Djalalinia S, Do HTP, Dobson AJ, Donfrancesco C, Donoso SP, Döring A, Dorobantu M, Dörr M, Doua K, Dragano N, Drygas W, Duante CA, Duboz P, Duda RB, Dulskiene V, Dushpanova A, Džakula A, Dzerve V, Dziankowska-Zaborszczyk E, Eddie R, Eftekhar E, Eggertsen R, Eghtesad S, Eiben G, Ekelund U, El-Khateeb M, El Ati J, Eldemire-Shearer D, Eliasen M, Elosua R, Erasmus RT, Erbel R, Erem C, Eriksen L, Eriksson JG, Escobedo-de la Peña J, Eslami S, Esmaeili A, Evans A, Faeh D, Fakhretdinova AA, Fall CH, Faramarzi E, Farjam M, Fattahi MR, Fawwad A, Felix-Redondo FJ, Felix SB, Ferguson TS, Fernandes RA, Fernández-Bergés D, Ferrante D, Ferrao T, Ferrari M, Ferrario MM, Ferreccio C, Ferreira HS, Ferrer E, Ferrieres J, Figueiró TH, Fink G, Fischer K, Foo LH, Forsner M, Fouad HM, Francis DK, Franco MDC, Frikke-Schmidt R, Frontera G, Fuchs FD, Fuchs SC, Fujita Y, Fumihiko M, Furdela V, Furer A, Furusawa T, Gaciong Z, Galbarczyk A, Galenkamp H, Galvano F, Gao J, Gao P, Garcia-de-la-Hera M, Garcia P, Gareta D, Garnett SP, Gaspoz JM, Gasull M, Gazzinelli A, Gehring U, Geleijnse JM, George R, Ghanbari A, Ghasemi E, Gheorghe-Fronea OF, Ghimire A, Gialluisi A, Giampaoli S, Gieger C, Gill TK, Giovannelli J, Gironella G, Giwercman A, Gkiouras K, Goldberg M, Goldsmith RA, Gomez LF, Gomula A, Gonçalves H, Gonçalves M, Gonçalves Cordeiro da Silva B, Gonzalez-Chica DA, Gonzalez-Gross M, González-Rivas JP, González-Villalpando C, González-Villalpando ME, Gonzalez AR, Gorbea MB, Gottrand F, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grosso G, Gruden G, Gu D, Guan OP, Gudmundsson EF, Gudnason V, Guerrero R, Guessous I, Guimaraes AL, Gulliford MC, Gunnlaugsdottir J, Gunter MJ, Gupta PC, Gupta R, Gureje O, Gurzkowska B, Gutierrez L, Gutzwiller F, Ha S, Hadaegh F, Haghshenas R, Hakimi H, Halkjær J, Hambleton IR, Hamzeh B, Hange D, Hanif AAM, Hantunen S, Hao J, Hardman CM, Hari Kumar R, Hashemi-Shahri SM, Hata J, Haugsgjerd T, Hayes AJ, He Y, Heier M, Hendriks ME, Henrique RDS, Henriques A, Hernandez Cadena L, Herqutanto, Herrala S, Heshmat R, Hill AG, Ho SY, Ho SC, Hobbs M, Holdsworth M, Homayounfar R, Horasan Dinc G, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Htike MMT, Hu Y, Huerta JM, Huhtaniemi IT, Huiart L, Huisman M, Husseini AS, Huybrechts I, Hwalla N, Iacoviello L, Iannone AG, Ibrahim MM, Ibrahim Wong N, Ikram MA, Iotova V, Irazola VE, Ishida T, Isiguzo GC, Islam M, Islam SMS, Iwasaki M, Jackson RT, Jacobs JM, Jaddou HY, Jafar T, James K, Jamrozik K, Janszky I, Janus E, Jarvelin MR, Jasienska G, Jelaković A, Jelaković B, Jennings G, Jha AK, Jiang CQ, Jimenez RO, Jöckel KH, Joffres M, Johansson M, Jokelainen JJ, Jonas JB, Jørgensen T, Joshi P, Joukar F, Jóżwiak J, Juolevi A, Jurak G, Jureša V, Kaaks R, Kafatos A, Kajantie EO, Kalmatayeva Z, Kalpourtzi N, Kalter-Leibovici O, Kampmann FB, Kannan S, Karaglani E, Kårhus LL, Karki KB, Katibeh M, Katz J, Kauhanen J, Kaur P, Kavousi M, Kazakbaeva GM, Keil U, Keinan Boker L, 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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Hageman S, Pennells L, Ojeda F, Kaptoge S, Kuulasmaa K, de Vries T, Xu Z, Kee F, Chung R, Wood A, McEvoy JW, Veronesi G, Bolton T, Achenbach S, Aleksandrova K, Amiano P, Sebastian DS, Amouyel P, Andersson J, Bakker SJL, Da Providencia Costa RB, Beulens JWJ, Blaha M, Bobak M, Boer JMA, Bonet C, Bonnet F, Boutron-Ruault MC, Braaten T, Brenner H, Brunner F, Brunner EJ, Brunström M, Buring J, Butterworth AS, Capkova N, Cesana G, Chrysohoou C, Colorado-Yohar S, Cook NR, Cooper C, Dahm CC, Davidson K, Dennison E, Di Castelnuovo A, Donfrancesco C, Dörr M, Doryńska A, Eliasson M, Engström G, Ferrari P, Ferrario M, Ford I, Fu M, Gansevoort RT, Giampaoli S, Gillum RF, Gómez de la Cámara A, Grassi G, Hansson PO, Huculeci R, Hveem K, Iacoviello L, Ikram MK, Jørgensen T, Joseph B, Jousilahti P, Wouter Jukema J, Kaaks R, Katzke V, Kavousi M, Kiechl S, Klotsche J, König W, Kronmal RA, Kubinova R, Kucharska-Newton A, Läll K, Lehmann N, Leistner D, Linneberg A, Pablos DL, Lorenz T, Lu W, Luksiene D, Lyngbakken M, Magnussen C, Malyutina S, Ibañez AM, Masala G, Mathiesen EB, Matsushita K, Meade TW, Melander O, Meyer HE, Moons KGM, Moreno-Iribas C, Muller D, Münzel T, Nikitin Y, Nordestgaard BG, Omland T, Onland C, Overvad K, Packard C, Pająk A, Palmieri L, Panagiotakos D, Panico S, Perez-Cornago A, Peters A, Pietilä A, Pikhart ,H, Psaty BM, Quarti-Trevano F, Garcia JRQ, Riboli E, Ridker PM, Rodriguez B, Rodriguez-Barranco M, Rosengren A, Roussel R, Sacerdote C, Sans S, Sattar N, Schiborn C, Schmidt B, Schöttker B, Schulze M, Schwartz JE, Selmer RM, Shea S, Shipley MJ, Sieri S, Söderberg S, Sofat R, Tamosiunas A, Thorand B, Tillmann T, Tjønneland A, Tong TYN, Trichopoulou A, Tumino R, Tunstall-Pedoe H, Tybjaerg-Hansen A, Tzoulaki J, van der Heijden A, van der Schouw YT, Verschuren WMM, Völzke H, Waldeyer C, Wareham NJ, Weiderpass E, Weidinger F, Wild P, Willeit J, Willeit P, Wilsgaard T, Woodward M, Zeller T, Zhang D, Zhou B, Dendale P, Ference BA, Halle M, Timmis A, Vardas P, Danesh J, Graham I, Salomaa V, Visseren F, De Bacquer D, Blankenberg S, Dorresteijn J, Di Angelantonio E. SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe. Eur Heart J 2021; 42:2439-2454. [PMID: 34120177 PMCID: PMC8248998 DOI: 10.1093/eurheartj/ehab309] [Citation(s) in RCA: 379] [Impact Index Per Article: 126.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 03/08/2021] [Accepted: 05/05/2021] [Indexed: 12/14/2022] Open
Abstract
AIMS The aim of this study was to develop, validate, and illustrate an updated prediction model (SCORE2) to estimate 10-year fatal and non-fatal cardiovascular disease (CVD) risk in individuals without previous CVD or diabetes aged 40-69 years in Europe. METHODS AND RESULTS We derived risk prediction models using individual-participant data from 45 cohorts in 13 countries (677 684 individuals, 30 121 CVD events). We used sex-specific and competing risk-adjusted models, including age, smoking status, systolic blood pressure, and total- and HDL-cholesterol. We defined four risk regions in Europe according to country-specific CVD mortality, recalibrating models to each region using expected incidences and risk factor distributions. Region-specific incidence was estimated using CVD mortality and incidence data on 10 776 466 individuals. For external validation, we analysed data from 25 additional cohorts in 15 European countries (1 133 181 individuals, 43 492 CVD events). After applying the derived risk prediction models to external validation cohorts, C-indices ranged from 0.67 (0.65-0.68) to 0.81 (0.76-0.86). Predicted CVD risk varied several-fold across European regions. For example, the estimated 10-year CVD risk for a 50-year-old smoker, with a systolic blood pressure of 140 mmHg, total cholesterol of 5.5 mmol/L, and HDL-cholesterol of 1.3 mmol/L, ranged from 5.9% for men in low-risk countries to 14.0% for men in very high-risk countries, and from 4.2% for women in low-risk countries to 13.7% for women in very high-risk countries. CONCLUSION SCORE2-a new algorithm derived, calibrated, and validated to predict 10-year risk of first-onset CVD in European populations-enhances the identification of individuals at higher risk of developing CVD across Europe.
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SR, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zargar AH, Ko Zaw K, Zdrojewski T, Zejglicova K, Vrkic TZ, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zins M, Zitt E, Zocalo Y, Cisneros JZ, Zuziak M, Ezzati M, Filippi S. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight. eLife 2021; 10:e60060. [PMID: 33685583 PMCID: PMC7943191 DOI: 10.7554/elife.60060] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [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: 06/17/2020] [Accepted: 01/07/2021] [Indexed: 02/05/2023] Open
Abstract
From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Nayu Ikeda
- National Institutes of Biomedical Innovation, Health and Nutrition
| | | | | | | | - Jing Liu
- Capital Medical University Beijing An Zhen Hospital
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Shoaib Afzal
- University of Copenhagen
- Copenhagen University Hospital
| | | | | | | | | | | | | | - Ali Ahmadi
- Shahrekord University of Medical Sciences
| | | | | | | | | | - Kamel Ajlouni
- National Center for Diabetes, Endocrinology and Genetics
| | | | | | | | | | | | | | | | | | | | | | | | - Eman Aly
- World Health Organization Regional Office for the Eastern Mediterranean
| | | | - Parisa Amiri
- Research Center for Social Determinants of Health
| | | | | | | | | | | | | | | | | | - Joana Araújo
- Institute of Public Health of the University of Porto
| | | | | | | | | | | | | | | | | | | | | | | | - Shina Avi
- Tel-Aviv University
- Hebrew University of Jerusalem
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Abdul Basit
- Baqai Institute of Diabetology and Endocrinology
| | | | | | | | | | | | | | | | | | | | | | | | - Judith Benedics
- Federal Ministry of Social Affairs, Health, Care and Consumer Protection
| | | | | | | | | | | | | | | | | | | | | | | | - Hongsheng Bi
- Shandong University of Traditional Chinese Medicine
| | - Yufang Bi
- Shanghai Jiao-Tong University School of Medicine
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - João Breda
- World Health Organization Regional Office for Europe
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- Council for Agricultural Research and Economics
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- The Gertner Institute for Epidemiology and Health Policy Research
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- Canadian Fitness and Lifestyle Research Institute
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Rachel Dankner
- The Gertner Institute for Epidemiology and Health Policy Research
| | | | | | | | - Luc Dauchet
- University of Lille
- Lille University Hospital
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- Beijing Center for Disease Prevention and Control
| | | | | | | | | | | | | | - Anar Dushpanova
- Scuola Superiore Sant'Anna
- Al-Farabi Kazakh National University
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Günther Fink
- Swiss Tropical and Public Health Institute
- University of Basel
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- World Health Organization Regional Office for the Eastern Mediterranean
| | | | | | | | | | | | | | | | | | | | | | | | - Mihai Gafencu
- Victor Babes University of Medicine and Pharmacy Timisoara
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Marcel Goldberg
- Institut National de la Santé et de la Recherche Médicale
- Paris University
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Yin Guo
- Capital Medical University Beijing Tongren Hospital
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- Eternal Heart Care Centre and Research Institute
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- Beijing Institute of Ophthalmology
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- National Research Institute for Health and Family Planning
| | - Yuna He
- Chinese Center for Disease Control and Prevention
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- Institute of Public Health of the University of Porto
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- Institute of Molecular and Clinical Ophthalmology Basel
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- French National Research Institute for Sustainable Development
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- Johns Hopkins Bloomberg School of Public Health
| | | | | | | | | | | | | | | | | | - Roya Kelishadi
- Research Institute for Primordial Prevention of Non-communicable Disease
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- PASs Hirszfeld Institute of Immunology and Experimental Therapy
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- French National Research Institute for Sustainable Development
| | - Vera Lanska
- Institute for Clinical and Experimental Medicine
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- University of Chinese Academy of Sciences
| | | | | | | | | | | | - Lijuan Liu
- Capital Medical University Beijing Tongren Hospital
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- National Research Institute for Health and Family Planning
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- Institute of Neuroscience of the National Research Council
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- French National Research Institute for Sustainable Development
| | | | | | - Päivi Mäki
- Finnish Institute for Health and Welfare
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- CIBERCV
- Institut Hospital del Mar d'Investigacions Mèdiques
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- Capital Institute of Pediatrics
| | | | | | | | | | | | | | - GK Mini
- Women’s Social and Health Studies Foundation
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- University of Strasbourg
- Strasbourg University Hospital
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jorge Motta
- Instituto Conmemorativo Gorgas de Estudios de la Salud
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jana Námešná
- Banska Bystrica Regional Authority of Public Health
| | | | | | | | | | | | | | | | | | | | - Keiu Nelis
- National Institute for Health Development
| | - Liis Nelis
- National Institute for Health Development
| | | | | | | | | | | | | | | | - Yury P Nikitin
- SB RAS Federal Research Center Institute of Cytology and Genetics
| | - Guang Ning
- Shanghai Jiao-Tong University School of Medicine
| | | | | | - Marianna Noale
- Institute of Neuroscience of the National Research Council
| | | | | | | | | | | | | | | | | | | | - Eha Nurk
- National Institute for Health Development
| | | | | | | | | | | | | | - Kyungwon Oh
- Korea Centers for Disease Control and Prevention
| | | | - Claes Ohlsson
- University of Gothenburg
- Sahlgrenska University Hospital
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Domenico Palli
- Institute for Cancer Research, Prevention and Clinical Network
| | | | | | | | | | | | - Francesco Panza
- IRCCS Ente Ospedaliero Specializzato in Gastroenterologia S. de Bellis
| | | | | | - Suyeon Park
- Korea Centers for Disease Control and Prevention
| | | | | | - Ionela M Pascanu
- University of Medicine, Pharmacy, Science and Technology of Târgu Mures
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Iris Pigeot
- Leibniz Institute for Prevention Research and Epidemiology - BIPS
| | | | | | | | | | | | | | | | | | | | | | - Raluca M Pop
- University of Medicine, Pharmacy, Science and Technology of Târgu Mures
| | | | - Miquel Porta
- Institut Hospital del Mar d'Investigacions Mèdiques
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Maria Puiu
- Victor Babes University of Medicine and Pharmacy Timisoara
| | | | | | | | | | | | | | | | | | | | | | - Manu Raj
- Amrita Institute of Medical Sciences
| | | | | | - Ivo Rakovac
- World Health Organization Regional Office for Europe
| | | | | | | | | | - Rafel Ramos
- Institut Universitari d'Investigació en Atenció Primària Jordi Gol
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Ana Rito
- National Institute of Health Doutor Ricardo Jorge
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Paola Russo
- Institute of Food Sciences of the National Research Council
| | | | | | | | | | | | | | | | | | - Nader Saki
- Ahvaz Jundishapur University of Medical Sciences
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Savvas Savva
- Research and Education Institute of Child Health
| | - Mathilde Savy
- French National Research Institute for Sustainable Development
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Aletta E Schutte
- University of New South Wales
- The George Institute for Global Health
| | | | | | | | - Abhijit Sen
- Center for Oral Health Services and Research Mid-Norway
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Alfonso Siani
- Institute of Food Sciences of the National Research Council
| | | | | | | | | | | | | | | | | | | | | | | | | | - Liam Smeeth
- London School of Hygiene & Tropical Medicine
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Igor Spiroski
- Institute of Public Health
- Ss. Cyril and Methodius University
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Lela Sturua
- National Center for Disease Control and Public Health
| | | | | | | | | | | | | | | | | | | | | | | | | | - Lucjan Szponar
- National Institute of Public Health – National Institute of Hygiene
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Pierre Traissac
- French National Research Institute for Sustainable Development
| | | | | | | | - Oanh TH Trinh
- University of Medicine and Pharmacy at Ho Chi Minh City
| | | | | | | | | | | | | | | | | | | | | | - Gilad Twig
- Tel-Aviv University
- Hebrew University of Jerusalem
| | | | | | | | | | - Eunice Ugel
- Universidad Centro-Occidental Lisandro Alvarado
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Anette Varbo
- Copenhagen University Hospital
- University of Copenhagen
| | | | | | | | - Tomas Vega
- Consejería de Sanidad Junta de Castilla y León
| | | | | | | | | | | | | | | | - Lucie Viet
- National Institute for Public Health and the Environment
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Ningli Wang
- Capital Medical University Beijing Tongren Hospital
| | | | | | | | | | | | | | - Adelheid Weber
- Federal Ministry of Social Affairs, Health, Care and Consumer Protection
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Bogdan Wojtyniak
- National Institute of Public Health - National Institute of Hygiene
| | | | | | | | | | - Jean Woo
- The Chinese University of Hong Kong
| | | | | | - Jianfeng Wu
- Shandong University of Traditional Chinese Medicine
| | | | | | - Haiquan Xu
- Institute of Food and Nutrition Development of Ministry of Agriculture and Rural Affairs
| | - Liang Xu
- Beijing Institute of Ophthalmology
| | | | | | - Weili Yan
- Children's Hospital of Fudan University
| | | | | | - Yang Yang
- Shanghai Educational Development Co. Ltd
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- Peking University
- Duke University
| | | | | | - Dong Zhao
- Capital Medical University Beijing An Zhen Hospital
| | | | - Wenhua Zhao
- Chinese Center for Disease Control and Prevention
| | - Shiqi Zhen
- Jiangsu Provincial Center for Disease Control and Prevention
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- Chinese Center for Disease Control and Prevention
| | - Dan Zhu
- Inner Mongolia Medical University
| | - Marie Zins
- Institut National de la Santé et de la Recherche Médicale
- Paris University
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Herck K, Van Minh H, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Varbo A, Varela-Moreiras G, Varona-Pérez P, Vasan SK, Vega T, Veidebaum T, Velasquez-Melendez G, Velika B, Veronesi G, Verschuren WMM, Victora CG, Viegi G, Viet L, Villalpando S, Vineis P, Vioque J, Virtanen JK, Visser M, Visvikis-Siest S, Viswanathan B, Vladulescu M, Vlasoff T, Vocanec D, Völzke H, Voutilainen A, Voutilainen S, Vrijheid M, Vrijkotte TGM, Wade AN, Wagner A, Waldhör T, Walton J, Wambiya EOA, Wan Bebakar WM, Wan Mohamud WN, Wanderley Júnior RDS, Wang MD, Wang N, Wang Q, Wang X, Wang YX, Wang YW, Wannamethee SG, Wareham N, Weber A, Wedderkopp N, Weerasekera D, Weghuber D, Wei W, Weres A, Werner B, Whincup PH, Widhalm K, Widyahening IS, Wiecek A, Wilks RJ, Willeit J, Willeit P, Williams J, Wilsgaard T, Wojtyniak B, Wong-McClure RA, Wong A, Wong JE, Wong TY, Woo J, Woodward M, Wu FC, Wu J, Wu LJ, Wu S, Xu H, Xu L, Yaacob NA, Yamborisut U, Yan W, Yang L, Yang X, Yang Y, Yardim N, Yaseri M, Yasuharu T, Ye X, Yiallouros PK, Yoosefi M, Yoshihara A, You QS, You SL, Younger-Coleman NO, 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, Zdrojewski T, Zeljkovic Vrkic T, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zocalo Y, Zuñiga Cisneros J, Zuziak M, Ezzati M. Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants. Lancet 2020; 396:1511-1524. [PMID: 33160572 PMCID: PMC7658740 DOI: 10.1016/s0140-6736(20)31859-6] [Citation(s) in RCA: 171] [Impact Index Per Article: 42.8] [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: 02/26/2020] [Revised: 08/03/2020] [Accepted: 08/19/2020] [Indexed: 02/08/2023]
Abstract
BACKGROUND Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. METHODS For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5-19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. FINDINGS We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9-10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes-gaining too little height, too much weight for their height compared with children in other countries, or both-occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls. INTERPRETATION The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks. FUNDING Wellcome Trust, AstraZeneca Young Health Programme, EU.
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Ruiz MA, Beenackers MA, Doiron D, Gurer A, Sarr A, Sohel N, Timmermans EJ, Wissa R, Chaix B, Huisman M, Krokstad S, Kubinova R, Malyutina S, Raina P, Tamosiunas A, van Lenthe FJ, Bobak M. Gender, marital and educational inequalities in mid- to late-life depressive symptoms: cross-cohort variation and moderation by urbanicity degree. J Epidemiol Community Health 2020; 75:442-449. [PMID: 33154147 PMCID: PMC8053350 DOI: 10.1136/jech-2020-214241] [Citation(s) in RCA: 2] [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] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 07/13/2020] [Accepted: 07/28/2020] [Indexed: 11/03/2022]
Abstract
BACKGROUND Although ageing populations are increasingly residing in cities, it is unknown whether depression inequalities are moderated by urbanicity degree. We estimated gender, marital and educational inequalities in depressive symptoms among older European and Canadian adults, and examined whether higher levels of urbanicity, captured by population density, heightened these inequalities. METHODS Harmonised cross-sectional data on 97 826 adults aged ≥50 years from eight cohorts were used. Prevalence ratios (PRs) were calculated for probable depression, depressed affect and depressive symptom severity by gender, marital status and education within each cohort, and combined using random-effects meta-analysis. Using a subsample of 73 123 adults from six cohorts with available data on population density, we tested moderating effects measured by the number of residents per square kilometre. RESULTS The pooled PRs for probable depression by female gender, unmarried or non-cohabitating status and low education were 1.48 (95% CI 1.28 to 1.72), 1.44 (95% CI 1.29 to 1.61) and 1.29 (95% CI 1.18 to 1.41), respectively. PRs for depressed affect and high symptom severity were broadly similar. Except for one Dutch cohort with findings in an unexpected direction, there was no evidence that population density modified depressive symptom inequalities. CONCLUSIONS Despite cross-cohort variation in gender, marital status and educational inequalities in depressive symptoms, there was weak evidence that these inequalities differed by levels of population density.
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Affiliation(s)
- Milagros A Ruiz
- Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Marielle A Beenackers
- Department of Public Health, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Dany Doiron
- Research Institute of the McGill University Health Centre, Montreal, Canada
| | - Asli Gurer
- Research Institute of the McGill University Health Centre, Montreal, Canada
| | - Aliou Sarr
- Research Institute of the McGill University Health Centre, Montreal, Canada
| | - Nazmul Sohel
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.,McMaster Institute for Research on Aging, Hamilton, Ontario, Canada
| | - Erik J Timmermans
- Department of Epidemiology and Biostatistics, Amsterdam UMC, VU University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Rita Wissa
- Research Institute of the McGill University Health Centre, Montreal, Canada
| | - Basile Chaix
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Nemesis Research Team, Paris, France
| | - Martijn Huisman
- Department of Epidemiology and Biostatistics, Amsterdam UMC, VU University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, Netherlands.,Department of Sociology, Faculty of Social Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Steinar Krokstad
- HUNT Research Centre, Department of Public Health and General Practice, Faculty of Medicine, Norwegian University of Science and Technology (NTNU), Levanger, Norway.,Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
| | - Ruzena Kubinova
- Centre for Environmental Health Monitoring, National Institute of Public Health, Prague, Czech Republic
| | - Sofia Malyutina
- Research Institute of Internal and Preventive Medicine, Branch of the Institute of Cytology and Genetics, SB RAS, Novosibirsk, Russia.,Novosibirsk State Medical University, Novosibirsk, Russia
| | - Parminder Raina
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.,McMaster Institute for Research on Aging, Hamilton, Ontario, Canada
| | - Abdonas Tamosiunas
- Institute of Cardiology, Academy of Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania.,Faculty of Public Health, Academy of Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Frank J van Lenthe
- Department of Public Health, Erasmus University Medical Center, Rotterdam, Netherlands.,Department of Human Geography and Spatial Planning, Utrecht University, Utrecht, Netherlands
| | - Martin Bobak
- Research Department of Epidemiology and Public Health, University College London, London, UK
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15
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Lu W, Pikhart H, Peasey A, Kubinova R, Pitman A, Bobak M. Risk of depressive symptoms before and after the first hospitalisation for cancer: Evidence from a 16-year cohort study in the Czech Republic. J Affect Disord 2020; 276:76-83. [PMID: 32697719 PMCID: PMC7456789 DOI: 10.1016/j.jad.2020.06.070] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [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: 04/16/2020] [Revised: 05/22/2020] [Accepted: 06/23/2020] [Indexed: 01/06/2023]
Abstract
BACKGROUND Whether depression risk starts increasing before cancer diagnosis, and whether cancer is an independent risk factor for depression, remain unclear. We aimed to quantify the risk of depressive symptoms before and after the first hospitalisation for cancer (as a proxy for cancer diagnosis) amongst patients with cancer. METHODS We linked cohort data with national hospitalisation records in the Czech Republic. We followed 1056 incident cancer cases for up to 15 years before and 15 years after the first hospitalisation for cancer. Depressive symptoms were measured using the Centre for Epidemiological Studies-Depression (CES-D) scale. We used multilevel ordered logistic regression to assess the relationship between follow-up years (pre- and post-hospitalisation) and depressive symptoms amongst incident cancer cases. Propensity Score Matching was employed to match each case with a cancer-free control, to test the independent effect of cancer on depressive symptoms over time. RESULTS Per one year of follow-up (whether pre- or post- hospitalisation) was associated with 1.07 (1.05-1.10) times more likely to have high severity of depressive symptoms amongst patients with cancer. The probability of having high severity of depressive symptoms increased from 25% at five years before hospitalisation to 33% at 7.5 years after hospitalisation. In parallel analyses amongst matched cancer-free controls, the risk of depressive symptoms had no significant changes during follow-up. LIMITATIONS Stratified analyses based on cancer types and stages of malignancy were infeasible. CONCLUSIONS The excess risk of depressive symptoms was apparent five years prior to the first hospitalisation for cancer. Using cancer-free matched controls, we confirmed that cancer was an independent predictor of depressive symptoms.
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Affiliation(s)
- Wentian Lu
- Research Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, United Kingdom.
| | - Hynek Pikhart
- Research Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, United Kingdom
| | - Anne Peasey
- Research Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, United Kingdom
| | - Ruzena Kubinova
- Centre for Environmental Health Monitoring, National Institute of Public Health, Prague, Czech Republic
| | - Alexandra Pitman
- UCL Division of Psychiatry, University College London, London, United Kingdom,Camden and Islington NHS Foundation Trust, London, United Kingdom
| | - Martin Bobak
- Research Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, United Kingdom
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16
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Cermakova P, Pikhart H, Kubinova R, Bobak M. Education as inefficient resource against depressive symptoms in the Czech Republic: cross-sectional analysis of the HAPIEE study. Eur J Public Health 2020; 30:948-952. [PMID: 32335678 PMCID: PMC7536251 DOI: 10.1093/eurpub/ckaa059] [Citation(s) in RCA: 8] [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] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Increasing educational level of the population could be a strategy to prevent depression. We investigated whether education may offer a greater benefit for mental health to women and to individuals living in socioeconomically disadvantaged areas. METHODS We performed a cross-sectional study using data on 6964 Czech participants of the Health, Alcohol and Psychosocial factors in Eastern Europe study (on average 58 years old; 53% women). Binary logistic regression was used to examine the association of education with depressive symptoms, adjusting for several groups of covariates. Interactions were tested between education and sex as well as between education and socioeconomic advantage of the area of residence. RESULTS Higher education was strongly associated with lower odds of depressive symptoms, independently of sociodemographic characteristics, health behavior and somatic diseases. This association was attenuated after adjusting for other markers of individual socioeconomic position (work activity, material deprivation and household items). There were no interactions between education and either sex or socioeconomic advantage of the area of residence. CONCLUSIONS We did not find an independent association between education and depressive symptoms after controlling for other socioeconomic markers in a sample with a formative history of communistic ideologies. Women or individuals from socioeconomically disadvantaged areas do not seem to gain a larger mental health benefit from education.
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Affiliation(s)
- Pavla Cermakova
- Department of Public Mental Health, National Institute of Mental Health, Klecany, Czech Republic
- Department of Psychiatry and Medical Psychology, Third Faculty of Medicine, Charles University, Prague, Czech Republic
- Department of Epidemiology, Second Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Hynek Pikhart
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Ruzena Kubinova
- Centre for Environmental Health Monitoring, National Institute of Public Health, Prague, Czech Republic
| | - Martin Bobak
- Department of Epidemiology and Public Health, University College London, London, UK
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17
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Tillmann T, Läll K, Dukes O, Veronesi G, Pikhart H, Peasey A, Kubinova R, Kozela M, Pajak A, Nikitin Y, Malyutina S, Metspalu A, Esko T, Fischer K, Kivimäki M, Bobak M. Development and validation of two SCORE-based cardiovascular risk prediction models for Eastern Europe: a multicohort study. Eur Heart J 2020; 41:3325-3333. [PMID: 33011775 PMCID: PMC7544536 DOI: 10.1093/eurheartj/ehaa571] [Citation(s) in RCA: 9] [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: 02/12/2020] [Revised: 05/22/2020] [Accepted: 06/30/2020] [Indexed: 01/08/2023] Open
Abstract
AIMS Cardiovascular disease (CVD) risk prediction models are used in Western European countries, but less so in Eastern European countries where rates of CVD can be two to four times higher. We recalibrated the SCORE prediction model for three Eastern European countries and evaluated the impact of adding seven behavioural and psychosocial risk factors to the model. METHODS AND RESULTS We developed and validated models using data from the prospective HAPIEE cohort study with 14 598 participants from Russia, Poland, and the Czech Republic (derivation cohort, median follow-up 7.2 years, 338 fatal CVD cases) and Estonian Biobank data with 4632 participants (validation cohort, median follow-up 8.3 years, 91 fatal CVD cases). The first model (recalibrated SCORE) used the same risk factors as in the SCORE model. The second model (HAPIEE SCORE) added education, employment, marital status, depression, body mass index, physical inactivity, and antihypertensive use. Discrimination of the original SCORE model (C-statistic 0.78 in the derivation and 0.83 in the validation cohorts) was improved in recalibrated SCORE (0.82 and 0.85) and HAPIEE SCORE (0.84 and 0.87) models. After dichotomizing risk at the clinically meaningful threshold of 5%, and when comparing the final HAPIEE SCORE model against the original SCORE model, the net reclassification improvement was 0.07 [95% confidence interval (CI) 0.02-0.11] in the derivation cohort and 0.14 (95% CI 0.04-0.25) in the validation cohort. CONCLUSION Our recalibrated SCORE may be more appropriate than the conventional SCORE for some Eastern European populations. The addition of seven quick, non-invasive, and cheap predictors further improved prediction accuracy.
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Affiliation(s)
- Taavi Tillmann
- Department of Epidemiology & Public Health, University College London, 1-19 Torrington Place, London WC1E 7HB, UK
- Centre for Non-Communicable Disease, Institute for Global Health, University College London, 30 Guilford Street, London WC1N 1EH, UK
| | - Kristi Läll
- Estonian Genome Center, Institute of Genomics, University of Tartu, Riia 23b, 51010 Tartu, Estonia
| | - Oliver Dukes
- Department of Applied Mathematics Computer Science and Statistics, Ghent University, Krijgslaan 281, S9, 9000 Ghent, Belgium
| | - Giovanni Veronesi
- Research Center in Epidemiology and Preventive Medicine, University of Insubria, Via O. Rossi 9, 21100 Varese, Italy
| | - Hynek Pikhart
- Department of Epidemiology & Public Health, University College London, 1-19 Torrington Place, London WC1E 7HB, UK
| | - Anne Peasey
- Department of Epidemiology & Public Health, University College London, 1-19 Torrington Place, London WC1E 7HB, UK
| | - Ruzena Kubinova
- Centre for Environmental Health Monitoring, National Institute of Public Health, Šrobárova 48, 10042 Prague, Czech Republic
| | - Magdalena Kozela
- Department of Epidemiology and Population Studies, Institute of Public Health, Jagiellonian University Medical College, ul. Grzegórzecka 20, 31531 Krakow, Poland
| | - Andrzej Pajak
- Department of Epidemiology and Population Studies, Institute of Public Health, Jagiellonian University Medical College, ul. Grzegórzecka 20, 31531 Krakow, Poland
| | - Yuri Nikitin
- Research Institute of Internal and Preventive Medicine, Branch of the Institute of Cytology and Genetics, SB RAS, 10 Ac. Lavrentieva ave, 630090 Novosibirsk, Russia
| | - Sofia Malyutina
- Research Institute of Internal and Preventive Medicine, Branch of the Institute of Cytology and Genetics, SB RAS, 10 Ac. Lavrentieva ave, 630090 Novosibirsk, Russia
- Novosibirsk State Medical University, Krasny Prospect 52, 630091 Novosibirsk, Russia
| | - Andres Metspalu
- Estonian Genome Center, Institute of Genomics, University of Tartu, Riia 23b, 51010 Tartu, Estonia
- Institute of Cell and Molecular Biology, University of Tartu, Riia 23b, 51010 Tartu, Estonia
| | - Tõnu Esko
- Estonian Genome Center, Institute of Genomics, University of Tartu, Riia 23b, 51010 Tartu, Estonia
| | - Krista Fischer
- Estonian Genome Center, Institute of Genomics, University of Tartu, Riia 23b, 51010 Tartu, Estonia
- Institute of Mathematics and Statistics, University of Tartu, Narva mnt 18, 51009 Tartu, Estonia
| | - Mika Kivimäki
- Department of Epidemiology & Public Health, University College London, 1-19 Torrington Place, London WC1E 7HB, UK
| | - Martin Bobak
- Department of Epidemiology & Public Health, University College London, 1-19 Torrington Place, London WC1E 7HB, UK
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18
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Stefler D, Brett D, Sarkadi-Nagy E, Kopczynska E, Detchev S, Bati A, Scrob M, Koenker D, Aleksov B, Douarin E, Simonova G, Malyutina S, Kubinova R, Pajak A, Ruiz M, Peasey A, Pikhart H, Bobak M. Traditional Eastern European diet and mortality: prospective evidence from the HAPIEE study. Eur J Nutr 2020; 60:1091-1100. [PMID: 32613328 PMCID: PMC7900332 DOI: 10.1007/s00394-020-02319-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2020] [Accepted: 06/25/2020] [Indexed: 01/12/2023]
Abstract
Purpose Cardiovascular disease (CVD) and cancer mortality rates in Eastern Europe are among the highest in the world. Although diet is an important risk factor, traditional eating habits in this region have not yet been explored. This analysis assessed the relationship between traditional dietary pattern and mortality from all-causes, CVD and cancer in Eastern European cohorts. Methods Data from the Health, Alcohol and Psychosocial factors in Eastern Europe prospective cohort were used, including participants from Russia, Poland and the Czech Republic. Based on food frequency questionnaire data, we constructed an Eastern European diet score (EEDS) from nine food groups which can be considered as traditional in this region. The relationship between categorical (low, moderate, high) and continuous (range 0–18) EEDS and mortality was estimated with Cox-regression. Results From 18,852 eligible participants, 2234 died during follow-up. In multivariable adjusted models, participants with high adherence to the traditional Eastern European diet had significantly higher risk of all-cause (HR 1.23; 95% CI 1.08–1.42) and CVD (1.34; 1.08–1.66) deaths compared to those with low adherence. The association with cancer mortality was only significant in Poland (high vs. low EEDS: 1.41; 1.00–1.98). From the specific EEDS components, high consumption of lard was significantly positively related to all three mortality outcomes, while preserved fruit and vegetable consumption showed consistent inverse associations. Conclusion Our results suggest that traditional eating habits may contribute to the poor health status, particularly the high CVD mortality rates, of populations in Eastern Europe. Adequate public health nutritional interventions in this region are essential. Electronic supplementary material The online version of this article (10.1007/s00394-020-02319-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Denes Stefler
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK.
| | - Daniel Brett
- School of Slavonic and East European Studies, University College London, London, UK
| | - Eszter Sarkadi-Nagy
- Department of Nutritional Epidemiology, National Institute of Pharmacy and Nutrition, Budapest, Hungary
| | - Ewa Kopczynska
- Institute of Sociology, Jagiellonian University, Krakow, Poland
| | - Stefan Detchev
- Department of History, South-West University, Blagoevgrad, Bulgaria
| | - Aniko Bati
- Institute of Ethnology, MTA Research Centre for the Humanities, Budapest, Hungary
| | - Mircea Scrob
- Department of Liberal Arts and Natural Sciences, University of Birmingham, Birmingham, UK
| | - Diane Koenker
- School of Slavonic and East European Studies, University College London, London, UK
| | - Bojan Aleksov
- School of Slavonic and East European Studies, University College London, London, UK
| | - Elodie Douarin
- School of Slavonic and East European Studies, University College London, London, UK
| | - Galina Simonova
- Research Institute of Internal and Preventive Medicine, Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
| | - Sofia Malyutina
- Research Institute of Internal and Preventive Medicine, Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia.,Novosibirsk State Medical University, Novosibirsk, Russia
| | | | - Andrzej Pajak
- Department of Epidemiology and Population Studies, Jagiellonian University Collegium Medicum, Krakow, Poland
| | - Milagros Ruiz
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK
| | - Anne Peasey
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK
| | - Hynek Pikhart
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK
| | - Martin Bobak
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK
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19
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Cermakova P, Pikhart H, Ruiz M, Kubinova R, Bobak M. Socioeconomic position in childhood and depressive symptoms in later adulthood in the Czech Republic. J Affect Disord 2020; 272:17-23. [PMID: 32379611 DOI: 10.1016/j.jad.2020.03.099] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [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: 03/05/2019] [Revised: 01/29/2020] [Accepted: 03/28/2020] [Indexed: 11/29/2022]
Abstract
BACKGROUND Depression risk may partly originate from socioeconomic hardship in childhood. We investigated the association of childhood socioeconomic position with depressive symptoms in later adulthood in a Central and Eastern European country. METHODS We analyzed data from the Czech arm of the Health, Alcohol and Psychosocial factors In Eastern Europe (HAPIEE) study. We estimated the associations of three indicators of childhood socioeconomic position (access to household amenities at age of 10 years, father´s education and mother´s education) with high depressive symptoms, operationalized as ≥16 points on the Center for Epidemiological Studies - Depression 20 scale, controlling for age and sex, current socioeconomic position and other social and health-related factors. RESULTS The analytical sample included 4,213 individuals (mean age 58 years, 54% women). All three indicators of childhood socioeconomic position were inversely associated with depressive symptoms in age-sex adjusted models (p for trends: access to household amenities p<0.001; mother´s education p<0.001; father´s education p=0.03). Adjustment for current socioeconomic position attenuated the associations of depressive symptoms with access to household amenities (p for trend 0.04) and mother´s education (p for trend 0.05) and virtually eliminated the association with father´s education (p for trend 0.82). LIMITATIONS Individuals with higher depressive symptoms and more adverse socioeconomic position are likely to be underrepresented in the study sample. Data on childhood socioeconomic position may be reported inaccurately. CONCLUSIONS Socioeconomic hardship in childhood may have long-lasting consequences on mental health in later adulthood.
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Affiliation(s)
- Pavla Cermakova
- National Institute of Mental Health, Klecany, Czech Republic; Third Faculty of Medicine, Charles University, Prague, Czech Republic; Second Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Hynek Pikhart
- University College London, Research Department of Epidemiology and Public Health, London, United Kingdom
| | - Milagros Ruiz
- University College London, Research Department of Epidemiology and Public Health, London, United Kingdom; Faculty of Physical Education and Sport, Charles University, Prague, Czech Republic
| | | | - Martin Bobak
- University College London, Research Department of Epidemiology and Public Health, London, United Kingdom.
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20
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Garduño‐Alanís A, Malyutina S, Pajak A, Stepaniak U, Kubinova R, Denisova D, Pikhart H, Peasey A, Bobak M, Stefler D. Association between soft drink, fruit juice consumption and obesity in Eastern Europe: cross-sectional and longitudinal analysis of the HAPIEE study. J Hum Nutr Diet 2020; 33:66-77. [PMID: 31475413 PMCID: PMC8425279 DOI: 10.1111/jhn.12696] [Citation(s) in RCA: 20] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
BACKGROUND Fruit juice and soft drink consumption have been shown to be related to obesity. However, this relationship has not been explored in Eastern Europe. The present study aimed to assess the cross-sectional and longitudinal relationships between fruit juice, soft drink consumption and body mass index (BMI) in Eastern European cohorts. METHODS Data from the Health, Alcohol and Psychosocial factors in Eastern Europe population-based prospective cohort study, based in Russia, Poland and the Czech Republic, were used. Intakes of sugar-sweetened beverage (SSB), artificially-sweetened beverage (ASB) and fruit juice were estimated from a food frequency questionnaire. Participant BMI values were assessed at baseline (n = 26 634) and after a 3-year follow-up (data available only for Russia, n = 5205). RESULTS Soft drink consumption was generally low, particularly in Russia. Compared to never drinkers of SSB, participants who drank SSB every day had a significantly higher BMI in the Czech [β-coefficient = 0.28; 95% confidence interval (CI) = 0.02-0.54], Russian (β-coefficient = 1.38; 95% CI = 0.62-2.15) and Polish (β-coefficient = 0.83; 95% CI = 0.29-1.37) cohorts. Occasional or daily ASB consumption was also positively associated with BMI in all three cohorts. Results for daily fruit juice intake were inconsistent, with a positive association amongst Russians (β-coefficient = 0.75; 95% CI = 0.28-1.21) but a negative trend in the Czech Republic (β-coefficient = -0.42; 95% CI = -0.86 to 0.02). Russians participants who drank SSB or ASB had an increased BMI after follow-up. CONCLUSIONS Our findings support previous studies suggesting that soft drink consumption (including SSBs and ASBs) is positively related to BMI, whereas our results for fruit juice were less consistent. Policies regarding these beverages should be considered in Eastern Europe to lower the risk of obesity.
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Affiliation(s)
- A. Garduño‐Alanís
- Department of Epidemiology and Public HealthUniversity College LondonLondonUK
- Research DepartmentUniversidad de la Salud del Estado de MéxicoTolucaMéxico
| | - S. Malyutina
- Research Institute of Internal and Preventive Medicine – Branch of the Institute of Cytology and GeneticsSiberian Branch of Russian Academy of SciencesNovosibirskRussia
- Novosibirsk State Medical UniversityNovosibirskRussia
| | - A. Pajak
- Department of Epidemiology and Population StudiesJagiellonian University Collegium MedicumKrakowPoland
| | - U. Stepaniak
- Department of Epidemiology and Population StudiesJagiellonian University Collegium MedicumKrakowPoland
| | - R. Kubinova
- National Institute of Public HealthPragueCzech Republic
| | - D. Denisova
- Research Institute of Internal and Preventive Medicine – Branch of the Institute of Cytology and GeneticsSiberian Branch of Russian Academy of SciencesNovosibirskRussia
| | - H. Pikhart
- Department of Epidemiology and Public HealthUniversity College LondonLondonUK
| | - A. Peasey
- Department of Epidemiology and Public HealthUniversity College LondonLondonUK
| | - M. Bobak
- Department of Epidemiology and Public HealthUniversity College LondonLondonUK
| | - D. Stefler
- Department of Epidemiology and Public HealthUniversity College LondonLondonUK
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21
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Luna E, Ruiz M, Malyutina S, Titarenko A, Kozela M, Pająk A, Kubinova R, Bobak M. The prospective association between frequency of contact with friends and relatives and quality of life in older adults from Central and Eastern Europe. Soc Psychiatry Psychiatr Epidemiol 2020; 55:1001-1010. [PMID: 32040668 PMCID: PMC7394932 DOI: 10.1007/s00127-020-01834-8] [Citation(s) in RCA: 9] [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: 05/23/2019] [Accepted: 02/03/2020] [Indexed: 11/26/2022]
Abstract
PURPOSE Studies suggest that frequent contact with friends and relatives promote mental wellbeing in later life, but most evidence comes from Western populations. We investigated the prospective relationship between frequency of contact with friends and relatives and quality of life (QoL) among older Central and Eastern European (CEE) adults and whether depressive symptoms mediated the hypothesised longitudinal relationship. METHODS Data from 6106 participants from the Health, Alcohol and Psychosocial factors In Eastern Europe (HAPIEE) study were used. Frequency of contact with friends and relatives was measured at baseline. QoL, at baseline and follow-up, was measured by the Control, Autonomy, Self-realisation, and Pleasure (CASP) 12-item scale. After assessing the prospective association using multivariable linear regression, the mediational hypothesis was tested using path analysis. RESULTS There was a significant prospective association between frequency of contact with friends and relatives and CASP-12 score (0-36) in fully adjusted models. Per every one unit increase in frequency of contact, there was a 0.12 (95% CI 0.06, 0.17) increase in CASP-12 score at follow-up, accounting for sociodemographic, health-related and baseline QoL. Pathway results showed that 81% of the longitudinal effect of frequency of contact on QoL was mediated through depressive symptoms. CONCLUSIONS Frequent contact with friends and relatives improves QoL of older Central and Eastern European adults, partly through buffering against depressive symptoms. Interventions to improve QoL at older ages should incorporate effective management of common mental disorders such as depression.
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Affiliation(s)
- Eliazar Luna
- Research Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 6BT, UK.
| | - Milagros Ruiz
- Research Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 6BT, UK
- Faculty of Physical Education and Sport, Charles University, José Martího 31162 52, Prague, Czech Republic
| | - Sofia Malyutina
- Laboratory of Ethipathogenesis and Clinics of Internal Diseases, Institute of Internal and Preventive Medicine, 175/1, Borisa Bogatkova street, Novosibirsk, Russia
| | - Anastasiya Titarenko
- Laboratory of Ethipathogenesis and Clinics of Internal Diseases, Institute of Internal and Preventive Medicine, 175/1, Borisa Bogatkova street, Novosibirsk, Russia
| | - Magdalena Kozela
- Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Grzegórzecka 20, 31-531, Krakow, Poland
| | - Andrzej Pająk
- Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Grzegórzecka 20, 31-531, Krakow, Poland
| | - Ruzena Kubinova
- Centre for Environmental Health Monitoring, National Institute of Public Health, Srobarova 48, 10042, Prague, Czech Republic
| | - Martin Bobak
- Research Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 6BT, UK
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22
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Stefler D, Brett D, Sarkadi Nagy E, Kopczynska E, Detchev S, Bati A, Malyutina S, Kubinova R, Pajak A, Bobak M. Traditional Eastern European diet and its relationship with mortality: results from the HAPIEE study. Eur J Public Health 2019. [DOI: 10.1093/eurpub/ckz185.060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Cardiovascular disease (CVD) and cancer mortality rates in Eastern European countries are among the highest in the world. Although unhealthy diet is an important risk factor for both of these chronic diseases, traditional eating habits and their health effects in this region have not yet been explored. This analysis assessed the relationship between traditional dietary pattern and mortality from all-causes, CVD and cancer in Eastern European population-based cohorts.
Methods
We used data from the Health, Alcohol and Psychosocial factors in Eastern Europe (HAPIEE) multi-centre prospective cohort study based in Russia, Poland and the Czech Republic (age range at baseline: 45-70 years). Diet was assessed by food frequency questionnaire, and we constructed an Eastern European diet score (EEDS) from nine food groups considered as “traditional” in this region. The relationship between EEDS and all-cause, CVD and cancer mortality was calculated with Cox-regression models.
Results
From the 18,852 participants, 2,234 died during the average follow-up of 11.7 years. In multivariable adjusted models, participants with high adherence to the traditional Eastern European diet had significantly higher risk of all-cause (HR 1.20; 95% CI 1.05-1.38) and CVD deaths (1.32; 1.05-1.64) compared to those with low adherence. The association with cancer mortality was not significant (1.12; 0.90-1.40). From the specific EEDS components, high consumption of lard was significantly positively related to all three mortality outcomes, while processed fruit or vegetable consumption showed consistent inverse associations.
Conclusions
Our results suggest that traditional eating habits may contribute to the poor health status, particularly the high CVD mortality rates, of populations in Eastern Europe. Adequate public health nutritional interventions in this region are essential.
Key messages
This work indicates that traditional dietary habits in Eastern European countries may be one of the reasons for the poor health status of populations in this region. Public health nutritional interventions which target traditional but unhealthy foods, such as lard, have the potential to considerably improve population health in Eastern Europe.
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Affiliation(s)
- D Stefler
- Department of Epidemiology and Public Health, University College London, London, UK
| | - D Brett
- School of Slavonic and East European Studies, University College London, London, UK
| | - E Sarkadi Nagy
- Department of Nutritional Epidemiology, National Institute of Pharmacy and Nutrition, Budapest, Hungary
| | - E Kopczynska
- Institute of Sociology, Jagiellonian University, Krakow, Poland
| | - S Detchev
- Department of History, South-West University, Blagoeavgrad, Bulgaria
| | - A Bati
- Institute of Ethnology, Hungarian Academy of Sciences, Budapest, Hungary
| | - S Malyutina
- Research Institute of Internal and Preventive Medicine, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
- Novosibirsk State Medical University, Novosibirsk, Russia
| | - R Kubinova
- National Institute of Public Health, Prague, Czech Republic
| | - A Pajak
- Department of Epidemiology and Population Studies, Jagiellonian University Collegium Medicum, Krakow, Poland
| | - M Bobak
- Department of Epidemiology and Public Health, University College London, London, UK
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23
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Pikhart H, Liu Q, Pajak A, Malyutina S, Kubinova R, Bobak M. Long working hours and mortality in Central and Eastern Europe: the HAPIEE study. Eur J Public Health 2019. [DOI: 10.1093/eurpub/ckz185.365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Long working hours are common in countries of Central and Eastern Europe (CEE). A wide range of epidemiological studies have showed that long working hours had an adverse effect on health but the evidence mostly comes from Western Europe, East Asia and North America. This study aimed to assess the relationship between long working hours and the risk of mortality in employed people in three Eastern European countries.
Methods
Participants, aged 45-69 years at baseline, were from the Health, Alcohol and Psychosocial Indicators in Eastern Europe (HAPIEE) cohort study conducted in Russia, Poland and the Czech Republic. Baseline survey included a structured questionnaire and examination in the clinic during 2002-2005. Working hours were assessed by a self-reported questionnaire at baseline. Participants have been followed-up for all-cause mortality and cause-specific mortality for an average of 11 years. Impact of long working hours on mortality was analysed by Cox proportional hazards regression. In all-cause mortality analysis, a total of 10878 men and women were included, and 10399 participants were included in cause-specific mortality analysis.
Results
During the follow-up, there were 1187 deaths from all causes, 288 from CVD, and 251 from cancer. Those who worked 61 hours or more in a week showed higher risk of mortality compared to those working 36-45 hours per week: HR 1.32 (95%CI 1.01 to 1.74) for all-cause mortality and 1.73 (95% CI 1.03-2.93) for CVD mortality. There was no significant increase in risk of cancer mortality associated with working long hours. There was no significant association between working 46-60 hours a week and risk of mortality, including all-cause mortality and cause-specific mortality.
Conclusions
The risk of all-cause and CVD mortality in three CEE was significantly higher among employees working extensive hours. These findings suggest that more attention should be paid to shortening working hours for those who work extensively.
Key messages
Long working hours increase risk of all cause and CVD mortality. Cancer mortality is not related to long working hours.
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Affiliation(s)
- H Pikhart
- IEHC, University College London, London, UK
- Recetox, Masaryk University, Brno, Czech Republic
| | - Q Liu
- IEHC, University College London, London, UK
| | - A Pajak
- Department of Epidemiology and Population Studies, Jagiellonian University, Krakow, Poland
| | - S Malyutina
- Institute of Internal and Preventive Medicine, Siberian Branch of the Russian Academy of Medical Sciences, Novosibirsk, Russia
| | - R Kubinova
- National Institute of Public Health, Prague, Czech Republic
| | - M Bobak
- IEHC, University College London, London, UK
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24
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Schmidt AF, Holmes MV, Preiss D, Swerdlow DI, Denaxas S, Fatemifar G, Faraway R, Finan C, Valentine D, Fairhurst-Hunter Z, Hartwig FP, Horta BL, Hypponen E, Power C, Moldovan M, van Iperen E, Hovingh K, Demuth I, Norman K, Steinhagen-Thiessen E, Demuth J, Bertram L, Lill CM, Coassin S, Willeit J, Kiechl S, Willeit K, Mason D, Wright J, Morris R, Wanamethee G, Whincup P, Ben-Shlomo Y, McLachlan S, Price JF, Kivimaki M, Welch C, Sanchez-Galvez A, Marques-Vidal P, Nicolaides A, Panayiotou AG, Onland-Moret NC, van der Schouw YT, Matullo G, Fiorito G, Guarrera S, Sacerdote C, Wareham NJ, Langenberg C, Scott RA, Luan J, Bobak M, Malyutina S, Pająk A, Kubinova R, Tamosiunas A, Pikhart H, Grarup N, Pedersen O, Hansen T, Linneberg A, Jess T, Cooper J, Humphries SE, Brilliant M, Kitchner T, Hakonarson H, Carrell DS, McCarty CA, Lester KH, Larson EB, Crosslin DR, de Andrade M, Roden DM, Denny JC, Carty C, Hancock S, Attia J, Holliday E, Scott R, Schofield P, O'Donnell M, Yusuf S, Chong M, Pare G, van der Harst P, Said MA, Eppinga RN, Verweij N, Snieder H, Christen T, Mook-Kanamori DO, Gustafsson S, Lind L, Ingelsson E, Pazoki R, Franco O, Hofman A, Uitterlinden A, Dehghan A, Teumer A, Baumeister S, Dörr M, Lerch MM, Völker U, Völzke H, Ward J, Pell JP, Meade T, Christophersen IE, Maitland-van der Zee AH, Baranova EV, Young R, Ford I, Campbell A, Padmanabhan S, Bots ML, Grobbee DE, Froguel P, Thuillier D, Roussel R, Bonnefond A, Cariou B, Smart M, Bao Y, Kumari M, Mahajan A, Hopewell JC, Seshadri S, Dale C, Costa RPE, Ridker PM, Chasman DI, Reiner AP, Ritchie MD, Lange LA, Cornish AJ, Dobbins SE, Hemminki K, Kinnersley B, Sanson M, Labreche K, Simon M, Bondy M, Law P, Speedy H, Allan J, Li N, Went M, Weinhold N, Morgan G, Sonneveld P, Nilsson B, Goldschmidt H, Sud A, Engert A, Hansson M, Hemingway H, Asselbergs FW, Patel RS, Keating BJ, Sattar N, Houlston R, Casas JP, Hingorani AD. Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9. BMC Cardiovasc Disord 2019; 19:240. [PMID: 31664920 PMCID: PMC6820948 DOI: 10.1186/s12872-019-1187-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [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: 04/12/2019] [Accepted: 08/19/2019] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND We characterised the phenotypic consequence of genetic variation at the PCSK9 locus and compared findings with recent trials of pharmacological inhibitors of PCSK9. METHODS Published and individual participant level data (300,000+ participants) were combined to construct a weighted PCSK9 gene-centric score (GS). Seventeen randomized placebo controlled PCSK9 inhibitor trials were included, providing data on 79,578 participants. Results were scaled to a one mmol/L lower LDL-C concentration. RESULTS The PCSK9 GS (comprising 4 SNPs) associations with plasma lipid and apolipoprotein levels were consistent in direction with treatment effects. The GS odds ratio (OR) for myocardial infarction (MI) was 0.53 (95% CI 0.42; 0.68), compared to a PCSK9 inhibitor effect of 0.90 (95% CI 0.86; 0.93). For ischemic stroke ORs were 0.84 (95% CI 0.57; 1.22) for the GS, compared to 0.85 (95% CI 0.78; 0.93) in the drug trials. ORs with type 2 diabetes mellitus (T2DM) were 1.29 (95% CI 1.11; 1.50) for the GS, as compared to 1.00 (95% CI 0.96; 1.04) for incident T2DM in PCSK9 inhibitor trials. No genetic associations were observed for cancer, heart failure, atrial fibrillation, chronic obstructive pulmonary disease, or Alzheimer's disease - outcomes for which large-scale trial data were unavailable. CONCLUSIONS Genetic variation at the PCSK9 locus recapitulates the effects of therapeutic inhibition of PCSK9 on major blood lipid fractions and MI. While indicating an increased risk of T2DM, no other possible safety concerns were shown; although precision was moderate.
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Affiliation(s)
- Amand F Schmidt
- Institute of Cardiovascular Science, University College London, 222 Euston Road, London, NW1 2DA, UK.
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
- UCL's BHF Research Accelerator Centre, London, UK.
| | - Michael V Holmes
- Medical Research Council Population Health Research Unit, Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - David Preiss
- Medical Research Council Population Health Research Unit, Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Daniel I Swerdlow
- Institute of Cardiovascular Science, University College London, 222 Euston Road, London, NW1 2DA, UK
- Department of Medicine, Imperial College London, London, UK
| | - Spiros Denaxas
- UCL's BHF Research Accelerator Centre, London, UK
- Health Data Research UK, University College London, 222 Euston Road, London, NW1 2DA, UK
- Institute of Health Informatics, University College London, 222 Euston Road, London, NW1 2DA, UK
- The Alan Turing Institute, British Library, 96 Euston Rd, London, NW1 2DB, UK
| | - Ghazaleh Fatemifar
- UCL's BHF Research Accelerator Centre, London, UK
- Health Data Research UK, University College London, 222 Euston Road, London, NW1 2DA, UK
- Institute of Health Informatics, University College London, 222 Euston Road, London, NW1 2DA, UK
| | - Rupert Faraway
- Institute of Cardiovascular Science, University College London, 222 Euston Road, London, NW1 2DA, UK
| | - Chris Finan
- Institute of Cardiovascular Science, University College London, 222 Euston Road, London, NW1 2DA, UK
- UCL's BHF Research Accelerator Centre, London, UK
| | - Dennis Valentine
- UCL's BHF Research Accelerator Centre, London, UK
- University College London, Farr Institute of Health Informatics, London, UK
| | - Zammy Fairhurst-Hunter
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Roosevelt Drive, Oxford, OX3 7LF, UK
| | | | - Bernardo Lessa Horta
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Elina Hypponen
- Centre for Population Health Research, Sansom Institute for Health Research, University of South Australia, Adelaide, Australia
- Population, Policy and Practice, UCL GOS Institute of Child Health, London, UK
- South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Christine Power
- Population, Policy and Practice, UCL GOS Institute of Child Health, London, UK
| | - Max Moldovan
- South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Erik van Iperen
- Durrer Center for Cardiovascular Research, Netherlands Heart Institute, Utrecht, The Netherlands
- Department of Clinical Epidemiology, Biostatistics And Bioinformatics, Academic Medical Center Amsterdam, Amsterdam, the Netherlands
| | - Kees Hovingh
- Department of vascular medicine, Academic Medical Center Amsterdam, Amsterdam, the Netherlands
| | - Ilja Demuth
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Berlin, Germany
- Charité - Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Kristina Norman
- Institute of Nutritional Science, University of Potsdam, 14558, Nuthetal, Germany
- Geriatrics Research Group, Charité - Universitätsmedizin Berlin, 13347, Berlin, Germany
- Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke, 14558, Nuthetal, Germany
| | - Elisabeth Steinhagen-Thiessen
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Berlin, Germany
| | | | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), Institutes of Neurogenetics & Cardiogenetics, University of Lübeck, Lübeck, Germany
- Center for Lifespan Changes in Brain and Cognition (LCBC), Dept. Psychology, University of Oslo, Oslo, Norway
| | - Christina M Lill
- Genetic and Molecular Epidemiology Group, Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), Institutes of Neurogenetics & Cardiogenetics, University of Lübeck, Lübeck, Germany
- Institute of Human Genetics, Lübeck, Germany
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College, London, UK
| | - Stefan Coassin
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, 6020, Innsbruck, Austria
| | - Johann Willeit
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | - Stefan Kiechl
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | - Karin Willeit
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
- Department of Neurology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Dan Mason
- Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK
| | - John Wright
- Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK
| | - Richard Morris
- Department Primary Care & Population Health, University College London, London, UK
| | - Goya Wanamethee
- Department Primary Care & Population Health, University College London, London, UK
| | - Peter Whincup
- Population Health Research Institute, St George's, University of London, London, UK
| | - Yoav Ben-Shlomo
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Stela McLachlan
- Centre for Population Health Sciences, The Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Jackie F Price
- Centre for Population Health Sciences, The Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, London, UK
| | - Catherine Welch
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, London, UK
| | - Adelaida Sanchez-Galvez
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, London, UK
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Andrew Nicolaides
- Department of Vascular Surgery, Imperial College, London, United Kingdom
- Department of Surgery, Nicosia Medical School, University of Nicosia, Nicosia, Cyprus
| | - Andrie G Panayiotou
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - N Charlotte Onland-Moret
- 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
| | - Giuseppe Matullo
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Giovanni Fiorito
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Simonetta Guarrera
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge, UK
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge, UK
| | - Robert A Scott
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge, UK
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge, UK
| | - Martin Bobak
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, London, UK
| | - Sofia Malyutina
- Novosibirsk State Medical University, Novosibirsk, Russian Federation
- Institute of Internal and Preventive Medicine, Siberian Branch of the Russian Academy of Medical Sciences, Novosibirsk, Russian Federation
| | - Andrzej Pająk
- Department of Epidemiology and Population Studies, Faculty of Health Sciences, Jagiellonian University Medical College, Kraków, Poland
| | | | | | - Hynek Pikhart
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, London, UK
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Allan Linneberg
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, The Capital Region of Denmark, Denmark
| | - Tine Jess
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, The Capital Region of Denmark, Denmark
| | - Jackie Cooper
- Centre for Cardiovascular Genetics, Department of Medicine, University College London, London, UK
| | - Steve E Humphries
- Centre for Cardiovascular Genetics, Department of Medicine, University College London, London, UK
| | - Murray Brilliant
- Center for Human Genetics, Marshfield Clinic Research Institute, Marshfield, USA
| | - Terrie Kitchner
- Center for Human Genetics, Marshfield Clinic Research Institute, Marshfield, USA
| | | | - David S Carrell
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | | | | | - Eric B Larson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - David R Crosslin
- Department of Biomedical Informatics and Medical Education University of Washington Seattle, Seattle, WA, USA
| | | | - Dan M Roden
- Department of Medicine, Department of Pharmacology, Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA
| | | | | | | | - John Attia
- University of Newcastle, Newcastle, NSW, Australia
- Public Health Program, Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Elizabeth Holliday
- University of Newcastle, Newcastle, NSW, Australia
- Public Health Program, Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Rodney Scott
- University of Newcastle, Newcastle, NSW, Australia
| | - Peter Schofield
- Hunter New England Local Health District, Newcastle, NSW, Australia
| | | | - Salim Yusuf
- Population Health Research Institute, Hamilton, Ontario, Canada
| | - Michael Chong
- Population Health Research Institute, Hamilton, Ontario, Canada
| | - Guillaume Pare
- Population Health Research Institute, Hamilton, Ontario, Canada
| | - Pim van der Harst
- Durrer Center for Cardiovascular Research, Netherlands Heart Institute, Utrecht, The Netherlands
- Department of Clinical Epidemiology, Biostatistics And Bioinformatics, Academic Medical Center Amsterdam, Amsterdam, the Netherlands
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - M Abdullah Said
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Ruben N Eppinga
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Niek Verweij
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Tim Christen
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - D O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Stefan Gustafsson
- Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, Sweden
| | - Lars Lind
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Erik Ingelsson
- Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, Sweden
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Raha Pazoki
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Oscar Franco
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Andre Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Sebastian Baumeister
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- Chair of Epidemiology, Ludwig-Maximilians-Universität München, UNIKA-T Augsburg, Augsburg, Germany
| | - Marcus Dörr
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Markus M Lerch
- Department of Internal Medicine A, University Medicine Greifswald, Greifswald, Germany
| | - Uwe Völker
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Joey Ward
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, G12 8RZ, Scotland, UK
| | - Jill P Pell
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, G12 8RZ, Scotland, UK
| | - Tom Meade
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Ingrid E Christophersen
- The Department of Medical Research, Bærum Hospital, Vestre Viken Hospital Trust, Gjettum, Norway
| | - Anke H Maitland-van der Zee
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute of Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, The Netherlands
- Department of Respiratory Medicine, Academic Medical Centre, University of Amsterdam, Amsterdam, the Netherlands
| | | | - Robin Young
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Archie Campbell
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Sandosh Padmanabhan
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, G12 8TA, UK
| | - Michiel L Bots
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - Diederick E Grobbee
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - Philippe Froguel
- CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000, Lille, France
- Department of Genomics of Common Disease, Imperial College London, W12 0NN, London, United Kingdom
| | - Dorothée Thuillier
- CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000, Lille, France
| | - Ronan Roussel
- INSERM, U-1138, Centre de Recherche des Cordeliers, Paris, France
- UFR de Médecine, Université Paris Diderot, Sorbonne Paris Cité, Paris, France
- Départment de Diabétologie, Endocrinologie et Nutrition, Assistance Publique Hôpitaux de Paris, Hôpital Bicha, Paris, France
| | - Amélie Bonnefond
- CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000, Lille, France
| | - Bertrand Cariou
- l'institut du Thorax, INSERM, CNRS, UNIV Nantes, CHU Nantes, Nantes, France
| | - Melissa Smart
- Institute for Social and Economic Research, University of Essex, Essex, UK
| | - Yanchun Bao
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, England
| | - Meena Kumari
- Boston University School of Medicine, Boston, MA, USA
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, England
| | - Jemma C Hopewell
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Roosevelt Drive, Oxford, OX3 7LF, UK
| | | | - Caroline Dale
- University College London, Farr Institute of Health Informatics, London, UK
| | | | - Paul M Ridker
- Harvard Medical School Center for Cardiovascular Disease Prevention Brigham and Women's Hospital, Boston, USA
| | - Daniel I Chasman
- Harvard Medical School Center for Cardiovascular Disease Prevention Brigham and Women's Hospital, Boston, USA
| | | | | | | | - Alex J Cornish
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Sara E Dobbins
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Kari Hemminki
- Div. Molecular Genetic Epidemiology German Cancer Research Center, Im Neuenheimer Feld 580, 69120, Heidelberg, Germany
- Deutsches Krebsforschungszentrum, Heidelberg, Germany
| | - Ben Kinnersley
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Marc Sanson
- The Institut du Cerveau et de la Moelle épinière - ICM, Paris, France
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, F-75013, Paris, France
| | - Karim Labreche
- The Institut du Cerveau et de la Moelle épinière - ICM, Paris, France
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, F-75013, Paris, France
| | - Matthias Simon
- Department of Neurosurgery, Bethel Clinic, Kantensiek 11, 33617, Bielefeld, Germany
| | - Melissa Bondy
- Division of Hematology-Oncology, Department of Pediatrics, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Philip Law
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Helen Speedy
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - James Allan
- Northern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne, UK
| | - Ni Li
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Molly Went
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Niels Weinhold
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, USA
| | - Gareth Morgan
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, USA
| | - Pieter Sonneveld
- Department of Hematology, Erasmus MC Cancer Institute, 3075 EA, Rotterdam, the Netherlands
| | - Björn Nilsson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84, Lund, Sweden
| | - Hartmut Goldschmidt
- University Clinic Heidelberg, Internal Medicine V and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Amit Sud
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Andreas Engert
- Department of Internal Medicine, University Hospital of Cologne, Cologne, Germany
| | - Markus Hansson
- Hematology Clinic, Skåne University Hospital, Skåne, Sweden
- Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
| | - Harry Hemingway
- UCL's BHF Research Accelerator Centre, London, UK
- Health Data Research UK, University College London, 222 Euston Road, London, NW1 2DA, UK
- Institute of Health Informatics, University College London, 222 Euston Road, London, NW1 2DA, UK
- The National Institute for Health Research University College London Hospitals Biomedical Research Centre, University College London, 222 Euston Road, London, NW1 2DA, UK
| | - Folkert W Asselbergs
- Institute of Cardiovascular Science, University College London, 222 Euston Road, London, NW1 2DA, UK
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- UCL's BHF Research Accelerator Centre, London, UK
- Health Data Research UK and Institute of Health Informatics, University College London, London, United Kingdom
| | - Riyaz S Patel
- Institute of Cardiovascular Science, University College London, 222 Euston Road, London, NW1 2DA, UK
- UCL's BHF Research Accelerator Centre, London, UK
- The Barts Heart Centre, St Bartholomew's Hospital, London, UK
| | | | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, G12 8TA, UK
| | - Richard Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Juan P Casas
- Massachusetts Veterans Epidemiology and Research Information Center (MAVERIC) Veterans Affairs Boston Healthcare System, Boston, USA
| | - Aroon D Hingorani
- Institute of Cardiovascular Science, University College London, 222 Euston Road, London, NW1 2DA, UK
- UCL's BHF Research Accelerator Centre, London, UK
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Ruiz M, Malyutina S, Pajak A, Kozela M, Kubinova R, Bobak M. Congruent relations between perceived neighbourhood social cohesion and depressive symptoms among older European adults: An East-West analysis. Soc Sci Med 2019; 237:112454. [PMID: 31376532 PMCID: PMC6728599 DOI: 10.1016/j.socscimed.2019.112454] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 07/23/2019] [Accepted: 07/28/2019] [Indexed: 01/24/2023]
Abstract
Rationale Two gaps in the literature arise on the relationship between social cohesion and depressive disorders. Firstly, there is a lack of studies comparing countries with diverse communal bonds and population-level differences in depression. Secondly, most work on explanatory mechanisms has overwhelmingly focussed on social network and social support pathways. Objectives We compared the prospective association between perceived neighbourhood social cohesion and depressive symptoms among older adults in England, the Czech Republic, Poland and Russia; and examined whether psychological and health behavioural pathways mediated this association. Methods Harmonized data on 26,081 adults from the English Longitudinal Study of Ageing (ELSA), and the Health, Alcohol and Psychosocial factors In Eastern Europe (HAPIEE) studies were analysed. Prospective associations between perceived neighbourhood social cohesion at baseline and depressive symptoms at follow-up were assessed using multivariable negative binomial regression. The psychological (through control of life, and control at home) and health behavioural (through smoking and drinking) pathways were tested using path analysis. Results Low cohesion predicted a higher number of depressive symptoms at follow-up among English (b = 0.106, p = 0.001), Czech (b=0.203, p < 0.001), Polish (0.115, p < 0.001) and Russian adults (b = 0.087, p < 0.001). Indirect effects via psychological mechanisms were strong and explained 64% (Poland), 82% (Russia), 84% (England) and 95% (Czech Republic) of the total indirect effects from low cohesion to elevated symptoms in these populations. Indirect effects via health behaviours were much weaker by comparison. Conclusions Prospective associations between low social cohesion and increased depressive symptoms were largely congruent among older adults from England and three Central and Eastern European countries. These associations operated via a psychological, but not a health behavioural, pathway among ageing adults living in diverse parts of Europe. Social cohesion protects against depressive symptoms in older European adults. The association operates via psychological, but not health behavioural, mechanisms. Findings were highly consistent between English, Czech, Polish and Russian adults.
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Affiliation(s)
- Milagros Ruiz
- Research Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 7HB, United Kingdom; Faculty of Physical Education and Sport, Charles University, José Martího 31, Prague 6, 162 52, Czech Republic.
| | - Sofia Malyutina
- Research Institute of Internal and Preventive Medicine, Branch of the Institute of Cytology and Genetics, SB RAS, Prospekt Lavrentyeva 10, 630090, Novosibirsk, Russia; Novosibirsk State Medical University, Borisa Bogatkova 175/1, 630089, Novosibirsk, Russia.
| | - Andrzej Pajak
- Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Grzegórzecka 20, 31-531, Krakow, Poland.
| | - Magdalena Kozela
- Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Grzegórzecka 20, 31-531, Krakow, Poland.
| | - Ruzena Kubinova
- Centre for Environmental Health Monitoring, National Institute of Public Health, Šrobárova 48, 10042, Prague, Czech Republic.
| | - Martin Bobak
- Research Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 7HB, United Kingdom.
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26
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Bertossi Urzua C, Ruiz MA, Pajak A, Kozela M, Kubinova R, Malyutina S, Peasey A, Pikhart H, Marmot M, Bobak M. The prospective relationship between social cohesion and depressive symptoms among older adults from Central and Eastern Europe. J Epidemiol Community Health 2018; 73:117-122. [PMID: 30385516 PMCID: PMC6352418 DOI: 10.1136/jech-2018-211063] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 09/12/2018] [Accepted: 10/12/2018] [Indexed: 11/15/2022]
Abstract
Background Social cohesion has a potential protective effect against depression, but evidence for Central and Eastern Europe is lacking. We investigated the prospective association between social cohesion and elevated depressive symptoms in the Czech Republic, Russia and Poland, and assessed whether alcohol drinking and smoking mediated this association. Methods Cohort data from 15 438 older urban participants from the Health, Alcohol and Psychosocial factors In Eastern Europe project were analysed. Baseline social cohesion was measured by five questions, and depressive symptoms were measured 3 years later by the 10-item Center for Epidemiological Depression (CES-D) Scale. Nested logistic regression models estimated ORs of elevated depressive symptoms (CES-D 10 score ≥4) by z-scores and tertiles of social cohesion. Results Per 1 SD decrease in social cohesion score, adjusted ORs of elevated depressive symptoms were 1.13 (95% CI 1.05 to 1.23) and 1.05 (95% CI 0.99 to 1.13) in men and women, respectively. Further adjustment for smoking and drinking did not attenuate these associations in either men (OR=1.13, 95% CI 1.05 to 1.22) or women (OR=1.05, 95% CI 0.99 to 1.13). Similarly, the fully adjusted ORs comparing the lowest versus highest social cohesion tertile were 1.33 (95% CI 1.10 to 1.62) in men and 1.18 (95% CI 1.01 to 1.39) in women. Conclusions Lower levels of social cohesion was associated with heightened depressive symptoms after a 3-year follow-up among older Czech, Russian and Polish adults. These effects appeared stronger in men, and alcohol and smoking played no appreciable role in this association.
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Affiliation(s)
- Carla Bertossi Urzua
- Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Milagros A Ruiz
- Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Andrzej Pajak
- Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland
| | - Magdalena Kozela
- Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland
| | - Ruzena Kubinova
- Centre for Environmental Health Monitoring, National Institute of Public Health, Prague, Czech Republic
| | - Sofia Malyutina
- Research Institute of Internal and Preventive Medicine, Branch of the Institute of Cytology and Genetics, SB RAS, Novosibirsk, Russia.,Novosibirsk State Medical University, Novosibirsk, Russia
| | - Anne Peasey
- Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Hynek Pikhart
- Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Michael Marmot
- Research Department of Epidemiology and Public Health, University College London, London, UK.,UCL Institute of Health Equity and Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Martin Bobak
- Research Department of Epidemiology and Public Health, University College London, London, UK
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27
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Stefler D, Hu Y, Malyutina S, Pajak A, Kubinova R, Peasey A, Pikhart H, Rodriguez-Artalejo F, Bobak M. Mediterranean diet and physical functioning trajectories in Eastern Europe: Findings from the HAPIEE study. PLoS One 2018; 13:e0200460. [PMID: 30001406 PMCID: PMC6042732 DOI: 10.1371/journal.pone.0200460] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [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] [Subscribe] [Scholar Register] [Received: 03/17/2017] [Accepted: 06/24/2018] [Indexed: 11/25/2022] Open
Abstract
Background Unhealthy diet may increase the risk of impaired physical functioning in older age. Although poor diet and limited physical functioning both seem to be particularly common in Eastern Europe, no previous study has assessed the relationship between these two factors in this region. The current analysis examined the association between overall diet quality and physical functioning in Eastern European populations. Methods We used data on 25,504 persons (aged 45–69 years at baseline) who participated in the Health Alcohol and Psychosocial factors in Eastern Europe (HAPIEE) study. Dietary assessment at baseline used food frequency questionnaire, and the overall diet quality was evaluated by the Mediterranean diet score (MDS). Physical functioning (PF) was measured by the physical functioning subscale (PF-10) of the 36-item Short-Form Health Survey at baseline and three subsequent occasions over a 10-year period. The cross-sectional and longitudinal relationships between the MDS and PF were examined simultaneously using growth curve models. Results Men and women with higher adherence to the Mediterranean diet had significantly better PF at baseline; after multivariable adjustment, the regression coefficient per 1-unit increase in the MDS was 0.39 (95% CI: 0.25, 0.52) in men and 0.50 (0.36, 0.64) in women. However, we found no statistically significant link between baseline MDS and the subsequent slope of PF decline in neither gender; the coefficients were -0.02 (-0.04, 0.00) in men and -0.01 (-0.03, 0.02) in women. Discussion Our results do not support the hypothesis that the Mediterranean diet has a substantial impact on the trajectories of physical functioning, although the differences existing at baseline may be related to dietary habits in earlier life.
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Affiliation(s)
- Denes Stefler
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
- * E-mail: (DS)
| | - Yaoyue Hu
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
- Max Planck Institute for Demographic Research, Rostock, Germany
| | - Sofia Malyutina
- Institute of Internal and Preventive Medicine, Siberian Branch of the Russian Academy of Medical Sciences, Novosibirsk, Russia
| | - Andrzej Pajak
- Department of Epidemiology and Population Studies, Jagiellonian University Collegium Medicum, Krakow, Poland
| | | | - Anne Peasey
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Hynek Pikhart
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Fernando Rodriguez-Artalejo
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid/IdiPaz and CIBERESP, Madrid, Spain
| | - Martin Bobak
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
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Zhou B, Bentham J, Di Cesare M, Bixby H, Danaei G, Hajifathalian K, Taddei C, Carrillo-Larco RM, Djalalinia S, Khatibzadeh S, Lugero C, Peykari N, Zhang WZ, Bennett J, Bilano V, Stevens GA, Cowan MJ, Riley LM, Chen Z, Hambleton IR, Jackson RT, Kengne AP, Khang YH, Laxmaiah A, Liu J, Malekzadeh R, Neuhauser HK, Sorić M, Starc G, Sundström J, Woodward M, Ezzati M, Abarca-Gómez L, Abdeen ZA, Abu-Rmeileh NM, Acosta-Cazares B, Adams RJ, Aekplakorn W, Afsana K, Aguilar-Salinas CA, Agyemang C, Ahmad NA, Ahmadvand A, Ahrens W, Ajlouni K, Akhtaeva N, Al-Raddadi R, Ali MM, Ali O, Alkerwi A, Aly E, Amarapurkar DN, Amouyel P, Amuzu A, Andersen LB, Anderssen SA, Ängquist LH, Anjana RM, Ansong D, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arlappa N, Arveiler D, Aryal KK, Aspelund T, Assah FK, Assunção MCF, Avdicová M, Azevedo A, Azizi F, Babu BV, Bahijri S, Balakrishna N, Bamoshmoosh M, Banach M, Bandosz P, Banegas JR, Barbagallo CM, Barceló A, Barkat A, Barros AJD, Barros MV, Bata I, Batieha AM, Batyrbek A, Baur LA, Beaglehole R, Romdhane HB, Benet M, Benson LS, Bernabe-Ortiz A, Bernotiene G, Bettiol H, Bhagyalaxmi A, Bharadwaj S, Bhargava SK, Bi Y, Bikbov M, Bista B, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Blokstra A, Bo S, Bobak M, Boeing H, Boggia JG, Boissonnet CP, Bongard V, Borchini R, Bovet P, Braeckman L, Brajkovich I, Branca F, Breckenkamp J, Brenner H, Brewster LM, Bruno G, Bueno-de-Mesquita HB, Bugge A, Burns C, Bursztyn M, de León AC, Cacciottolo J, Cai H, Cameron C, Can G, Cândido APC, Capuano V, Cardoso VC, Carlsson AC, Carvalho MJ, Casanueva FF, Casas JP, Caserta CA, Chamukuttan S, Chan AW, Chan Q, Chaturvedi HK, Chaturvedi N, Chen CJ, Chen F, Chen H, Chen S, Chen Z, Cheng CY, Dekkaki IC, Chetrit A, Chiolero A, Chiou ST, Chirita-Emandi A, Chirlaque MD, Cho B, Cho Y, Christofaro DG, Chudek J, Cifkova R, Cinteza E, Claessens F, Clays E, Concin H, Cooper C, Cooper R, Coppinger TC, Costanzo S, Cottel D, Cowell C, Craig CL, Crujeiras AB, Cruz JJ, D'Arrigo G, d'Orsi E, Dallongeville J, Damasceno A, Danaei G, Dankner R, Dantoft TM, Dauchet L, Davletov K, De Backer G, De Bacquer D, de Gaetano G, De Henauw S, de Oliveira PD, De Smedt D, Deepa M, Dehghan A, Delisle H, Deschamps V, Dhana K, Di Castelnuovo AF, Dias-da-Costa JS, Diaz A, Dickerson TT, Djalalinia S, Do HTP, Donfrancesco C, Donoso SP, Döring A, Dorobantu M, Doua K, Drygas W, Dulskiene V, Džakula A, Dzerve V, Dziankowska-Zaborszczyk E, Eggertsen R, Ekelund U, El Ati J, Elliott P, Elosua R, Erasmus RT, Erem C, Eriksen L, Eriksson JG, Escobedo-de la Peña J, Evans A, Faeh D, Fall CH, Farzadfar F, Felix-Redondo FJ, Ferguson TS, Fernandes RA, Fernández-Bergés D, Ferrante D, Ferrari M, Ferreccio C, Ferrieres J, Finn JD, Fischer K, Föger B, Foo LH, Forslund AS, Forsner M, Fouad HM, Francis DK, do Carmo Franco M, Franco OH, Frontera G, Fuchs FD, Fuchs SC, Fujita Y, Furusawa T, Gaciong Z, Galvano F, Garcia-de-la-Hera M, Gareta D, Garnett SP, Gaspoz JM, Gasull M, Gates L, Geleijnse JM, Ghasemian A, Ghimire A, Giampaoli S, Gianfagna F, Gill TK, Giovannelli J, Goldsmith RA, Gonçalves H, Gonzalez-Gross M, González-Rivas JP, Gorbea MB, Gottrand F, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grøntved A, Grosso G, Gruden G, Grujic V, Gu D, Guan OP, Gudmundsson EF, Gudnason V, Guerrero R, Guessous I, Guimaraes AL, Gulliford MC, Gunnlaugsdottir J, Gunter M, Gupta PC, Gupta R, Gureje O, Gurzkowska B, Gutierrez L, Gutzwiller F, Hadaegh F, Halkjær J, Hambleton IR, Hardy R, Hari Kumar R, Hata J, Hayes AJ, He J, He Y, Elisabeth M, Henriques A, Cadena LH, Herrala S, Heshmat R, Hihtaniemi IT, Ho SY, Ho SC, Hobbs M, Hofman A, Dinc GH, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Than Htike MM, Hu Y, Huerta JM, Huisman M, Husseini AS, Huybrechts I, Hwalla N, Iacoviello L, Iannone AG, Ibrahim MM, Wong NI, Ikeda N, Ikram MA, Irazola VE, Islam M, al-Safi Ismail A, Ivkovic V, Iwasaki M, Jackson RT, Jacobs JM, Jaddou H, Jafar T, Jamrozik K, Janszky I, Jasienska G, Jelaković A, Jelaković B, Jennings G, Jeong SL, Jiang CQ, Joffres M, Johansson M, Jokelainen JJ, Jonas JB, Jørgensen T, Joshi P, Jóźwiak J, Juolevi A, Jurak G, Jureša V, Kaaks R, Kafatos A, Kajantie EO, Kalter-Leibovici O, Kamaruddin NA, Karki KB, Kasaeian A, Katz J, Kauhanen J, Kaur P, Kavousi M, Kazakbaeva G, Keil U, Boker LK, Keinänen-Kiukaanniemi S, Kelishadi R, Kemper HCG, Kengne AP, Kerimkulova A, Kersting M, Key T, Khader YS, Khalili D, Khang YH, Khateeb M, Khaw KT, Kiechl-Kohlendorfer U, Kiechl S, Killewo J, Kim J, Kim YY, Klumbiene J, Knoflach M, Kolle E, Kolsteren P, Korrovits P, Koskinen S, Kouda K, Kowlessur S, Koziel S, Kriemler S, Kristensen PL, Krokstad S, Kromhout D, Kruger HS, Kubinova R, Kuciene R, Kuh D, Kujala UM, Kulaga Z, Krishna Kumar R, Kurjata P, Kusuma YS, Kuulasmaa K, Kyobutungi C, Laatikainen T, Lachat C, Lam TH, Landrove O, Lanska V, Lappas G, Larijani B, Laugsand LE, Laxmaiah A, Le Nguyen Bao K, Le TD, Leclercq C, Lee J, Lee J, Lehtimäki T, León-Muñoz LM, Levitt NS, Li Y, Lilly CL, Lim WY, Lima-Costa MF, Lin HH, Lin X, Lind L, Linneberg A, Lissner L, Litwin M, Liu J, Lorbeer R, Lotufo PA, Lozano JE, Luksiene D, Lundqvist A, Lunet N, Lytsy P, Ma G, Ma J, Machado-Coelho GLL, Machi S, Maggi S, Magliano DJ, Magriplis E, Majer M, Makdisse M, Malekzadeh R, Malhotra R, Mallikharjuna Rao K, Malyutina S, Manios Y, Mann JI, Manzato E, Margozzini P, Marques-Vidal P, Marques LP, Marrugat J, Martorell R, Mathiesen EB, Matijasevich A, Matsha TE, Mbanya JCN, Mc Donald Posso AJ, McFarlane SR, McGarvey ST, McLachlan S, McLean RM, McLean SB, McNulty BA, Mediene-Benchekor S, Medzioniene J, Meirhaeghe A, Meisinger C, Menezes AMB, Menon GR, Meshram II, Metspalu A, Meyer HE, Mi J, Mikkel K, Miller JC, Minderico CS, Francisco J, Miranda JJ, Mirrakhimov E, Mišigoj-Durakovic M, Modesti PA, Mohamed MK, Mohammad K, Mohammadifard N, Mohan V, Mohanna S, Mohd Yusoff MF, Møllehave LT, Møller NC, Molnár D, Momenan A, Mondo CK, Monyeki KDK, Moon JS, Moreira LB, Morejon A, Moreno LA, Morgan K, Moschonis G, Mossakowska M, Mostafa A, Mota J, Esmaeel Motlagh M, Motta J, Msyamboza KP, Mu TT, Muiesan ML, Müller-Nurasyid M, Murphy N, Mursu J, Musil V, Nabipour I, Nagel G, Naidu BM, Nakamura H, Námešná J, Nang EEK, Nangia VB, Narake S, Nauck M, Navarrete-Muñoz EM, Ndiaye NC, Neal WA, Nenko I, Neovius M, Nervi F, Neuhauser HK, Nguyen CT, Nguyen ND, Nguyen QN, Nguyen QV, Nieto-Martínez RE, Niiranen TJ, Ning G, Ninomiya T, Nishtar S, Noale M, Noboa OA, Noorbala AA, Norat T, Noto D, Al Nsour M, O'Reilly D, Oda E, Oehlers G, Oh K, Ohara K, Olinto MTA, Oliveira IO, Omar MA, Onat A, Ong SK, Ono LM, Ordunez P, Ornelas R, Osmond C, Ostojic SM, Ostovar A, Otero JA, Overvad K, Owusu-Dabo E, Paccaud FM, Padez C, Pahomova E, Pajak A, Palli D, Palmieri L, Pan WH, Panda-Jonas S, Panza F, Papandreou D, Park SW, Parnell WR, Parsaeian M, Patel ND, Pecin I, Pednekar MS, Peer N, Peeters PH, Peixoto SV, Peltonen M, Pereira AC, Peters A, Petersmann A, Petkeviciene J, Peykari N, Pham ST, Pigeot I, Pikhart H, Pilav A, Pilotto L, Pitakaka F, Piwonska A, Plans-Rubió P, Polašek O, Porta M, Portegies MLP, Pourshams A, Poustchi H, Pradeepa R, Prashant M, Price JF, Puder JJ, Puiu M, Punab M, Qasrawi RF, Qorbani M, Bao TQ, Radic I, Radisauskas R, Rahman M, Raitakari O, Raj M, Ramachandra Rao S, Ramachandran A, Ramos E, Rampal L, Rampal S, Rangel Reina DA, Redon J, Reganit PFM, Ribeiro R, Riboli E, Rigo F, Rinke de Wit TF, Ritti-Dias RM, Robinson SM, Robitaille C, Rodríguez-Artalejo F, del Cristo Rodriguez-Perez M, Rodríguez-Villamizar LA, Rojas-Martinez R, Romaguera D, Ronkainen K, Rosengren A, Roy JGR, Rubinstein A, Sandra Ruiz-Betancourt B, Rutkowski M, Sabanayagam C, Sachdev HS, Saidi O, Sakarya S, Salanave B, Salazar Martinez E, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sans S, Santos DA, Santos IS, Nunes dos Santos R, Santos R, Saramies JL, Sardinha LB, Sarganas G, Sarrafzadegan N, Saum KU, Savva S, Scazufca M, Schargrodsky H, Schipf S, Schmidt CO, Schöttker B, Schultsz C, Schutte AE, Sein AA, Sen A, Senbanjo IO, Sepanlou SG, Sharma SK, Shaw JE, Shibuya K, Shin DW, Shin Y, Si-Ramlee K, Siantar R, Sibai AM, Santos Silva DA, Simon M, Simons J, Simons LA, Sjöström M, Skovbjerg S, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, Smith MC, Snijder MB, So HK, Sobngwi E, Söderberg S, Solfrizzi V, Sonestedt E, Song Y, Sørensen TIA, Soric M, Jérome CS, Soumare A, Staessen JA, Starc G, Stathopoulou MG, 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, Sun CA, Sundström J, Sung YT, Suriyawongpaisal P, Sy RG, Shyong Tai E, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanser F, Tao Y, Tarawneh MR, Tarqui-Mamani CB, Tautu OF, Taylor A, Theobald H, Theodoridis X, Thijs L, Thuesen BH, Tjonneland A, Tolonen HK, Tolstrup JS, Topbas M, Topór-Madry R, Tormo MJ, Torrent M, Traissac P, Trichopoulos D, Trichopoulou A, Trinh OTH, Trivedi A, Tshepo L, Tulloch-Reid MK, Tullu F, Tuomainen TP, Tuomilehto J, Turley ML, Tynelius P, Tzourio C, Ueda P, Ugel EE, Ulmer H, Uusitalo HMT, Valdivia G, Valvi D, van der Schouw YT, Van Herck K, Van Minh H, van Rossem L, Van Schoor NM, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Vatten L, Vega T, Velasquez-Melendez G, Veronesi G, Monique Verschuren WM, Verstraeten R, Victora CG, Viet L, Viikari-Juntura E, Vineis P, Vioque J, Virtanen JK, Visvikis-Siest S, Viswanathan B, Vlasoff T, Vollenweider P, Voutilainen S, Wade AN, Wagner A, Walton J, Wan Bebakar WM, Wan Mohamud WN, Wanderley RS, Wang MD, Wang Q, Wang YX, Wang YW, Wannamethee SG, Wareham N, Wedderkopp N, Weerasekera D, Whincup PH, Widhalm K, Widyahening IS, Wiecek A, Wijga AH, Wilks RJ, Willeit J, Willeit P, Williams EA, Wilsgaard T, Wojtyniak B, Wong-McClure RA, Wong JYY, Wong TY, Woo J, Woodward M, Giwercman Wu A, Wu FC, Wu S, Xu H, Yan W, Yang X, Ye X, Yiallouros PK, Yoshihara A, Younger-Coleman NO, Yusoff AF, Zainuddin AA, Zambon S, Zampelas A, Zdrojewski T, Zeng Y, Zhao D, Zhao W, Zheng W, Zheng Y, Zhu D, Zhussupov B, Zimmermann E, Cisneros JZ. Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure: a pooled analysis of 1018 population-based measurement studies with 88.6 million participants. Int J Epidemiol 2018; 47:872-883i. [PMID: 29579276 PMCID: PMC6005056 DOI: 10.1093/ije/dyy016] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 01/16/2018] [Accepted: 01/24/2018] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Change in the prevalence of raised blood pressure could be due to both shifts in the entire distribution of blood pressure (representing the combined effects of public health interventions and secular trends) and changes in its high-blood-pressure tail (representing successful clinical interventions to control blood pressure in the hypertensive population). Our aim was to quantify the contributions of these two phenomena to the worldwide trends in the prevalence of raised blood pressure. METHODS We pooled 1018 population-based studies with blood pressure measurements on 88.6 million participants from 1985 to 2016. We first calculated mean systolic blood pressure (SBP), mean diastolic blood pressure (DBP) and prevalence of raised blood pressure by sex and 10-year age group from 20-29 years to 70-79 years in each study, taking into account complex survey design and survey sample weights, where relevant. We used a linear mixed effect model to quantify the association between (probit-transformed) prevalence of raised blood pressure and age-group- and sex-specific mean blood pressure. We calculated the contributions of change in mean SBP and DBP, and of change in the prevalence-mean association, to the change in prevalence of raised blood pressure. RESULTS In 2005-16, at the same level of population mean SBP and DBP, men and women in South Asia and in Central Asia, the Middle East and North Africa would have the highest prevalence of raised blood pressure, and men and women in the high-income Asia Pacific and high-income Western regions would have the lowest. In most region-sex-age groups where the prevalence of raised blood pressure declined, one half or more of the decline was due to the decline in mean blood pressure. Where prevalence of raised blood pressure has increased, the change was entirely driven by increasing mean blood pressure, offset partly by the change in the prevalence-mean association. CONCLUSIONS Change in mean blood pressure is the main driver of the worldwide change in the prevalence of raised blood pressure, but change in the high-blood-pressure tail of the distribution has also contributed to the change in prevalence, especially in older age groups.
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Lustigova M, Dzurova D, Pikhart H, Kubinova R, Bobak M. Cardiovascular health among the Czech population at the beginning of the 21st century: a 12-year follow-up study. J Epidemiol Community Health 2018; 72:442-448. [PMID: 29439193 PMCID: PMC5909738 DOI: 10.1136/jech-2017-209967] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Revised: 01/03/2018] [Accepted: 01/20/2018] [Indexed: 12/21/2022]
Abstract
BACKGROUND In the late 1980s, Czechia was among the countries which had the highest cardiovascular mortality in the world. In spite of enormous improvements since that time, there are still large opportunities in further improving cardiovascular health. METHODS Based on the Czech Health, Alcohol and Psychosocial Factors in Eastern Europe sample (n=8449 at baseline, 12 years of follow-up, 494 cardiovascular disease (CVD) deaths up to 2015-events), the impact of selected covariates such as education, smoking habits, high blood pressure, blood cholesterol level, diabetes, obesity, physical activity and binge drinking and their multifactorial effects on cardiovascular mortality was evaluated by Cox regression. In addition, population attributable fractions (PAFs) were used to quantify the impact of these factors on CVD mortality in the population. RESULTS Education was found as the strongest determinant of CVD mortality (primary vs university, HR 2.77, P<0.001; PAF=50.5%). CVD risk was two times higher for persons with diabetes compared with those without (HR 2.02, P<0.001, PAF=23.2%). Furthermore, significant factors found were smoking (smoker vs non-smoker, HR 1.91, P<0.001; PAF=26.5%), high blood pressure (HR 1.73, P<0.001; PAF=35.3%) and physical inactivity (none vs sufficient, HR 1.60, P<0.001; PAF=22.9%). Conversely, the effect of obesity was low (HR 1.29, P value =0.020), and binge drinking and high blood cholesterol level were not significant at all. CONCLUSIONS Education had the largest impact on cardiovascular mortality among the Czech population. More than 50% of CVD death would be prevented if the whole population had the same risk values as the highest educated population. Reducing disparities in health related to education should benefit from attention to cardiovascular health literacy.
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Affiliation(s)
- Michala Lustigova
- Environmental and Population Health Monitoring Centre, National Institute of Public Health, Prague, Czech Republic.,Department of Social Geography and Regional Development, Faculty of Science, Charles University, Prague, Czech Republic
| | - Dagmar Dzurova
- Department of Social Geography and Regional Development, Faculty of Science, Charles University, Prague, Czech Republic
| | - Hynek Pikhart
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Ruzena Kubinova
- Environmental and Population Health Monitoring Centre, National Institute of Public Health, Prague, Czech Republic
| | - Martin Bobak
- Department of Epidemiology and Public Health, University College London, London, UK
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TT, Muc M, Muiesan ML, Müller-Nurasyid M, Murphy N, Mursu J, Murtagh EM, Musil V, Nabipour I, Nagel G, Naidu BM, Nakamura H, Námešná J, Nang EEK, Nangia VB, Nankap M, Narake S, Nardone P, Navarrete-Muñoz EM, Neal WA, Nenko I, Neovius M, Nervi F, Nguyen CT, Nguyen ND, Nguyen QN, Nieto-Martínez RE, Ning G, Ninomiya T, Nishtar S, Noale M, Noboa OA, Norat T, Norie S, Noto D, Nsour MA, O'Reilly D, Obreja G, Oda E, Oehlers G, Oh K, Ohara K, Olafsson Ö, Olinto MTA, Oliveira IO, Oltarzewski M, Omar MA, Onat A, Ong SK, Ono LM, Ordunez P, Ornelas R, Ortiz AP, Osler M, Osmond C, Ostojic SM, Ostovar A, Otero JA, Overvad K, Owusu-Dabo E, Paccaud FM, Padez C, Pahomova E, Pajak A, Palli D, Palloni A, Palmieri L, Pan WH, Panda-Jonas S, Pandey A, Panza F, Papandreou D, Park SW, Parnell WR, Parsaeian M, Pascanu IM, Patel ND, Pecin I, Pednekar MS, Peer N, Peeters PH, Peixoto SV, Peltonen M, Pereira AC, Perez-Farinos N, Pérez CM, Peters A, Petkeviciene J, Petrauskiene A, Peykari N, Pham ST, Pierannunzio 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Sandjaja, Sans S, Marina LS, Santos DA, Santos IS, Santos O, dos Santos RN, Santos R, Saramies JL, Sardinha LB, Sarrafzadegan N, Saum KU, Savva S, Savy M, Scazufca M, Rosario AS, Schargrodsky H, Schienkiewitz A, Schipf S, Schmidt CO, Schmidt IM, Schultsz C, Schutte AE, Sein AA, Sen A, Senbanjo IO, Sepanlou SG, Serra-Majem L, Shalnova SA, Sharma SK, Shaw JE, Shibuya K, Shin DW, Shin Y, Shiri R, Siani A, Siantar R, Sibai AM, Silva AM, Silva DAS, Simon M, Simons J, Simons LA, Sjöberg A, Sjöström M, Skovbjerg S, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, Smith MC, Snijder MB, So HK, Sobngwi E, Söderberg S, Soekatri MYE, Solfrizzi V, Sonestedt E, Song Y, Sørensen TIA, Soric M, Jérome CS, Soumare A, Spinelli A, Spiroski I, Staessen JA, Stamm H, Starc G, Stathopoulou MG, Staub K, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stergiou GS, Stessman J, Stieber J, Stöckl D, Stocks T, Stokwiszewski J, Stratton G, Stronks K, Strufaldi MW, Suárez-Medina R, Sun CA, Sundström J, Sung YT, Sunyer J, Suriyawongpaisal P, Swinburn BA, Sy RG, Szponar L, Tai ES, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanser F, Tao Y, Tarawneh MR, Tarp J, Tarqui-Mamani CB, Tautu OF, Braunerová RT, Taylor A, Tchibindat F, Theobald H, Theodoridis X, Thijs L, Thuesen BH, Tjonneland A, Tolonen HK, Tolstrup JS, Topbas M, Topór-Madry R, Tormo MJ, Tornaritis MJ, Torrent M, Toselli S, Traissac P, Trichopoulos D, Trichopoulou A, Trinh OTH, Trivedi A, Tshepo L, Tsigga M, Tsugane S, Tulloch-Reid MK, Tullu F, Tuomainen TP, Tuomilehto J, Turley ML, Tynelius P, Tzotzas T, Tzourio C, Ueda P, Ugel EE, Ukoli FAM, Ulmer H, Unal B, Uusitalo HMT, Valdivia G, Vale S, Valvi D, van der Schouw YT, Van Herck K, Van Minh H, van Rossem L, Van Schoor NM, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Vatten L, Vega T, Veidebaum T, Velasquez-Melendez G, Velika B, Veronesi G, Verschuren WMM, Victora CG, Viegi G, Viet L, Viikari-Juntura E, Vineis P, Vioque J, Virtanen JK, Visvikis-Siest S, Viswanathan B, Vlasoff T, Vollenweider P, Völzke H, Voutilainen S, Vrijheid M, Wade AN, Wagner A, Waldhör T, Walton J, Bebakar WMW, Mohamud WNW, Wanderley RS, Wang MD, Wang Q, Wang YX, Wang YW, Wannamethee SG, Wareham N, Weber A, Wedderkopp N, Weerasekera D, Whincup PH, Widhalm K, Widyahening IS, Wiecek A, Wijga AH, Wilks RJ, Willeit J, Willeit P, Wilsgaard T, Wojtyniak B, Wong-McClure RA, Wong JYY, Wong JE, Wong TY, Woo J, Woodward M, Wu FC, Wu J, Wu S, Xu H, Xu L, Yamborisut U, Yan W, Yang X, Yardim N, Ye X, Yiallouros PK, Yngve A, Yoshihara A, You QS, Younger-Coleman NO, Yusoff F, Yusoff MFM, Zaccagni L, Zafiropulos V, Zainuddin AA, Zambon S, Zampelas A, Zamrazilová H, Zdrojewski T, Zeng Y, Zhao D, Zhao W, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zhussupov B, Zimmermann E, Cisneros JZ, Bentham J, Di Cesare M, Bilano V, Bixby H, Zhou B, Stevens GA, Riley LM, Taddei C, Hajifathalian K, Lu Y, Savin S, Cowan MJ, Paciorek CJ, Chirita-Emandi A, Hayes AJ, Katz J, Kelishadi R, Kengne AP, Khang YH, Laxmaiah A, Li Y, Ma J, Miranda JJ, Mostafa A, Neovius M, Padez C, Rampal L, Zhu A, Bennett JE, Danaei G, Bhutta ZA, Ezzati M. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults. Lancet 2017; 390:2627-2642. [PMID: 29029897 PMCID: PMC5735219 DOI: 10.1016/s0140-6736(17)32129-3] [Citation(s) in RCA: 3623] [Impact Index Per Article: 517.6] [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: 05/09/2017] [Revised: 07/12/2017] [Accepted: 07/19/2017] [Indexed: 02/07/2023]
Abstract
BACKGROUND Underweight, overweight, and obesity in childhood and adolescence are associated with adverse health consequences throughout the life-course. Our aim was to estimate worldwide trends in mean body-mass index (BMI) and a comprehensive set of BMI categories that cover underweight to obesity in children and adolescents, and to compare trends with those of adults. METHODS We pooled 2416 population-based studies with measurements of height and weight on 128·9 million participants aged 5 years and older, including 31·5 million aged 5-19 years. We used a Bayesian hierarchical model to estimate trends from 1975 to 2016 in 200 countries for mean BMI and for prevalence of BMI in the following categories for children and adolescents aged 5-19 years: more than 2 SD below the median of the WHO growth reference for children and adolescents (referred to as moderate and severe underweight hereafter), 2 SD to more than 1 SD below the median (mild underweight), 1 SD below the median to 1 SD above the median (healthy weight), more than 1 SD to 2 SD above the median (overweight but not obese), and more than 2 SD above the median (obesity). FINDINGS Regional change in age-standardised mean BMI in girls from 1975 to 2016 ranged from virtually no change (-0·01 kg/m2 per decade; 95% credible interval -0·42 to 0·39, posterior probability [PP] of the observed decrease being a true decrease=0·5098) in eastern Europe to an increase of 1·00 kg/m2 per decade (0·69-1·35, PP>0·9999) in central Latin America and an increase of 0·95 kg/m2 per decade (0·64-1·25, PP>0·9999) in Polynesia and Micronesia. The range for boys was from a non-significant increase of 0·09 kg/m2 per decade (-0·33 to 0·49, PP=0·6926) in eastern Europe to an increase of 0·77 kg/m2 per decade (0·50-1·06, PP>0·9999) in Polynesia and Micronesia. Trends in mean BMI have recently flattened in northwestern Europe and the high-income English-speaking and Asia-Pacific regions for both sexes, southwestern Europe for boys, and central and Andean Latin America for girls. By contrast, the rise in BMI has accelerated in east and south Asia for both sexes, and southeast Asia for boys. Global age-standardised prevalence of obesity increased from 0·7% (0·4-1·2) in 1975 to 5·6% (4·8-6·5) in 2016 in girls, and from 0·9% (0·5-1·3) in 1975 to 7·8% (6·7-9·1) in 2016 in boys; the prevalence of moderate and severe underweight decreased from 9·2% (6·0-12·9) in 1975 to 8·4% (6·8-10·1) in 2016 in girls and from 14·8% (10·4-19·5) in 1975 to 12·4% (10·3-14·5) in 2016 in boys. Prevalence of moderate and severe underweight was highest in India, at 22·7% (16·7-29·6) among girls and 30·7% (23·5-38·0) among boys. Prevalence of obesity was more than 30% in girls in Nauru, the Cook Islands, and Palau; and boys in the Cook Islands, Nauru, Palau, Niue, and American Samoa in 2016. Prevalence of obesity was about 20% or more in several countries in Polynesia and Micronesia, the Middle East and north Africa, the Caribbean, and the USA. In 2016, 75 (44-117) million girls and 117 (70-178) million boys worldwide were moderately or severely underweight. In the same year, 50 (24-89) million girls and 74 (39-125) million boys worldwide were obese. INTERPRETATION The rising trends in children's and adolescents' BMI have plateaued in many high-income countries, albeit at high levels, but have accelerated in parts of Asia, with trends no longer correlated with those of adults. FUNDING Wellcome Trust, AstraZeneca Young Health Programme.
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Tillmann T, Pikhart H, Peasey A, Kubinova R, Pajak A, Tamosiunas A, Malyutina S, Steptoe A, Kivimäki M, Marmot M, Bobak M. Psychosocial and socioeconomic determinants of cardiovascular mortality in Eastern Europe: A multicentre prospective cohort study. PLoS Med 2017; 14:e1002459. [PMID: 29211726 PMCID: PMC5718419 DOI: 10.1371/journal.pmed.1002459] [Citation(s) in RCA: 28] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Accepted: 10/23/2017] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Eastern European countries have some of the highest rates of cardiovascular disease (CVD) mortality, much of which cannot be adequately accounted for by conventional CVD risk factors. Psychosocial and socioeconomic factors may affect risk of CVD, but relatively few studies on this issue have been undertaken in Eastern Europe. We investigated whether various psychosocial factors are associated with CVD mortality independently from each other and whether they can help explain differences in CVD mortality between Eastern European populations. METHODS Participants were from the Health, Alcohol and Psychological factors in Eastern Europe (HAPIEE) cohort study in Russia, Poland and the Czech Republic, including a total of 20,867 men and women aged 43-74 years and free of CVD at baseline examination during 2002-2005. Participants were followed-up for CVD mortality after linkage to national mortality registries for a median of 7.2 years. RESULTS During the follow-up, 556 participants died from CVD. After mutual adjustment, six psychosocial and socioeconomic factors were associated with increased risk of CVD death: unemployment, low material amenities, depression, being single, infrequent contacts with friends or relatives. The hazard ratios [HRs] for these six factors ranged between 1.26 [95% confidence interval 1.14-1.40] and 1.81 [95% confidence interval 1.24-2.64], fully adjusted for each other, and conventional cardiovascular risk factors. Population-attributable fractions ranged from 8% [4%-13%] to 22% [11%-31%] for each factor, when measured on average across the three cohorts. However, the prevalence of psychosocial and socioeconomic risk factors and their HRs were similar between the three countries. Altogether, these factors could not explain why participants from Russia had higher CVD mortality when compared to participants from Poland/Czech Republic. Limitations of this study include measurement error that could lead to residual confounding; and the possibilities for reverse causation and/or unmeasured confounding from observational studies to lead to associations that are not causal in nature. CONCLUSIONS Six psychosocial and socioeconomic factors were associated with cardiovascular mortality, independent of each other. Differences in mortality between cohorts from Russia versus Poland or Check Republic remained unexplained.
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Affiliation(s)
- Taavi Tillmann
- Department of Epidemiology & Public Health, University College London, London, United Kingdom
- * E-mail:
| | - Hynek Pikhart
- Department of Epidemiology & Public Health, University College London, London, United Kingdom
| | - Anne Peasey
- Department of Epidemiology & Public Health, University College London, London, United Kingdom
| | - Ruzena Kubinova
- Centre for Environmental Health Monitoring, National Institute of Public Health, Prague, Czech Republic
| | - Andrzej Pajak
- Chair of Epidemiology and Population Studies, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University, Krakow, Poland
| | - Abdonas Tamosiunas
- Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Sofia Malyutina
- Research Institute of Internal and Preventive Medicine, Branch of the Institute of Cytology and Genetics, SB RAS, Novosibirsk, Russia
- Novosibirsk State Medical University, Novosibirsk, Russia
| | - Andrew Steptoe
- Department of Epidemiology & Public Health, University College London, London, United Kingdom
| | - Mika Kivimäki
- Department of Epidemiology & Public Health, University College London, London, United Kingdom
| | - Michael Marmot
- Department of Epidemiology & Public Health, University College London, London, United Kingdom
| | - Martin Bobak
- Department of Epidemiology & Public Health, University College London, London, United Kingdom
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Tillmann T, Vaucher J, Okbay A, Pikhart H, Peasey A, Kubinova R, Pajak A, Tamosiunas A, Malyutina S, Hartwig FP, Fischer K, Veronesi G, Palmer T, Bowden J, Davey Smith G, Bobak M, Holmes MV. Education and coronary heart disease: mendelian randomisation study. BMJ 2017; 358:j3542. [PMID: 28855160 PMCID: PMC5594424 DOI: 10.1136/bmj.j3542] [Citation(s) in RCA: 101] [Impact Index Per Article: 14.4] [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: 12/13/2022]
Abstract
Objective To determine whether educational attainment is a causal risk factor in the development of coronary heart disease.Design Mendelian randomisation study, using genetic data as proxies for education to minimise confounding.Setting The main analysis used genetic data from two large consortia (CARDIoGRAMplusC4D and SSGAC), comprising 112 studies from predominantly high income countries. Findings from mendelian randomisation analyses were then compared against results from traditional observational studies (164 170 participants). Finally, genetic data from six additional consortia were analysed to investigate whether longer education can causally alter the common cardiovascular risk factors.Participants The main analysis was of 543 733 men and women (from CARDIoGRAMplusC4D and SSGAC), predominantly of European origin.Exposure A one standard deviation increase in the genetic predisposition towards higher education (3.6 years of additional schooling), measured by 162 genetic variants that have been previously associated with education.Main outcome measure Combined fatal and non-fatal coronary heart disease (63 746 events in CARDIoGRAMplusC4D).Results Genetic predisposition towards 3.6 years of additional education was associated with a one third lower risk of coronary heart disease (odds ratio 0.67, 95% confidence interval 0.59 to 0.77; P=3×10-8). This was comparable to findings from traditional observational studies (prevalence odds ratio 0.73, 0.68 to 0.78; incidence odds ratio 0.80, 0.76 to 0.83). Sensitivity analyses were consistent with a causal interpretation in which major bias from genetic pleiotropy was unlikely, although this remains an untestable possibility. Genetic predisposition towards longer education was additionally associated with less smoking, lower body mass index, and a favourable blood lipid profile.Conclusions This mendelian randomisation study found support for the hypothesis that low education is a causal risk factor in the development of coronary heart disease. Potential mechanisms could include smoking, body mass index, and blood lipids. In conjunction with the results from studies with other designs, these findings suggest that increasing education may result in substantial health benefits.
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Affiliation(s)
- Taavi Tillmann
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Julien Vaucher
- Department of Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Aysu Okbay
- Department of Complex Trait Genetics, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Hynek Pikhart
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Anne Peasey
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Ruzena Kubinova
- Centre for Environmental Health Monitoring, National Institute of Public Health, Prague, Czech Republic
| | - Andrzej Pajak
- Chair of Epidemiology and Population Studies, Institute of Public Health, Faculrty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland
| | - Abdonas Tamosiunas
- Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Sofia Malyutina
- Research Institute of Internal and Preventive Medicine, Branch of the Institute of Cytology and Genetics, SB RAS, Novosibirsk, Russia
- Novosibirsk State Medical University, Novosibirsk, Russia
| | - Fernando Pires Hartwig
- Postgraduate Programme in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - Krista Fischer
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Giovanni Veronesi
- Research Center in Epidemiology and Preventive Medicine, University of Insubria, Varese, Italy
| | - Tom Palmer
- Department of Mathematics and Statistics, Lancaster University, Lancaster, UK
| | - Jack Bowden
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Martin Bobak
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Michael V Holmes
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, Big Data Institute, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospital, Oxford, UK
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Bamia C, Orfanos P, Juerges H, Schöttker B, Brenner H, Lorbeer R, Aadahl M, Matthews CE, Klinaki E, Katsoulis M, Lagiou P, Bueno-de-Mesquita HBA, Eriksson S, Mons U, Saum KU, Kubinova R, Pajak A, Tamosiunas A, Malyutina S, Gardiner J, Peasey A, de Groot LC, Wilsgaard T, Boffetta P, Trichopoulou A, Trichopoulos D. Self-rated health and all-cause and cause-specific mortality of older adults: Individual data meta-analysis of prospective cohort studies in the CHANCES Consortium. Maturitas 2017; 103:37-44. [PMID: 28778331 DOI: 10.1016/j.maturitas.2017.06.023] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [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: 11/03/2016] [Revised: 05/27/2017] [Accepted: 06/08/2017] [Indexed: 10/19/2022]
Abstract
OBJECTIVES To evaluate, among the elderly, the association of self-rated health (SRH) with mortality, and to identify determinants of self-rating health as "at-least-good". STUDY DESIGN Individual data on SRH and important covariates were obtained for 424,791 European and United States residents, ≥60 years at recruitment (1982-2008), in eight prospective studies in the Consortium on Health and Ageing: Network of Cohorts in Europe and the United States (CHANCES). In each study, adjusted mortality ratios (hazard ratios, HRs) in relation to SRH were calculated and subsequently combined with random-effect meta-analyses. MAIN OUTCOME MEASURES All-cause, cardiovascular and cancer mortality. RESULTS Within the median 12.5 years of follow-up, 93,014 (22%) deaths occurred. SRH "fair" or "poor" vs. "at-least-good" was associated with increased mortality: HRs 1.46 (95% CI 1·23-1.74) and 2.31 (1.79-2.99), respectively. These associations were evident: for cardiovascular and, to a lesser extent, cancer mortality, and within-study, within-subgroup analyses. Accounting for lifestyle, sociodemographic, somatometric factors and, subsequently, for medical history explained only a modest amount of the unadjusted associations. Factors favourably associated with SRH were: sex (males), age (younger-old), education (high), marital status (married/cohabiting), physical activity (active), body mass index (non-obese), alcohol consumption (low to moderate) and previous morbidity (absence). CONCLUSION SRH provides a quick and simple tool for assessing health and identifying groups of elders at risk of early mortality that may be useful also in clinical settings. Modifying determinants of favourably rating health, e.g. by increasing physical activity and/or by eliminating obesity, may be important for older adults to "feel healthy" and "be healthy".
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Affiliation(s)
- Christina Bamia
- National and Kapodistrian University of Athens, Medical School, Department of Hygiene, Epidemiology and Medical Statistics, WHO Collaborating Center for Nutrition and Health, 115 27 Athens, Greece; Hellenic Health Foundation, 115 27, Athens, Greece.
| | - Philippos Orfanos
- National and Kapodistrian University of Athens, Medical School, Department of Hygiene, Epidemiology and Medical Statistics, WHO Collaborating Center for Nutrition and Health, 115 27 Athens, Greece; Hellenic Health Foundation, 115 27, Athens, Greece
| | | | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany; Network Aging Research, Heidelberg University, 69115, Heidelberg, Germany
| | - Roberto Lorbeer
- Institute for Community Medicine, University Medicine, Ernst Moritz Arndt University Greifswald, 17475 Greifswald, Germany; Institute of Clinical Radiology, Ludwig-Maximilians-University Hospital, 80336 Munich, Germany
| | - Mette Aadahl
- Research Centre for Prevention and Health, Center for Health, The Capital Region of Denmark, 2600 Glostrup, Denmark
| | - Charles E Matthews
- National Cancer Institute, Division of Cancer Epidemiology and Genetics, Nutritional Epidemiology Branch, Bethesda, MD, 20892-9704, USA
| | | | | | - Pagona Lagiou
- National and Kapodistrian University of Athens, Medical School, Department of Hygiene, Epidemiology and Medical Statistics, WHO Collaborating Center for Nutrition and Health, 115 27 Athens, Greece; Hellenic Health Foundation, 115 27, Athens, Greece; Department of Epidmiology, Harvard School of Public Health, Boston, MA 02115, USA
| | - H B As Bueno-de-Mesquita
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), 3720 BA Bilthoven, The Netherlands; Department of Gastroenterology and Hepatology, University Medical Centre, 3508 GA Utrecht, The Netherlands; Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, W2 1 PG London, United Kingdom; Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Sture Eriksson
- Umeå University, Department of Geriatrics, SE 90185 Umeå, Sweden
| | - Ute Mons
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Kai-Uwe Saum
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Ruzena Kubinova
- National Institute of Public Health, Šrobarova 48, 10042 Prague 10, Czech Republic
| | - Andrzej Pajak
- Department of Epidemiology and Population Studies, Jagiellonian University Medical College, Faculty of Health Sciences, 31-137 Krakow, Poland
| | - Abdonas Tamosiunas
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukilėlių av. 17, Kaunas LT-50161, Lithuania
| | - Sofia Malyutina
- Institute of Internal and Preventive Medicine, 630089, Novosibirsk, Russia; Novosibirsk State Medical University, 630091, Novosibirsk, Russia
| | - Julian Gardiner
- Department of Epidemiology and Public Health, University College London, WC1E 6BT, UK
| | - Anne Peasey
- Department of Epidemiology and Public Health, University College London, WC1E 6BT, UK
| | - Lisette Cpgm de Groot
- Division of Human Nutrition, Wageningen University, P.O. Box 8129, NL-6700 EV Wageningen, The Netherlands
| | - Tom Wilsgaard
- Department of Community Medicine, UiT The Arctic University of Norway, 9037 Tromsø, Norway
| | - Paolo Boffetta
- Hellenic Health Foundation, 115 27, Athens, Greece; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Antonia Trichopoulou
- National and Kapodistrian University of Athens, Medical School, Department of Hygiene, Epidemiology and Medical Statistics, WHO Collaborating Center for Nutrition and Health, 115 27 Athens, Greece; Hellenic Health Foundation, 115 27, Athens, Greece
| | - Dimitrios Trichopoulos
- Hellenic Health Foundation, 115 27, Athens, Greece; Department of Epidmiology, Harvard School of Public Health, Boston, MA 02115, USA; Bureau of Epidemiologic Research, Academy of Athens, 115 27Athens, Greece
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Kozela M, Pająk A, Micek A, Besala A, Kubinova R, Malyutina S, Tamosiunas A, Pikhart H, Peasey A, Nikitin Y, Marmot M, Bobak M. Impact of perceived control on all-cause and cardiovascular disease mortality in three urban populations of Central and Eastern Europe: the HAPIEE study. J Epidemiol Community Health 2017; 71:771-778. [PMID: 28515210 PMCID: PMC5537505 DOI: 10.1136/jech-2017-208992] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Revised: 04/03/2017] [Accepted: 04/20/2017] [Indexed: 01/10/2023]
Abstract
Background Inverse associations between perceived control and cardiovascular disease (CVD) have been reported in studies from Western Europe and the USA. To assess this relationship across different populations, we investigated the association between perceived control and all-cause and CVD mortality in three population-based cohorts of Eastern European countries. Methods We analysed data from a prospective cohort study in random population samples in Krakow (Poland), Novosibirsk (Russia) and six Czech towns. Baseline survey included structured questionnaire and objective examination in a clinic. Perceived control was assessed using an 11-item scale developed by the MacArthur Foundation Programme on Successful Midlife. Information on vital status was obtained from death registers. Effect of perceived control on mortality was assessed using Cox proportional hazards models. Results A total of 2377 deaths (1003 from CVD) occurred among 27 249 participants over a median 7-year follow-up. In the Czech and Polish cohorts, perceived control was inversely associated with mortality; the adjusted HRs for the lowest versus highest control quintiles were 1.71 (1.34 to 2.19) in men and 1.63 (1.14 to 2.35) in women for all-cause mortality and 2.31 (1.48 to 3.59) and 5.50 (2.14 to 14.13) for CVD deaths. There was no association between perceived control and mortality in Russia; the adjusted HRs for all-cause mortality were 1.03 (0.79 to 1.34) in men and 1.29 (0.82 to 2.02) in women. Conclusions Low perceived control was associated with increased risk of all-cause and CVD mortality in Czech and Polish cohorts but not in Russia. It is possible that this inconsistency may partly reflect a different sociocultural understanding of the concept of control in Russia.
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Affiliation(s)
- Magdalena Kozela
- Chair of Epidemiology and Population Studies, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland
| | - Andrzej Pająk
- Chair of Epidemiology and Population Studies, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland
| | - Agnieszka Micek
- Chair of Epidemiology and Population Studies, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland
| | - Agnieszka Besala
- Chair of Epidemiology and Population Studies, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland
| | | | - Sofia Malyutina
- Institute of Internal and Preventive Medicine, Novosibirsk, Russia.,Novosibirsk State Medical University, Novosibirsk, Russia
| | - Abdonas Tamosiunas
- Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Hynek Pikhart
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Anne Peasey
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Yuri Nikitin
- Institute of Internal and Preventive Medicine, Novosibirsk, Russia
| | - Michael Marmot
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Martin Bobak
- Department of Epidemiology and Public Health, University College London, London, UK
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Katsoulis M, Benetou V, Karapetyan T, Feskanich D, Grodstein F, Pettersson-Kymmer U, Eriksson S, Wilsgaard T, Jørgensen L, Ahmed LA, Schöttker B, Brenner H, Bellavia A, Wolk A, Kubinova R, Stegeman B, Bobak M, Boffetta P, Trichopoulou A. Excess mortality after hip fracture in elderly persons from Europe and the USA: the CHANCES project. J Intern Med 2017; 281:300-310. [PMID: 28093824 DOI: 10.1111/joim.12586] [Citation(s) in RCA: 213] [Impact Index Per Article: 30.4] [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] [Indexed: 02/06/2023]
Abstract
BACKGROUND Hip fractures are associated with diminished quality of life and survival especially amongst the elderly. OBJECTIVE All-cause mortality after hip fracture was investigated to assess its magnitude. METHODS A total of 122 808 participants from eight cohorts in Europe and the USA were followed up for a mean of 12.6 years, accumulating 4273 incident hip fractures and 27 999 deaths. Incident hip fractures were assessed through telephone interviews/questionnaires or national inpatient/fracture registries, and causes of death were verified with death certificates. Cox proportional hazards models and the time-dependent variable methodology were used to assess the association between hip fracture and mortality and its magnitude at different time intervals after the injury in each cohort. We obtained the effect estimates through a random-effects meta-analysis. RESULTS Hip fracture was positively associated with increased all-cause mortality; the hazard ratio (HR) in the fully adjusted model was 2.12, 95% confidence interval (CI) 1.76-2.57, after adjusting for potential confounders. This association was stronger amongst men [HR: 2.39, 95% CI: 1.72-3.31] than amongst women [HR: 1.92, 95% CI: 1.54-2.39], although this difference was not significant. Mortality was higher during the first year after the hip fracture [HR: 2.78, 95% CI: 2.12-3.64], but it remained elevated without major fluctuations after longer time since hip fracture [HR (95% CI): 1.89 (1.50-2.37) after 1-4 years; 2.15 (1.81-2.55) after 4-8 years; 1.79 (1.57-2.05) after 8 or more years]. CONCLUSION In this large population-based sample of older persons across eight cohorts, hip fracture was associated with excess short- and long-term all-cause mortality in both sexes.
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Affiliation(s)
| | - V Benetou
- School of Medicine, Department of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, Athens, Greece
| | | | - D Feskanich
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - F Grodstein
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - U Pettersson-Kymmer
- Department of Pharmacology and Clinical Neurosciences and Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - S Eriksson
- Faculty of Medicine, Department of Community Medicine and Rehabilitation, Geriatric Medicine, Umeå University, Umeå, Sweden
| | - T Wilsgaard
- Department of Community Medicine, UIT The Arctic University of Norway, Tromsø, Norway
| | - L Jørgensen
- Department of Health and Care Sciences, UIT The Arctic University of Norway, Tromsø, Norway
| | - L A Ahmed
- Department of Health and Care Sciences, UIT The Arctic University of Norway, Tromsø, Norway.,Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, UAE
| | - B Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - H Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - A Bellavia
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - A Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - R Kubinova
- National Institute of Public Health, Prague, Czech Republic
| | - B Stegeman
- Department of Epidemiology and Public Health, University College London, London, UK
| | - M Bobak
- Department of Epidemiology and Public Health, University College London, London, UK
| | - P Boffetta
- Hellenic Health Foundation, Athens, Greece.,Institute for Translational Epidemiology and Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Stefler D, Malyutina S, Kubinova R, Pajak A, Peasey A, Pikhart H, Brunner EJ, Bobak M. Mediterranean diet score and total and cardiovascular mortality in Eastern Europe: the HAPIEE study. Eur J Nutr 2017; 56:421-429. [PMID: 26578528 PMCID: PMC5290049 DOI: 10.1007/s00394-015-1092-x] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [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: 07/27/2015] [Accepted: 10/26/2015] [Indexed: 12/02/2022]
Abstract
PURPOSE Mediterranean-type dietary pattern has been associated with lower risk of cardiovascular (CVD) and other chronic diseases, primarily in Southern European populations. We examined whether Mediterranean diet score (MDS) is associated with total, CVD, coronary heart disease (CHD) and stroke mortality in a prospective cohort study in three Eastern European populations. METHODS A total of 19,333 male and female participants of the Health Alcohol and Psychosocial factors in Eastern Europe (HAPIEE) study in the Czech Republic, Poland and the Russian Federation were included in the analysis. Diet was assessed by food frequency questionnaire, and MDS was derived from consumption of nine groups of food using absolute cut-offs. Mortality was ascertained by linkage with death registers. RESULTS Over the median follow-up time of 7 years, 1314 participants died. The proportion of participants with high adherence to Mediterranean diet was low (25 %). One standard deviation (SD) increase in the MDS (equivalent to 2.2 point increase in the score) was found to be inversely associated with death from all causes (HR, 95 % CI 0.93, 0.88-0.98) and CVD (0.90, 0.81-0.99) even after multivariable adjustment. Inverse but statistically not significant link was found for CHD (0.90, 0.78-1.03) and stroke (0.87, 0.71-1.07). The MDS effects were similar in each country cohort. CONCLUSION Higher adherence to the Mediterranean diet was associated with reduced risk of total and CVD deaths in these large Eastern European urban populations. The application of MDS with absolute cut-offs appears suitable for non-Mediterranean populations.
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Affiliation(s)
- Denes Stefler
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, WC1E 6BT, London, UK.
| | - Sofia Malyutina
- Institute of Internal and Preventive Medicine, Siberian Branch of the Russian Academy of Medical Sciences, Novosibirsk State Medical University, B. Bogatkova 175/1, Novosibirsk, Russia, 630089
| | - Ruzena Kubinova
- National Institute of Public Health, Šrobárova 48, 100 42, Prague, Czech Republic
| | - Andrzej Pajak
- Department of Epidemiology and Population Sciences, Jagiellonian University, Grzegorzcka 20, 31-531, Kraków, Poland
| | - Anne Peasey
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, WC1E 6BT, London, UK
| | - Hynek Pikhart
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, WC1E 6BT, London, UK
| | - Eric J Brunner
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, WC1E 6BT, London, UK
| | - Martin Bobak
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, WC1E 6BT, London, UK
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Schmidt AF, Swerdlow DI, Holmes MV, Patel RS, Fairhurst-Hunter Z, Lyall DM, Hartwig FP, Horta BL, Hyppönen E, Power C, Moldovan M, van Iperen E, Hovingh GK, Demuth I, Norman K, Steinhagen-Thiessen E, Demuth J, Bertram L, Liu T, Coassin S, Willeit J, Kiechl S, Willeit K, Mason D, Wright J, Morris R, Wanamethee G, Whincup P, Ben-Shlomo Y, McLachlan S, Price JF, Kivimaki M, Welch C, Sanchez-Galvez A, Marques-Vidal P, Nicolaides A, Panayiotou AG, Onland-Moret NC, van der Schouw YT, Matullo G, Fiorito G, Guarrera S, Sacerdote C, Wareham NJ, Langenberg C, Scott R, Luan J, Bobak M, Malyutina S, Pająk A, Kubinova R, Tamosiunas A, Pikhart H, Husemoen LLN, Grarup N, Pedersen O, Hansen T, Linneberg A, Simonsen KS, Cooper J, Humphries SE, Brilliant M, Kitchner T, Hakonarson H, Carrell DS, McCarty CA, Kirchner HL, Larson EB, Crosslin DR, de Andrade M, Roden DM, Denny JC, Carty C, Hancock S, Attia J, Holliday E, O'Donnell M, Yusuf S, Chong M, Pare G, van der Harst P, Said MA, Eppinga RN, Verweij N, Snieder H, Christen T, Mook-Kanamori DO, Gustafsson S, Lind L, Ingelsson E, Pazoki R, Franco O, Hofman A, Uitterlinden A, Dehghan A, Teumer A, Baumeister S, Dörr M, Lerch MM, Völker U, Völzke H, Ward J, Pell JP, Smith DJ, Meade T, Maitland-van der Zee AH, Baranova EV, Young R, Ford I, Campbell A, Padmanabhan S, Bots ML, Grobbee DE, Froguel P, Thuillier D, Balkau B, Bonnefond A, Cariou B, Smart M, Bao Y, Kumari M, Mahajan A, Ridker PM, Chasman DI, Reiner AP, Lange LA, Ritchie MD, Asselbergs FW, Casas JP, Keating BJ, Preiss D, Hingorani AD, Sattar N. PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study. Lancet Diabetes Endocrinol 2017; 5:97-105. [PMID: 27908689 PMCID: PMC5266795 DOI: 10.1016/s2213-8587(16)30396-5] [Citation(s) in RCA: 263] [Impact Index Per Article: 37.6] [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: 10/13/2016] [Revised: 11/17/2016] [Accepted: 11/17/2016] [Indexed: 12/30/2022]
Abstract
BACKGROUND Statin treatment and variants in the gene encoding HMG-CoA reductase are associated with reductions in both the concentration of LDL cholesterol and the risk of coronary heart disease, but also with modest hyperglycaemia, increased bodyweight, and modestly increased risk of type 2 diabetes, which in no way offsets their substantial benefits. We sought to investigate the associations of LDL cholesterol-lowering PCSK9 variants with type 2 diabetes and related biomarkers to gauge the likely effects of PCSK9 inhibitors on diabetes risk. METHODS In this mendelian randomisation study, we used data from cohort studies, randomised controlled trials, case control studies, and genetic consortia to estimate associations of PCSK9 genetic variants with LDL cholesterol, fasting blood glucose, HbA1c, fasting insulin, bodyweight, waist-to-hip ratio, BMI, and risk of type 2 diabetes, using a standardised analysis plan, meta-analyses, and weighted gene-centric scores. FINDINGS Data were available for more than 550 000 individuals and 51 623 cases of type 2 diabetes. Combined analyses of four independent PCSK9 variants (rs11583680, rs11591147, rs2479409, and rs11206510) scaled to 1 mmol/L lower LDL cholesterol showed associations with increased fasting glucose (0·09 mmol/L, 95% CI 0·02 to 0·15), bodyweight (1·03 kg, 0·24 to 1·82), waist-to-hip ratio (0·006, 0·003 to 0·010), and an odds ratio for type diabetes of 1·29 (1·11 to 1·50). Based on the collected data, we did not identify associations with HbA1c (0·03%, -0·01 to 0·08), fasting insulin (0·00%, -0·06 to 0·07), and BMI (0·11 kg/m2, -0·09 to 0·30). INTERPRETATION PCSK9 variants associated with lower LDL cholesterol were also associated with circulating higher fasting glucose concentration, bodyweight, and waist-to-hip ratio, and an increased risk of type 2 diabetes. In trials of PCSK9 inhibitor drugs, investigators should carefully assess these safety outcomes and quantify the risks and benefits of PCSK9 inhibitor treatment, as was previously done for statins. FUNDING British Heart Foundation, and University College London Hospitals NHS Foundation Trust (UCLH) National Institute for Health Research (NIHR) Biomedical Research Centre.
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Affiliation(s)
- Amand F Schmidt
- Institute of Cardiovascular Science, University College London, UK; Farr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, UK.
| | - Daniel I Swerdlow
- Institute of Cardiovascular Science, University College London, UK; Department of Medicine, Imperial College London, London, UK
| | - Michael V Holmes
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Medical Research Council Population Health Research Unit at the University of Oxford, University of Oxford, Oxford, UK
| | - Riyaz S Patel
- Institute of Cardiovascular Science, University College London, UK; Farr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, UK; The Barts Heart Centre, St Bartholomew's Hospital, London, UK
| | | | - Donald M Lyall
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, UK
| | | | - Bernardo Lessa Horta
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Elina Hyppönen
- Centre for Population Health Research, Sansom Institute for Health Research, University of South Australia, Adelaide, SA, Australia; Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, London, UK; South Australian Health and Medical Research Institute, Adelaide, SA, Australia
| | - Christine Power
- Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Max Moldovan
- School of Health Sciences, University of South Australia, Adelaide, SA, Australia; South Australian Health and Medical Research Institute-EMBL Australia, Adelaide, SA, Australia
| | - Erik van Iperen
- Durrer Center for Cardiovascular Research, Netherlands Heart Institute, Utrecht, Netherlands; Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center Amsterdam, Netherlands
| | - G Kees Hovingh
- Department of Vascular Medicine, Academic Medical Center Amsterdam, Netherlands
| | - Ilja Demuth
- Charité Research Group on Geriatrics, Charité-Universitätsmedizin Berlin, Berlin, Germany; Institute of Medical and Human Genetics, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Kristina Norman
- Charité Research Group on Geriatrics, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | | | | | - Lars Bertram
- Neuroepidemiology and Ageing Research Unit, Imperial College London, London, UK; Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), Institutes of Neurogenetics and Integrative and Experimental Genomics, University of Lübeck, Lübeck, Germany
| | - Tian Liu
- Max Planck Institute for Human Development, Berlin, Germany; Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Stefan Coassin
- Division of Genetic Epidemiology Innsbruck, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Johann Willeit
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Stefan Kiechl
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Karin Willeit
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Dan Mason
- Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK
| | - John Wright
- Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK
| | - Richard Morris
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Goya Wanamethee
- Department of Primary Care & Population Health, University College London, UK
| | - Peter Whincup
- Population Health Research Institute, St George's, University of London, London, UK
| | - Yoav Ben-Shlomo
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Stela McLachlan
- Centre for Population Health Sciences, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Jackie F Price
- Centre for Population Health Sciences, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, UK
| | - Catherine Welch
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, UK
| | - Adelaida Sanchez-Galvez
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, UK
| | - Pedro Marques-Vidal
- Internal Medicine Unit, Department of Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Andrew Nicolaides
- Department of Vascular Surgery, Imperial College London, London, UK; Department of Surgery, Nicosia Medical School, University of Nicosia, Nicosia, Cyprus
| | - Andrie G Panayiotou
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Giuseppe Matullo
- Human Genetics Foundation, HuGeF, Turin, Italy; Department of Medical Sciences, University of Turin, Turin, Italy
| | - Giovanni Fiorito
- Human Genetics Foundation, HuGeF, Turin, Italy; Department of Medical Sciences, University of Turin, Turin, Italy
| | - Simonetta Guarrera
- Human Genetics Foundation, HuGeF, Turin, Italy; Department of Medical Sciences, University of Turin, Turin, Italy
| | - Carlotta Sacerdote
- Cancer Epidemiology Unit, San Giovanni Battista Hospital, Turin, Italy; Centre for Oncology Prevention, CPO Piemonte, Turin, Italy
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Robert Scott
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Martin Bobak
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, UK
| | - Sofia Malyutina
- Novosibirsk State Medical University, Novosibirsk, Russia; Institute of Internal and Preventive Medicine, Siberian Branch of the Russian Academy of Medical Sciences, Novosibirsk, Russia
| | - Andrzej Pająk
- Jagiellonian University Collegium Medicum, Krakow, Poland
| | | | | | - Hynek Pikhart
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, UK
| | | | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Allan Linneberg
- Research Centre for Prevention and Health, Capital Region of Denmark, Denmark; Department of Clinical Experimental Research, Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Jackie Cooper
- Centre for Cardiovascular Genetics, University College London, UK
| | | | - Murray Brilliant
- Center for Human Genetics, Marshfield Clinic Research Foundation, Marshfield, WI, USA
| | - Terrie Kitchner
- Center for Human Genetics, Marshfield Clinic Research Foundation, Marshfield, WI, USA
| | | | | | | | | | | | | | - Mariza de Andrade
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Dan M Roden
- Departments of Medicine and Pharmacology, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Joshua C Denny
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Cara Carty
- George Washington University, Washington, DC, USA
| | | | - John Attia
- University of Newcastle, Newcastle, NSW, Australia
| | | | | | - Salim Yusuf
- Population Health Research Institute, Hamilton, ON, Canada
| | - Michael Chong
- Population Health Research Institute, Hamilton, ON, Canada
| | - Guillaume Pare
- Population Health Research Institute, Hamilton, ON, Canada
| | - Pim van der Harst
- Durrer Center for Cardiovascular Research, Netherlands Heart Institute, Utrecht, Netherlands; Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands; Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - M Abdullah Said
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Ruben N Eppinga
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Niek Verweij
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Harold Snieder
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Tim Christen
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, Netherlands
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, Netherlands
| | - Stefan Gustafsson
- Molecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Lars Lind
- Molecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Erik Ingelsson
- Molecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden; Science for Life Laboratory, Department of Medical Sciences, Uppsala University, Uppsala, Sweden; Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Raha Pazoki
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Oscar Franco
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Andre Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Abbas Dehghan
- Faculty of Medicine, and Department of Biostatistics and Epidemiology, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), Greifswald, Germany
| | - Sebastian Baumeister
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany; Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Marcus Dörr
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), Greifswald, Germany
| | - Markus M Lerch
- Department of Medicine A, University Medicine Greifswald, Greifswald, Germany
| | - Uwe Völker
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), Greifswald, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), Greifswald, Germany
| | - Joey Ward
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, UK
| | - Jill P Pell
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, UK
| | - Daniel J Smith
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, UK
| | - Tom Meade
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Anke H Maitland-van der Zee
- Department of Respiratory Medicine, Academic Medical Center Amsterdam, Netherlands; Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute of Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, Netherlands
| | - Ekaterina V Baranova
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute of Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, Netherlands
| | - Robin Young
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Archie Campbell
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Sandosh Padmanabhan
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Michiel L Bots
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Diederick E Grobbee
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Philippe Froguel
- Department of Genomics of Common Disease, Imperial College London, London, UK; CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille, France
| | - Dorothée Thuillier
- CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille, France
| | - Beverley Balkau
- Renal and Cardiovascular Epidemiology, Centre de Recherche en Epidémiologie et Santé des Populations (CESP), INSERM U1018, Villejuif, France
| | - Amélie Bonnefond
- Department of Genomics of Common Disease, Imperial College London, London, UK; CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille, France
| | - Bertrand Cariou
- I'institut du Thorax, INSERM, CNRS, University of Nantes, CHU de Nantes, Nantes, France
| | - Melissa Smart
- Institute for Social and Economic Research, University of Essex, Colchester, Essex, UK
| | - Yanchun Bao
- Institute for Social and Economic Research, University of Essex, Colchester, Essex, UK
| | - Meena Kumari
- Institute for Social and Economic Research, University of Essex, Colchester, Essex, UK
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Paul M Ridker
- Harvard Medical School Center for Cardiovascular Disease Prevention, Brigham and Women's Hospital, Boston, MA, USA
| | - Daniel I Chasman
- Harvard Medical School Center for Cardiovascular Disease Prevention, Brigham and Women's Hospital, Boston, MA, USA
| | - Alex P Reiner
- Department of Epidemiology, Fred Hutchinson Cancer Research Center, University of Washington, Seattle, WA, USA
| | - Leslie A Lange
- Anschutz Medical Campus, University of Colorado Denver, Denver, CO, USA
| | - Marylyn D Ritchie
- Biomedical and Translational Informatics, Geisinger Health System, Danville, PA, USA; Department of Biochemistry and Molecular Biology, Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, USA
| | - Folkert W Asselbergs
- Institute of Cardiovascular Science, University College London, UK; Farr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, UK; Durrer Center for Cardiovascular Research, Netherlands Heart Institute, Utrecht, Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands; Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Utrecht, Netherlands
| | - Juan-Pablo Casas
- Farr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, UK
| | - Brendan J Keating
- Department of Surgery, University of Pennsylvania, Philadelphia, PA, USA
| | - David Preiss
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Medical Research Council Population Health Research Unit at the University of Oxford, University of Oxford, Oxford, UK
| | - Aroon D Hingorani
- Institute of Cardiovascular Science, University College London, UK; Farr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, UK
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
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Tillmann T, Pikhart H, Peasey A, Kubinova R, Pajak A, Tamosiunas A, Malyutina S, Steptoe A, Kivimäki M, Marmot M, Bobak M. 6 psychosocial and socioeconomic factors independently predict CVD, but not health inequalities. Eur J Public Health 2016. [DOI: 10.1093/eurpub/ckw169.081] [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: 11/12/2022] Open
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Pikhart H, Chen SW, Kubinova R, Malyutina S, Pajak A, Bobak M, Peasey A. Work stress, perceived control and alcohol consumption in Poland, Czechia and Russia: the HAPIEE study. Eur J Public Health 2016. [DOI: 10.1093/eurpub/ckw172.040] [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: 11/13/2022] Open
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Bobak M, Horvat P, Malyutina S, Kubinova R, Tamosiunas A, Pajak A. Socioeconomic gradient in cardiovascular mortality in Eastern Europe and its possible explanations. Eur J Public Health 2016. [DOI: 10.1093/eurpub/ckw172.050] [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: 11/14/2022] Open
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Horvat P, Kubinova R, Pajak A, Tamosiunas A, Schöttker B, Pikhart H, Peasey A, Kozela M, Jansen E, Singh-Manoux A, Bobak M. Blood-Based Oxidative Stress Markers and Cognitive Performance in Early Old Age: The HAPIEE Study. Dement Geriatr Cogn Disord 2016; 42:297-309. [PMID: 27802435 PMCID: PMC5121567 DOI: 10.1159/000450702] [Citation(s) in RCA: 12] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/09/2016] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND/AIMS Oxidative stress is involved in Alzheimer disease pathology, but its impact on cognitive function in community-dwelling older adults remains unknown. We estimated associations between serum oxidative stress markers and cognitive function in early old age. METHODS Subjects aged 45-69 years recruited in urban centers in Central and Eastern Europe had memory, verbal fluency, and processing speed assessed at baseline (2002-2005) and 3 years later. Derivatives of reactive oxygen metabolites (d-ROMs), biological antioxidant potential (BAP), and total thiol levels (TTLs) were measured at baseline in a subsample. Linear regression was used to estimate associations of biomarkers with cognitive test scores cross-sectionally (n = 4,304) and prospectively (n = 2,882). RESULTS Increased d-ROM levels were inversely associated with global cognition and verbal fluency cross-sectionally and in prospective analysis; observed effects corresponded to 3-4 years' higher age. TTL was inconsistently associated with memory. BAP was not related to cognitive function. CONCLUSION This study found modest evidence for a relationship between serum d-ROMs and cognitive function in a population sample of older adults.
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Affiliation(s)
- Pia Horvat
- Department of Epidemiology and Public Health, University College London, London, UK,*Pia Horvat, Department of Epidemiology and Public Health, University College London, Gower Street Campus, 1-19 Torrington Place, London WC1E 7HB (UK), E-Mail
| | | | - Andrzej Pajak
- Department of Epidemiology and Population Studies, Jagellonian University Collegium Medicum, Krakow, Poland
| | - Abdonas Tamosiunas
- Department of Population Studies, Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany,Network Aging Research, University of Heidelberg, Heidelberg, Germany
| | - Hynek Pikhart
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Anne Peasey
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Magdalena Kozela
- Department of Epidemiology and Population Studies, Jagellonian University Collegium Medicum, Krakow, Poland
| | - Eugene Jansen
- Center for Health Protection, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Archana Singh-Manoux
- Department of Epidemiology and Public Health, University College London, London, UK,INSERM U 1018, Villejuif, France
| | - Martin Bobak
- Department of Epidemiology and Public Health, University College London, London, UK
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Hubacek JA, Pikhart H, Kubinova R, Peasey A, Malyutina S, Pajak A, Tamosiunas A, Bobak M. Lack of Association between NYD-SP18 Variant and Obesity. The Health Alcohol and Psychosocial Factors in Eastern Europe Study. Ann Nutr Metab 2016; 68:244-8. [PMID: 27237450 PMCID: PMC5022760 DOI: 10.1159/000445982] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Accepted: 03/30/2016] [Indexed: 12/13/2022]
Abstract
Aim To replicate the finding that the polymorphism rs6971091 within the NYD-SP18 gene is associated with body mass index (BMI). Method We analysed data of 29,284 adults (46.2% of males, mean age 58.9 (SD 7.3), mean BMI 28.6 (5.0 kg/m2)) examined within the Health Alcohol and Psychosocial Factors in Eastern Europe study in the Czech Republic, Poland, Lithuania and Russia. Results BMI did not differ by rs6971091 genotype. In men, the mean BMI (SEs) in GG, GA and AA carriers were 27.8 (0.05), 27.9 (0.06) and 27.9 (0.14) kg/m2, respectively, (p = 0.26); in women, the corresponding values were 29.2 (0.06), 29.1 (0.07) and 29.1 (0.16), p = 0.57. In Czech subjects (n = 6,752), for whom the FTO rs17817449 genotype was available, there was no interaction between the NYD-SP18 and FTO polymorphisms in determination of BMI. Adjustment for age, energy and fat intake and physical activity did not materially change the results. There was no association of the NYD-SP18 genotype with waist-hip ratio. Conclusion This study in a large Slavonic population sample suggests that the rs6971091 variant within the NYD-SP18 gene is not an important determinant of obesity in middle-aged persons.
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Affiliation(s)
- Jaroslav A Hubacek
- Center for Experimental Medicine, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
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Kozela M, Bobak M, Besala A, Micek A, Kubinova R, Malyutina S, Denisova D, Richards M, Pikhart H, Peasey A, Marmot M, Pająk A. The association of depressive symptoms with cardiovascular and all-cause mortality in Central and Eastern Europe: Prospective results of the HAPIEE study. Eur J Prev Cardiol 2016; 23:1839-1847. [PMID: 27154591 PMCID: PMC5089224 DOI: 10.1177/2047487316649493] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [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: 01/12/2016] [Accepted: 04/22/2016] [Indexed: 11/16/2022]
Abstract
Background Studies in western populations have shown a positive association between depression and cardiovascular disease (CVD) and all-cause mortality. The association with depressive symptoms seems to be graded, rather than limited to the presence versus the absence of depression. Evidence from populations with potentially different patterns of confounders helps to address the consistency of these findings. The objective of the study was to investigate the association between depressive symptoms and all-cause and CVD mortality in populations of Central and Eastern Europe. Study design This was a prospective cohort study. Methods A total of 24,542 participants aged 45–69 years, randomly selected from populations of Novosibirsk (Russia), Krakow (Poland) and six Czech towns, were included. Depressive symptoms, assessed by the 20-item Center for Epidemiologic Studies Depression (CES-D) scale, were used as both continuous and categorical variables. Data on deaths were obtained from local or national death registers. Associations between depression and mortality were assessed using Cox proportional hazards models. Results Over a median of 7 years, 2091 deaths from all causes and 850 CVD deaths occurred in the cohorts. There was a graded association between CES-D score and mortality; the hazard ratio (HR) of CVD mortality for a 1 SD increase in CES-D was 1.20 (95% confidence interval (CI): 1.16–1.24) in men and 1.23 (95% CI: 1.12–1.35) in women; for all-cause mortality, the HRs were 1.13 (95% CI: 1.09–1.18) and 1.17 (95% CI: 1.10–1.25), respectively. The results were similar across countries. Conclusions Depressive symptoms predicted CVD and all-cause mortality independently of a wide range of potential confounders. The association followed a gradient and increased mortality risks were associated with scores below the cut-offs that are commonly used to define ‘depression’.
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Affiliation(s)
- Magdalena Kozela
- Department of Epidemiology and Population Studies, Jagiellonian University Medical College, Krakow, Poland
| | - Martin Bobak
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Agnieszka Besala
- Department of Epidemiology and Population Studies, Jagiellonian University Medical College, Krakow, Poland
| | - Agnieszka Micek
- Department of Epidemiology and Population Studies, Jagiellonian University Medical College, Krakow, Poland
| | | | - Sofia Malyutina
- Institute of Internal and Preventive Medicine, Novosibirsk, Russia.,Novosibirsk State Medical University, Novosibirsk, Russia
| | - Diana Denisova
- Institute of Internal and Preventive Medicine, Novosibirsk, Russia
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Hynek Pikhart
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Anne Peasey
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Michael Marmot
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Andrzej Pająk
- Department of Epidemiology and Population Studies, Jagiellonian University Medical College, Krakow, Poland
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Horvat P, Gardiner J, Kubinova R, Pajak A, Tamosiunas A, Schöttker B, Pikhart H, Peasey A, Jansen E, Bobak M. Serum folate, vitamin B-12 and cognitive function in middle and older age: The HAPIEE study. Exp Gerontol 2016; 76:33-8. [PMID: 26808046 PMCID: PMC4839985 DOI: 10.1016/j.exger.2016.01.011] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2015] [Revised: 01/20/2016] [Accepted: 01/21/2016] [Indexed: 12/22/2022]
Abstract
Background Nutrient status of B vitamins, particularly folate and vitamin B-12, may be related to cognitive ageing but epidemiological evidence remains inconclusive. Objective The aim of this study was to estimate the association of serum folate and vitamin B-12 concentrations with cognitive function in middle-aged and older adults from three Central and Eastern European populations. Methods Men and women aged 45–69 at baseline participating in the Health, Alcohol and Psychosocial factors in Eastern Europe (HAPIEE) study were recruited in Krakow (Poland), Kaunas (Lithuania) and six urban centres in the Czech Republic. Tests of immediate and delayed recall, verbal fluency and letter search were administered at baseline and repeated in 2006–2008. Serum concentrations of biomarkers at baseline were measured in a sub-sample of participants. Associations of vitamin quartiles with baseline (n = 4166) and follow-up (n = 2739) cognitive domain-specific z-scores were estimated using multiple linear regression. Results After adjusting for confounders, folate was positively associated with letter search and vitamin B-12 with word recall in cross-sectional analyses. In prospective analyses, participants in the highest quartile of folate had higher verbal fluency (p < 0.01) and immediate recall (p < 0.05) scores compared to those in the bottom quartile. In addition, participants in the highest quartile of vitamin B-12 had significantly higher verbal fluency scores (β = 0.12; 95% CI = 0.02, 0.21). Conclusions Folate and vitamin B-12 were positively associated with performance in some but not all cognitive domains in older Central and Eastern Europeans. These findings do not lend unequivocal support to potential importance of folate and vitamin B-12 status for cognitive function in older age. Long-term longitudinal studies and randomised trials are required before drawing conclusions on the role of these vitamins in cognitive decline. Epidemiological evidence linking B vitamins to cognitive ageing is inconclusive. Serum folate, vitamin B-12 and cognition were studied in older Eastern Europeans. Both vitamins were positively associated with 3-year verbal fluency. Folate and vitamin B-12 may be related to performance in some cognitive domains. More research is needed to clarify the causal relevance of B vitamins to cognition.
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Affiliation(s)
- Pia Horvat
- Department of Epidemiology & Public Health, UCL, 1-19 Torrington Place, London WC1E 7HB, UK.
| | - Julian Gardiner
- Department of Education, University of Oxford, 15 Norham Gardens, Oxford OX2 6PY, UK
| | - Ruzena Kubinova
- National Institute of Public Health, Srobarova 48, 10042 Prague, Czech Republic
| | - Andrzej Pajak
- Department of Epidemiology and Population Studies, Jagellonian University Collegium Medicum, Grzegorzecka 20, 31-531 Krakow, Poland
| | - Abdonas Tamosiunas
- Department of Population Studies, Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas LT-50161, Lithuania
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120 Heidelberg, Germany
| | - Hynek Pikhart
- Department of Epidemiology & Public Health, UCL, 1-19 Torrington Place, London WC1E 7HB, UK
| | - Anne Peasey
- Department of Epidemiology & Public Health, UCL, 1-19 Torrington Place, London WC1E 7HB, UK
| | - Eugene Jansen
- Center for Health Protection, National Institute for Public Health and the Environment, PO Box 1, 3720 BA, Bilthoven, The Netherlands
| | - Martin Bobak
- Department of Epidemiology & Public Health, UCL, 1-19 Torrington Place, London WC1E 7HB, UK
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Hu Y, Pikhart H, Kubinova R, Malyutina S, Pajak A, Besala A, Bell S, Peasey A, Marmot M, Bobak M. Alcohol Consumption and Longitudinal Trajectories of Physical Functioning in Central and Eastern Europe: A 10-Year Follow-up of HAPIEE Study. J Gerontol A Biol Sci Med Sci 2016; 71:1063-8. [PMID: 26748094 PMCID: PMC4945885 DOI: 10.1093/gerona/glv233] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2015] [Accepted: 12/11/2015] [Indexed: 01/08/2023] Open
Abstract
Background: Physical functioning (PF) is an essential domain of older persons’ health and quality of life. Health behaviors are the main modifiable determinants of PF. Cross-sectionally, alcohol consumption appears to be linked to better PF, but longitudinal evidence is mixed and very little is known about alcohol consumption and longitudinal PF trajectories. Methods: We conducted longitudinal analyses of 28,783 men and women aged 45–69 years from Novosibirsk (Russia), Krakow (Poland), and seven towns of the Czech Republic. At baseline, alcohol consumption was measured by a graduated frequency questionnaire and problem drinking was evaluated using the CAGE questionnaire. PF was assessed using the Physical Functioning Subscale of the SF-36 instrument at baseline and three subsequent occasions. Growth curve modeling was used to estimate the associations between alcohol consumption and PF trajectories over 10-year follow-up. Results: PF scores declined during follow-up in all three cohorts. Faster decline in PF over time was found in Russian female frequent drinkers, Polish female moderate drinkers, and Polish male regular heavy drinkers, in comparison with regular and/or light-to-moderate drinkers. Nondrinking was associated with a faster decline compared with light drinking only in Russian men. Problem drinking and past drinking were not related to the decline rate of PF. Conclusions: This large longitudinal study in Central and Eastern European populations with relatively high alcohol intake does not strongly support the existence of a protective effect of alcohol on PF trajectories; if anything, it suggests that alcohol consumption is associated with greater deterioration in PF over time.
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Affiliation(s)
- Yaoyue Hu
- Research Department of Epidemiology and Public Health, University College London.
| | - Hynek Pikhart
- Research Department of Epidemiology and Public Health, University College London
| | | | - Sofia Malyutina
- Institute of Internal and Preventive Medicine, Novosibirsk, Russia. Novosibirsk State Medical University, Russia
| | - Andrzej Pajak
- Department of Epidemiology and Population Studies, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland
| | - Agnieszka Besala
- Department of Epidemiology and Population Studies, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland
| | - Steven Bell
- Research Department of Epidemiology and Public Health, University College London
| | - Anne Peasey
- Research Department of Epidemiology and Public Health, University College London
| | - Michael Marmot
- Research Department of Epidemiology and Public Health, University College London
| | - Martin Bobak
- Research Department of Epidemiology and Public Health, University College London
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Stefler D, Pajak A, Malyutina S, Kubinova R, Bobak M, Brunner EJ. Comparison of food and nutrient intakes between cohorts of the HAPIEE and Whitehall II studies. Eur J Public Health 2015; 26:628-34. [PMID: 26637342 PMCID: PMC4946410 DOI: 10.1093/eurpub/ckv216] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Differences in dietary habits have been suggested as an important reason for the large health gap between Eastern and Western European populations. Few studies have compared individual-level nutritional data directly between the two regions. This study addresses this hypothesis by comparing food, drink and nutrient intakes in four large population samples. METHODS Czech, Polish and Russian participants of the Health, Alcohol and Psychosocial Factors in Eastern Europe (HAPIEE) study, and British participants in the Whitehall II study, altogether 29 972 individuals aged 45-73 years, were surveyed in 2002-2005. Dietary data were collected by customised food frequency questionnaires. Reported food, drink and nutrient intake data were harmonised and compared between cohorts using multivariable adjusted quantile regression models. RESULTS Median fruit and vegetable intakes were lower in the pooled Eastern European sample, but not in all country cohorts, compared with British subjects. Median daily consumption of fruits were 275, 213, 130 and 256 g in the Czech, Polish, Russian and Whitehall II cohort, respectively. The respective median daily intakes of vegetables were 185, 197, 292 and 246 g. Median intakes of animal fat foods and saturated fat, total fat and cholesterol nutrients were significantly higher in the Czech, Polish and Russian cohorts compared with the British; for example, median daily intakes of saturated fatty acids were 31.3, 32.5, 29.2 and 25.4 g, respectively. CONCLUSION Our findings suggest that there are important differences in dietary habits between and within Eastern and Western European populations which may have contributed to the health gap between the two regions.
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Affiliation(s)
- Denes Stefler
- 1 Department of Epidemiology and Public Health, University College London, London, UK
| | - Andrzej Pajak
- 2 Department of Epidemiology and Population Sciences, Jagiellonian University, Krakow, Poland
| | - Sofia Malyutina
- 3 Institute of Internal and Preventive Medicine, Siberian Branch of the Russian Academy of Medical Sciences, Novosibirsk, Russia 4 Novosibirsk State Medical University, Novosibirsk, Russia
| | - Ruzena Kubinova
- 5 Centre for Health Monitoring, National Institute of Public Health, Prague, Czech Republic
| | - Martin Bobak
- 1 Department of Epidemiology and Public Health, University College London, London, UK
| | - Eric J Brunner
- 1 Department of Epidemiology and Public Health, University College London, London, UK
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Bobak M, Hu Y, Malyutina S, Pajak A, Kubinova R, Pikhart H. Alcohol consumption and trajectories of physical functioning in Eastern Europe: 10-year follow-up. Eur J Public Health 2015. [DOI: 10.1093/eurpub/ckv174.058] [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: 11/13/2022] Open
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Lustigova M, Dzurova D, Bobak M, Kubinova R. The HAPIEE study – Does the ideal cardiovascular health exist? Eur J Public Health 2015. [DOI: 10.1093/eurpub/ckv175.113] [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: 11/15/2022] Open
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Lustigova M, Dzurova D, Pikhart H, Kubinova R. Education remains the strongest determinant of cardiovascular health in the Czech population. Eur J Public Health 2015. [DOI: 10.1093/eurpub/ckv169.043] [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: 11/13/2022] Open
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