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Harewood R, Rothwell JA, Bešević J, Viallon V, Achaintre D, Gicquiau A, Rinaldi S, Wedekind R, Prehn C, Adamski J, Schmidt JA, Jacobs I, Tjønneland A, Olsen A, Severi G, Kaaks R, Katzke V, Schulze MB, Prada M, Masala G, Agnoli C, Panico S, Sacerdote C, Jakszyn PG, Sánchez MJ, Castilla J, Chirlaque MD, Atxega AA, van Guelpen B, Heath AK, Papier K, Tong TYN, Summers SA, Playdon M, Cross AJ, Keski-Rahkonen P, Chajès V, Murphy N, Gunter MJ. Association between pre-diagnostic circulating lipid metabolites and colorectal cancer risk: a nested case-control study in the European Prospective Investigation into Cancer and Nutrition (EPIC). EBioMedicine 2024; 101:105024. [PMID: 38412638 PMCID: PMC10907191 DOI: 10.1016/j.ebiom.2024.105024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 01/26/2024] [Accepted: 02/05/2024] [Indexed: 02/29/2024] Open
Abstract
BACKGROUND Altered lipid metabolism is a hallmark of cancer development. However, the role of specific lipid metabolites in colorectal cancer development is uncertain. METHODS In a case-control study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC), we examined associations between pre-diagnostic circulating concentrations of 97 lipid metabolites (acylcarnitines, glycerophospholipids and sphingolipids) and colorectal cancer risk. Circulating lipids were measured using targeted mass spectrometry in 1591 incident colorectal cancer cases (55% women) and 1591 matched controls. Multivariable conditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations between concentrations of individual lipid metabolites and metabolite patterns with colorectal cancer risk. FINDINGS Of the 97 assayed lipids, 24 were inversely associated (nominally p < 0.05) with colorectal cancer risk. Hydroxysphingomyelin (SM (OH)) C22:2 (ORper doubling 0.60, 95% CI 0.47-0.77) and acylakyl-phosphatidylcholine (PC ae) C34:3 (ORper doubling 0.71, 95% CI 0.59-0.87) remained associated after multiple comparisons correction. These associations were unaltered after excluding the first 5 years of follow-up after blood collection and were consistent according to sex, age at diagnosis, BMI, and colorectal subsite. Two lipid patterns, one including 26 phosphatidylcholines and all sphingolipids, and another 30 phosphatidylcholines, were weakly inversely associated with colorectal cancer. INTERPRETATION Elevated pre-diagnostic circulating levels of SM (OH) C22:2 and PC ae C34:3 and lipid patterns including phosphatidylcholines and sphingolipids were associated with lower colorectal cancer risk. This study may provide insight into potential links between specific lipids and colorectal cancer development. Additional prospective studies are needed to validate the observed associations. FUNDING World Cancer Research Fund (reference: 2013/1002); European Commission (FP7: BBMRI-LPC; reference: 313010).
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Affiliation(s)
- Rhea Harewood
- International Agency for Research on Cancer (IARC), 25 Av. Tony Garnier, 69007, Lyon, France.
| | - Joseph A Rothwell
- Centre for Epidemiology and Population Health (U1018), Exposome and Heredity Team, Faculté de Médecine, Université Paris-Saclay, UVSQ, INSERM, Gustave Roussy, F-94805, Villejuif, France
| | - Jelena Bešević
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Vivian Viallon
- International Agency for Research on Cancer (IARC), 25 Av. Tony Garnier, 69007, Lyon, France
| | - David Achaintre
- International Agency for Research on Cancer (IARC), 25 Av. Tony Garnier, 69007, Lyon, France; School of Plant Sciences and Food Security, Faculty of Biology, Tel-Aviv University, Tel Aviv-Yafo, Israel
| | - Audrey Gicquiau
- International Agency for Research on Cancer (IARC), 25 Av. Tony Garnier, 69007, Lyon, France
| | - Sabina Rinaldi
- International Agency for Research on Cancer (IARC), 25 Av. Tony Garnier, 69007, Lyon, France
| | - Roland Wedekind
- International Agency for Research on Cancer (IARC), 25 Av. Tony Garnier, 69007, Lyon, France
| | - Cornelia Prehn
- Metabolomics and Proteomics Core, Helmholtz Zentrum München, 85764, Neuherberg, Germany
| | - Jerzy Adamski
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore, 117597; Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany; Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000, Ljubljana, Slovenia
| | - Julie A Schmidt
- Department of Clinical Medicine, Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Olof Palmes Allé 43-45, 8200 Aarhus N, Denmark
| | - Inarie Jacobs
- International Agency for Research on Cancer (IARC), 25 Av. Tony Garnier, 69007, Lyon, France
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Diet, Cancer and Health, Strandboulevarden 49, DK-2100, Copenhagen, Denmark; Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Anja Olsen
- Danish Cancer Society Research Center, Diet, Cancer and Health, Strandboulevarden 49, DK-2100, Copenhagen, Denmark; The Department of Public Health, University of Aarhus, Aarhus, Denmark
| | - Gianluca Severi
- Centre for Epidemiology and Population Health (U1018), Exposome and Heredity Team, Faculté de Médecine, Université Paris-Saclay, UVSQ, INSERM, Gustave Roussy, F-94805, Villejuif, France; Department of Statistics, Computer Science, Applications "G. Parenti", University of Florence, Florence, Italy
| | - Rudolf Kaaks
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Verena Katzke
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany; Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Marcela Prada
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian, 1, 20133, Milan, Italy
| | - Salvatore Panico
- Dipartimento Di Medicina Clinica E Chirurgia Federico Ii University, Naples, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Via Santena 7, 10126, Turin, Italy
| | - Paula Gabriela Jakszyn
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain; Blanquerna School of Health Sciences, Ramon Llull University, Barcelona, Spain
| | - Maria-Jose Sánchez
- Escuela Andaluza de Salud Pública (EASP), 18011, Granada, Spain; Instituto de Investigación Biosanitaria ibs.GRANADA, 18012, Granada, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Granada, 18071, Granada, Spain
| | - Jesús Castilla
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain; Instituto de Salud Pública de Navarra - IdiSNA, Pamplona, Spain
| | - María-Dolores Chirlaque
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain; Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, Murcia, Spain
| | - Amaia Aizpurua Atxega
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastian, Spain; Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, San Sebastián, Spain
| | - Bethany van Guelpen
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden; Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Scott A Summers
- Department of Nutrition and Integrative Physiology and the Diabetes and Metabolism Research Center, University of Utah, Salt Lake City, Utah, USA
| | - Mary Playdon
- Department of Nutrition and Integrative Physiology and the Diabetes and Metabolism Research Center, University of Utah, Salt Lake City, Utah, USA; Cancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, Utah, USA
| | - Amanda J Cross
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Pekka Keski-Rahkonen
- International Agency for Research on Cancer (IARC), 25 Av. Tony Garnier, 69007, Lyon, France
| | - Véronique Chajès
- International Agency for Research on Cancer (IARC), 25 Av. Tony Garnier, 69007, Lyon, France
| | - Neil Murphy
- International Agency for Research on Cancer (IARC), 25 Av. Tony Garnier, 69007, Lyon, France
| | - Marc J Gunter
- International Agency for Research on Cancer (IARC), 25 Av. Tony Garnier, 69007, Lyon, France; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
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2
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Tong TYN, Clarke R, Schmidt JA, Huybrechts I, Noor U, Forouhi NG, Imamura F, Travis RC, Weiderpass E, Aleksandrova K, Dahm CC, van der Schouw YT, Overvad K, Kyrø C, Tjønneland A, Kaaks R, Katzke V, Schiborn C, Schulze MB, Mayen-Chacon AL, Masala G, Sieri S, de Magistris MS, Tumino R, Sacerdote C, Boer JMA, Verschuren WMM, Brustad M, Nøst TH, Crous-Bou M, Petrova D, Amiano P, Huerta JM, Moreno-Iribas C, Engström G, Melander O, Johansson K, Lindvall K, Aglago EK, Heath AK, Butterworth AS, Danesh J, Key TJ. Dietary amino acids and risk of stroke subtypes: a prospective analysis of 356,000 participants in seven European countries. Eur J Nutr 2024; 63:209-220. [PMID: 37804448 PMCID: PMC10799144 DOI: 10.1007/s00394-023-03251-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 09/08/2023] [Indexed: 10/09/2023]
Abstract
PURPOSE Previously reported associations of protein-rich foods with stroke subtypes have prompted interest in the assessment of individual amino acids. We examined the associations of dietary amino acids with risks of ischaemic and haemorrhagic stroke in the EPIC study. METHODS We analysed data from 356,142 participants from seven European countries. Dietary intakes of 19 individual amino acids were assessed using validated country-specific dietary questionnaires, calibrated using additional 24-h dietary recalls. Multivariable-adjusted Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) of ischaemic and haemorrhagic stroke in relation to the intake of each amino acid. The role of blood pressure as a potential mechanism was assessed in 267,642 (75%) participants. RESULTS After a median follow-up of 12.9 years, 4295 participants had an ischaemic stroke and 1375 participants had a haemorrhagic stroke. After correction for multiple testing, a higher intake of proline (as a percent of total protein) was associated with a 12% lower risk of ischaemic stroke (HR per 1 SD higher intake 0.88; 95% CI 0.82, 0.94). The association persisted after mutual adjustment for all other amino acids, systolic and diastolic blood pressure. The inverse associations of isoleucine, leucine, valine, phenylalanine, threonine, tryptophan, glutamic acid, serine and tyrosine with ischaemic stroke were each attenuated with adjustment for proline intake. For haemorrhagic stroke, no statistically significant associations were observed in the continuous analyses after correcting for multiple testing. CONCLUSION Higher proline intake may be associated with a lower risk of ischaemic stroke, independent of other dietary amino acids and blood pressure.
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Affiliation(s)
- Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK.
| | - Robert Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
- Departments of Clinical Epidemiology, Clinical Medicine, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
| | - Inge Huybrechts
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC), World Health Organization (WHO), Lyon, France
| | - Urwah Noor
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Elisabete Weiderpass
- International Agency for Research on Cancer (IARC), World Health Organization (WHO), Lyon, France
| | - Krasimira Aleksandrova
- Department Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany
- Faculty of Human and Health Sciences, University of Bremen, Grazer Straße 2, 28359, Bremen, Germany
| | | | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Cecilie Kyrø
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | | | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Catarina Schiborn
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute for Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Ana-Lucia Mayen-Chacon
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC), World Health Organization (WHO), Lyon, France
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Milan, Italy
| | | | - Rosario Tumino
- Hyblean Association for Epidemiological Research AIRE-ONLUS, Ragusa, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy
| | - Jolanda M A Boer
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - W M Monique Verschuren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Magritt Brustad
- Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Tromsø, Norway
- The Public Dental Service Competence Centre of Northern Norway (TkNN), Tromsø, Norway
| | - Therese Haugdahl Nøst
- Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Tromsø, Norway
- K.G. Jebsen Centre for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Marta Crous-Bou
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO)-Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Dafina Petrova
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria Ibs.GRANADA, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C. de Melchor Fernández Almagro, Madrid, Spain
| | - Pilar Amiano
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C. de Melchor Fernández Almagro, Madrid, Spain
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastian, Spain
- Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, San Sebastián, Spain
| | - José María Huerta
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C. de Melchor Fernández Almagro, Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
| | - Conchi Moreno-Iribas
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C. de Melchor Fernández Almagro, Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, SpainInstituto de Salud Pu´Blica de Navarra, IdiSNA, Navarre Institute for Health Research, Pamplona, Spain
| | - Gunnar Engström
- Department of Clinical Science in Malmö, Lund University, Clinical Research Center, Malmö, Sweden
| | - Olle Melander
- Department of Clinical Science in Malmö, Lund University, Clinical Research Center, Malmö, Sweden
- Department of Emergency and Internal Medicine, Skåne University Hospital, Malmö, Sweden
| | - Kristina Johansson
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Kristina Lindvall
- Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden
| | - Elom K Aglago
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Hills Road, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
| | - John Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Hills Road, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
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3
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Meyer A, Dong C, Chan SSM, Touvier M, Julia C, Huybrechts I, Nicolas G, Oldenburg B, Heath AK, Tong TYN, Key TJ, Tjønneland A, Kyrø C, Kaaks R, Katzke VA, Bergman MM, Palli D, Masala G, Tumino R, Sacerdote C, Colorado‐Yohar SM, Sánchez M, Guevara M, Grip O, Holmgren J, Cross A, Karling P, Hultdin J, Murphy N, Deschasaux‐Tanguy M, Hercberg S, Galan P, Mahamat‐Saleh Y, Amiot A, Gunter MJ, Boutron‐Ruault M, Carbonnel F. Dietary index based on the Food Standards Agency nutrient profiling system and risk of Crohn's disease and ulcerative colitis. Aliment Pharmacol Ther 2024; 59:558-568. [PMID: 38100159 PMCID: PMC10952778 DOI: 10.1111/apt.17835] [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: 08/27/2023] [Revised: 09/22/2023] [Accepted: 12/05/2023] [Indexed: 12/20/2023]
Abstract
BACKGROUND Nutri-score is now widely available in food packages in Europe. AIM To study the overall nutritional quality of the diet in relation to risks of Crohn's disease (CD) and ulcerative colitis (UC), in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort METHODS: We collected dietary data at baseline from validated food frequency questionnaires. We used a dietary index based on the UK Food Standards Agency modified nutrient profiling system (FSAm-NPS-DI) underlying the Nutri-Score label, to measure the nutritional quality of the diet. We estimated the association between FSAm-NPS-DI score, and CD and UC risks using Cox models stratified by centre, sex and age; and adjusted for smoking status, BMI, physical activity, energy intake, educational level and alcohol intake. RESULTS We included 394,255 participants (68.1% women; mean age at recruitment 52.1 years). After a mean follow-up of 13.6 years, there were 184 incident cases of CD and 459 incident cases of UC. Risk of CD was higher in those with a lower nutritional quality, that is higher FSAm-NPS-DI Score (fourth vs. first quartile: aHR: 2.04, 95% CI: 1.24-3.36; p-trend: <0.01). Among items of the FSAm-NPS-DI Score, low intakes of dietary fibre and fruits/vegetables/legumes/nuts were associated with higher risk of CD. Nutritional quality was not associated with risk of UC (fourth vs. first quartile of the FSAm-NPS-DI Score: aHR: 0.91, 95% CI: 0.69-1.21; p-trend: 0.76). CONCLUSIONS A diet with low nutritional quality as measured by the FSAm-NPS-DI Score is associated with a higher risk of CD but not UC.
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Affiliation(s)
- Antoine Meyer
- INSERM, Centre for Research in Epidemiology and Population Health, U1018, Team 9Institut Gustave Roussy, Université Paris SaclayParisFrance
- Department of GastroenterologyUniversity Hospital of Bicêtre, Assistance Publique‐Hôpitaux de Paris and Université Paris‐SaclayParisFrance
| | - Catherine Dong
- INSERM, Centre for Research in Epidemiology and Population Health, U1018, Team 9Institut Gustave Roussy, Université Paris SaclayParisFrance
- Department of GastroenterologyUniversity Hospital of Bicêtre, Assistance Publique‐Hôpitaux de Paris and Université Paris‐SaclayParisFrance
| | - Simon S. M. Chan
- Department of MedicineNorwich Medical School, University of East AngliaNorwichUK
- Department of GastroenterologyNorfolk and Norwich University Hospital NHS TrustNorwichUK
| | - Mathilde Touvier
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research CenterUniversity Paris Cité (CRESS)BobignyFrance
| | - Chantal Julia
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research CenterUniversity Paris Cité (CRESS)BobignyFrance
- Department of Public Health, GHU Paris‐Seine‐Saint‐DenisAssistance Publique des Hôpitaux de Paris (AP‐HP)BobignyFrance
| | - Inge Huybrechts
- International Agency for Research on CancerNutrition and Metabolism branchLyonFrance
| | - Geneviève Nicolas
- International Agency for Research on CancerNutrition and Metabolism branchLyonFrance
| | - Bas Oldenburg
- Department of Gastroenterology and HepatologyUniversity Medical CentreUtrechtthe Netherlands
| | - Alicia K. Heath
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Tammy Y. N. Tong
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Timothy J. Key
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Anne Tjønneland
- Danish Cancer Society Research CenterCopenhagenDenmark
- Department of Public HealthUniversity of CopenhagenCopenhagenDenmark
| | - Cecilie Kyrø
- Danish Cancer Society Research CenterCopenhagenDenmark
| | - Rudolf Kaaks
- Division of Cancer EpidemiologyGerman Cancer Research Center (DKFZ)HeidelbergGermany
| | | | | | - Domenico Palli
- Molecular and Nutritional Epidemiology UnitCancer Research and Prevention Institute – ISPOFlorenceItaly
| | - Giovanna Masala
- Molecular and Nutritional Epidemiology UnitCancer Research and Prevention Institute – ISPOFlorenceItaly
| | - Rosario Tumino
- Cancer Registry and Histopathology DepartmentAzienda Sanitaria Provinciale (ASP)RagusaItaly
| | - Carlotta Sacerdote
- Unit of Cancer EpidemiologyCittà della Salute e della Scienza University‐HospitalTurinItaly
| | - Sandra M. Colorado‐Yohar
- Department of EpidemiologyMurcia Regional Health Council, IMIB‐ArrixacaMurciaSpain
- CIBER Epidemiologia y Salud Pública (CIBERESP)MadridSpain
- Research Group on Demography and HealthNational School of Public Health, University of AntioquiaMedellínColombia
| | - Maria‐Jose Sánchez
- Escuela Andaluza de Salud Pública (EASP)GranadaSpain
- Instituto de Investigación Biosanitaria ibs.GRANADAGranadaSpain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP)MadridSpain
- Department of Preventive Medicine and Public HealthUniversity of GranadaGranadaSpain
| | - Marcela Guevara
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP)MadridSpain
- Instituto de Salud Pública y Laboral de NavarraPamplonaSpain
| | - Olof Grip
- Department of Gastroenterology and HepatologyUniversity Hospital MalmöMalmöSweden
| | - Johanna Holmgren
- Department of Gastroenterology and HepatologyUniversity Hospital MalmöMalmöSweden
| | - Amanda Cross
- Public Health Policy Evaluation UnitSchool of Public Health, Imperial College LondonLondonUK
| | - Pontus Karling
- Department of Public Health and Clinical Medicine, MedicineUmeå UniversityUmeåSweden
| | - Johan Hultdin
- Department of Medical Biosciences, Clinical ChemistryUmeå UniversityUmeåSweden
| | - Neil Murphy
- International Agency for Research on CancerWorld Health OrganizationLyonFrance
| | - Mélanie Deschasaux‐Tanguy
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research CenterUniversity Paris Cité (CRESS)BobignyFrance
- Department of Public Health, GHU Paris‐Seine‐Saint‐DenisAssistance Publique des Hôpitaux de Paris (AP‐HP)BobignyFrance
| | - Serge Hercberg
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research CenterUniversity Paris Cité (CRESS)BobignyFrance
- Department of Public Health, GHU Paris‐Seine‐Saint‐DenisAssistance Publique des Hôpitaux de Paris (AP‐HP)BobignyFrance
| | - Pilar Galan
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research CenterUniversity Paris Cité (CRESS)BobignyFrance
- Department of Public Health, GHU Paris‐Seine‐Saint‐DenisAssistance Publique des Hôpitaux de Paris (AP‐HP)BobignyFrance
| | - Yahya Mahamat‐Saleh
- INSERM, Centre for Research in Epidemiology and Population Health, U1018, Team 9Institut Gustave Roussy, Université Paris SaclayParisFrance
| | - Aurélien Amiot
- INSERM, Centre for Research in Epidemiology and Population Health, U1018, Team 9Institut Gustave Roussy, Université Paris SaclayParisFrance
- Department of GastroenterologyUniversity Hospital of Bicêtre, Assistance Publique‐Hôpitaux de Paris and Université Paris‐SaclayParisFrance
| | - Marc J. Gunter
- Department of Medical Biosciences, Clinical ChemistryUmeå UniversityUmeåSweden
| | - Marie‐Christine Boutron‐Ruault
- INSERM, Centre for Research in Epidemiology and Population Health, U1018, Team 9Institut Gustave Roussy, Université Paris SaclayParisFrance
| | - Franck Carbonnel
- INSERM, Centre for Research in Epidemiology and Population Health, U1018, Team 9Institut Gustave Roussy, Université Paris SaclayParisFrance
- Department of GastroenterologyUniversity Hospital of Bicêtre, Assistance Publique‐Hôpitaux de Paris and Université Paris‐SaclayParisFrance
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4
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Tschiderer L, Peters SAE, van der Schouw YT, van Westing AC, Tong TYN, Willeit P, Seekircher L, Moreno‐Iribas C, Huerta JM, Crous‐Bou M, Söderholm M, Schulze MB, Johansson C, Själander S, Heath AK, Macciotta A, Dahm CC, Ibsen DB, Pala V, Mellemkjær L, Burgess S, Wood A, Kaaks R, Katzke V, Amiano P, Rodriguez‐Barranco M, Engström G, Weiderpass E, Tjønneland A, Halkjær J, Panico S, Danesh J, Butterworth A, Onland‐Moret NC. Age at Menopause and the Risk of Stroke: Observational and Mendelian Randomization Analysis in 204 244 Postmenopausal Women. J Am Heart Assoc 2023; 12:e030280. [PMID: 37681566 PMCID: PMC10547274 DOI: 10.1161/jaha.123.030280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 08/08/2023] [Indexed: 09/09/2023]
Abstract
Background Observational studies have shown that women with an early menopause are at higher risk of stroke compared with women with a later menopause. However, associations with stroke subtypes are inconsistent, and the causality is unclear. Methods and Results We analyzed data of the UK Biobank and EPIC-CVD (European Prospective Investigation Into Cancer and Nutrition-Cardiovascular Diseases) study. A total of 204 244 postmenopausal women without a history of stroke at baseline were included (7883 from EPIC-CVD [5292 from the subcohort], 196 361 from the UK Biobank). Pooled mean baseline age was 58.9 years (SD, 5.8), and pooled mean age at menopause was 47.8 years (SD, 6.2). Over a median follow-up of 12.6 years (interquartile range, 11.8-13.3), 6770 women experienced a stroke (5155 ischemic strokes, 1615 hemorrhagic strokes, 976 intracerebral hemorrhages, and 639 subarachnoid hemorrhages). In multivariable adjusted observational Cox regression analyses, the pooled hazard ratios per 5 years younger age at menopause were 1.09 (95% CI, 1.07-1.12) for stroke, 1.09 (95% CI, 1.06-1.13) for ischemic stroke, 1.10 (95% CI, 1.04-1.16) for hemorrhagic stroke, 1.14 (95% CI, 1.08-1.20) for intracerebral hemorrhage, and 1.00 (95% CI, 0.84-1.20) for subarachnoid hemorrhage. When using 2-sample Mendelian randomization analysis, we found no statistically significant association between genetically proxied age at menopause and risk of any type of stroke. Conclusions In our study, earlier age at menopause was related to a higher risk of stroke. We found no statistically significant association between genetically proxied age at menopause and risk of stroke, suggesting no causal relationship.
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Affiliation(s)
- Lena Tschiderer
- Julius Center for Health Sciences and Primary CareUniversity Medical Center UtrechtUtrechtthe Netherlands
- Institute of Health EconomicsMedical University of InnsbruckInnsbruckAustria
| | - Sanne A. E. Peters
- Julius Center for Health Sciences and Primary CareUniversity Medical Center UtrechtUtrechtthe Netherlands
- The George Institute for Global Health, School of Public HealthImperial College LondonLondonUnited Kingdom
- The George Institute for Global HealthUniversity of New South WalesSydneyNew South WalesAustralia
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary CareUniversity Medical Center UtrechtUtrechtthe Netherlands
| | - Anniek C. van Westing
- Julius Center for Health Sciences and Primary CareUniversity Medical Center UtrechtUtrechtthe Netherlands
- Division of Human Nutrition and HealthWageningen UniversityWageningenthe Netherlands
| | - Tammy Y. N. Tong
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUnited Kingdom
| | - Peter Willeit
- Institute of Health EconomicsMedical University of InnsbruckInnsbruckAustria
- Department of Public Health and Primary CareUniversity of CambridgeCambridgeUnited Kingdom
| | - Lisa Seekircher
- Institute of Health EconomicsMedical University of InnsbruckInnsbruckAustria
| | - Conchi Moreno‐Iribas
- Instituto de Salud Pública y Laboral de NavarraPamplonaSpain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP)MadridSpain
- Navarra Institute for Health Research (IdiSNA)PamplonaSpain
| | - José María Huerta
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP)MadridSpain
- Department of EpidemiologyMurcia Regional Health Council‐IMIBMurciaSpain
| | - Marta Crous‐Bou
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO)–Bellvitge Biomedical Research Institute (IDIBELL)L’Hospitalet de LlobregatBarcelonaSpain
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMA
| | - Martin Söderholm
- Department of NeurologySkåne University Hospital, Lund and MalmöMalmöSweden
- Department of Clinical Sciences, MalmöLund UniversityMalmöSweden
| | - Matthias B. Schulze
- Department of Molecular EpidemiologyGerman Institute of Human Nutrition Potsdam‐RehbrueckeNuthetalGermany
- Institute of Nutritional ScienceUniversity of PotsdamNuthetalGermany
| | - Cecilia Johansson
- Skellefteå Research Unit, Department of Public Health and Clinical MedicineUmeå UniversityUmeåVästerbottenSweden
| | - Sara Själander
- Department of Public Health and Clinical MedicineUmeå UniversityUmeåSweden
| | - Alicia K. Heath
- Department of Epidemiology and Biostatistics, School of Public HealthImperial College LondonLondonUnited Kingdom
| | - Alessandra Macciotta
- Centre for Biostatistics, Epidemiology, and Public Health (C‐BEPH), Department of Clinical and Biological SciencesUniversity of TurinTurinItaly
| | | | - Daniel B. Ibsen
- Department of Public HealthAarhus UniversityAarhusDenmark
- Steno Diabetes Center AarhusAarhusDenmark
- MRC Epidemiology UnitUniversity of Cambridge School of Clinical MedicineCambridgeUnited Kingdom
- Department of Nutrition, Exercise and SportsUniversity of CopenhagenFrederiksbergDenmark
| | - Valeria Pala
- Epidemiology and Prevention UnitFondazione IRCCS Istituto Nazionale dei TumoriMilanItaly
| | | | - Stephen Burgess
- Department of Public Health and Primary CareUniversity of CambridgeCambridgeUnited Kingdom
- Heart and Lung Research InstituteUniversity of CambridgeCambridgeUnited Kingdom
- MRC Biostatistics Unit, School of Clinical MedicineUniversity of CambridgeCambridgeUnited Kingdom
| | - Angela Wood
- Department of Public Health and Primary CareUniversity of CambridgeCambridgeUnited Kingdom
| | - Rudolf Kaaks
- Division of Cancer EpidemiologyGerman Cancer Research Center, DKFZHeidelbergGermany
| | - Verena Katzke
- Division of Cancer EpidemiologyGerman Cancer Research Center, DKFZHeidelbergGermany
| | - Pilar Amiano
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP)MadridSpain
- Ministry of Health of the Basque GovernmentSub Directorate for Public Health and Addictions of GipuzkoaSan SebastianSpain
- Biodonostia Health Research InstituteEpidemiology of Chronic and Communicable Diseases GroupSan SebastianSpain
| | - Miguel Rodriguez‐Barranco
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP)MadridSpain
- Escuela Andaluza de Salud Pública (EASP)GranadaSpain
- Instituto de Investigación Biosanitaria ibs.GRANADAGranadaSpain
| | - Gunnar Engström
- Department of Clinical Sciences, MalmöLund UniversityMalmöSweden
| | | | - Anne Tjønneland
- Danish Cancer Society Research CenterCopenhagenDenmark
- Department of Public Health, Section of Environmental Health, Faculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark
| | - Jytte Halkjær
- Danish Cancer Society Research CenterCopenhagenDenmark
| | | | - John Danesh
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary CareUniversity of CambridgeCambridgeUnited Kingdom
- National Institute for Health and Care Research Cambridge Biomedical Research CentreCambridge University HospitalsCambridgeUnited Kingdom
- The National Institute for Health and Care Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and GenomicsUniversity of CambridgeCambridgeUnited Kingdom
- Human GeneticsWellcome Sanger InstituteSaffron WaldenUnited Kingdom
- Health Data Research UK CambridgeWellcome Genome Campus and University of CambridgeCambridgeUnited Kingdom
- British Heart Foundation Centre of Research Excellence, Division of Cardiovascular MedicineAddenbrooke’s HospitalCambridgeUnited Kingdom
| | - Adam Butterworth
- Department of Public Health and Primary CareUniversity of CambridgeCambridgeUnited Kingdom
- Heart and Lung Research InstituteUniversity of CambridgeCambridgeUnited Kingdom
- Health Data Research UK CambridgeWellcome Genome Campus and University of CambridgeCambridgeUnited Kingdom
- NIHR Blood and Transplant Research Unit in Donor Health and BehaviourUniversity of CambridgeCambridgeUnited Kingdom
- BHF Centre of Research Excellence, School of Clinical MedicineAddenbrooke’s HospitalCambridgeUnited Kingdom
| | - N. Charlotte Onland‐Moret
- Julius Center for Health Sciences and Primary CareUniversity Medical Center UtrechtUtrechtthe Netherlands
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5
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Meyer A, Dong C, Casagrande C, Chan SSM, Huybrechts I, Nicolas G, Rauber F, Levy RB, Millett C, Oldenburg B, Weiderpass E, Heath AK, Tong TYN, Tjønneland A, Kyrø C, Kaaks R, Katzke VA, Bergman MM, Palli D, Masala G, Tumino R, Sacerdote C, Colorado-Yohar SM, Sánchez MJ, Grip O, Lindgren S, Luben R, Gunter MJ, Mahamat-Saleh Y, Boutron-Ruault MC, Carbonnel F. Food Processing and Risk of Crohn's Disease and Ulcerative Colitis: A European Prospective Cohort Study. Clin Gastroenterol Hepatol 2023; 21:1607-1616.e6. [PMID: 36243353 DOI: 10.1016/j.cgh.2022.09.031] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 09/10/2022] [Accepted: 09/29/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS Industrial foods have been associated with increased risks of several chronic conditions. We investigated the relationship between the degree of food processing and risks of Crohn's disease (CD) and ulcerative colitis (UC) in the European Prospective Investigation into Cancer and Nutrition cohort. METHODS Analyses included 413,590 participants (68.6% women; mean baseline age, 51.7 y) from 8 European countries. Dietary data were collected at baseline from validated country-specific dietary questionnaires. Associations between proportions of unprocessed/minimally processed and ultraprocessed food intake and CD and UC risks were estimated using Cox models to obtain hazard ratios (HRs) and 95% CIs. Models were stratified by center, age, and sex, and adjusted for smoking status, body mass index, physical activity, energy intake, educational level, and alcohol consumption. RESULTS During a mean follow-up period of 13.2 years, 179 incident cases of CD and 431 incident cases of UC were identified. The risk of CD was lower in people consuming high proportions of unprocessed/minimally processed foods (adjusted HR for the highest vs lowest quartile: 0.57; 95% CI, 0.35-0.93; P trend < .01), particularly fruits and vegetables (adjusted HRs, 0.54; 95% CI, 0.34-0.87 and 0.55; 95% CI, 0.34-0.91, respectively). There was no association between unprocessed/minimally processed food intake and the risk of UC. No association was detected between ultraprocessed food consumption and CD or UC risks. CONCLUSIONS In the European Prospective Investigation into Cancer and Nutrition cohort, consumption of unprocessed/minimally processed foods was associated with a lower risk of CD. No association between UC risk and food processing was found.
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Affiliation(s)
- Antoine Meyer
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France; Department of Gastroenterology, University Hospital of Bicêtre, Assistance Publique-Hôpitaux de Paris, Université Paris-Saclay, Le Kremlin Bicêtre, France
| | - Catherine Dong
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France; Department of Gastroenterology, University Hospital of Bicêtre, Assistance Publique-Hôpitaux de Paris, Université Paris-Saclay, Le Kremlin Bicêtre, France
| | - Corinne Casagrande
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Simon S M Chan
- Norwich Medical School, Department of Medicine, University of East Anglia, Norwich, United Kingdom; Department of Gastroenterology, Norfolk and Norwich University Hospital National Health Service Trust, Norwich, United Kingdom
| | - Inge Huybrechts
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Geneviève Nicolas
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Fernanda Rauber
- Department of Preventive Medicine, Center for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil
| | - Renata Bertazzi Levy
- Department of Preventive Medicine, Center for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil
| | - Christopher Millett
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, United Kingdom; National School of Public Health, Public Health Research Centre, NOVA University of Lisbon and Comprehensive Health Research Center, Lisbon, Portugal
| | - Bas Oldenburg
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Cecilie Kyrø
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Verena A Katzke
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | | | - Domenico Palli
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute-Istituto per lo Studio e la Prevenzione Oncologia, Florence, Italy
| | - Giovanna Masala
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute-Istituto per lo Studio e la Prevenzione Oncologia, Florence, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Azienda Sanitaria Provinciale, Ragusa, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University Hospital, Turin, Italy
| | - Sandra M Colorado-Yohar
- Department of Epidemiology, Murcia Regional Health Council, Instituto Murciano de Investigación Biosanitaria-Arrixaca, Murcia, Spain; Consorcio de Investigación Biomédica en Red Epidemiologia and Salud Pública, Madrid, Spain; National School of Public Health, Research Group on Demography and Health, University of Antioquia, Medellín, Colombia
| | - Maria-Jose Sánchez
- Consorcio de Investigación Biomédica en Red Epidemiologia and Salud Pública, Madrid, Spain; Escuela Andaluza de Salud Pública, Granada, Spain; Instituto de Investigación Biosanitaria, Granada, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Olof Grip
- Department of Gastroenterology and Hepatology, University Hospital Malmö, Malmö, Sweden
| | - Stefan Lindgren
- Department of Gastroenterology and Hepatology, University Hospital Malmö, Malmö, Sweden
| | - Robert Luben
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom; Institute of Ophthalmology, University College London, London, United Kingdom
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Yahya Mahamat-Saleh
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France
| | - Marie-Christine Boutron-Ruault
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France
| | - Franck Carbonnel
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France; Department of Gastroenterology, University Hospital of Bicêtre, Assistance Publique-Hôpitaux de Paris, Université Paris-Saclay, Le Kremlin Bicêtre, France.
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6
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Sobiecki JG, Imamura F, Davis CR, Sharp SJ, Koulman A, Hodgson JM, Guevara M, Schulze MB, Zheng JS, Agnoli C, Bonet C, Colorado-Yohar SM, Fagherazzi G, Franks PW, Gundersen TE, Jannasch F, Kaaks R, Katzke V, Molina-Montes E, Nilsson PM, Palli D, Panico S, Papier K, Rolandsson O, Sacerdote C, Tjønneland A, Tong TYN, van der Schouw YT, Danesh J, Butterworth AS, Riboli E, Murphy KJ, Wareham NJ, Forouhi NG. A nutritional biomarker score of the Mediterranean diet and incident type 2 diabetes: Integrated analysis of data from the MedLey randomised controlled trial and the EPIC-InterAct case-cohort study. PLoS Med 2023; 20:e1004221. [PMID: 37104291 PMCID: PMC10138823 DOI: 10.1371/journal.pmed.1004221] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 03/15/2023] [Indexed: 04/28/2023] Open
Abstract
BACKGROUND Self-reported adherence to the Mediterranean diet has been modestly inversely associated with incidence of type 2 diabetes (T2D) in cohort studies. There is uncertainty about the validity and magnitude of this association due to subjective reporting of diet. The association has not been evaluated using an objectively measured biomarker of the Mediterranean diet. METHODS AND FINDINGS We derived a biomarker score based on 5 circulating carotenoids and 24 fatty acids that discriminated between the Mediterranean or habitual diet arms of a parallel design, 6-month partial-feeding randomised controlled trial (RCT) conducted between 2013 and 2014, the MedLey trial (128 participants out of 166 randomised). We applied this biomarker score in an observational study, the European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct case-cohort study, to assess the association of the score with T2D incidence over an average of 9.7 years of follow-up since the baseline (1991 to 1998). We included 22,202 participants, of whom 9,453 were T2D cases, with relevant biomarkers from an original case-cohort of 27,779 participants sampled from a cohort of 340,234 people. As a secondary measure of the Mediterranean diet, we used a score estimated from dietary-self report. Within the trial, the biomarker score discriminated well between the 2 arms; the cross-validated C-statistic was 0.88 (95% confidence interval (CI) 0.82 to 0.94). The score was inversely associated with incident T2D in EPIC-InterAct: the hazard ratio (HR) per standard deviation of the score was 0.71 (95% CI: 0.65 to 0.77) following adjustment for sociodemographic, lifestyle and medical factors, and adiposity. In comparison, the HR per standard deviation of the self-reported Mediterranean diet was 0.90 (95% CI: 0.86 to 0.95). Assuming the score was causally associated with T2D, higher adherence to the Mediterranean diet in Western European adults by 10 percentiles of the score was estimated to reduce the incidence of T2D by 11% (95% CI: 7% to 14%). The study limitations included potential measurement error in nutritional biomarkers, unclear specificity of the biomarker score to the Mediterranean diet, and possible residual confounding. CONCLUSIONS These findings suggest that objectively assessed adherence to the Mediterranean diet is associated with lower risk of T2D and that even modestly higher adherence may have the potential to reduce the population burden of T2D meaningfully. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12613000602729 https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=363860.
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Affiliation(s)
- Jakub G. Sobiecki
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Courtney R. Davis
- Alliance for Research in Exercise, Nutrition and Activity, UniSA Clinical and Health Sciences, University of South Australia, Adelaide, Australia
| | - Stephen J. Sharp
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Albert Koulman
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Nutritional Biomarker Laboratory, National Institute for Health Research Biomedical Research Centre, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Jonathan M. Hodgson
- Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
- Medical School, University of Western Australia, Perth, Australia
| | - Marcela Guevara
- Navarra Public Health Institute, Pamplona, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Ju-Sheng Zheng
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy
| | - Catalina Bonet
- Unit of Nutrition and Cancer, Catalan Institute of Oncology—ICO, L’Hospitalet de Llobregat, Barcelona, Spain
- Nutrition and Cancer Group, Bellvitge Biomedical Research Institute—IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain
| | - Sandra M. Colorado-Yohar
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- Research Group on Demography and Health, National Faculty of Public Health, University of Antioquia, Medellín, Colombia
| | - Guy Fagherazzi
- Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Insitute of Health, Strassen, Luxembourg
- Center of Epidemiology and Population Health UMR 1018, Inserm, Paris South—Paris Saclay University, Gustave Roussy Institute, Villejuif, France
| | - Paul W. Franks
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | | | - Franziska Jannasch
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Esther Molina-Montes
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Institute of Nutrition and Food Technology (INYTA) ‘José Mataix’, Biomedical Research Centre, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- Department of Nutrition and Food Science, University of Granada, Granada, Spain
| | | | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network—ISPRO, Florence, Italy
| | - Salvatore Panico
- Department of Mental, Physical Health and Preventive Medicine, University “L. Vanvitelli”, Naples, Italy
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Olov Rolandsson
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tammy Y. N. Tong
- Department of Mental, Physical Health and Preventive Medicine, University “L. Vanvitelli”, Naples, Italy
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - John Danesh
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- British Heart Foundation Cambridge Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke’s Hospital, Cambridge, United Kingdom
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, Cambridge, United Kingdom
- Health Data Research UK Cambridge, University of Cambridge, Cambridge, United Kingdom
| | - Adam S. Butterworth
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Elio Riboli
- School of Public Health, Imperial College London, London, United Kingdom
| | - Karen J. Murphy
- Alliance for Research in Exercise, Nutrition and Activity, UniSA Clinical and Health Sciences, University of South Australia, Adelaide, Australia
| | - Nicholas J. Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Nita G. Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, United Kingdom
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7
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Heath AK, Tong TYN, Riboli E. Promotion of healthy nutrition for cardiovascular disease prevention - a multimodal approach is needed. Eur J Prev Cardiol 2023:7079734. [PMID: 36929824 DOI: 10.1093/eurjpc/zwad078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 03/13/2023] [Indexed: 03/18/2023]
Affiliation(s)
- Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
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Papier K, Kakkoura MG, Guo Y, Knuppel A, Pei P, Tong TYN, Yu C, Perez-Cornago A, Chang WC, Chen J, Lv J, Li L, Chen Z, Du H, Key TJ. Intakes of major food groups in China and UK: results from 100,000 adults in the China Kadoorie biobank and UK biobank. Eur J Nutr 2023; 62:819-832. [PMID: 36271961 PMCID: PMC9941233 DOI: 10.1007/s00394-022-03031-6] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 10/05/2022] [Indexed: 02/03/2023]
Abstract
PURPOSE Different populations may exhibit differences in dietary intakes, which may result in heterogeneities in diet-disease associations. We compared intakes of major food groups overall, by sex, and by socio-economic status (SES) (defined as both education and income), between participants in the China Kadoorie Biobank (CKB) and the UK Biobank (UKB). METHODS Data were from ~ 25,000 CKB participants who completed a validated interviewer-administered computer-based questionnaire (2013-2014) and ~ 74,000 UKB participants who completed ≥ 3 web-based 24-h dietary assessments (2009-2012). Intakes of 12 major food groups and five beverages were harmonized and compared between the cohorts overall, by sex and by SES. Multivariable-adjusted linear regression examined the associations between dietary intakes and body mass index (BMI) in each cohort. RESULTS CKB participants reported consuming more rice, eggs, vegetables, soya products, and less wheat, other staple foods (other than rice and wheat), fish, poultry, all dairy products, fruit, and beverages compared to UKB participants. Red meat intake was similar in both cohorts. Having a higher SES was generally associated with a higher consumption of foods and beverages in CKB, whereas in UKB dietary intakes differed more by education and income, with a positive association observed for meat and income in both UKB and CKB but an inverse association observed for education in UKB. Associations of dietary intakes with BMI varied between the two cohorts. CONCLUSION The large differences in dietary intakes and their associations with SES and BMI could provide insight into the interpretation of potentially different diet-disease associations between CKB and UKB.
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Affiliation(s)
- Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Maria G Kakkoura
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
- Fuwai Hospital Chinese Academy of Medical Sciences, Beijing, China
| | - Anika Knuppel
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, UK
| | - Pei Pei
- Fuwai Hospital Chinese Academy of Medical Sciences, Beijing, China
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, 100191, China
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Wing Ching Chang
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, 100191, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, 100191, China
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Huaidong Du
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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Kelly RK, Tong TYN, Watling CZ, Reynolds A, Piernas C, Schmidt JA, Papier K, Carter JL, Key TJ, Perez-Cornago A. Associations between types and sources of dietary carbohydrates and cardiovascular disease risk: a prospective cohort study of UK Biobank participants. BMC Med 2023; 21:34. [PMID: 36782209 PMCID: PMC9926727 DOI: 10.1186/s12916-022-02712-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 12/14/2022] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND Recent studies have reported that the associations between dietary carbohydrates and cardiovascular disease (CVD) may depend on the quality, rather than the quantity, of carbohydrates consumed. This study aimed to assess the associations between types and sources of dietary carbohydrates and CVD incidence. A secondary aim was to examine the associations of carbohydrate intakes with triglycerides within lipoprotein subclasses. METHODS A total of 110,497 UK Biobank participants with ≥ two (maximum five) 24-h dietary assessments who were free from CVD and diabetes at baseline were included. Multivariable-adjusted Cox regressions were used to estimate risks of incident total CVD (4188 cases), ischaemic heart disease (IHD; 3138) and stroke (1124) by carbohydrate intakes over a median follow-up time of 9.4 years, and the effect of modelled dietary substitutions. The associations of carbohydrate intakes with plasma triglycerides within lipoprotein subclasses as measured by nuclear magnetic resonance (NMR) spectroscopy were examined in 26,095 participants with baseline NMR spectroscopy measurements. RESULTS Total carbohydrate intake was not associated with CVD outcomes. Free sugar intake was positively associated with total CVD (HR; 95% CI per 5% of energy, 1.07;1.03-1.10), IHD (1.06;1.02-1.10), and stroke (1.10;1.04-1.17). Fibre intake was inversely associated with total CVD (HR; 95% CI per 5 g/d, 0.96;0.93-0.99). Modelled isoenergetic substitution of 5% of energy from refined grain starch with wholegrain starch was inversely associated with total CVD (0.94;0.91-0.98) and IHD (0.94;0.90-0.98), and substitution of free sugars with non-free sugars was inversely associated with total CVD (0.95;0.92-0.98) and stroke (0.91;0.86-0.97). Free sugar intake was positively associated with triglycerides within all lipoproteins. CONCLUSIONS Higher free sugar intake was associated with higher CVD incidence and higher triglyceride concentrations within all lipoproteins. Higher fibre intake and replacement of refined grain starch and free sugars with wholegrain starch and non-free sugars, respectively, may be protective for incident CVD.
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Affiliation(s)
- Rebecca K. Kelly
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford, OX3 7LF UK
| | - Tammy Y. N. Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford, OX3 7LF UK
| | - Cody Z. Watling
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford, OX3 7LF UK
| | - Andrew Reynolds
- Department of Medicine, University of Otago, Dunedin, 9016 New Zealand
| | - Carmen Piernas
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX3 7LF UK
| | - Julie A. Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford, OX3 7LF UK
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Olof Palmes Allé 43-45, 8200 Aarhus N, Denmark
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford, OX3 7LF UK
| | - Jennifer L. Carter
- Clinical Trial Service Unit and Epidemiological Studies Unit, University of Oxford, Oxford, OX3 7LF UK
| | - Timothy J. Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford, OX3 7LF UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford, OX3 7LF UK
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10
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Watling CZ, Kelly RK, Tong TYN, Piernas C, Watts EL, Tin Tin S, Knuppel A, Schmidt JA, Travis RC, Key TJ, Perez-Cornago A. Associations between food group intakes and circulating insulin-like growth factor-I in the UK Biobank: a cross-sectional analysis. Eur J Nutr 2023; 62:115-124. [PMID: 35906357 PMCID: PMC9899744 DOI: 10.1007/s00394-022-02954-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 07/05/2022] [Indexed: 02/07/2023]
Abstract
PURPOSE Circulating insulin-like growth factor-I (IGF-I) concentrations have been positively associated with risk of several common cancers and inversely associated with risk of bone fractures. Intakes of some foods have been associated with increased circulating IGF-I concentrations; however, evidence remains inconclusive. Our aim was to assess cross-sectional associations of food group intakes with circulating IGF-I concentrations in the UK Biobank. METHODS At recruitment, the UK Biobank participants reported their intake of commonly consumed foods. From these questions, intakes of total vegetables, fresh fruit, red meat, processed meat, poultry, oily fish, non-oily fish, and cheese were estimated. Serum IGF-I concentrations were measured in blood samples collected at recruitment. After exclusions, a total of 438,453 participants were included in this study. Multivariable linear regression was used to assess the associations of food group intakes with circulating IGF-I concentrations. RESULTS Compared to never consumers, participants who reported consuming oily fish or non-oily fish ≥ 2 times/week had 1.25 nmol/L (95% confidence interval:1.19-1.31) and 1.16 nmol/L (1.08-1.24) higher IGF-I concentrations, respectively. Participants who reported consuming poultry ≥ 2 times/week had 0.87 nmol/L (0.80-0.94) higher IGF-I concentrations than those who reported never consuming poultry. There were no strong associations between other food groups and IGF-I concentrations. CONCLUSIONS We found positive associations between oily and non-oily fish intake and circulating IGF-I concentrations. A weaker positive association of IGF-I with poultry intake was also observed. Further research is needed to understand the mechanisms which might explain these associations.
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Affiliation(s)
- Cody Z Watling
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK.
| | - Rebecca K Kelly
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Carmen Piernas
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- Department of Biochemistry and Molecular Biology II, Center for Biomedical Research (CIBM), University of Granada, Granada, Spain
| | - Eleanor L Watts
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Sandar Tin Tin
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Anika Knuppel
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, UK
| | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
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11
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Tong TYN, Papier K, Key TJ. Meat, vegetables and health - interpreting the evidence. Nat Med 2022; 28:2001-2002. [PMID: 36216937 DOI: 10.1038/s41591-022-02006-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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12
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Dong C, Chan SSM, Jantchou P, Racine A, Oldenburg B, Weiderpass E, Heath AK, Tong TYN, Tjønneland A, Kyrø C, Bueno de Mesquita B, Kaaks R, Katzke VA, Bergman MM, Boeing H, Palli D, Masala G, Tumino R, Sacerdote C, Colorado-Yohar SM, Sánchez MJ, Grip O, Lindgren S, Luben R, Huybrechts I, Gunter MJ, Mahamat-Saleh Y, Boutron-Ruault MC, Carbonnel F. Meat Intake Is Associated with a Higher Risk of Ulcerative Colitis in a Large European Prospective Cohort Studyø. J Crohns Colitis 2022; 16:1187-1196. [PMID: 35396592 PMCID: PMC10020974 DOI: 10.1093/ecco-jcc/jjac054] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [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] [Indexed: 12/26/2022]
Abstract
BACKGROUND AND AIMS We aimed to investigate the association between protein intake and risk of inflammatory bowel disease [IBD] in the European Prospective Investigation into Cancer and Nutrition. METHODS A total of 413 593 participants from eight European countries were included. Dietary data were collected at baseline from validated food frequency questionnaires. Dietary data were calibrated to correct errors in measures related to each country-specific questionnaire. Associations between proteins [total, animal, and vegetable] or food sources of animal proteins, and IBD risk were estimated by Cox proportional hazard models. RESULTS After a mean follow-up of 16 years, 177 patients with Crohn's disease [CD] and 418 with ulcerative colitis [UC], were identified. There was no association between total protein, animal protein, or vegetable protein intakes and CD or UC risks. Total meat and red meat intakes were associated with UC risk (hazard ratio [HR] for the 4th vs 1st quartile = 1.40, 95% confidence interval [CI] = 0.99-1.98, p-trend = 0.01; and 1.61, 95% CI = 1.10-2.36, p-trend = 0.007, respectively]. There was no association between other food sources of animal protein [processed meat, fish, shellfish, eggs, poultry] and UC. We found no association between food sources of animal proteins and CD risk. CONCLUSIONS Meat and red meat consumptions are associated with higher risks of UC. These results support dietary counselling of low meat intake in people at high-risk of IBD.
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Affiliation(s)
- Catherine Dong
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France
- Department of Gastroenterology, University Hospital of Bicêtre, Assistance Publique-Hôpitaux de Paris and Université Paris-Saclay, Le Kremlin Bicêtre, France
| | - Simon S M Chan
- Norwich Medical School, Department of Medicine, University of East Anglia, Norwich, UK
- Department of Gastroenterology, Norfolk and Norwich University Hospital NHS Trust, Norwich, UK
| | - Prevost Jantchou
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France
- Sainte Justine University Hospital, Montréal, QC, Canada
| | - Antoine Racine
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France
- Department of Gastroenterology, University Hospital of Bicêtre, Assistance Publique-Hôpitaux de Paris and Université Paris-Saclay, Le Kremlin Bicêtre, France
| | - Bas Oldenburg
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Cecilie Kyrø
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Bas Bueno de Mesquita
- National Institute for Public Health and the Environment [RIVM], Bilthoven, The Netherlands
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research
Center, Heidelberg, Germany
| | - Verena A Katzke
- Division of Cancer Epidemiology, German Cancer Research
Center, Heidelberg, Germany
| | - Manuela M Bergman
- Department of Epidemiology, German Institute of Human Nutrition, Potsdam, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition, Potsdam, Germany
| | - Domenico Palli
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute, Florence, Italy
| | - Giovanna Masala
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute, Florence, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Azienda Sanitaria Provinciale, Ragusa, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy
| | - Sandra M Colorado-Yohar
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- CIBER Epidemiologia y Salud Pública [CIBERESP], Madrid, Spain
- National School of Public Health, Research Group on Demography and Health, University of Antioquia, Medellín, Colombia
| | - Maria-Jose Sánchez
- CIBER Epidemiologia y Salud Pública [CIBERESP], Madrid, Spain
- Escuela Andaluza de Salud Pública [EASP], Granada, Spain
- Instituto de Investigación Biosanitaria, Granada, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Olof Grip
- Department of Gastroenterology and Hepatology, University Hospital Malmö, Malmö, Sweden
| | - Stefan Lindgren
- Department of Gastroenterology and Hepatology, University Hospital Malmö, Malmö, Sweden
| | - Robert Luben
- Strangeways Research Laboratory, Institute of Public Health, University of Cambridge, Cambridge, UK
| | - Inge Huybrechts
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Marc J Gunter
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Yahya Mahamat-Saleh
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France
| | - Marie-Christine Boutron-Ruault
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France
| | - Franck Carbonnel
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France
- Department of Gastroenterology, University Hospital of Bicêtre, Assistance Publique-Hôpitaux de Paris and Université Paris-Saclay, Le Kremlin Bicêtre, France
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Abstract
The concept of plant-based diets has become popular due to the purported benefits for both human health and environmental impact. Although 'plant-based' is sometimes used to indicate omnivorous diets with a relatively small component of animal foods, here we take it to mean either vegetarian (plant-based plus dairy products and/or eggs) or vegan (100% plant-based). Important characteristics of plant-based diets which would be expected to be beneficial for long-term health are low intakes of saturated fat and high intakes of dietary fibre, whereas potentially deleterious characteristics are the risk of low intakes of some micronutrients such as vitamin B12, vitamin D, calcium and iodine, particularly in vegans. Vegetarians and vegans typically have lower BMI, serum LDL cholesterol and blood pressure than comparable regular meat-eaters, as well as lower bone mineral density. Vegetarians in the EPIC-Oxford study have a relatively low risk of IHD, diabetes, diverticular disease, kidney stones, cataracts and possibly some cancers, but a relatively high risk of stroke (principally haemorrhagic stroke) and bone fractures, in comparison with meat-eaters. Vegans in EPIC-Oxford have a lower risk of diabetes, diverticular disease and cataracts and a higher risk of fractures, but there are insufficient data for other conditions to draw conclusions. Overall, the health of people following plant-based diets appears to be generally good, with advantages but also some risks, and the extent to which the risks may be mitigated by optimal food choices, fortification and supplementation is not yet known.
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Affiliation(s)
- Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford OX3 7LF, UK
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford OX3 7LF, UK
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford OX3 7LF, UK
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14
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Watling CZ, Schmidt JA, Dunneram Y, Tong TYN, Kelly RK, Knuppel A, Travis RC, Key TJ, Perez-Cornago A. Risk of cancer in regular and low meat-eaters, fish-eaters, and vegetarians: a prospective analysis of UK Biobank participants. BMC Med 2022; 20:73. [PMID: 35197066 PMCID: PMC8867885 DOI: 10.1186/s12916-022-02256-w] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 01/13/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Following a vegetarian diet has become increasingly popular and some evidence suggests that being vegetarian may be associated with a lower risk of cancer overall. However, for specific cancer sites, the evidence is limited. Our aim was to assess the associations of vegetarian and non-vegetarian diets with risks of all cancer, colorectal cancer, postmenopausal breast cancer, and prostate cancer and to explore the role of potential mediators between these associations. METHODS We conducted a prospective analysis of 472,377 UK Biobank participants who were free from cancer at recruitment. Participants were categorised into regular meat-eaters (n = 247,571), low meat-eaters (n = 205,385), fish-eaters (n = 10,696), and vegetarians (n = 8685) based on dietary questions completed at recruitment. Multivariable-adjusted Cox regressions were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for all cancer incidence and separate cancer sites across diet groups. RESULTS After an average follow-up of 11.4 years, 54,961 incident cancers were identified, including 5882 colorectal, 7537 postmenopausal breast, and 9501 prostate cancers. Compared with regular meat-eaters, being a low meat-eater, fish-eater, or vegetarian were all associated with a lower risk of all cancer (HR: 0.98, 95% CI: 0.96-1.00; 0.90, 0.84-0.96; 0.86, 0.80-0.93, respectively). Being a low meat-eater was associated with a lower risk of colorectal cancer in comparison to regular meat-eaters (0.91, 0.86-0.96); however, there was heterogeneity in this association by sex (p = 0.007), with an inverse association across diet groups in men, but not in women. Vegetarian postmenopausal women had a lower risk of breast cancer (0.82, 0.68-0.99), which was attenuated and non-significant after adjusting for body mass index (BMI; 0.87, 0.72-1.05); in mediation analyses, BMI was found to possibly mediate the observed association. In men, being a fish-eater or a vegetarian was associated with a lower risk of prostate cancer (0.80, 0.65-0.99 and 0.69, 0.54-0.89, respectively). CONCLUSION The lower risk of colorectal cancer in low meat-eaters is consistent with previous evidence suggesting an adverse impact of meat intake. The lower risk of postmenopausal breast cancer in vegetarian women may be explained by their lower BMI. It is not clear whether the other differences observed for all cancers and for prostate cancer reflect any causal relationships or are due to other factors such as residual confounding or differences in cancer detection.
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Affiliation(s)
- Cody Z Watling
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK.
| | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Yashvee Dunneram
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Rebecca K Kelly
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Anika Knuppel
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
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15
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Papier K, Hartman L, Tong TYN, Key TJ, Knuppel A. Higher Meat Intake Is Associated with Higher Inflammatory Markers, Mostly Due to Adiposity: Results from UK Biobank. J Nutr 2022; 152:183-189. [PMID: 34587250 PMCID: PMC8754571 DOI: 10.1093/jn/nxab314] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 08/09/2021] [Accepted: 08/26/2021] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND High meat consumption might play a role in promoting low-grade systemic inflammation, but evidence is limited. OBJECTIVES We examined cross-sectional associations of habitual meat consumption with serum C-reactive protein (CRP) and total white blood cell count (WBCC) in British adults. METHODS We included 403,886 men and women (aged 38-73 y) participating in the UK Biobank who provided information on meat intake (via touchscreen questionnaire) and a nonfasting blood sample at recruitment (2006-2010). For a subset of participants (∼5%), an additional blood sample was collected (median 4.4 y later). We used multivariable linear regression models to estimate associations of meat intake (total meat, unprocessed red meat, processed meat, and poultry) with logCRP and logWBCC. RESULTS The difference in the serum CRP (mg/L) for each 50-g/d higher intake for total meat was 11.6% (95% CI: 11.1, 12.0%), for processed meat was 38.3% (95% CI: 36.0, 40.7%), for unprocessed red meat was 14.4% (95% CI: 13.6, 15.1%), and for poultry was 12.8% (95% CI: 12.0, 13.5%). The difference in the WBCC (×10-9L) for each 50 g/d higher intake of total meat was 1.5% (95% CI: 1.4, 1.6%), for processed meat was 6.5% (95% CI: 6.1, 6.9%), for unprocessed red meat was 1.6% (95% CI: 1.4, 1.7%), and for poultry was 1.6% (95% CI: 1.4, 1.7%). All associations were attenuated after adjustment for adiposity; by 67% with BMI (in kg/m2) and by 58% with waist circumference for total meat and CRP, and by 53% and 47%, respectively, for WBCC, although associations remained statistically significant. Findings of sensitivity analyses in 15,420 participants were similar prospectively, except there were no associations between unprocessed red meat and WBCC. CONCLUSIONS Higher meat consumption, particularly of processed meat, was positively associated with inflammatory markers in these British adults; however, the magnitudes of associations are small and predominantly due to higher adiposity.
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Affiliation(s)
- Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Lilian Hartman
- John Radcliffe Hospital, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
- Lincoln College, University of Oxford, Oxford, United Kingdom
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Anika Knuppel
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
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Papier K, Knuppel A, Perez-Cornago A, Watts EL, Tong TYN, Schmidt JA, Allen N, Key TJ, Travis RC. Circulating insulin-like growth factor-I and risk of 25 common conditions: outcome-wide analyses in the UK Biobank study. Eur J Epidemiol 2022; 37:25-34. [PMID: 34746972 PMCID: PMC8791904 DOI: 10.1007/s10654-021-00811-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 09/24/2021] [Indexed: 11/29/2022]
Abstract
While there is strong epidemiological evidence that circulating insulin-like growth factor-I (IGF-I) is associated with a higher risk of several cancers, little is known about its association with non-cancer outcomes. We investigated associations of circulating IGF-I with risk of 25 common conditions, other than cancer, in a large British cohort. Study participants were 318,749 middle-aged adults enrolled in the UK Biobank Study. Serum IGF-I concentration was measured in samples collected at baseline (2006-2010), and re-measured in 12,334 participants after an average of 4.3 years. We followed-up participants over an average of 11.5 years by linking to hospital admissions and mortality registries. Multivariable-adjusted Cox regressions estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for associations between circulating IGF-I and 25 common conditions, using the repeated IGF-I measurements to correct for regression dilution bias. After correction for multiple testing (P < 0.002), IGF-I was positively associated with carpal tunnel syndrome (HR per 5 nmol/l higher concentration = 1.12, 95% CI 1.08-1.16), and inversely associated with varicose veins (0.90, 0.85-0.95), cataracts (0.97, 0.95-0.99), diabetes (0.92, 0.90-0.95), and iron deficiency anaemia (0.90, 0.86-0.93). The associations for cataracts and diabetes attenuated when restricted to cases diagnosed after five or more years of follow-up, suggesting that these associations were likely affected by reverse causality. Higher IGF-I concentration might be associated with the risk for several conditions, but genetic studies are needed to clarify which associations may be causal.
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Affiliation(s)
- Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford, OX3 7LF, UK.
| | - Anika Knuppel
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford, OX3 7LF, UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford, OX3 7LF, UK
| | - Eleanor L Watts
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford, OX3 7LF, UK
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford, OX3 7LF, UK
| | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford, OX3 7LF, UK
| | - Naomi Allen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford, OX3 7LF, UK
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford, OX3 7LF, UK
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Steur M, Johnson L, Sharp SJ, Imamura F, Sluijs I, Key TJ, Wood A, Chowdhury R, Guevara M, Jakobsen MU, Johansson I, Koulman A, Overvad K, Sánchez M, van der Schouw YT, Trichopoulou A, Weiderpass E, Wennberg M, Zheng J, Boeing H, Boer JMA, Boutron‐Ruault M, Ericson U, Heath AK, Huybrechts I, Imaz L, Kaaks R, Krogh V, Kühn T, Kyrø C, Masala G, Melander O, Moreno‐Iribas C, Panico S, Quirós JR, Rodríguez‐Barranco M, Sacerdote C, Santiuste C, Skeie G, Tjønneland A, Tumino R, Verschuren WMM, Zamora‐Ros R, Dahm CC, Perez‐Cornago A, Schulze MB, Tong TYN, Riboli E, Wareham NJ, Danesh J, Butterworth AS, Forouhi NG. Dietary Fatty Acids, Macronutrient Substitutions, Food Sources and Incidence of Coronary Heart Disease: Findings From the EPIC-CVD Case-Cohort Study Across Nine European Countries. J Am Heart Assoc 2021; 10:e019814. [PMID: 34796724 PMCID: PMC9075396 DOI: 10.1161/jaha.120.019814] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 06/07/2021] [Indexed: 01/12/2023]
Abstract
Background There is controversy about associations between total dietary fatty acids, their classes (saturated fatty acids [SFAs], monounsaturated fatty acids, and polyunsaturated fatty acids), and risk of coronary heart disease (CHD). Specifically, the relevance of food sources of SFAs to CHD associations is uncertain. Methods and Results We conducted a case-cohort study involving 10 529 incident CHD cases and a random subcohort of 16 730 adults selected from a cohort of 385 747 participants in 9 countries of the EPIC (European Prospective Investigation into Cancer and Nutrition) study. We estimated multivariable adjusted country-specific hazard ratios (HRs) and 95% CIs per 5% of energy intake from dietary fatty acids, with and without isocaloric macronutrient substitutions, using Prentice-weighted Cox regression models and pooled results using random-effects meta-analysis. We found no evidence for associations of the consumption of total or fatty acid classes with CHD, regardless of macronutrient substitutions. In analyses considering food sources, CHD incidence was lower per 1% higher energy intake of SFAs from yogurt (HR, 0.93 [95% CI, 0.88-0.99]), cheese (HR, 0.98 [95% CI, 0.96-1.00]), and fish (HR, 0.87 [95% CI, 0.75-1.00]), but higher for SFAs from red meat (HR, 1.07 [95% CI, 1.02-1.12]) and butter (HR, 1.02 [95% CI, 1.00-1.04]). Conclusions This observational study found no strong associations of total fatty acids, SFAs, monounsaturated fatty acids, and polyunsaturated fatty acids, with incident CHD. By contrast, we found associations of SFAs with CHD in opposite directions dependent on the food source. These findings should be further confirmed, but support public health recommendations to consider food sources alongside the macronutrients they contain, and suggest the importance of the overall food matrix.
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Sofianopoulou E, Kaptoge SK, Afzal S, Jiang T, Gill D, Gundersen TE, Bolton TR, Allara E, Arnold MG, Mason AM, Chung R, Pennells LAM, Shi F, Sun L, Willeit P, Forouhi NG, Langenberg C, Sharp SJ, Panico S, Engström G, Melander O, Tong TYN, Perez-Cornago A, Norberg M, Johansson I, Katzke V, Srour B, José Sánchez M, Redondo-Sánchez D, Olsen A, Dahm CC, Overvad K, Brustad M, Skeie G, Moreno-Iribas C, Onland-Moret NC, van der Schouw YT, Tsilidis KK, Heath AK, Agnoli C, Krogh V, de Boer IH, Kobylecki CJ, Çolak Y, Zittermann A, Sundström J, Welsh P, Weiderpass E, Aglago EK, Ferrari P, Clarke R, Boutron MC, Severi G, MacDonald C, Providencia R, Masala G, Zamora Ros R, Boer J, Verschuren WMM, Cawthon P, Schierbeck LL, Cooper C, Schulze MB, Bergmann MM, Hannemann A, Kiechl S, Brenner H, van Schoor NM, Albertorio JR, Sacerdote C, Linneberg A, Kårhus LL, Huerta JM, Imaz L, Joergensen C, Ben-Shlomo Y, Lundqvist A, Gallacher J, Sattar N, Wood AM, Wareham NJ, Nordestgaard BG, Di Angelantonio E, Danesh J, Butterworth AS, Burgess S. Estimating dose-response relationships for vitamin D with coronary heart disease, stroke, and all-cause mortality: observational and Mendelian randomisation analyses. Lancet Diabetes Endocrinol 2021; 9:837-846. [PMID: 34717822 PMCID: PMC8600124 DOI: 10.1016/s2213-8587(21)00263-1] [Citation(s) in RCA: 115] [Impact Index Per Article: 38.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 09/02/2021] [Accepted: 09/02/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND Randomised trials of vitamin D supplementation for cardiovascular disease and all-cause mortality have generally reported null findings. However, generalisability of results to individuals with low vitamin D status is unclear. We aimed to characterise dose-response relationships between 25-hydroxyvitamin D (25[OH]D) concentrations and risk of coronary heart disease, stroke, and all-cause mortality in observational and Mendelian randomisation frameworks. METHODS Observational analyses were undertaken using data from 33 prospective studies comprising 500 962 individuals with no known history of coronary heart disease or stroke at baseline. Mendelian randomisation analyses were performed in four population-based cohort studies (UK Biobank, EPIC-CVD, and two Copenhagen population-based studies) comprising 386 406 middle-aged individuals of European ancestries, including 33 546 people who developed coronary heart disease, 18 166 people who had a stroke, and 27 885 people who died. Primary outcomes were coronary heart disease, defined as fatal ischaemic heart disease (International Classification of Diseases 10th revision code I20-I25) or non-fatal myocardial infarction (I21-I23); stroke, defined as any cerebrovascular disease (I60-I69); and all-cause mortality. FINDINGS Observational analyses suggested inverse associations between incident coronary heart disease, stroke, and all-cause mortality outcomes with 25(OH)D concentration at low 25(OH)D concentrations. In population-wide genetic analyses, there were no associations of genetically-predicted 25(OH)D with coronary heart disease, stroke, or all-cause mortality. However, for the participants with vitamin D deficiency (25[OH]D concentration <25 nmol/L), genetic analyses provided strong evidence for an inverse association with all-cause mortality (odds ratio [OR] per 10 nmol/L increase in genetically-predicted 25[OH]D concentration 0·69 [95% CI 0·59-0·80]; p<0·0001) and non-significant inverse associations for stroke (0·85 [0·70-1·02], p=0·09) and coronary heart disease (0·89 [0·76-1·04]; p=0·14). A finer stratification of participants found inverse associations between genetically-predicted 25(OH)D concentrations and all-cause mortality up to around 40 nmol/L. INTERPRETATION Stratified Mendelian randomisation analyses suggest a causal relationship between 25(OH)D concentrations and mortality for individuals with low vitamin D status. Our findings have implications for the design of vitamin D supplementation trials, and potential disease prevention strategies. FUNDING British Heart Foundation, Medical Research Council, National Institute for Health Research, Health Data Research UK, Cancer Research UK, and International Agency for Research on Cancer.
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19
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Wong TY, Travis RC, Tong TYN. Blood biomarker levels by total sleep duration: cross-sectional analyses in UK Biobank. Sleep Med 2021; 88:256-261. [PMID: 34798442 DOI: 10.1016/j.sleep.2021.10.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 07/06/2021] [Revised: 10/06/2021] [Accepted: 10/13/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Short or long sleep duration has been associated with some major chronic diseases, but whether disease-related blood biomarkers vary according to habitual sleep duration is unclear. This cross-sectional study aimed to assess blood biomarker levels in relation to total sleep duration. METHODS The analysis includes 459,796 white British adults aged 40-69 during 2006-2010 in UK Biobank. At recruitment, blood samples and self-reported information on total sleep duration were collected from participants. A panel of blood biomarkers were measured. Using linear regression, we estimated geometric mean concentrations of blood biomarkers and mean ratio of ApoB/ApoA1 by sleep duration adjusted for sex, age at data collection, time of blood collection, and lifestyle covariates. RESULTS Percentage differences in the concentrations of most biomarkers by sleep duration were modest. The largest differences were for C-reactive protein (CRP, an inflammatory biomarker) and gamma glutamyltransferase (GGT, a liver function biomarker), and the differences were markedly attenuated after multivariable-adjustment. The multivariable-adjusted geometric means of CRP and of GGT were 14% and 14% higher in <6 h vs 7-8 h of sleep; and 22% and 12% higher in >9 h vs 7-8 h of sleep, respectively. CONCLUSION In white British adults, most blood biomarker levels varied only modestly with sleep duration and the remaining associations may be due to residual confounding.
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Affiliation(s)
- T Y Wong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
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20
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Laine JE, Huybrechts I, Gunter MJ, Ferrari P, Weiderpass E, Tsilidis K, Aune D, Schulze MB, Bergmann M, Temme EHM, Boer JMA, Agnoli C, Ericson U, Stubbendorff A, Ibsen DB, Dahm CC, Deschasaux M, Touvier M, Kesse-Guyot E, Sánchez Pérez MJ, Rodríguez Barranco M, Tong TYN, Papier K, Knuppel A, Boutron-Ruault MC, Mancini F, Severi G, Srour B, Kühn T, Masala G, Agudo A, Skeie G, Rylander C, Sandanger TM, Riboli E, Vineis P. Co-benefits from sustainable dietary shifts for population and environmental health: an assessment from a large European cohort study. Lancet Planet Health 2021; 5:e786-e796. [PMID: 34688354 PMCID: PMC8581185 DOI: 10.1016/s2542-5196(21)00250-3] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 07/08/2021] [Accepted: 08/20/2021] [Indexed: 05/26/2023]
Abstract
BACKGROUND Unhealthy diets, the rise of non-communicable diseases, and the declining health of the planet are highly intertwined, where food production and consumption are major drivers of increases in greenhouse gas emissions, substantial land use, and adverse health such as cancer and mortality. To assess the potential co-benefits from shifting to more sustainable diets, we aimed to investigate the associations of dietary greenhouse gas emissions and land use with all-cause and cause-specific mortality and cancer incidence rates. METHODS Using data from 443 991 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) study, a multicentre prospective cohort, we estimated associations between dietary contributions to greenhouse gas emissions and land use and all-cause and cause-specific mortality and incident cancers using Cox proportional hazards regression models. The main exposures were modelled as quartiles. Co-benefits, encompassing the potential effects of alternative diets on all-cause mortality and cancer and potential reductions in greenhouse gas emissions and land use, were estimated with counterfactual attributable fraction intervention models, simulating potential effects of dietary shifts based on the EAT-Lancet reference diet. FINDINGS In the pooled analysis, there was an association between levels of dietary greenhouse gas emissions and all-cause mortality (adjusted hazard ratio [HR] 1·13 [95% CI 1·10-1·16]) and between land use and all-cause mortality (1·18 [1·15-1·21]) when comparing the fourth quartile to the first quartile. Similar associations were observed for cause-specific mortality. Associations were also observed between all-cause cancer incidence rates and greenhouse gas emissions, when comparing the fourth quartile to the first quartile (adjusted HR 1·11 [95% CI 1·09-1·14]) and between all-cause cancer incidence rates and land use (1·13 [1·10-1·15]); however, estimates differed by cancer type. Through counterfactual attributable fraction modelling of shifts in levels of adherence to the EAT-Lancet diet, we estimated that up to 19-63% of deaths and up to 10-39% of cancers could be prevented, in a 20-year risk period, by different levels of adherence to the EAT-Lancet reference diet. Additionally, switching from lower adherence to the EAT-Lancet reference diet to higher adherence could potentially reduce food-associated greenhouse gas emissions up to 50% and land use up to 62%. INTERPRETATION Our results indicate that shifts towards universally sustainable diets could lead to co-benefits, such as minimising diet-related greenhouse gas emissions and land use, reducing the environmental footprint, aiding in climate change mitigation, and improving population health. FUNDING European Commission (DG-SANCO), the International Agency for Research on Cancer (IARC), MRC Early Career Fellowship (MR/M501669/1).
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Affiliation(s)
- Jessica E Laine
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; Institute for Social and Preventive Medicine, University of Bern, Bern, Switzerland; Department of Epidemiology and Biostatistics, Faculty of Medicine, School of Public Health, Imperial College London, London, UK.
| | | | - Marc J Gunter
- International Agency for Research on Cancer, Lyon, France
| | - Pietro Ferrari
- International Agency for Research on Cancer, Lyon, France
| | | | - Kostas Tsilidis
- Department of Epidemiology and Biostatistics, Faculty of Medicine, School of Public Health, Imperial College London, London, UK
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, Faculty of Medicine, School of Public Health, Imperial College London, London, UK; Department of Nutrition, Bjørknes University College, Oslo, Norway; Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Ullevål, Oslo, Norway
| | - Matthias B Schulze
- Institute of Nutritional Sciences, University of Potsdam, Nuthetal, Germany
| | - Manuela Bergmann
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Elisabeth H M Temme
- Centre for Nutrition, Prevention and Health Services National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Jolanda M A Boer
- Centre for Nutrition, Prevention and Health Services National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Claudia Agnoli
- Epidemiology and Prevention Unit Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy
| | - Ulrika Ericson
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | | | - Daniel B Ibsen
- Research Unit for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
| | | | - Mélanie Deschasaux
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Mathilde Touvier
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Emmanuelle Kesse-Guyot
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Maria-Jose Sánchez Pérez
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Miguel Rodríguez Barranco
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Anika Knuppel
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | - Francesca Mancini
- CESP, Faculté de médecine, Université Paris-Saclay, UVSQ, INSERM, 94805, Villejuif, France
| | - Gianluca Severi
- CESP, Faculté de médecine, Université Paris-Saclay, UVSQ, INSERM, 94805, Villejuif, France; Gustave Roussy, F-94805, Villejuif, France; Department of Statistics, Computer Science and Applications "G. Parenti", University of Florence, Florence, Italy
| | - Bernard Srour
- Division of Cancer Epidemiology, German Cancer Rsearch Center Heidelberg, Heidelberg, Germany
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Rsearch Center Heidelberg, Heidelberg, Germany
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network - ISPRO, Florence, Italy
| | - Antonio Agudo
- Unit of Nutrition and Cancer, Catalan Institute of Oncology - ICO, Nutrition and Cancer Group, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Guri Skeie
- Department of Community Medicine, UiT the Arctic University of Norway, Tromsø, Norway
| | - Charlotta Rylander
- Department of Community Medicine, UiT the Arctic University of Norway, Tromsø, Norway
| | - Torkjel M Sandanger
- Department of Community Medicine, UiT the Arctic University of Norway, Tromsø, Norway
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, Faculty of Medicine, School of Public Health, Imperial College London, London, UK
| | - Paolo Vineis
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; Department of Epidemiology and Biostatistics, Faculty of Medicine, School of Public Health, Imperial College London, London, UK; Italian Institute of Technology, Genova, Italy
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21
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Kelly RK, Tong TYN, Guasch-Ferre M, Papier K, Piernas C, Fensom GK, Carter JL, Key TJ, Perez-Cornago A. Associations between saturated fatty acids from different dietary sources and cardiovascular disease risk in 114,285 UK Biobank study participants. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.2418] [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: 11/12/2022] Open
Abstract
Abstract
Background
Previous studies suggest that different foods rich in saturated fatty acids (SFA), particularly meat and dairy, have diverging directions of association with risks of total cardiovascular disease (CVD) and CVD subtypes.(1,2)
Purpose
To investigate the associations between SFA from different dietary sources and risks of total CVD, ischaemic heart disease (IHD), and stroke.
Methods
We analysed data on 114,285 UK Biobank participants who had completed ≥2 24-h dietary assessments and were free of CVD at the date of the latest 24-h dietary assessment. Risks of incident (non-fatal and fatal) total CVD, IHD and stroke by intakes of SFA from different sources were estimated using multivariable Cox regressions. Additional models assessed the role of body mass index (BMI) and low-density lipoprotein cholesterol (LDL-C) as potential mediators. We also estimated the associations between modelled isoenergetic substitution of 5% energy from SFA from meat with SFA from dairy, polyunsaturated fatty acids, monounsaturated fatty acids, carbohydrates from whole grains and carbohydrates from fruit and vegetables, and risk of CVD outcomes. A false discovery rate controlling procedure was used to account for multiple testing.
Results
Over a median 8.5 years of follow-up, there were 4,365, 3,394, and 1,041 cases of total CVD, IHD and stroke, respectively. There were no significant associations between total SFA intake and CVD outcomes. SFA from meat was positively associated with total CVD (hazard ratio for each 5% of energy, 1.19; 95% CI, 1.05–1.35) and IHD (1.21; 1.05–1.39) risk independently of lifestyle and cardiovascular risk factors. However, the estimates were attenuated and non-significant for both total CVD (1.11; 0.98–1.26) and IHD (1.12; 0.97–1.29) after adjustment for BMI. SFA from dairy was inversely associated with IHD risk (0.89; 0.82–0.96) in the multivariable model, however this finding was also attenuated after adjustment for BMI and did not pass correction for multiple testing (0.91; 0.84 to 0.98). Modelled replacement of 5% of energy from SFA from meat with carbohydrates from whole grains or carbohydrates from fruit and vegetables were associated with lower risk of stroke in the multivariable model (0.86; 0.78–0.94 & 0.86; 0.78–0.95, respectively) and the model adjusted for BMI and LDL-C (0.87; 0.79–0.96 & 0.86; 0.78–0.95, respectively).
Conclusion(s)
SFA from meat was associated with a higher risk of total CVD and IHD, while SFA from dairy was associated with lower risk of IHD, although BMI seemed to account for a large proportion of these associations. It is possible that diverging associations of SFA from different sources with CVD risk may explain the overall null association with total SFA observed in this study and some previous observational studies. Randomised controlled trials are needed to confirm whether replacing SFA from meat by carbohydrate from wholegrains or fruit and vegetables may be beneficial in reducing stroke risk.
Funding Acknowledgement
Type of funding sources: Public Institution(s). Main funding source(s): Clarendon Fund and Jesus College Clarendon Old Members' AwardJesus College Graduate Scholarship
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Affiliation(s)
- R K Kelly
- University of Oxford, Nuffield Department of Population Health, Oxford, United Kingdom
| | - T Y N Tong
- University of Oxford, Nuffield Department of Population Health, Oxford, United Kingdom
| | - M Guasch-Ferre
- Harvard T. H. Chan School of Public Health, Department of Nutrition, Boston, United States of America
| | - K Papier
- University of Oxford, Nuffield Department of Population Health, Oxford, United Kingdom
| | - C Piernas
- University of Oxford, Nuffield Department of Primary Care Health Sciences, Oxford, United Kingdom
| | - G K Fensom
- University of Oxford, Nuffield Department of Population Health, Oxford, United Kingdom
| | - J L Carter
- University of Oxford, Nuffield Department of Population Health, Oxford, United Kingdom
| | - T J Key
- University of Oxford, Nuffield Department of Population Health, Oxford, United Kingdom
| | - A Perez-Cornago
- University of Oxford, Nuffield Department of Population Health, Oxford, United Kingdom
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22
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Tong TYN, Perez-Cornago A, Bradbury KE, Key TJ. Biomarker Concentrations in White and British Indian Vegetarians and Nonvegetarians in the UK Biobank. J Nutr 2021; 151:3168-3179. [PMID: 34132352 PMCID: PMC8485916 DOI: 10.1093/jn/nxab192] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 04/19/2021] [Accepted: 05/20/2021] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Prospective studies have shown differences in some disease risks between vegetarians and nonvegetarians, but the potential biological pathways are not well understood. OBJECTIVES We aimed to assess differences in concentrations of biomarkers related to disease pathways in people with varying degrees of animal foods exclusion. METHODS The UK Biobank recruited 500,000 participants aged 40-69 y (54.4% women) throughout the United Kingdom in 2006-2010. Blood and urine were collected at recruitment and assayed for more than 30 biomarkers related to cardiovascular diseases, bone and joint health, cancer, diabetes, renal disease, and liver health. In cross-sectional analyses, we estimated adjusted geometric means of these biomarkers by 6 diet groups (regular meat eaters, low meat eaters, poultry eaters, fish eaters, vegetarians, vegans) in 466,058 white British participants and 2 diet groups (meat eaters, vegetarians) in 5535 British Indian participants. RESULTS We observed differences in the concentrations of most biomarkers, with many biomarkers showing a gradient effect from meat eaters to vegetarians/vegans. Of the largest differences, compared with white British regular meat eaters, white British vegans had lower C-reactive protein [adjusted geometric mean (95% CI): 1.13 (1.03, 1.25) compared with 1.43 (1.42, 1.43) mg/L], lower low-density lipoprotein cholesterol [3.13 (3.07, 3.20) compared with 3.65 (3.65, 3.65) mmol/L], lower vitamin D [34.4 (33.1, 35.9) compared with 44.5 (44.4, 44.5) nmol/L], lower serum urea [4.21 (4.11, 4.30) compared with 5.36 (5.36, 5.37) mmol/L], lower urinary creatinine [5440 (5120, 5770) compared with 7280 (7260, 7300) μmol/L], and lower γ-glutamyltransferase [23.5 (22.2, 24.8) compared with 29.6 (29.6, 29.7) U/L]. Patterns were mostly similar in British Indians, and results were consistent between women and men. CONCLUSIONS The observed differences in biomarker concentrations, including lower C-reactive protein, lower LDL cholesterol, lower vitamin D, lower creatinine, and lower γ-glutamyltransferase, in vegetarians and vegans may relate to differences in future disease risk.
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Affiliation(s)
- Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Kathryn E Bradbury
- National Institute for Health Innovation, School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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23
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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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24
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Watling CZ, Kelly RK, Tong TYN, Piernas C, Watts EL, Tin Tin S, Knuppel A, Schmidt JA, Travis RC, Key TJ, Perez-Cornago A. Associations of circulating insulin-like growth factor-I with intake of dietary proteins and other macronutrients. Clin Nutr 2021; 40:4685-4693. [PMID: 34237695 PMCID: PMC8345002 DOI: 10.1016/j.clnu.2021.04.021] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [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: 11/20/2020] [Revised: 03/12/2021] [Accepted: 04/10/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND & AIMS Circulating insulin-like growth factor-I (IGF-I) is associated with the risk of several cancers. Dietary protein intake, particularly dairy protein, may increase circulating IGF-I; however, associations with different protein sources, other macronutrients, and fibre are inconclusive. To investigate the associations between intake of protein, macronutrients and their sources, fibre, and alcohol with serum IGF-I concentrations. METHODS A total of 11,815 participants from UK Biobank who completed ≥4 24-h dietary assessments and had serum IGF-I concentrations measured at baseline were included. Multivariable linear regression was used to assess the cross-sectional associations of macronutrient and fibre intake with circulating IGF-I concentrations. RESULTS Circulating IGF-I concentrations were positively associated with intake of total protein (per 2.5% higher energy intake: 0.56 nmol/L (95% confidence interval: 0.47, 0.66)), milk protein: 1.20 nmol/L (0.90, 1.51), and yogurt protein: 1.33 nmol/L (0.79, 1.86), but not with cheese protein: -0.07 nmol/L (-0.40, 0.25). IGF-I concentrations were also positively associated with intake of fibre (per 5 g/day higher intake: 0.46 nmol/L (0.35, 0.57)) and starch from wholegrains (Q5 vs. Q1: 1.08 nmol/L (0.77, 1.39)), and inversely associated with alcohol consumption (>40 g/day vs <1 g/day: -1.36 nmol/L (-1.00, -1.71)). CONCLUSIONS These results show differing associations with IGF-I concentrations depending on the source of dairy protein, with positive associations with milk and yogurt protein intake but no association with cheese protein. The positive association of fibre and starch from wholegrains with IGF-I warrants further investigation.
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Affiliation(s)
- Cody Z Watling
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
| | - Rebecca K Kelly
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Carmen Piernas
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Eleanor L Watts
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Sandar Tin Tin
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Anika Knuppel
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
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25
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Papier K, Fensom GK, Knuppel A, Appleby PN, Tong TYN, Schmidt JA, Travis RC, Key TJ, Perez-Cornago A. Meat consumption and risk of 25 common conditions: outcome-wide analyses in 475,000 men and women in the UK Biobank study. BMC Med 2021; 19:53. [PMID: 33648505 PMCID: PMC7923515 DOI: 10.1186/s12916-021-01922-9] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [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: 08/26/2020] [Accepted: 01/20/2021] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND There is limited prospective evidence on the association between meat consumption and many common, non-cancerous health outcomes. We examined associations of meat intake with risk of 25 common conditions (other than cancer). METHODS We used data from 474,985 middle-aged adults recruited into the UK Biobank study between 2006 and 2010 and followed up until 2017 (mean follow-up 8.0 years) with available information on meat intake at baseline (collected via touchscreen questionnaire), and linked hospital admissions and mortality data. For a large sub-sample (~ 69,000), dietary intakes were re-measured three or more times using an online, 24-h recall questionnaire. RESULTS On average, participants who reported consuming meat regularly (three or more times per week) had more adverse health behaviours and characteristics than participants who consumed meat less regularly, and most of the positive associations observed for meat consumption and health risks were substantially attenuated after adjustment for body mass index (BMI). In multi-variable adjusted (including BMI) Cox regression models corrected for multiple testing, higher consumption of unprocessed red and processed meat combined was associated with higher risks of ischaemic heart disease (hazard ratio (HRs) per 70 g/day higher intake 1.15, 95% confidence intervals (CIs) 1.07-1.23), pneumonia (1.31, 1.18-1.44), diverticular disease (1.19, 1.11-1.28), colon polyps (1.10, 1.06-1.15), and diabetes (1.30, 1.20-1.42); results were similar for unprocessed red meat and processed meat intakes separately. Higher consumption of unprocessed red meat alone was associated with a lower risk of iron deficiency anaemia (IDA: HR per 50 g/day higher intake 0.80, 95% CIs 0.72-0.90). Higher poultry meat intake was associated with higher risks of gastro-oesophageal reflux disease (HR per 30 g/day higher intake 1.17, 95% CIs 1.09-1.26), gastritis and duodenitis (1.12, 1.05-1.18), diverticular disease (1.10, 1.04-1.17), gallbladder disease (1.11, 1.04-1.19), and diabetes (1.14, 1.07-1.21), and a lower IDA risk (0.83, 0.76-0.90). CONCLUSIONS Higher unprocessed red meat, processed meat, and poultry meat consumption was associated with higher risks of several common conditions; higher BMI accounted for a substantial proportion of these increased risks suggesting that residual confounding or mediation by adiposity might account for some of these remaining associations. Higher unprocessed red meat and poultry meat consumption was associated with lower IDA risk.
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Affiliation(s)
- Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK.
| | - Georgina K Fensom
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
- Department of International Development, University of Oxford, 3 Mansfield Rd, Oxford, OX1 3TB, UK
| | - Anika Knuppel
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Paul N Appleby
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
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26
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Wong ATY, Heath AK, Tong TYN, Reeves GK, Floud S, Beral V, Travis RC. Sleep duration and breast cancer incidence: results from the Million Women Study and meta-analysis of published prospective studies. Sleep 2021; 44:zsaa166. [PMID: 32886784 PMCID: PMC7879408 DOI: 10.1093/sleep/zsaa166] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [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: 05/20/2020] [Revised: 08/10/2020] [Indexed: 01/05/2023] Open
Abstract
STUDY OBJECTIVES To investigate the association between sleep duration and breast cancer incidence, we examined the association in a large UK prospective study and conducted a meta-analysis of prospective studies. METHODS In the Million Women Study, usual sleep duration over a 24-h period was collected in 2001 for 713,150 participants without prior cancer, heart problems, stroke, or diabetes (mean age = 60 years). Follow-up for breast cancer was by record linkage to national cancer registry data for 14.3 years on average from the 3-year resurvey. Cox regression models yielded multivariable-adjusted breast cancer relative risks (RR) and 95% confidence intervals (CIs) for sleep duration categories. Published prospective studies of sleep duration and breast cancer risk were included in a meta-analysis, which estimated the inverse-variance weighted average of study-specific log RRs for short and for long versus average duration sleep. RESULTS After excluding the first 5 years to minimize reverse causation bias in the Million Women Study, 24,476 women developed breast cancer. Compared with 7-8 h of sleep, the RRs for <6, 6, 9, and >9 h of sleep were 1.01 (95% CI, 0.95-1.07), 0.99 (0.96-1.03), 1.01 (0.96-1.06), and 1.03 (0.95-1.12), respectively. In a meta-analysis of 14 prospective studies plus the Million Women Study, including 65,410 breast cancer cases, neither short (RR < 7 h = 0.99 [0.98-1.01]) nor long (RR > 8 h = 1.01 [0.98-1.04]) versus average duration sleep was associated with breast cancer risk. CONCLUSIONS The totality of the prospective evidence does not support an association between sleep duration and breast cancer risk.
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Affiliation(s)
- Angel T Y Wong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Alicia K Heath
- School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Gillian K Reeves
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Sarah Floud
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Valerie Beral
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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27
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Zamora-Ros R, Lujan-Barroso L, Achaintre D, Franceschi S, Kyrø C, Overvad K, Tjønneland A, Truong T, Lecuyer L, Boutron-Ruault MC, Katzke V, Johnson TS, Schulze MB, Trichopoulou A, Peppa E, La Vechia C, Masala G, Pala V, Panico S, Tumino R, Ricceri F, Skeie G, Quirós JR, Rodriguez-Barranco M, Amiano P, Chirlaque MD, Ardanaz E, Almquist M, Hennings J, Vermeulen R, Wareham NJ, Tong TYN, Aune D, Byrnes G, Weiderpass E, Scalbert A, Rinaldi S, Agudo A. Blood polyphenol concentrations and differentiated thyroid carcinoma in women from the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Am J Clin Nutr 2021; 113:162-171. [PMID: 33021645 PMCID: PMC7779226 DOI: 10.1093/ajcn/nqaa277] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 09/07/2020] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Polyphenols are natural compounds with anticarcinogenic properties in cellular and animal models, but epidemiological evidence determining the associations of these compounds with thyroid cancer (TC) is lacking. OBJECTIVES The aim of this study was to evaluate the relations between blood concentrations of 36 polyphenols and TC risk in EPIC (the European Prospective Investigation into Cancer and Nutrition). METHODS A nested case-control study was conducted on 273 female cases (210 papillary, 45 follicular, and 18 not otherwise specified TC tumors) and 512 strictly matched controls. Blood polyphenol concentrations were analyzed by HPLC coupled to tandem MS after enzymatic hydrolysis. RESULTS Using multivariable-adjusted conditional logistic regression models, caffeic acid (ORlog2: 0.55; 95% CI: 0.33, 0.93) and its dehydrogenated metabolite, 3,4-dihydroxyphenylpropionic acid (ORlog2: 0.84; 95% CI: 0.71, 0.99), were inversely associated with differentiated TC risk. Similar results were observed for papillary TC, but not for follicular TC. Ferulic acid was also inversely associated only with papillary TC (ORlog2: 0.68; 95% CI: 0.51, 0.91). However, none of these relations was significant after Bonferroni correction for multiple testing. No association was observed for any of the remaining polyphenols with total differentiated, papillary, or follicular TC. CONCLUSIONS Blood polyphenol concentrations were mostly not associated with differentiated TC risk in women, although our study raises the possibility that high blood concentrations of caffeic, 3,4-dihydroxyphenylpropionic, and ferulic acids may be related to a lower papillary TC risk.
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Affiliation(s)
- Raul Zamora-Ros
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | - Leila Lujan-Barroso
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | - David Achaintre
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Silvia Franceschi
- Oncology Referral Center (CRO), Aviano National Cancer Institute, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Aviano, Italy
| | - Cecilie Kyrø
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Therese Truong
- Versailles Saint-Quentin-en-Yvelines University (UVSQ), Université Paris-Saclay, Institut National de la Santé et de la Recherche Médicale, Centre for Research in Epidemiology and Population Health (CESP), Villejuif, France
- Gustave Roussy, Villejuif, France
| | - Lucie Lecuyer
- Versailles Saint-Quentin-en-Yvelines University (UVSQ), Université Paris-Saclay, Institut National de la Santé et de la Recherche Médicale, Centre for Research in Epidemiology and Population Health (CESP), Villejuif, France
- Gustave Roussy, Villejuif, France
| | - Marie-Christine Boutron-Ruault
- Versailles Saint-Quentin-en-Yvelines University (UVSQ), Université Paris-Saclay, Institut National de la Santé et de la Recherche Médicale, Centre for Research in Epidemiology and Population Health (CESP), Villejuif, France
- Gustave Roussy, Villejuif, France
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Theron S Johnson
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Sciences, University of Potsdam, Nuthetal, Germany
| | | | | | - Carlo La Vechia
- Hellenic Health Foundation, Athens, Greece
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Giovanna Masala
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network—ISPRO, Florence, Italy
| | - Valeria Pala
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Salvatore Panico
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, “Civic—MP Arezzo” Hospital, ASP Ragusa, Ragusa, Italy
| | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
- Unit of Epidemiology, Regional Health Service ASL TO3, Grugliasco, Turin, Italy
| | - Guri Skeie
- Department of Community Medicine, UiT the Arctic University of Norway, Tromsø, Norway
| | | | - Miguel Rodriguez-Barranco
- Andalusian School of Public Health, Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Pilar Amiano
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, Donostia-San Sebastian, Spain
| | - María-Dolores Chirlaque
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, Instituto Murciano de Investigación Biosanitaria (IMIB)-Arrixaca, Murcia, Spain
| | - Eva Ardanaz
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Martin Almquist
- Department of Surgery, Endocrine-Sarcoma Unit, Skåne University Hospital, Lund, Sweden
| | - Joakim Hennings
- Department of Surgical and Perioperative Sciences, Umeå University, Umeå, Sweden
| | - Roel Vermeulen
- Institute of Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
- Department of Public Health, University Medical Center Utrecht, Utrecht, Netherlands
| | - Nicholas J Wareham
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Nutrition, Bjørknes University College, Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Graham Byrnes
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | | | - Augustin Scalbert
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Sabina Rinaldi
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Antonio Agudo
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
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Tong TYN, Appleby PN, Armstrong MEG, Fensom GK, Knuppel A, Papier K, Perez-Cornago A, Travis RC, Key TJ. Vegetarian and vegan diets and risks of total and site-specific fractures: results from the prospective EPIC-Oxford study. BMC Med 2020; 18:353. [PMID: 33222682 PMCID: PMC7682057 DOI: 10.1186/s12916-020-01815-3] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [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: 07/24/2020] [Accepted: 10/14/2020] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND There is limited prospective evidence on possible differences in fracture risks between vegetarians, vegans, and non-vegetarians. We aimed to study this in a prospective cohort with a large proportion of non-meat eaters. METHODS In EPIC-Oxford, dietary information was collected at baseline (1993-2001) and at follow-up (≈ 2010). Participants were categorised into four diet groups at both time points (with 29,380 meat eaters, 8037 fish eaters, 15,499 vegetarians, and 1982 vegans at baseline in analyses of total fractures). Outcomes were identified through linkage to hospital records or death certificates until mid-2016. Using multivariable Cox regression, we estimated the risks of total (n = 3941) and site-specific fractures (arm, n = 566; wrist, n = 889; hip, n = 945; leg, n = 366; ankle, n = 520; other main sites, i.e. clavicle, rib, and vertebra, n = 467) by diet group over an average of 17.6 years of follow-up. RESULTS Compared with meat eaters and after adjustment for socio-economic factors, lifestyle confounders, and body mass index (BMI), the risks of hip fracture were higher in fish eaters (hazard ratio 1.26; 95% CI 1.02-1.54), vegetarians (1.25; 1.04-1.50), and vegans (2.31; 1.66-3.22), equivalent to rate differences of 2.9 (0.6-5.7), 2.9 (0.9-5.2), and 14.9 (7.9-24.5) more cases for every 1000 people over 10 years, respectively. The vegans also had higher risks of total (1.43; 1.20-1.70), leg (2.05; 1.23-3.41), and other main site fractures (1.59; 1.02-2.50) than meat eaters. Overall, the significant associations appeared to be stronger without adjustment for BMI and were slightly attenuated but remained significant with additional adjustment for dietary calcium and/or total protein. No significant differences were observed in risks of wrist or ankle fractures by diet group with or without BMI adjustment, nor for arm fractures after BMI adjustment. CONCLUSIONS Non-meat eaters, especially vegans, had higher risks of either total or some site-specific fractures, particularly hip fractures. This is the first prospective study of diet group with both total and multiple specific fracture sites in vegetarians and vegans, and the findings suggest that bone health in vegans requires further research.
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Affiliation(s)
- Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK.
| | - Paul N Appleby
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Miranda E G Armstrong
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
| | - Georgina K Fensom
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Anika Knuppel
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
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29
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Wong ATY, Fensom GK, Key TJ, Onland-Moret NC, Tong TYN, Travis RC. Urinary Melatonin in Relation to Breast Cancer Risk: Nested Case-Control Analysis in the DOM Study and Meta-analysis of Prospective Studies. Cancer Epidemiol Biomarkers Prev 2020; 30:97-103. [PMID: 33144281 DOI: 10.1158/1055-9965.epi-20-0822] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 09/04/2020] [Accepted: 10/16/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Exposure to higher levels of melatonin may be associated with lower breast cancer risk, but epidemiologic evidence has been limited. We examined the relationship in a case-control study nested within the Diagnostisch Onderzoek Mammacarcinoom (DOM) study and conducted a meta-analysis of prospective studies. METHODS Concentrations of 6-sulfatoxymelatonin (aMT6s) in prediagnostic first morning urine voids were measured in 274 postmenopausal women diagnosed with breast cancer and 274 matched controls from the DOM study. Conditional logistic regression models were used to estimate multivariable adjusted ORs of breast cancer for thirds of aMT6s. Meta-analysis of this and previous prospective studies of urinary melatonin with breast cancer risk estimated the inverse-variance weighted averages of study-specific log RRs of breast cancer for the highest versus lowest levels of aMT6s. RESULTS In the DOM study, the ORs of breast cancer for the middle and highest versus lowest thirds of aMT6s were 0.70 [95% confidence interval (CI), 0.45-1.09] and 0.72 (95% CI, 0.44-1.19), respectively. In the meta-analysis of the DOM study with six previous studies (2,296 cases), RR of breast cancer for the highest versus lowest levels of aMT6s was 0.87 (95% CI, 0.76-1.01). CONCLUSIONS Results from the DOM study, together with the published prospective data, do not support a strong association of melatonin with breast cancer risk. IMPACT This study adds to the relatively scarce prospective data on melatonin in relation to breast cancer risk. The totality of the prospective evidence does not clearly show an association between melatonin and breast cancer risk, but further data are needed to be able to exclude a modest association.
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Affiliation(s)
- Angel T Y Wong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England, United Kingdom.
| | - Georgina K Fensom
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England, United Kingdom
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England, United Kingdom
| | | | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England, United Kingdom
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England, United Kingdom
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30
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Ibsen DB, Steur M, Imamura F, Overvad K, Schulze MB, Bendinelli B, Guevara M, Agudo A, Amiano P, Aune D, Barricarte A, Ericson U, Fagherazzi G, Franks PW, Freisling H, Quiros JR, Grioni S, Heath AK, Huybrechts I, Katze V, Laouali N, Mancini F, Masala G, Olsen A, Papier K, Ramne S, Rolandsson O, Sacerdote C, Sánchez MJ, Santiuste C, Simeon V, Spijkerman AMW, Srour B, Tjønneland A, Tong TYN, Tumino R, van der Schouw YT, Weiderpass E, Wittenbecher C, Sharp SJ, Riboli E, Forouhi NG, Wareham NJ. Replacement of Red and Processed Meat With Other Food Sources of Protein and the Risk of Type 2 Diabetes in European Populations: The EPIC-InterAct Study. Diabetes Care 2020; 43:2660-2667. [PMID: 32868270 PMCID: PMC7576430 DOI: 10.2337/dc20-1038] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 07/24/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE There is sparse evidence for the association of suitable food substitutions for red and processed meat on the risk of type 2 diabetes. We modeled the association between replacing red and processed meat with other protein sources and the risk of type 2 diabetes and estimated its population impact. RESEARCH DESIGN AND METHODS The European Prospective Investigation into Cancer (EPIC)-InterAct case cohort included 11,741 individuals with type 2 diabetes and a subcohort of 15,450 participants in eight countries. We modeled the replacement of self-reported red and processed meat with poultry, fish, eggs, legumes, cheese, cereals, yogurt, milk, and nuts. Country-specific hazard ratios (HRs) for incident type 2 diabetes were estimated by Prentice-weighted Cox regression and pooled using random-effects meta-analysis. RESULTS There was a lower hazard for type 2 diabetes for the modeled replacement of red and processed meat (50 g/day) with cheese (HR 0.90, 95% CI 0.83-0.97) (30 g/day), yogurt (0.90, 0.86-0.95) (70 g/day), nuts (0.90, 0.84-0.96) (10 g/day), or cereals (0.92, 0.88-0.96) (30 g/day) but not for replacements with poultry, fish, eggs, legumes, or milk. If a causal association is assumed, replacing red and processed meat with cheese, yogurt, or nuts could prevent 8.8%, 8.3%, or 7.5%, respectively, of new cases of type 2 diabetes. CONCLUSIONS Replacement of red and processed meat with cheese, yogurt, nuts, or cereals was associated with a lower rate of type 2 diabetes. Substituting red and processed meat by other protein sources may contribute to the prevention of incident type 2 diabetes in European populations.
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Affiliation(s)
- Daniel B Ibsen
- Research Unit for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - Marinka Steur
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - Kim Overvad
- Research Unit for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Nutritional Sciences, University of Potsdam, Nuthetal, Germany
| | - Benedetta Bendinelli
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Marcela Guevara
- Navarre Public Health Institute, Pamplona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Antonio Agudo
- Unit of Nutrition and Cancer, Catalan Institute of Oncology (ICO), and Nutrition and Cancer Group, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Pilar Amiano
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Public Health Division of Gipuzkoa, San Sebastian, Spain
- Instituto Biodonostia, Basque Government, San Sebastian, Spain
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K
- Department of Nutrition, Bjørknes University College, Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital Ullevål, Oslo, Norway
| | | | - Ulrika Ericson
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Guy Fagherazzi
- Digital Epidemiology and e-Health Research Hub, Department of Population Health, Luxembourg Institute of Health, Luxembourg
- Center of Epidemiology and Population Health, UMR 1018, INSERM, Paris South-Paris Saclay University, Gustave Roussy Institute, Villejuif, France
| | | | - Heinz Freisling
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | | | - Sara Grioni
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K
| | - Inge Huybrechts
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Verena Katze
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Nasser Laouali
- Center of Epidemiology and Population Health, UMR 1018, INSERM, Paris South-Paris Saclay University, Gustave Roussy Institute, Villejuif, France
| | - Francesca Mancini
- Center of Epidemiology and Population Health, UMR 1018, INSERM, Paris South-Paris Saclay University, Gustave Roussy Institute, Villejuif, France
| | - Giovanna Masala
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Anja Olsen
- Research Unit for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, U.K
| | - Stina Ramne
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Olov Rolandsson
- Family Medicine, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino and Center for Cancer Prevention (CPO), Turin, Italy
| | - Maria-José Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Escuela Andaluza de Salud Pública, Granada, Spain
- Instituto de Investigación Biosanitaria ibs. Granada, Granada, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Carmen Santiuste
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Authority, IMIB-Arrixaca, Murcia, Spain
| | - Vittorio Simeon
- Department of Mental and Physical Health and Preventive Medicine, University of Campania Luigi Vanvitelli, Naples, Italy
| | | | - Bernard Srour
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, U.K
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Azienda Sanitaria Provinciale, Ragusa, Italy
- Associazone Iblea per la Ricerca Epidemiologica - Organizazione Non Lucrativa di Utilità Sociale (AIRE-ONLUS), Ragusa, Italy
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Clemens Wittenbecher
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Stephen J Sharp
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K.
| | - Nick J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
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31
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Knuppel A, Papier K, Fensom GK, Appleby PN, Schmidt JA, Tong TYN, Travis RC, Key TJ, Perez-Cornago A. Meat intake and cancer risk: prospective analyses in UK Biobank. Int J Epidemiol 2020; 49:1540-1552. [PMID: 32814947 DOI: 10.1093/ije/dyaa142] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/13/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Red and processed meat have been consistently associated with colorectal cancer risk, but evidence for other cancer sites and for poultry intake is limited. We therefore examined associations between total, red and processed meat and poultry intake and incidence for 20 common cancers. METHODS We analyzed data from 474 996 participants (54% women) in UK Biobank. Participants were aged 37-73 years and cancer-free at baseline (2006-10). Multivariable-adjusted Cox proportional hazards models were used to determine associations between baseline meat intake and cancer incidence. Trends in risk across the baseline categories were calculated, assigning re-measured intakes from a subsample. RESULTS During a mean follow-up of 6.9 years, 28 955 participants were diagnosed with malignant cancer. After correction for multiple testing, red and processed meat combined, and processed meat, were each positively associated with colorectal cancer risk [hazard ratio (HR) per 70 g/day higher intake of red and processed meat 1.32, 95% confidence interval 1.14-1.53; HR per 20 g/day higher intake of processed meat 1.18, 1.03-1.31] and red meat was associated with colon cancer risk (HR per 50 g/day higher intake of red meat 1.36, 1.13-1.64). Positive associations of red meat intake with colorectal and prostate cancer, processed meat intake with rectal cancer and poultry intake with cancers of the lymphatic and haematopoietic tissues did not survive multiple testing. CONCLUSIONS Higher intake of red and processed meat was specifically associated with a higher risk of colorectal cancer; there was little evidence that meat intake was associated with risk of other cancers.
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Affiliation(s)
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Georgina K Fensom
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Paul N Appleby
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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32
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Zheng JS, Luan J, Sofianopoulou E, Sharp SJ, Day FR, Imamura F, Gundersen TE, Lotta LA, Sluijs I, Stewart ID, Shah RL, van der Schouw YT, Wheeler E, Ardanaz E, Boeing H, Dorronsoro M, Dahm CC, Dimou N, El-Fatouhi D, Franks PW, Fagherazzi G, Grioni S, Huerta JM, Heath AK, Hansen L, Jenab M, Jakszyn P, Kaaks R, Kühn T, Khaw KT, Laouali N, Masala G, Nilsson PM, Overvad K, Olsen A, Panico S, Quirós JR, Rolandsson O, Rodríguez-Barranco M, Sacerdote C, Spijkerman AMW, Tong TYN, Tumino R, Tsilidis KK, Danesh J, Riboli E, Butterworth AS, Langenberg C, Forouhi NG, Wareham NJ. The association between circulating 25-hydroxyvitamin D metabolites and type 2 diabetes in European populations: A meta-analysis and Mendelian randomisation analysis. PLoS Med 2020; 17:e1003394. [PMID: 33064751 PMCID: PMC7567390 DOI: 10.1371/journal.pmed.1003394] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [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: 09/12/2019] [Accepted: 09/11/2020] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Prior research suggested a differential association of 25-hydroxyvitamin D (25(OH)D) metabolites with type 2 diabetes (T2D), with total 25(OH)D and 25(OH)D3 inversely associated with T2D, but the epimeric form (C3-epi-25(OH)D3) positively associated with T2D. Whether or not these observational associations are causal remains uncertain. We aimed to examine the potential causality of these associations using Mendelian randomisation (MR) analysis. METHODS AND FINDINGS We performed a meta-analysis of genome-wide association studies for total 25(OH)D (N = 120,618), 25(OH)D3 (N = 40,562), and C3-epi-25(OH)D3 (N = 40,562) in participants of European descent (European Prospective Investigation into Cancer and Nutrition [EPIC]-InterAct study, EPIC-Norfolk study, EPIC-CVD study, Ely study, and the SUNLIGHT consortium). We identified genetic variants for MR analysis to investigate the causal association of the 25(OH)D metabolites with T2D (including 80,983 T2D cases and 842,909 non-cases). We also estimated the observational association of 25(OH)D metabolites with T2D by performing random effects meta-analysis of results from previous studies and results from the EPIC-InterAct study. We identified 10 genetic loci associated with total 25(OH)D, 7 loci associated with 25(OH)D3 and 3 loci associated with C3-epi-25(OH)D3. Based on the meta-analysis of observational studies, each 1-standard deviation (SD) higher level of 25(OH)D was associated with a 20% lower risk of T2D (relative risk [RR]: 0.80; 95% CI 0.77, 0.84; p < 0.001), but a genetically predicted 1-SD increase in 25(OH)D was not significantly associated with T2D (odds ratio [OR]: 0.96; 95% CI 0.89, 1.03; p = 0.23); this result was consistent across sensitivity analyses. In EPIC-InterAct, 25(OH)D3 (per 1-SD) was associated with a lower risk of T2D (RR: 0.81; 95% CI 0.77, 0.86; p < 0.001), while C3-epi-25(OH)D3 (above versus below lower limit of quantification) was positively associated with T2D (RR: 1.12; 95% CI 1.03, 1.22; p = 0.006), but neither 25(OH)D3 (OR: 0.97; 95% CI 0.93, 1.01; p = 0.14) nor C3-epi-25(OH)D3 (OR: 0.98; 95% CI 0.93, 1.04; p = 0.53) was causally associated with T2D risk in the MR analysis. Main limitations include the lack of a non-linear MR analysis and of the generalisability of the current findings from European populations to other populations of different ethnicities. CONCLUSIONS Our study found discordant associations of biochemically measured and genetically predicted differences in blood 25(OH)D with T2D risk. The findings based on MR analysis in a large sample of European ancestry do not support a causal association of total 25(OH)D or 25(OH)D metabolites with T2D and argue against the use of vitamin D supplementation for the prevention of T2D.
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Affiliation(s)
- Ju-Sheng Zheng
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China
| | - Jian’an Luan
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Eleni Sofianopoulou
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Stephen J. Sharp
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Felix R. Day
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | | | - Luca A. Lotta
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Ivonne Sluijs
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Isobel D. Stewart
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Rupal L. Shah
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Eleanor Wheeler
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Eva Ardanaz
- Navarra Public Health Institute, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Germany
| | | | | | - Niki Dimou
- International Agency for Research on Cancer, Lyon, France
| | - Douae El-Fatouhi
- Center of Research in Epidemiology and Population Health, UMR 1018 Inserm, Institut Gustave Roussy, Paris South–Paris Saclay University, Villejuif, France
| | - Paul W. Franks
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Guy Fagherazzi
- Center of Research in Epidemiology and Population Health, UMR 1018 Inserm, Institut Gustave Roussy, Paris South–Paris Saclay University, Villejuif, France
- Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Sara Grioni
- Epidemiology and Prevention Unit, Milan, Italy
| | - José María Huerta
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, Instituto Murciano de Investigación Biosanitaria Virgen de la Arrixaca, Murcia, Spain
| | - Alicia K. Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Louise Hansen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Mazda Jenab
- International Agency for Research on Cancer, Lyon, France
| | - Paula Jakszyn
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology–Institut d’Investigació Biomédica de Bellvitge, L’Hospitalet de Llobregat, Barcelona, Spain
- Facultat Ciències Salut Blanquerna, Universitat Ramon Llull, Barcelona, Spain
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Nasser Laouali
- Center of Research in Epidemiology and Population Health, UMR 1018 Inserm, Institut Gustave Roussy, Paris South–Paris Saclay University, Villejuif, France
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | | | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, Aarhus, Denmark
| | - Anja Olsen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, University of Naples Federico II, Naples, Italy
| | | | - Olov Rolandsson
- Family Medicine Division, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Miguel Rodríguez-Barranco
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Andalusian School of Public Health (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria de Granada, Universidad de Granada, Granada, Spain
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza di Torino University Hospital–University of Turin and Center for Cancer Prevention (CPO), Torino, Italy
| | | | - Tammy Y. N. Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | | | - Konstantinos K. Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - John Danesh
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- British Heart Foundation Cambridge Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke’s Hospital, Cambridge, United Kingdom
- Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, United Kingdom
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Adam S. Butterworth
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Nita G. Forouhi
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
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33
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Christakoudi S, Tsilidis KK, Muller DC, Freisling H, Weiderpass E, Overvad K, Söderberg S, Häggström C, Pischon T, Dahm CC, Zhang J, Tjønneland A, Halkjær J, MacDonald C, Boutron-Ruault MC, Mancini FR, Kühn T, Kaaks R, Schulze MB, Trichopoulou A, Karakatsani A, Peppa E, Masala G, Pala V, Panico S, Tumino R, Sacerdote C, Quirós JR, Agudo A, Sánchez MJ, Cirera L, Barricarte-Gurrea A, Amiano P, Memarian E, Sonestedt E, Bueno-de-Mesquita B, May AM, Khaw KT, Wareham NJ, Tong TYN, Huybrechts I, Noh H, Aglago EK, Ellingjord-Dale M, Ward HA, Aune D, Riboli E. A Body Shape Index (ABSI) achieves better mortality risk stratification than alternative indices of abdominal obesity: results from a large European cohort. Sci Rep 2020; 10:14541. [PMID: 32883969 PMCID: PMC7471961 DOI: 10.1038/s41598-020-71302-5] [Citation(s) in RCA: 79] [Impact Index Per Article: 19.8] [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: 02/12/2020] [Accepted: 08/06/2020] [Indexed: 11/29/2022] Open
Abstract
Abdominal and general adiposity are independently associated with mortality, but there is no consensus on how best to assess abdominal adiposity. We compared the ability of alternative waist indices to complement body mass index (BMI) when assessing all-cause mortality. We used data from 352,985 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) and Cox proportional hazards models adjusted for other risk factors. During a mean follow-up of 16.1 years, 38,178 participants died. Combining in one model BMI and a strongly correlated waist index altered the association patterns with mortality, to a predominantly negative association for BMI and a stronger positive association for the waist index, while combining BMI with the uncorrelated A Body Shape Index (ABSI) preserved the association patterns. Sex-specific cohort-wide quartiles of waist indices correlated with BMI could not separate high-risk from low-risk individuals within underweight (BMI < 18.5 kg/m2) or obese (BMI ≥ 30 kg/m2) categories, while the highest quartile of ABSI separated 18-39% of the individuals within each BMI category, which had 22-55% higher risk of death. In conclusion, only a waist index independent of BMI by design, such as ABSI, complements BMI and enables efficient risk stratification, which could facilitate personalisation of screening, treatment and monitoring.
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Affiliation(s)
- Sofia Christakoudi
- Department of Epidemiology and Biostatistics, Imperial College London, Norfolk Place, St Mary's Campus, London, W2 1PG, UK.
- MRC Centre for Transplantation, King's College London, Great Maze Pond, London, SE1 9RT, UK.
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, Imperial College London, Norfolk Place, St Mary's Campus, London, W2 1PG, UK
- Department of Hygiene and Epidemiology, School of Medicine, University of Ioannina, 45100, Ioannina, Greece
| | - David C Muller
- Department of Epidemiology and Biostatistics, Imperial College London, Norfolk Place, St Mary's Campus, London, W2 1PG, UK
| | - Heinz Freisling
- International Agency for Research on Cancer, World Health Organization, 150 Cours Albert Thomas, 69372, Lyon CEDEX 08, France
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, 150 Cours Albert Thomas, 69372, Lyon CEDEX 08, France
| | - Kim Overvad
- Department of Public Health, Aarhus University, DK-8000, Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, DK-9000, Aalborg, Denmark
| | - Stefan Söderberg
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Christel Häggström
- Department of Biobank Research, Umeå University, Umeå, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Tobias Pischon
- Max Delbrück Center for Molecular Medicine, 13125, Berlin, Germany
- Charité - Universitätsmedizin Berlin, Berlin, Germany
- Berlin Institute of Health (BIH), Berlin, Germany
| | - Christina C Dahm
- Department of Public Health, Aarhus University, DK-8000, Aarhus, Denmark
| | - Jie Zhang
- Department of Public Health, Aarhus University, DK-8000, Aarhus, Denmark
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100, Copenhagen Ø, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jytte Halkjær
- Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100, Copenhagen Ø, Denmark
| | - Conor MacDonald
- Centre de recherche en Epidemiologie et Sante des Populations (CESP), Fac. de médecine - Univ. Paris-Sud, Fac. de médecine - UVSQ, INSERM, Université Paris-Saclay, 94805, Villejuif, France
- Gustave Roussy, F-94805, Villejuif, France
| | - Marie-Christine Boutron-Ruault
- Centre de recherche en Epidemiologie et Sante des Populations (CESP), Fac. de médecine - Univ. Paris-Sud, Fac. de médecine - UVSQ, INSERM, Université Paris-Saclay, 94805, Villejuif, France
- Gustave Roussy, F-94805, Villejuif, France
| | - Francesca Romana Mancini
- Centre de recherche en Epidemiologie et Sante des Populations (CESP), Fac. de médecine - Univ. Paris-Sud, Fac. de médecine - UVSQ, INSERM, Université Paris-Saclay, 94805, Villejuif, France
- Gustave Roussy, F-94805, Villejuif, France
| | - Tilman Kühn
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Rudolf Kaaks
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Sciences, University of Potsdam, Nuthetal, Germany
| | | | - Anna Karakatsani
- Hellenic Health Foundation, Athens, Greece
- 2nd Pulmonary Medicine Department, School of Medicine, National and Kapodistrian University of Athens, "ATTIKON" University Hospital, Haidari, Greece
| | | | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network - ISPRO, Florence, Italy
| | - Valeria Pala
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Via Venezian, 1, 20133, Milan, Italy
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Azienda Sanitaria Provinciale Ragusa (ASP), Ragusa, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | | | - Antonio Agudo
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Maria-Jose Sánchez
- Andalusian School of Public Health (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria de Granada ibs.GRANADA, Granada, Spain
- Universidad de Granada, Granada, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Lluís Cirera
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB - Arrixaca, Murcia, Spain
- Department of Health and Social Sciences, University of Murcia, Murcia, Spain
| | - Aurelio Barricarte-Gurrea
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA) Pamplona, Pamplona, Spain
| | - Pilar Amiano
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, San Sebastian, Spain
| | - Ensieh Memarian
- Dept. Clinical Sciences, Skane University Hospital, Lund University, 20502, Malmö, Sweden
| | - Emily Sonestedt
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Bas Bueno-de-Mesquita
- Department of Epidemiology and Biostatistics, Imperial College London, Norfolk Place, St Mary's Campus, London, W2 1PG, UK
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
- Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Pantai Valley, 50603, Kuala Lumpur, Malaysia
| | - Anne M May
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, STR 6.131, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
| | - Kay-Tee Khaw
- School of Clinical Medicine, Addenbrooke's Hospital, University of Cambridge, Cambridge, CB2 2QQ, UK
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Inge Huybrechts
- International Agency for Research on Cancer, World Health Organization, 150 Cours Albert Thomas, 69372, Lyon CEDEX 08, France
| | - Hwayoung Noh
- International Agency for Research on Cancer, World Health Organization, 150 Cours Albert Thomas, 69372, Lyon CEDEX 08, France
| | - Elom K Aglago
- International Agency for Research on Cancer, World Health Organization, 150 Cours Albert Thomas, 69372, Lyon CEDEX 08, France
| | - Merete Ellingjord-Dale
- Department of Epidemiology and Biostatistics, Imperial College London, Norfolk Place, St Mary's Campus, London, W2 1PG, UK
| | - Heather A Ward
- Department of Epidemiology and Biostatistics, Imperial College London, Norfolk Place, St Mary's Campus, London, W2 1PG, UK
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, Imperial College London, Norfolk Place, St Mary's Campus, London, W2 1PG, UK
- Department of Nutrition, Bjørknes University College, Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, Imperial College London, Norfolk Place, St Mary's Campus, London, W2 1PG, UK
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34
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Sieri S, Agnoli C, Grioni S, Weiderpass E, Mattiello A, Sluijs I, Sanchez MJ, Jakobsen MU, Sweeting M, van der Schouw YT, Nilsson LM, Wennberg P, Katzke VA, Kühn T, Overvad K, Tong TYN, Conchi MI, Quirós JR, García-Torrecillas JM, Mokoroa O, Gómez JH, Tjønneland A, Sonestedt E, Trichopoulou A, Karakatsani A, Valanou E, Boer JMA, Verschuren WMM, Boutron-Ruault MC, Fagherazzi G, Madika AL, Bergmann MM, Schulze MB, Ferrari P, Freisling H, Lennon H, Sacerdote C, Masala G, Tumino R, Riboli E, Wareham NJ, Danesh J, Forouhi NG, Butterworth AS, Krogh V. Glycemic index, glycemic load, and risk of coronary heart disease: a pan-European cohort study. Am J Clin Nutr 2020; 112:631-643. [PMID: 32619242 PMCID: PMC7458777 DOI: 10.1093/ajcn/nqaa157] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 05/27/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND High carbohydrate intake raises blood triglycerides, glucose, and insulin; reduces HDLs; and may increase risk of coronary heart disease (CHD). Epidemiological studies indicate that high dietary glycemic index (GI) and glycemic load (GL) are associated with increased CHD risk. OBJECTIVES The aim of this study was to determine whether dietary GI, GL, and available carbohydrates are associated with CHD risk in both sexes. METHODS This large prospective study-the European Prospective Investigation into Cancer and Nutrition-consisted of 338,325 participants who completed a dietary questionnaire. HRs with 95% CIs for a CHD event, in relation to intake of GI, GL, and carbohydrates, were estimated using covariate-adjusted Cox proportional hazard models. RESULTS After 12.8 y (median), 6378 participants had experienced a CHD event. High GL was associated with greater CHD risk [HR 1.16 (95% CI: 1.02, 1.31) highest vs. lowest quintile, p-trend 0.035; HR 1.18 (95% CI: 1.07, 1.29) per 50 g/day of GL intake]. The association between GL and CHD risk was evident in subjects with BMI (in kg/m2) ≥25 [HR: 1.22 (95% CI: 1.11, 1.35) per 50 g/d] but not in those with BMI <25 [HR: 1.09 (95% CI: 0.98, 1.22) per 50 g/d) (P-interaction = 0.022). The GL-CHD association did not differ between men [HR: 1.19 (95% CI: 1.08, 1.30) per 50 g/d] and women [HR: 1.22 (95% CI: 1.07, 1.40) per 50 g/d] (test for interaction not significant). GI was associated with CHD risk only in the continuous model [HR: 1.04 (95% CI: 1.00, 1.08) per 5 units/d]. High available carbohydrate was associated with greater CHD risk [HR: 1.11 (95% CI: 1.03, 1.18) per 50 g/d]. High sugar intake was associated with greater CHD risk [HR: 1.09 (95% CI: 1.02, 1.17) per 50 g/d]. CONCLUSIONS This large pan-European study provides robust additional support for the hypothesis that a diet that induces a high glucose response is associated with greater CHD risk.
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Affiliation(s)
- Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Sara Grioni
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | - Amalia Mattiello
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Ivonne Sluijs
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Maria Jose Sanchez
- Andalusian School of Public Health, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Instituto de Investigación Biosanitaria (ibs.GRANADA), Granada, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Marianne Uhre Jakobsen
- National Food Institute, Division for Diet, Disease Prevention, and Toxicology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Michael Sweeting
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Lena Maria Nilsson
- Department of Public Health and Clinical Medicine, Sustainable Health, Umeå University, Umeå, Sweden
| | - Patrik Wennberg
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | - Verena A Katzke
- Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Tilman Kühn
- Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | | | | | | | - Olatz Mokoroa
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, San Sebastian, Spain
| | - Jesús-Humberto Gómez
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
| | - Anne Tjønneland
- Diet, Genes, and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Emiliy Sonestedt
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | | | - Anna Karakatsani
- Hellenic Health Foundation, Athens, Greece
- 2nd Pulmonary Medicine Department, School of Medicine, National and Kapodistrian University of Athens, “ATTIKON” University Hospital, Haidari, Greece
| | | | - Jolanda M A Boer
- National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | | | - Marie-Christine Boutron-Ruault
- Center for Research in Epidemiology and Population Health, University Paris-South, Faculty of Medicine, University Versailles-St Quentin, National Institute for Health and Medical Research, Université Paris-Saclay, Villejuif, France
- Gustave Roussy, Villejuif, France
| | - Guy Fagherazzi
- Center for Research in Epidemiology and Population Health, University Paris-South, Faculty of Medicine, University Versailles-St Quentin, National Institute for Health and Medical Research, Université Paris-Saclay, Villejuif, France
- Gustave Roussy, Villejuif, France
| | - Anne-Laure Madika
- Center for Research in Epidemiology and Population Health, University Paris-South, Faculty of Medicine, University Versailles-St Quentin, National Institute for Health and Medical Research, Université Paris-Saclay, Villejuif, France
- Gustave Roussy, Villejuif, France
- Université Lille, CHU Lille, Lille, France
| | - Manuela M Bergmann
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
- DZHK (German Center for Cardiovascular Research), partner site Berlin, Berlin, Germany
- University of Potsdam, Institute of Nutritional Sciences, Nuthetal, Germany
| | - Pietro Ferrari
- International Agency for Research on Cancer, WHO, Lyon, France
| | - Heinz Freisling
- International Agency for Research on Cancer, WHO, Lyon, France
| | - Hannah Lennon
- International Agency for Research on Cancer, WHO, Lyon, France
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention, Turin, Italy
| | - Giovanna Masala
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network, Florence, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, “Civic-M.P.Arezzo” Hospital, ASP Ragusa, Ragusa, Italy
| | - Elio Riboli
- Department of Epidemiology and Public Health, Imperial College London, London, United Kingdom
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - John Danesh
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Adam S Butterworth
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
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35
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Tong TYN, Appleby PN, Key TJ, Dahm CC, Overvad K, Olsen A, Tjønneland A, Katzke V, Kühn T, Boeing H, Karakatsani A, Peppa E, Trichopoulou A, Weiderpass E, Masala G, Grioni S, Panico S, Tumino R, Boer JMA, Verschuren WMM, Quirós JR, Agudo A, Rodríguez-Barranco M, Imaz L, Chirlaque MD, Moreno-Iribas C, Engström G, Sonestedt E, Lind M, Otten J, Khaw KT, Aune D, Riboli E, Wareham NJ, Imamura F, Forouhi NG, di Angelantonio E, Wood AM, Butterworth AS, Perez-Cornago A. The associations of major foods and fibre with risks of ischaemic and haemorrhagic stroke: a prospective study of 418 329 participants in the EPIC cohort across nine European countries. Eur Heart J 2020; 41:2632-2640. [PMID: 32090257 PMCID: PMC7377582 DOI: 10.1093/eurheartj/ehaa007] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [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: 06/24/2019] [Revised: 09/20/2019] [Accepted: 01/10/2020] [Indexed: 01/12/2023] Open
Abstract
AIM To investigate the associations between major foods and dietary fibre with subtypes of stroke in a large prospective cohort. METHODS AND RESULTS We analysed data on 418 329 men and women from nine European countries, with an average of 12.7 years of follow-up. Diet was assessed using validated country-specific questionnaires which asked about habitual intake over the past year, calibrated using 24-h recalls. Multivariable-adjusted Cox regressions were used to estimate hazard ratios (HRs) for ischaemic and haemorrhagic stroke associated with consumption of red and processed meat, poultry, fish, dairy foods, eggs, cereals, fruit and vegetables, legumes, nuts and seeds, and dietary fibre. For ischaemic stroke (4281 cases), lower risks were observed with higher consumption of fruit and vegetables combined (HR; 95% CI per 200 g/day higher intake, 0.87; 0.82-0.93, P-trend < 0.001), dietary fibre (per 10 g/day, 0.77; 0.69-0.86, P-trend < 0.001), milk (per 200 g/day, 0.95; 0.91-0.99, P-trend = 0.02), yogurt (per 100 g/day, 0.91; 0.85-0.97, P-trend = 0.004), and cheese (per 30 g/day, 0.88; 0.81-0.97, P-trend = 0.008), while higher risk was observed with higher red meat consumption which attenuated when adjusted for the other statistically significant foods (per 50 g/day, 1.07; 0.96-1.20, P-trend = 0.20). For haemorrhagic stroke (1430 cases), higher risk was associated with higher egg consumption (per 20 g/day, 1.25; 1.09-1.43, P-trend = 0.002). CONCLUSION Risk of ischaemic stroke was inversely associated with consumption of fruit and vegetables, dietary fibre, and dairy foods, while risk of haemorrhagic stroke was positively associated with egg consumption. The apparent differences in the associations highlight the importance of examining ischaemic and haemorrhagic stroke subtypes separately.
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Affiliation(s)
- Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford OX3 7LF, UK
| | - Paul N Appleby
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford OX3 7LF, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford OX3 7LF, UK
| | - Christina C Dahm
- Department of Public Health, Aarhus University, Nordre Ringgade 1, 8000 Aarhus, Demark
| | - Kim Overvad
- Department of Public Health, Aarhus University, Nordre Ringgade 1, 8000 Aarhus, Demark
- Department of Cardiology, Aalborg University Hospital, Reberbansgade 15, 9000 Aalborg, Denmark
| | - Anja Olsen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Anne Tjønneland
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Strandboulevarden 49, 2100 Copenhagen, Denmark
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120 Heidelberg Germany
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120 Heidelberg Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition (DIfE) Postdam-Rehbrücke, Arthur-Scheunert-Allee 114, 14558 Nuthetal, Germany
| | - Anna Karakatsani
- Hellenic Health Foundation, Kaisareias 13 & Alexandroupoleos, 11527 Athens, Greece
- 2nd Pulmonary Medicine Department, School of Medicine, National and Kapodistrian University of Athens, “ATTIKON” University Hospital, 1, Rimini Str, Haidari, 12462 Athens, Greece
| | - Eleni Peppa
- Hellenic Health Foundation, Kaisareias 13 & Alexandroupoleos, 11527 Athens, Greece
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Kaisareias 13 & Alexandroupoleos, 11527 Athens, Greece
| | - Elisabete Weiderpass
- International Agency for Research on Cancer (IARC), World Health Organization (WHO), 150 Cours Albert Thomas, 69372, Lyon CEDEX 08, France
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network - ISPRO, Via Cosimo Il Vecchio
| | - Sara Grioni
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Via Giacomo Venezian, 1, 20133 Milan, Italy
| | - Salvatore Panico
- Dipartimento Di Medicina Clinica E Chirurgia Federico II University, Corso Umberto I, 40, 80138 Naples, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, “M.P.Arezzo” Hospital, ASP Contrada Rito, 97100 Ragusa, Italy
| | - Jolanda M A Boer
- National Institute for Public Health and the Environment, Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, the Netherlands
| | - W M Monique Verschuren
- National Institute for Public Health and the Environment, Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 Utrecht, the Netherlands
| | - J Ramón Quirós
- Public Health Directorate, General Elorza 32, 33001 Oviedo, Asturias, Spain
| | - Antonio Agudo
- Unit of Nutrition and Cancer. Cancer Epidemiology Research Program. Catalan Institute of Oncology-IDIBELL. Avinguda de la Gran Via de l'Hospitalet 199-203, 08908 L'Hospitalet de Llobregat, Barcelona, Spain
| | - Miguel Rodríguez-Barranco
- Andalusian School of Public Health. Biomedical Research Institute ibs.GRANADA, University of Granada, Cuesta del Observatorio, 4, 18011 Granada, Spain
- CIBER of Epidemiology and Public Health. Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0 28029 Madrid, Spain
| | - Liher Imaz
- Ministry of Health of the Basque Government, Public Health Division of Gipuzkoa, Andia 13, 20004 Donostia-San Sebastian, Spain
- Biodonostia Health Research Institute, Paseo Doctor Begiristain, s/n, 20014 Donostia-San Sebastian, Spain
| | - María-Dolores Chirlaque
- CIBER of Epidemiology and Public Health. Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0 28029 Madrid, Spain
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, Ronda de Levante, 11, 30008 Murcia, Spain
| | - Conchi Moreno-Iribas
- Instituto de Salud Pública de Navarra, IdiSNA, Navarre Institute for Health Research, Calle de Irunlarrea 3, 31008 Pamplona, Spain
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Recinto Hospitalario de Navarra, Calle de Irunlarrea s/n, 31621 Pamplona, Spain
| | - Gunnar Engström
- Department of Clinical Science in Malmö, Lund University, Bergsgatan 31 B, 21445 Malmö, Sweden
| | - Emily Sonestedt
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms gata 35, CRC, hus 60 plan 13 205 02 Malmö, Sweden
| | - Marcus Lind
- Department of Public Health and Clinical Medicine, Umeå University, 901 87 Umeå, Sweden
| | - Julia Otten
- Department of Public Health and Clinical Medicine, Umeå University, 901 87 Umeå, Sweden
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge CB1 8RN, UK
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
- Department of Nutrition, Bjørknes University College, Lovisenberggata 13, N- 0456 Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital Ullevål, OUS HF Aker sykehus, Postboks 4959 Nydalen, 0424 Oslo, Norway
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Emanuele di Angelantonio
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge CB1 8RN, UK
| | - Angela M Wood
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge CB1 8RN, UK
| | - Adam S Butterworth
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge CB1 8RN, UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford OX3 7LF, UK
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Zheng JS, Sharp SJ, Imamura F, Chowdhury R, Gundersen TE, Steur M, Sluijs I, van der Schouw YT, Agudo A, Aune D, Barricarte A, Boeing H, Chirlaque MD, Dorronsoro M, Freisling H, El-Fatouhi D, Franks PW, Fagherazzi G, Grioni S, Gunter MJ, Kyrø C, Katzke V, Kühn T, Khaw KT, Laouali N, Masala G, Nilsson PM, Overvad K, Panico S, Papier K, Quirós JR, Rolandsson O, Redondo-Sánchez D, Ricceri F, Schulze MB, Spijkerman AMW, Tjønneland A, Tong TYN, Tumino R, Weiderpass E, Danesh J, Butterworth AS, Riboli E, Forouhi NG, Wareham NJ. Association of plasma biomarkers of fruit and vegetable intake with incident type 2 diabetes: EPIC-InterAct case-cohort study in eight European countries. BMJ 2020; 370:m2194. [PMID: 32641421 PMCID: PMC7341350 DOI: 10.1136/bmj.m2194] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/02/2020] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To investigate the association of plasma vitamin C and carotenoids, as indicators of fruit and vegetable intake, with the risk of type 2 diabetes. DESIGN Prospective case-cohort study. SETTING Populations from eight European countries. PARTICIPANTS 9754 participants with incident type 2 diabetes, and a subcohort of 13 662 individuals from the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort of 340 234 participants: EPIC-InterAct case-cohort study. MAIN OUTCOME MEASURE Incident type 2 diabetes. RESULTS In a multivariable adjusted model, higher plasma vitamin C was associated with a lower risk of developing type 2 diabetes (hazard ratio per standard deviation 0.82, 95% confidence interval 0.76 to 0.89). A similar inverse association was shown for total carotenoids (hazard ratio per standard deviation 0.75, 0.68 to 0.82). A composite biomarker score (split into five equal groups), comprising vitamin C and individual carotenoids, was inversely associated with type 2 diabetes with hazard ratios 0.77, 0.66, 0.59, and 0.50 for groups 2-5 compared with group 1 (the lowest group). Self-reported median fruit and vegetable intake was 274 g/day, 396 g/day, and 508 g/day for participants in categories defined by groups 1, 3, and 5 of the composite biomarker score, respectively. One standard deviation difference in the composite biomarker score, equivalent to a 66 (95% confidence interval 61 to 71) g/day difference in total fruit and vegetable intake, was associated with a hazard ratio of 0.75 (0.67 to 0.83). This would be equivalent to an absolute risk reduction of 0.95 per 1000 person years of follow up if achieved across an entire population with the characteristics of the eight European countries included in this analysis. CONCLUSIONS These findings indicate an inverse association between plasma vitamin C, carotenoids, and their composite biomarker score, and incident type 2 diabetes in different European countries. These biomarkers are objective indicators of fruit and vegetable consumption, and suggest that diets rich in even modestly higher fruit and vegetable consumption could help to prevent development of type 2 diabetes.
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Affiliation(s)
- Ju-Sheng Zheng
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
- Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China
| | - Stephen J Sharp
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Rajiv Chowdhury
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | | | - Marinka Steur
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Ivonne Sluijs
- Julius Centre for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Yvonne T van der Schouw
- Julius Centre for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Antonio Agudo
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology, Group of Research on Nutrition and Cancer, Bellvitge Biomedical Research Institute, L'Hospitalet of Llobregat, Barcelona, Spain
| | - Dagfinn Aune
- School of Public Health, Imperial College London, London, UK
- Department of Nutrition, Bjørknes University College, Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | | | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - María-Dolores Chirlaque
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, Murcia, Spain
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | | | | | - Douae El-Fatouhi
- Centre of Research in Epidemiology and Population Health, UMR 1018 Inserm, Institut Gustave Roussy, Paris-Sud Paris-Saclay University, Villejuif, France
| | - Paul W Franks
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Guy Fagherazzi
- Centre of Research in Epidemiology and Population Health, UMR 1018 Inserm, Institut Gustave Roussy, Paris-Sud Paris-Saclay University, Villejuif, France
- Luxembourg Institute of Health (LIH), Department of Population Health, Strassen, Luxembourg
| | - Sara Grioni
- Epidemiology and Prevention Unit, Milan, Italy
| | - Marc J Gunter
- International Agency for Research on Cancer, Lyon, France
| | - Cecilie Kyrø
- Danish Cancer Society Research Centre, Copenhagen, Denmark
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Centre, Heidelberg, Germany
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Centre, Heidelberg, Germany
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Nasser Laouali
- Centre of Research in Epidemiology and Population Health, UMR 1018 Inserm, Institut Gustave Roussy, Paris-Sud Paris-Saclay University, Villejuif, France
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network, Florence, Italy
| | - Peter M Nilsson
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, Aarhus, Denmark
| | - Salvatore Panico
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | - Olov Rolandsson
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | - Daniel Redondo-Sánchez
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Andalusian School of Public Health, Granada, Spain
- Institute of Biosanitary Research of Granada, Granada, Spain
| | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
- Unit of Epidemiology, Regional Health Service ASL TO3, Grugliasco, Turin, Italy
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Centre for Diabetes Research, Neuherberg, Germany
- University of Potsdam, Institute of Nutritional Sciences, Potsdam, Germany
| | | | | | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Azienda Sanitaria Provinciale, Ragusa, Italy
| | | | - John Danesh
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- British Heart Foundation Cambridge Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge, UK
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
| | - Adam S Butterworth
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Elio Riboli
- School of Public Health, Imperial College London, London, UK
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
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Tong TYN, Koulman A, Griffin JL, Wareham NJ, Forouhi NG, Imamura F. A Combination of Metabolites Predicts Adherence to the Mediterranean Diet Pattern and Its Associations with Insulin Sensitivity and Lipid Homeostasis in the General Population: The Fenland Study, United Kingdom. J Nutr 2020; 150:568-578. [PMID: 31665391 PMCID: PMC7315099 DOI: 10.1093/jn/nxz263] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 07/15/2019] [Accepted: 09/27/2019] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Cardiometabolic benefits of the Mediterranean diet have been recognized, but underlying mechanisms are not fully understood. OBJECTIVES We aimed to investigate how the Mediterranean diet could influence circulating metabolites and how the metabolites could mediate the associations of the diet with cardiometabolic risk factors. METHODS Among 10,806 participants (58.9% women, mean age = 48.4 y) in the Fenland Study (2004-2015) in the United Kingdom, we assessed dietary consumption with FFQs and conducted a targeted metabolomics assay for 175 plasma metabolites (acylcarnitines, amines, sphingolipids, and phospholipids). We examined cross-sectional associations of the Mediterranean diet score (MDS) and its major components with each metabolite, modeling multivariable-adjusted linear regression. We used the regression estimates to summarize metabolites associated with the MDS into a metabolite score as a marker of the diet. Subsequently, we assessed how much metabolite subclasses and the metabolite score would mediate the associations of the MDS with circulating lipids, homeostasis model assessment of insulin resistance (HOMA-IR), and other metabolic factors by comparing regression estimates upon adjustment for the metabolites. RESULTS Sixty-six metabolites were significantly associated with the MDS (P ≤ 0.003, corrected for false discovery rate) (Spearman correlations, r: -0.28 to +0.28). The metabolite score was moderately correlated with the MDS (r = 0.43). Of MDS components, consumption of nuts, cereals, and meats contributed to variations in acylcarnitines; fruits, to amino acids and amines; and fish, to phospholipids. The metabolite score was estimated to explain 37.2% of the inverse association of the MDS with HOMA-IR (P for mediation < 0.05). The associations of the MDS with cardiometabolic factors were estimated to be mediated by acylcarnitines, sphingolipids, and phospholipids. CONCLUSIONS Multiple metabolites relate to the Mediterranean diet in a healthy general British population and highlight the potential to identify a set of biomarkers for an overall diet. The associations may involve pathways of phospholipid metabolism, carnitine metabolism, and development of insulin resistance and dyslipidemia.
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Affiliation(s)
- Tammy Y N Tong
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom,Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Albert Koulman
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom,National Institute for Health Research Biomedical Research Centres Core Nutritional Biomarker Laboratory, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom,National Institute for Health Research Biomedical Research Centres Core Metabolomics and Lipidomics Laboratory, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom,MRC Elsie Widdowson Laboratory, Cambridge, United Kingdom
| | - Julian L Griffin
- MRC Elsie Widdowson Laboratory, Cambridge, United Kingdom,Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Nita G Forouhi
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom,Address correspondence to NGF (e-mail: )
| | - Fumiaki Imamura
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom,Address correspondence to FI (e-mail: )
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Sanikini H, Muller DC, Sophiea M, Rinaldi S, Agudo A, Duell EJ, Weiderpass E, Overvad K, Tjønneland A, Halkjaer J, Boutron-Ruault MC, Carbonnel F, Cervenka I, Boeing H, Kaaks R, Kühn T, Trichopoulou A, Martimianaki G, Karakatsani A, Pala V, Palli D, Mattiello A, Tumino R, Sacerdote C, Skeie G, Rylander C, Chirlaque López MD, Sánchez MJ, Ardanaz E, Regnér S, Stocks T, Bueno-de-Mesquita B, Vermeulen RCH, Aune D, Tong TYN, Kliemann N, Murphy N, Chadeau-Hyam M, Gunter MJ, Cross AJ. Anthropometric and reproductive factors and risk of esophageal and gastric cancer by subtype and subsite: Results from the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Int J Cancer 2020; 146:929-942. [PMID: 31050823 PMCID: PMC6973006 DOI: 10.1002/ijc.32386] [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] [Received: 11/27/2018] [Revised: 03/26/2019] [Accepted: 03/28/2019] [Indexed: 12/24/2022]
Abstract
Obesity has been associated with upper gastrointestinal cancers; however, there are limited prospective data on associations by subtype/subsite. Obesity can impact hormonal factors, which have been hypothesized to play a role in these cancers. We investigated anthropometric and reproductive factors in relation to esophageal and gastric cancer by subtype and subsite for 476,160 participants from the European Prospective Investigation into Cancer and Nutrition cohort. Multivariable hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox models. During a mean follow-up of 14 years, 220 esophageal adenocarcinomas (EA), 195 esophageal squamous cell carcinomas, 243 gastric cardia (GC) and 373 gastric noncardia (GNC) cancers were diagnosed. Body mass index (BMI) was associated with EA in men (BMI ≥30 vs. 18.5-25 kg/m2 : HR = 1.94, 95% CI: 1.25-3.03) and women (HR = 2.66, 95% CI: 1.15-6.19); however, adjustment for waist-to-hip ratio (WHR) attenuated these associations. After mutual adjustment for BMI and HC, respectively, WHR and waist circumference (WC) were associated with EA in men (HR = 3.47, 95% CI: 1.99-6.06 for WHR >0.96 vs. <0.91; HR = 2.67, 95% CI: 1.52-4.72 for WC >98 vs. <90 cm) and women (HR = 4.40, 95% CI: 1.35-14.33 for WHR >0.82 vs. <0.76; HR = 5.67, 95% CI: 1.76-18.26 for WC >84 vs. <74 cm). WHR was also positively associated with GC in women, and WC was positively associated with GC in men. Inverse associations were observed between parity and EA (HR = 0.38, 95% CI: 0.14-0.99; >2 vs. 0) and age at first pregnancy and GNC (HR = 0.54, 95% CI: 0.32-0.91; >26 vs. <22 years); whereas bilateral ovariectomy was positively associated with GNC (HR = 1.87, 95% CI: 1.04-3.36). These findings support a role for hormonal pathways in upper gastrointestinal cancers.
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Affiliation(s)
- Harinakshi Sanikini
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - David C Muller
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Marisa Sophiea
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Sabina Rinaldi
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Antonio Agudo
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
| | - Eric J Duell
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Genetic Epidemiology Group, Folkhälsan Research Center, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | | | - Jytte Halkjaer
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Marie-Christine Boutron-Ruault
- CESP, Faculté de Médecine, Université Paris-Sud, Villejuif, France
- Faculté de Médecine, UVSQ, INSERM, Université Paris-Saclay, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - Franck Carbonnel
- CESP, Faculté de Médecine, Université Paris-Sud, Villejuif, France
- Faculté de Médecine, UVSQ, INSERM, Université Paris-Saclay, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
- Department of Gastroenterology, Bicêtre University Hospital, Assistance Publique des Hôpitaux de Paris, Le Kremlin-Bicêtre, France
| | - Iris Cervenka
- CESP, Faculté de Médecine, Université Paris-Sud, Villejuif, France
- Faculté de Médecine, UVSQ, INSERM, Université Paris-Saclay, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition, Potsdam-Rehbrücke, Nuthetal, Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | | | - Anna Karakatsani
- Hellenic Health Foundation, Athens, Greece
- Pulmonary Medicine Department, School of Medicine, National and Kapodistrian University of Athens, "ATTIKON" University Hospital, Haidari, Greece
| | - Valeria Pala
- Epidemiology and Prevention Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network-ISPRO, Florence, Italy
| | - Amalia Mattiello
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, "Civic - M. P. Arezzo" Hospital, ASP, Ragusa, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Guri Skeie
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Charlotta Rylander
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - María-Dolores Chirlaque López
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Health and Social Sciences, Murcia University, Murcia, Spain
| | - Maria-Jose Sánchez
- Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs, GRANADA, Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Eva Ardanaz
- Navarra Public Health Institute, Pamplona, Spain
- IdiSNA Navarra Institute for Health Research, Pamplona, Spain
- CIBER Epidemiology and Public Health CIBERESP, Madrid, Spain
| | - Sara Regnér
- Institution of Clinical Sciences Malmö, Skåne University Hospital, Lund University, Sweden
| | - Tanja Stocks
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Bas Bueno-de-Mesquita
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
- Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Roel C H Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
- Julius Centre for Public Health Sciences and Primary Care, Utrecht University Medical Centre, Utrecht, The Netherlands
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Nutrition, Bjørknes University College, Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Nathalie Kliemann
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Neil Murphy
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Marc Chadeau-Hyam
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Marc J Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Amanda J Cross
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
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Freisling H, Viallon V, Lennon H, Bagnardi V, Ricci C, Butterworth AS, Sweeting M, Muller D, Romieu I, Bazelle P, Kvaskoff M, Arveux P, Severi G, Bamia C, Kühn T, Kaaks R, Bergmann M, Boeing H, Tjønneland A, Olsen A, Overvad K, Dahm CC, Menéndez V, Agudo A, Sánchez MJ, Amiano P, Santiuste C, Gurrea AB, Tong TYN, Schmidt JA, Tzoulaki I, Tsilidis KK, Ward H, Palli D, Agnoli C, Tumino R, Ricceri F, Panico S, Picavet HSJ, Bakker M, Monninkhof E, Nilsson P, Manjer J, Rolandsson O, Thysell E, Weiderpass E, Jenab M, Riboli E, Vineis P, Danesh J, Wareham NJ, Gunter MJ, Ferrari P. Lifestyle factors and risk of multimorbidity of cancer and cardiometabolic diseases: a multinational cohort study. BMC Med 2020; 18:5. [PMID: 31918762 PMCID: PMC6953215 DOI: 10.1186/s12916-019-1474-7] [Citation(s) in RCA: 122] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2019] [Accepted: 11/26/2019] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Although lifestyle factors have been studied in relation to individual non-communicable diseases (NCDs), their association with development of a subsequent NCD, defined as multimorbidity, has been scarcely investigated. The aim of this study was to investigate associations between five lifestyle factors and incident multimorbidity of cancer and cardiometabolic diseases. METHODS In this prospective cohort study, 291,778 participants (64% women) from seven European countries, mostly aged 43 to 58 years and free of cancer, cardiovascular disease (CVD), and type 2 diabetes (T2D) at recruitment, were included. Incident multimorbidity of cancer and cardiometabolic diseases was defined as developing subsequently two diseases including first cancer at any site, CVD, and T2D in an individual. Multi-state modelling based on Cox regression was used to compute hazard ratios (HR) and 95% confidence intervals (95% CI) of developing cancer, CVD, or T2D, and subsequent transitions to multimorbidity, in relation to body mass index (BMI), smoking status, alcohol intake, physical activity, adherence to the Mediterranean diet, and their combination as a healthy lifestyle index (HLI) score. Cumulative incidence functions (CIFs) were estimated to compute 10-year absolute risks for transitions from healthy to cancer at any site, CVD (both fatal and non-fatal), or T2D, and to subsequent multimorbidity after each of the three NCDs. RESULTS During a median follow-up of 11 years, 1910 men and 1334 women developed multimorbidity of cancer and cardiometabolic diseases. A higher HLI, reflecting healthy lifestyles, was strongly inversely associated with multimorbidity, with hazard ratios per 3-unit increment of 0.75 (95% CI, 0.71 to 0.81), 0.84 (0.79 to 0.90), and 0.82 (0.77 to 0.88) after cancer, CVD, and T2D, respectively. After T2D, the 10-year absolute risks of multimorbidity were 40% and 25% for men and women, respectively, with unhealthy lifestyle, and 30% and 18% for men and women with healthy lifestyles. CONCLUSION Pre-diagnostic healthy lifestyle behaviours were strongly inversely associated with the risk of cancer and cardiometabolic diseases, and with the prognosis of these diseases by reducing risk of multimorbidity.
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Affiliation(s)
- Heinz Freisling
- Nutritional Methodology and Biostatistics Group, International Agency for Research on Cancer, 150 cours Albert Thomas, 69372, Lyon CEDEX 08, France.
| | - Vivian Viallon
- Nutritional Methodology and Biostatistics Group, International Agency for Research on Cancer, 150 cours Albert Thomas, 69372, Lyon CEDEX 08, France
| | - Hannah Lennon
- Nutritional Methodology and Biostatistics Group, International Agency for Research on Cancer, 150 cours Albert Thomas, 69372, Lyon CEDEX 08, France
| | - Vincenzo Bagnardi
- Department of Statistics and Quantitative Methods, University of Milan Bicocca, Milan, Italy
| | - Cristian Ricci
- Centre of Excellence for Nutrition (CEN), North-West University, Potchefstroom, South Africa
| | - Adam S Butterworth
- Medical Research Council, British Heart Foundation, Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Michael Sweeting
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - David Muller
- Department Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Isabelle Romieu
- Nutritional Epidemiology Group, International Agency for Research on Cancer, Lyon, France
| | - Pauline Bazelle
- Nutritional Methodology and Biostatistics Group, International Agency for Research on Cancer, 150 cours Albert Thomas, 69372, Lyon CEDEX 08, France
| | - Marina Kvaskoff
- Centre for Research in Epidemiology and Population Health (CESP), Inserm, Facultés de Médecine Universités Paris Sud, UVSQ, Université Paris Saclay, Gustave Roussy, Villejuif, France
| | - Patrick Arveux
- Centre for Research in Epidemiology and Population Health (CESP), Inserm, Facultés de Médecine Universités Paris Sud, UVSQ, Université Paris Saclay, Gustave Roussy, Villejuif, France
- Breast and Gynaecologic Cancer Registry of Côte d'Or, Georges François Leclerc Comprehensive Cancer Care Centre, Dijon, France
| | - Gianluca Severi
- Centre for Research in Epidemiology and Population Health (CESP), Inserm, Facultés de Médecine Universités Paris Sud, UVSQ, Université Paris Saclay, Gustave Roussy, Villejuif, France
- Molecular and Genetic Epidemiology Unit, Human Genetics Foundation, Torino, Italy
| | - Christina Bamia
- WHO Collaborating Center for Nutrition and Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
- Hellenic Health Foundation, Athens, Greece
| | - Tilman Kühn
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rudolf Kaaks
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Manuela Bergmann
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbrücke, Nuthetal, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbrücke, Nuthetal, Germany
| | | | - Anja Olsen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | | | | | - Antonio Agudo
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Maria-Jose Sánchez
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Andalusian School of Public Health and Instituto de Investigación Biosanitaria de Granada ibs, Servicio Andaluz de Salud/Universidad de Granada, Granada, Spain
| | - Pilar Amiano
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, San Sebastian, Spain
| | - Carmen Santiuste
- Department of Epidemiology, Murcia Regional Health Council, IMIB Arrixaca, Murcia, Spain
| | | | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ioanna Tzoulaki
- Department Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- MRC PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Konstantinos K Tsilidis
- Department Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Heather Ward
- Department Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network - ISPRO, Florence, Italy
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | - Fulvio Ricceri
- Città della Salute e della Scienza di Torino Hospital, Turin, Italy
| | - Salvatore Panico
- Department of Clinical and Experimental Medicine, Federico II University, Naples, Italy
| | - H Susan J Picavet
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Marije Bakker
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Evelyn Monninkhof
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Peter Nilsson
- Public Health and Clinical Medicine, Nutritional Research, Umeå University, and Arctic Research Centre at Umeå University, Umeå, Sweden
| | - Jonas Manjer
- Department of Surgery, Skåne University Hospital Malmö, Lund University, Malmö, Sweden
| | - Olov Rolandsson
- Department of Public Health and Clinical Medicine, Section of Family Medicine, Umeå University, Umeå, Sweden
| | - Elin Thysell
- Department of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden
| | | | - Mazda Jenab
- Nutritional Epidemiology Group, International Agency for Research on Cancer, Lyon, France
| | - Elio Riboli
- Department Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Paolo Vineis
- Department Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - John Danesh
- Medical Research Council, British Heart Foundation, Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Nick J Wareham
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - Marc J Gunter
- Nutritional Epidemiology Group, International Agency for Research on Cancer, Lyon, France
| | - Pietro Ferrari
- Nutritional Methodology and Biostatistics Group, International Agency for Research on Cancer, 150 cours Albert Thomas, 69372, Lyon CEDEX 08, France
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Imamura F, Schulze MB, Sharp SJ, Guevara M, Romaguera D, Bendinelli B, Salamanca-Fernández E, Ardanaz E, Arriola L, Aune D, Boeing H, Dow C, Fagherazzi G, Franks PW, Freisling H, Jakszyn P, Kaaks R, Khaw KT, Kühn T, Mancini FR, Masala G, Chirlaque MD, Nilsson PM, Overvad K, Pala VM, Panico S, Perez-Cornago A, Quirós JR, Ricceri F, Rodríguez-Barranco M, Rolandsson O, Sluijs I, Stepien M, Spijkerman AMW, Tjønneland A, Tong TYN, Tumino R, Vissers LET, Ward HA, Langenberg C, Riboli E, Forouhi NG, Wareham NJ. Estimated Substitution of Tea or Coffee for Sugar-Sweetened Beverages Was Associated with Lower Type 2 Diabetes Incidence in Case-Cohort Analysis across 8 European Countries in the EPIC-InterAct Study. J Nutr 2019; 149:1985-1993. [PMID: 31396627 PMCID: PMC6825826 DOI: 10.1093/jn/nxz156] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [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: 02/06/2019] [Revised: 04/01/2019] [Accepted: 06/11/2019] [Indexed: 12/31/2022] Open
Abstract
INTRODUCTION Beverage consumption is a modifiable risk factor for type 2 diabetes (T2D), but there is insufficient evidence to inform the suitability of substituting 1 type of beverage for another. OBJECTIVE The aim of this study was to estimate the risk of T2D when consumption of sugar-sweetened beverages (SSBs) was replaced with consumption of fruit juice, milk, coffee, or tea. METHODS In the European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct case-cohort study of 8 European countries (n = 27,662, with 12,333 cases of incident T2D, 1992-2007), beverage consumption was estimated at baseline by dietary questionnaires. Using Prentice-weighted Cox regression adjusting for other beverages and potential confounders, we estimated associations of substituting 1 type of beverage for another on incident T2D. RESULTS Mean ± SD of estimated consumption of SSB was 55 ± 105 g/d. Means ± SDs for the other beverages were as follows: fruit juice, 59 ± 101 g/d; milk, 209 ± 203 g/d; coffee, 381 ± 372 g/d; and tea, 152 ± 282 g/d. Substituting coffee for SSBs by 250 g/d was associated with a 21% lower incidence of T2D (95% CI: 12%, 29%). The rate difference was -12.0 (95% CI: -20.0, -5.0) per 10,000 person-years among adults consuming SSBs ≥250 g/d (absolute rate = 48.3/10,000). Substituting tea for SSBs was estimated to lower T2D incidence by 22% (95% CI: 15%, 28%) or -11.0 (95% CI: -20.0, -2.6) per 10,000 person-years, whereas substituting fruit juice or milk was estimated not to alter T2D risk significantly. CONCLUSIONS These findings indicate a potential benefit of substituting coffee or tea for SSBs for the primary prevention of T2D and may help formulate public health recommendations on beverage consumption in different populations.
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Affiliation(s)
- Fumiaki Imamura
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Matthias B Schulze
- Department of Molecular Epidemiology, Germen Institute of Human Nutrition, Potsdam, Germany
| | - Stephen J Sharp
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Marcela Guevara
- IDISNA Navarra Health Research Institute, Pamplona, Spain
- CIBER Epidemiology and Public Health, Madrid, Spain
| | - Dora Romaguera
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Health Research Institute of Balearic Islands (IdISBa), Palma de Mallorca, Spain
- CIBER Physiopathology of Obesity and Nutrition, Madrid, Spain
| | - Benedetta Bendinelli
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Elena Salamanca-Fernández
- CIBER Epidemiology and Public Health, Madrid, Spain
- Andalusian School of Public Health, Institute of Investigation Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), University of Granada, Granada, Spain
| | - Eva Ardanaz
- IDISNA Navarra Health Research Institute, Pamplona, Spain
- CIBER Epidemiology and Public Health, Madrid, Spain
| | - Larraitz Arriola
- Public Health Division of Gipuzkoa, Instituto BIO-Donostia, Basque Government, CIBERESP, Gipuzkoa, Spain
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Nutrition, Bjørknes University College, Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital Ullevål, Oslo, Norway
| | - Heiner Boeing
- Department of Molecular Epidemiology, Germen Institute of Human Nutrition, Potsdam, Germany
| | - Courtney Dow
- Gustave Roussy Institute, Villejuif, France
- University Paris–South, Faculty of Medicine, University Versailles–St Quentin, University Paris-Saclay, Villejuif, France
- National Institute for Health and Medical Research (INSERM), Center for Research in Epidemiology and Population Health, Villejuif, France
| | - Guy Fagherazzi
- Gustave Roussy Institute, Villejuif, France
- University Paris–South, Faculty of Medicine, University Versailles–St Quentin, University Paris-Saclay, Villejuif, France
- National Institute for Health and Medical Research (INSERM), Center for Research in Epidemiology and Population Health, Villejuif, France
| | - Paul W Franks
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
- Department of Clinical Sciences, Lund University, Skane University Hospital, Malmo, Sweden
| | - Heinz Freisling
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC–WHO), Lyon, France
| | - Paula Jakszyn
- Catalan Institute of Oncology, Barcelona, Spain
- FCS Blanquerna, Universitat Ramon Llull, Barcelona, Spain
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Francesca R Mancini
- Gustave Roussy Institute, Villejuif, France
- University Paris–South, Faculty of Medicine, University Versailles–St Quentin, University Paris-Saclay, Villejuif, France
- National Institute for Health and Medical Research (INSERM), Center for Research in Epidemiology and Population Health, Villejuif, France
| | - Giovanna Masala
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Maria-Dolores Chirlaque
- CIBER Epidemiology and Public Health, Madrid, Spain
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- Department of Health and Social Sciences, Universidad de Murcia, Murcia, Spain
| | - Peter M Nilsson
- Department of Clinical Sciences, Lund University, Skane University Hospital, Malmo, Sweden
| | - Kim Overvad
- Department of Cardiology, Aalborg University Hospital, Aarhus, Denmark
- Section for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Valeria M Pala
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | | | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
- Unit of Epidemiology, Regional Health Service ASL TO3, Grugliasco, Italy
| | - Miguel Rodríguez-Barranco
- CIBER Epidemiology and Public Health, Madrid, Spain
- Andalusian School of Public Health, Institute of Investigation Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), University of Granada, Granada, Spain
| | - Olov Rolandsson
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | - Ivonne Sluijs
- Julius Center for Health Sciences and Primary Care, Cardiovascular Epidemiology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Magdalena Stepien
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC–WHO), Lyon, France
| | | | | | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, “Civic-M.P. Arezzo” Hospital, Ragusa, Italy
| | - Linda E T Vissers
- Julius Center for Health Sciences and Primary Care, Cardiovascular Epidemiology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Heather A Ward
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Claudia Langenberg
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Nita G Forouhi
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Nick J Wareham
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
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41
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Mullee A, Romaguera D, Pearson-Stuttard J, Viallon V, Stepien M, Freisling H, Fagherazzi G, Mancini FR, Boutron-Ruault MC, Kühn T, Kaaks R, Boeing H, Aleksandrova K, Tjønneland A, Halkjær J, Overvad K, Weiderpass E, Skeie G, Parr CL, Quirós JR, Agudo A, Sánchez MJ, Amiano P, Cirera L, Ardanaz E, Khaw KT, Tong TYN, Schmidt JA, Trichopoulou A, Martimianaki G, Karakatsani A, Palli D, Agnoli C, Tumino R, Sacerdote C, Panico S, Bueno-de-Mesquita B, Verschuren WMM, Boer JMA, Vermeulen R, Ramne S, Sonestedt E, van Guelpen B, Holgersson PL, Tsilidis KK, Heath AK, Muller D, Riboli E, Gunter MJ, Murphy N. Association Between Soft Drink Consumption and Mortality in 10 European Countries. JAMA Intern Med 2019; 179:1479-1490. [PMID: 31479109 PMCID: PMC6724165 DOI: 10.1001/jamainternmed.2019.2478] [Citation(s) in RCA: 141] [Impact Index Per Article: 28.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Accepted: 05/12/2019] [Indexed: 12/31/2022]
Abstract
IMPORTANCE Soft drinks are frequently consumed, but whether this consumption is associated with mortality risk is unknown and has been understudied in European populations to date. OBJECTIVE To examine the association between total, sugar-sweetened, and artificially sweetened soft drink consumption and subsequent total and cause-specific mortality. DESIGN, SETTING, AND PARTICIPANTS This population-based cohort study involved participants (n = 451 743 of the full cohort) in the European Prospective Investigation into Cancer and Nutrition (EPIC), an ongoing, large multinational cohort of people from 10 European countries (Denmark, France, Germany, Greece, Italy, the Netherlands, Norway, Spain, Sweden, and the United Kingdom), with participants recruited between January 1, 1992, and December 31, 2000. Excluded participants were those who reported cancer, heart disease, stroke, or diabetes at baseline; those with implausible dietary intake data; and those with missing soft drink consumption or follow-up information. Data analyses were performed from February 1, 2018, to October 1, 2018. EXPOSURE Consumption of total, sugar-sweetened, and artificially sweetened soft drinks. MAIN OUTCOMES AND MEASURES Total mortality and cause-specific mortality. Hazard ratios (HRs) and 95% CIs were estimated using multivariable Cox proportional hazards regression models adjusted for other mortality risk factors. RESULTS In total, 521 330 individuals were enrolled. Of this total, 451 743 (86.7%) were included in the study, with a mean (SD) age of 50.8 (9.8) years and with 321 081 women (71.1%). During a mean (range) follow-up of 16.4 (11.1 in Greece to 19.2 in France) years, 41 693 deaths occurred. Higher all-cause mortality was found among participants who consumed 2 or more glasses per day (vs consumers of <1 glass per month) of total soft drinks (hazard ratio [HR], 1.17; 95% CI, 1.11-1.22; P < .001), sugar-sweetened soft drinks (HR, 1.08; 95% CI, 1.01-1.16; P = .004), and artificially sweetened soft drinks (HR, 1.26; 95% CI, 1.16-1.35; P < .001). Positive associations were also observed between artificially sweetened soft drinks and deaths from circulatory diseases (≥2 glasses per day vs <1 glass per month; HR, 1.52; 95% CI, 1.30-1.78; P < .001) and between sugar-sweetened soft drinks and deaths from digestive diseases (≥1 glass per day vs <1 glass per month; HR, 1.59; 95% CI, 1.24-2.05; P < .001). CONCLUSIONS AND RELEVANCE This study found that consumption of total, sugar-sweetened, and artificially sweetened soft drinks was positively associated with all-cause deaths in this large European cohort; the results are supportive of public health campaigns aimed at limiting the consumption of soft drinks.
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Affiliation(s)
- Amy Mullee
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
- School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Dora Romaguera
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), University Hospital of Son Espases, Palma de Mallorca, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Madrid, Spain
| | - Jonathan Pearson-Stuttard
- School of Public Health, MRC-PHE Centre for Environment and Health, Imperial College London, London, United Kingdom
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Vivian Viallon
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Magdalena Stepien
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Heinz Freisling
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Guy Fagherazzi
- CESP, Faculté de Médecine, Université Paris-Sud, Faculté de Médecine, UVSQ, INSERM, Université Paris-Saclay, Villejuif, France
- Gustave Roussy, F-94805, Villejuif, France
| | - Francesca Romana Mancini
- CESP, Faculté de Médecine, Université Paris-Sud, Faculté de Médecine, UVSQ, INSERM, Université Paris-Saclay, Villejuif, France
- Gustave Roussy, F-94805, Villejuif, France
| | - Marie-Christine Boutron-Ruault
- CESP, Faculté de Médecine, Université Paris-Sud, Faculté de Médecine, UVSQ, INSERM, Université Paris-Saclay, Villejuif, France
- Gustave Roussy, F-94805, Villejuif, France
| | - Tilman Kühn
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Rudolf Kaaks
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition, Potsdam-Rehbrücke, Germany
| | - Krasimira Aleksandrova
- Nutrition, Immunity and Metabolism Start-up Lab, Department of Epidemiology, Potsdam-Rehbrücke, Germany
| | | | - Jytte Halkjær
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Elisabete Weiderpass
- Office of the Director, International Agency for Research on Cancer, Lyon, France
| | - Guri Skeie
- Department of Community Medicine, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Christine L. Parr
- Department of Nursing and Health Promotion, Oslo Metropolitan University, Oslo, Norway
| | | | - Antonio Agudo
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology-IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain
| | - Maria-Jose Sánchez
- Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria Granada, Granada, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Pilar Amiano
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, San Sebastian, Spain
| | - Lluís Cirera
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
| | - Eva Ardanaz
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Kay-Tee Khaw
- University of Cambridge School of Clinical Medicine, Clinical Gerontology Unit, Addenbrooke’s Hospital, Cambridge, United Kingdom
| | - Tammy Y. N. Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Julie A. Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Anna Karakatsani
- Hellenic Health Foundation, Athens, Greece
- Pulmonary Medicine Department, School of Medicine, National and Kapodistrian University of Athens, Attikon University Hospital, Haidari, Greece
| | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network—ISPRO, Florence, Italy
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Civic—M. P. Arezzo Hospital, ASP Ragusa, Ragusa, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University—Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Sperimentale, Federico II University, Naples, Italy
| | - Bas Bueno-de-Mesquita
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands
- Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Pantai Valley, Kuala Lumpur, Malaysia
| | - W. M. Monique Verschuren
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Jolanda M. A. Boer
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Roel Vermeulen
- Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | - Stina Ramne
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Emily Sonestedt
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | | | | | - Konstantinos K. Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Alicia K. Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - David Muller
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Marc J. Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Neil Murphy
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
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Tong TYN, Appleby PN, Bradbury KE, Perez-Cornago A, Travis RC, Clarke R, Key TJ. Risks of ischaemic heart disease and stroke in meat eaters, fish eaters, and vegetarians over 18 years of follow-up: results from the prospective EPIC-Oxford study. BMJ 2019; 366:l4897. [PMID: 31484644 PMCID: PMC6724406 DOI: 10.1136/bmj.l4897] [Citation(s) in RCA: 81] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/10/2019] [Indexed: 12/22/2022]
Abstract
OBJECTIVE To examine the associations of vegetarianism with risks of ischaemic heart disease and stroke. DESIGN Prospective cohort study. SETTING The EPIC-Oxford study, a cohort in the United Kingdom with a large proportion of non-meat eaters, recruited across the country between 1993 and 2001. PARTICIPANTS 48 188 participants with no history of ischaemic heart disease, stroke, or angina (or cardiovascular disease) were classified into three distinct diet groups: meat eaters (participants who consumed meat, regardless of whether they consumed fish, dairy, or eggs; n=24 428), fish eaters (consumed fish but no meat; n=7506), and vegetarians including vegans (n=16 254), based on dietary information collected at baseline, and subsequently around 2010 (n=28 364). MAIN OUTCOME MEASURES Incident cases of ischaemic heart disease and stroke (including ischaemic and haemorrhagic types) identified through record linkage until 2016. RESULTS Over 18.1 years of follow-up, 2820 cases of ischaemic heart disease and 1072 cases of total stroke (519 ischaemic stroke and 300 haemorrhagic stroke) were recorded. After adjusting for sociodemographic and lifestyle confounders, fish eaters and vegetarians had 13% (hazard ratio 0.87, 95% confidence interval 0.77 to 0.99) and 22% (0.78, 0.70 to 0.87) lower rates of ischaemic heart disease than meat eaters, respectively (P<0.001 for heterogeneity). This difference was equivalent to 10 fewer cases of ischaemic heart disease (95% confidence interval 6.7 to 13.1 fewer) in vegetarians than in meat eaters per 1000 population over 10 years. The associations for ischaemic heart disease were partly attenuated after adjustment for self reported high blood cholesterol, high blood pressure, diabetes, and body mass index (hazard ratio 0.90, 95% confidence interval 0.81 to 1.00 in vegetarians with all adjustments). By contrast, vegetarians had 20% higher rates of total stroke (hazard ratio 1.20, 95% confidence interval 1.02 to 1.40) than meat eaters, equivalent to three more cases of total stroke (95% confidence interval 0.8 to 5.4 more) per 1000 population over 10 years, mostly due to a higher rate of haemorrhagic stroke. The associations for stroke did not attenuate after further adjustment of disease risk factors. CONCLUSIONS In this prospective cohort in the UK, fish eaters and vegetarians had lower rates of ischaemic heart disease than meat eaters, although vegetarians had higher rates of haemorrhagic and total stroke.
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Affiliation(s)
- Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Oxford OX3 7LF, UK
| | - Paul N Appleby
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Oxford OX3 7LF, UK
| | - Kathryn E Bradbury
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Oxford OX3 7LF, UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Oxford OX3 7LF, UK
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Oxford OX3 7LF, UK
| | - Robert Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Oxford OX3 7LF, UK
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Tong TYN, Key TJ, Gaitskell K, Green TJ, Guo W, Sanders TA, Bradbury KE. Hematological parameters and prevalence of anemia in white and British Indian vegetarians and nonvegetarians in the UK Biobank. Am J Clin Nutr 2019; 110:461-472. [PMID: 31190054 PMCID: PMC6669054 DOI: 10.1093/ajcn/nqz072] [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] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 04/04/2019] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND There may be differences in hematological parameters between meat-eaters and vegetarians. OBJECTIVE The aim of this study was to perform cross-sectional analyses of hematological parameters by diet group in a large cohort in the United Kingdom. METHODS A complete blood count was carried out in all UK Biobank participants at recruitment (2006-2010). We examined hemoglobin, red and white blood cell counts, and platelet counts and volume in regular meat eaters (>3 times/wk of red/processed meat consumption, n = 212,831), low meat eaters (n = 213,092), poultry eaters (n = 4815), fish eaters (n = 10,042), vegetarians (n = 6548), and vegans (n = 398) of white ethnicity and meat eaters (n = 3875) and vegetarians (n = 1362) of British Indian ethnicity. RESULTS In both white and British Indian populations, compared with regular meat eaters (or meat eaters in Indians), the other diet groups had up to 3.7% lower age-adjusted hemoglobin concentrations (difference not significant in white vegan women) and were generally more likely to have anemia (e.g., 8.7% of regular meat eaters compared with 12.8% of vegetarians in white premenopausal women; P < 0.05 after Bonferroni correction). In the white population, compared with regular meat eaters, all other diet groups had lower age- and sex-adjusted total white cells, neutrophils, lymphocytes, monocytes, and eosinophils (P-heterogeneity < 0.001 for all), but basophil counts were similar across diet groups; in British Indians, there was no significant difference in any of the white blood cell counts by diet group. Compared with white regular meat eaters, the low meat eaters, poultry eaters, fish eaters, and vegans had significantly lower platelet counts and higher platelet volume, whereas vegetarians had higher counts and lower volume. Compared with British Indian meat eaters, vegetarians had higher platelet count and lower volume. CONCLUSIONS In the UK Biobank, people with low or no red meat intake generally had lower hemoglobin concentrations and were slightly more likely to be anemic. The lower white blood cell counts observed in low and non-meat eaters, and differences in mean platelet counts and volume between diet groups, warrant further investigation. This observational study was registered at http://www.isrctn.com/ as ISRCTN10125697.
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Affiliation(s)
- Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, Oxford, United Kingdom
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, Oxford, United Kingdom
| | - Kezia Gaitskell
- Cancer Epidemiology Unit, Nuffield Department of Population Health, Oxford, United Kingdom
- Nuffield Division of Clinical Laboratory Sciences, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Timothy J Green
- Discipline of Paediatrics and Reproductive Health, School of Medicine, University of Adelaide, Adelaide, Australia
| | - Wenji Guo
- Cancer Epidemiology Unit, Nuffield Department of Population Health, Oxford, United Kingdom
| | - Thomas A Sanders
- Department of Nutritional Sciences, King's College London, London, United Kingdom
| | - Kathryn E Bradbury
- Cancer Epidemiology Unit, Nuffield Department of Population Health, Oxford, United Kingdom
- National Institute for Health Innovation, School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
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Jannasch F, Kröger J, Agnoli C, Barricarte A, Boeing H, Cayssials V, Colorado-Yohar S, Dahm CC, Dow C, Fagherazzi G, Franks PW, Freisling H, Gunter MJ, Kerrison ND, Key TJ, Khaw KT, Kühn T, Kyro C, Mancini FR, Mokoroa O, Nilsson P, Overvad K, Palli D, Panico S, García JRQ, Rolandsson O, Sacerdote C, Sánchez MJ, Sahrai MS, Schübel R, Sluijs I, Spijkerman AMW, Tjonneland A, Tong TYN, Tumino R, Riboli E, Langenberg C, Sharp SJ, Forouhi NG, Schulze MB, Wareham NJ. Generalizability of a Diabetes-Associated Country-Specific Exploratory Dietary Pattern Is Feasible Across European Populations. J Nutr 2019; 149:1047-1055. [PMID: 31149710 PMCID: PMC6543295 DOI: 10.1093/jn/nxz031] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Revised: 01/02/2019] [Accepted: 02/06/2019] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Population-specificity of exploratory dietary patterns limits their generalizability in investigations with type 2 diabetes incidence. OBJECTIVE The aim of this study was to derive country-specific exploratory dietary patterns, investigate their association with type 2 diabetes incidence, and replicate diabetes-associated dietary patterns in other countries. METHODS Dietary intake data were used, assessed by country-specific questionnaires at baseline of 11,183 incident diabetes cases and 14,694 subcohort members (mean age 52.9 y) from 8 countries, nested within the European Prospective Investigation into Cancer and Nutrition study (mean follow-up time 6.9 y). Exploratory dietary patterns were derived by principal component analysis. HRs for incident type 2 diabetes were calculated by Prentice-weighted Cox proportional hazard regression models. Diabetes-associated dietary patterns were simplified or replicated to be applicable in other countries. A meta-analysis across all countries evaluated the generalizability of the diabetes-association. RESULTS Two dietary patterns per country/UK-center, of which overall 3 dietary patterns were diabetes-associated, were identified. A risk-lowering French dietary pattern was not confirmed across other countries: pooled HRFrance per 1 SD: 1.00; 95% CI: 0.90, 1.10. Risk-increasing dietary patterns, derived in Spain and UK-Norfolk, were confirmed, but only the latter statistically significantly: HRSpain: 1.09; 95% CI: 0.97, 1.22 and HRUK-Norfolk: 1.12; 95% CI: 1.04, 1.20. Respectively, this dietary pattern was characterized by relatively high intakes of potatoes, processed meat, vegetable oils, sugar, cake and cookies, and tea. CONCLUSIONS Only few country/center-specific dietary patterns (3 of 18) were statistically significantly associated with diabetes incidence in this multicountry European study population. One pattern, whose association with diabetes was confirmed across other countries, showed overlaps in the food groups potatoes and processed meat with identified diabetes-associated dietary patterns from other studies. The study demonstrates that replication of associations of exploratory patterns with health outcomes is feasible and a necessary step to overcome population-specificity in associations from such analyses.
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Affiliation(s)
- Franziska Jannasch
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- NutriAct–Competence Cluster Nutrition Research Berlin-Potsdam, Nuthetal, Germany
| | - Janine Kröger
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Claudia Agnoli
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Aurelio Barricarte
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Valerie Cayssials
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Sandra Colorado-Yohar
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Health Council, IMIB-Arrixaca, Spain
- Research Group on Demography and Health, National Faculty of Public Health, University of Antioquia, Medellín, Colombia
| | - Christina C Dahm
- Section for Epidemiology, Department of Public Health, Aarhus University, Denmark
| | - Courtney Dow
- Inserm, Centre for Research in Epidemiology and Population Health [CESP], Villejuif, France; Université Paris-Sud, Villejuif, France
| | - Guy Fagherazzi
- Inserm, Centre for Research in Epidemiology and Population Health [CESP], Villejuif, France; Université Paris-Sud, Villejuif, France
| | - Paul W Franks
- Department of Clinical Sciences, Lund University, Malmö, Sweden
- Department of Public Health and Clinical Medicine, Umeå University, Sweden
| | - Heinz Freisling
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Marc J Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | | | - Timothy J Key
- Cancer Epidemiology Unit, University of Oxford, Oxford, United Kingdom
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - Tilman Kühn
- German Cancer Research Center [DKFZ], Heidelberg, Germany
| | - Cecilie Kyro
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Francesca Romana Mancini
- Inserm, Centre for Research in Epidemiology and Population Health [CESP], Villejuif, France; Université Paris-Sud, Villejuif, France
| | - Olatz Mokoroa
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Public Health Division of Gipuzkoa, Biodonostia Research Institute, San Sebastian, Spain
| | - Peter Nilsson
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Kim Overvad
- Section for Epidemiology, Department of Public Health, Aarhus University, Denmark
- Department of Cardiology, Center for Cardiovascular Research, Aalborg Hospital, Aarhus University Hospital, Aalborg, Denmark
| | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network—ISPRO, Florence, Italy
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | | | - Olov Rolandsson
- Department of Public Health and Clinical Medicine, Umeå University, Sweden
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Citta’della Salute e della Scienza Hospital-University of Turin and Center for Cancer Prevention (CPO), Torino, Italy
- Human Genetics Foundation (HuGeF), Torino, Italy
| | - Mariá-José Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Andalusian School of Public Health, Granada, Spain
| | - Mohammad Sediq Sahrai
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Ruth Schübel
- German Cancer Research Center [DKFZ], Heidelberg, Germany
| | - Ivonne Sluijs
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | | | | | - Tammy Y N Tong
- Cancer Epidemiology Unit, University of Oxford, Oxford, United Kingdom
| | - Rosario Tumino
- Cancer Registry and Histopathology Unit, ‘Civile – M.P. Arezzo’ Hospital, Ragusa, Italy
- Associazone Iblea per la Ricerca Epidemiologica—Onlus, Ragusa, Italy
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom
| | | | - Stephen J Sharp
- MRC Epidemiology Unit, University of Cambridge, United Kingdom
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge, United Kingdom
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute of Nutritional Sciences, University of Potsdam, Nuthetal, Germany
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Tong TYN, Bradbury KE, Key TJ. RE: "ASSOCIATIONS OF DIETARY PROTEIN INTAKE WITH FAT-FREE MASS AND GRIP STRENGTH: A CROSS-SECTIONAL STUDY IN 146,816 UK BIOBANK PARTICIPANTS". Am J Epidemiol 2019; 188:977-978. [PMID: 30753259 PMCID: PMC6664385 DOI: 10.1093/aje/kwz029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Accepted: 12/03/2018] [Indexed: 12/14/2022] Open
Affiliation(s)
- Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Kathryn E Bradbury
- Cancer Epidemiology Unit, Nuffield Department of Population Health, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
- National Institute for Health Innovation, School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
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Perrier F, Viallon V, Ambatipudi S, Ghantous A, Cuenin C, Hernandez-Vargas H, Chajès V, Baglietto L, Matejcic M, Moreno-Macias H, Kühn T, Boeing H, Karakatsani A, Kotanidou A, Trichopoulou A, Sieri S, Panico S, Fasanelli F, Dolle M, Onland-Moret C, Sluijs I, Weiderpass E, Quirós JR, Agudo A, Huerta JM, Ardanaz E, Dorronsoro M, Tong TYN, Tsilidis K, Riboli E, Gunter MJ, Herceg Z, Ferrari P, Romieu I. Association of leukocyte DNA methylation changes with dietary folate and alcohol intake in the EPIC study. Clin Epigenetics 2019; 11:57. [PMID: 30940212 PMCID: PMC6444439 DOI: 10.1186/s13148-019-0637-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [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: 11/12/2018] [Accepted: 02/20/2019] [Indexed: 12/14/2022] Open
Abstract
Background There is increasing evidence that folate, an important component of one-carbon metabolism, modulates the epigenome. Alcohol, which can disrupt folate absorption, is also known to affect the epigenome. We investigated the association of dietary folate and alcohol intake on leukocyte DNA methylation levels in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Leukocyte genome-wide DNA methylation profiles on approximately 450,000 CpG sites were acquired with Illumina HumanMethylation 450K BeadChip measured among 450 women control participants of a case-control study on breast cancer nested within the EPIC cohort. After data preprocessing using surrogate variable analysis to reduce systematic variation, associations of DNA methylation with dietary folate and alcohol intake, assessed with dietary questionnaires, were investigated using CpG site-specific linear models. Specific regions of the methylome were explored using differentially methylated region (DMR) analysis and fused lasso (FL) regressions. The DMR analysis combined results from the feature-specific analysis for a specific chromosome and using distances between features as weights whereas FL regression combined two penalties to encourage sparsity of single features and the difference between two consecutive features. Results After correction for multiple testing, intake of dietary folate was not associated with methylation level at any DNA methylation site, while weak associations were observed between alcohol intake and methylation level at CpG sites cg03199996 and cg07382687, with qval = 0.029 and qval = 0.048, respectively. Interestingly, the DMR analysis revealed a total of 24 and 90 regions associated with dietary folate and alcohol, respectively. For alcohol intake, 6 of the 15 most significant DMRs were identified through FL. Conclusions Alcohol intake was associated with methylation levels at two CpG sites. Evidence from DMR and FL analyses indicated that dietary folate and alcohol intake may be associated with genomic regions with tumor suppressor activity such as the GSDMD and HOXA5 genes. These results were in line with the hypothesis that epigenetic mechanisms play a role in the association between folate and alcohol, although further studies are warranted to clarify the importance of these mechanisms in cancer. Electronic supplementary material The online version of this article (10.1186/s13148-019-0637-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- F Perrier
- Nutritional Methodology and Biostatistics Group, International Agency for Research on Cancer (IARC), World Health Organization, 150, cours Albert Thomas, 69372, Lyon CEDEX 08, France
| | - V Viallon
- Nutritional Methodology and Biostatistics Group, International Agency for Research on Cancer (IARC), World Health Organization, 150, cours Albert Thomas, 69372, Lyon CEDEX 08, France
| | - S Ambatipudi
- Epigenetics Group, IARC, Lyon, France.,MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
| | | | - C Cuenin
- Epigenetics Group, IARC, Lyon, France
| | | | - V Chajès
- Nutritional Epidemiology Group, IARC, Lyon, France
| | - L Baglietto
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - M Matejcic
- Nutritional Epidemiology Group, IARC, Lyon, France.,Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | | | - T Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - H Boeing
- Department of Epidemiology, German Institute of Human Nutrition (DIfE), Potsdam-Rehbrücke, Germany
| | - A Karakatsani
- Hellenic Health Foundation, Athens, Greece.,2nd Pulmonary Medicine Department, School of Medicine, National and Kapodistrian University of Athens, "ATTIKON" University Hospital, Haidari, Greece
| | - A Kotanidou
- Hellenic Health Foundation, Athens, Greece.,1st Department of Critical Care Medicine and Pulmonary Services, University of Athens Medical School, Evangelismos Hospital, Athens, Greece
| | | | - S Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - S Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - F Fasanelli
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Via Santena 7, Turin, Italy
| | - M Dolle
- National Institute of Public Health and the Environment (RIVM), Centre for Health Protection (pb12), Bilthoven, The Netherlands
| | - C Onland-Moret
- Department of Epidemiology, Julius Center Research Program Cardiovascular Epidemiology, Utrecht, The Netherlands
| | - I Sluijs
- Department of Epidemiology, Julius Center Research Program Cardiovascular Epidemiology, Utrecht, The Netherlands
| | - E Weiderpass
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Genetic Epidemiology Group, Folkhälsan Research Center and Faculty of Medicine, University of Helsinki, Helsinki, Finland.,Department of Community Medicine, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - J R Quirós
- Public Health Directorate, Asturias, Spain
| | - A Agudo
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - J M Huerta
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain.,CIBER Epidemiology and Public Health CIBERESP, Madrid, Spain
| | - E Ardanaz
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain.,CIBER Epidemiology and Public Health CIBERESP, Madrid, Spain.,Navarra Public Health Institute, Pamplona, Spain.,IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - M Dorronsoro
- Public Health Direction and Biodonostia Research Institute and CIBERESP, Basque Regional Health Department, San Sebastian, Spain
| | - T Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - E Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - M J Gunter
- Nutritional Epidemiology Group, IARC, Lyon, France
| | - Z Herceg
- Epigenetics Group, IARC, Lyon, France
| | - P Ferrari
- Nutritional Methodology and Biostatistics Group, International Agency for Research on Cancer (IARC), World Health Organization, 150, cours Albert Thomas, 69372, Lyon CEDEX 08, France.
| | - I Romieu
- Nutritional Epidemiology Group, IARC, Lyon, France
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Papier K, Appleby PN, Fensom GK, Knuppel A, Perez-Cornago A, Schmidt JA, Tong TYN, Key TJ. Vegetarian diets and risk of hospitalisation or death with diabetes in British adults: results from the EPIC-Oxford study. Nutr Diabetes 2019; 9:7. [PMID: 30804320 PMCID: PMC6389979 DOI: 10.1038/s41387-019-0074-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [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: 10/22/2018] [Revised: 11/29/2018] [Accepted: 01/31/2019] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND The global prevalence of diabetes is high and rapidly increasing. Some previous studies have found that vegetarians might have a lower risk of diabetes than non-vegetarians. OBJECTIVE We examined the association between vegetarianism and risk of hospitalisation or death with diabetes in a large, prospective cohort study of British adults. METHODS The analysed cohort included participants from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Oxford study who were diabetes free at recruitment (1993-2001), with available dietary intake data at baseline, and linked hospital admissions and death data for diabetes over follow-up (n = 45,314). Participants were categorised as regular meat eaters (≥50 g per day: n = 15,181); low meat eaters (<50 g of meat per day: n = 7615); fish eaters (ate no meat but consumed fish: n = 7092); and vegetarians (ate no meat or fish, including vegans: n = 15,426). We used multivariable Cox proportional hazards models to assess associations between diet group and risk of diabetes. RESULTS Over a mean of 17.6 years of follow-up, 1224 incident cases of diabetes were recorded. Compared with regular meat eaters, the low meat eaters, fish eaters, and vegetarians were less likely to develop diabetes (hazard ratio (HR) = 0.63, 95% confidence interval (CI) 0.54-0.75; HR = 0.47, 95% CI 0.38-0.59; and HR = 0.63, 95% CI 0.54-0.74, respectively). These associations were substantially attenuated after adjusting for body mass index (BMI) (low meat eaters: HR = 0.78, 95% CI 0.66-0.92; fish eaters: HR = 0.64, 95% CI 0.51-0.80; and vegetarians: HR = 0.89, 95% CI 0.76-1.05). CONCLUSIONS Low meat and non-meat eaters had a lower risk of diabetes, in part because of a lower BMI.
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Affiliation(s)
- Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, UK.
| | - Paul N Appleby
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, UK
| | - Georgina K Fensom
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, UK
| | - Anika Knuppel
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, UK
| | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, UK
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, UK
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Tong TYN, Appleby PN, Bradbury KE, Key TJ. Cross-sectional analyses of participation in cancer screening and use of hormone replacement therapy and medications in meat eaters and vegetarians: the EPIC-Oxford study. BMJ Open 2017; 7:e018245. [PMID: 29284719 PMCID: PMC5770904 DOI: 10.1136/bmjopen-2017-018245] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Revised: 11/20/2017] [Accepted: 11/24/2017] [Indexed: 01/09/2023] Open
Abstract
OBJECTIVES To examine differences in health-related behaviours such as screening or testing for cancer, use of hormone replacement therapy (HRT) and use of other medications in different diet groups. DESIGN We studied 31 260 participants across four diet groups (18 155 meat eaters, 5012 fish eaters, 7179 vegetarians, 914 vegans) in the UK EPIC-Oxford cohort. Information was collected in 5-year (around 2000-2003) or 10-year (around 2007) follow-up questionnaires regarding participation in breast screening, cervical screening, prostate-specific antigen (PSA) testing, use of HRT and use of medications for the past 4 weeks. Using Poisson regression, we estimated the prevalence ratios (PR) for each behaviour across people of different diet groups, using meat eaters as the reference group. RESULTS Compared with meat eaters, vegetarian (PR: 0.94, 95% CI 0.89 to 0.98) and vegan (PR: 0.82, 95% CI 0.71 to 0.95) women reported lower participation in breast screening, and vegetarian men were less likely to report PSA testing (PR: 0.82, 95% CI 0.71 to 0.96). No differences were observed among women for cervical screening. In women, all non-meat-eating groups reported lower use of HRT compared with meat eaters (P heterogeneity <0.0001). Lower reported use of any medication was observed for participants in all non-meat-eating groups with no (P<0.0001) or one (P=0.0002) self-reported illness. No heterogeneity was observed across the diet groups for the reported use of specific medication for high blood pressure, high blood cholesterol, asthma, diabetes and thyroid disease. CONCLUSIONS Differences in self-reported breast screening, PSA testing, HRT use and overall medication use were observed across the diet groups. Whether such differences contribute to differential long-term disease risks requires further study.
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Affiliation(s)
- Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Paul N Appleby
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Kathryn E Bradbury
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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Bradbury KE, Tong TYN, Key TJ. Dietary Intake of High-Protein Foods and Other Major Foods in Meat-Eaters, Poultry-Eaters, Fish-Eaters, Vegetarians, and Vegans in UK Biobank. Nutrients 2017; 9:E1317. [PMID: 29207491 PMCID: PMC5748767 DOI: 10.3390/nu9121317] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [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: 09/29/2017] [Revised: 11/17/2017] [Accepted: 11/28/2017] [Indexed: 11/16/2022] Open
Abstract
Vegetarian diets are defined by the absence of meat and fish, but differences in the intake of other foods between meat-eaters and low or non-meat eaters are also important to document. We examined intakes of high-protein foods (meat, poultry, fish, legumes, nuts, vegetarian protein alternatives, dairy products, and eggs) and other major food groups (fruit, vegetables, bread, pasta, rice, snack foods, and beverages) in regular meat-eaters, low meat-eaters, poultry-eaters, fish-eaters, vegetarians, and vegans of white ethnicity participating in UK Biobank who had completed at least one web-based 24-h dietary assessment (n = 199,944). In regular meat-eaters, around 25% of total energy came from meat, fish, dairy and plant milk, cheese, yogurt, and eggs. In vegetarians, around 20% of energy came from dairy and plant milk, cheese, yoghurt, eggs, legumes, nuts, and vegetarian protein alternatives, and in vegans around 15% came from plant milk, legumes, vegetarian alternatives, and nuts. Low and non-meat eaters had higher intakes of fruit and vegetables and lower intakes of roast or fried potatoes compared to regular meat-eaters. The differences in the intakes of meat, plant-based high-protein foods, and other foods between meat-eaters and low and non-meat eaters in UK Biobank may contribute to differences in health outcomes.
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Affiliation(s)
- Kathryn E Bradbury
- Cancer Epidemiology Unit, Nuffield Department of Population Health, Old Road Campus, Roosevelt Drive, University of Oxford, Oxford OX3 7LF, UK.
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, Old Road Campus, Roosevelt Drive, University of Oxford, Oxford OX3 7LF, UK.
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, Old Road Campus, Roosevelt Drive, University of Oxford, Oxford OX3 7LF, UK.
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Tong TYN, Wareham NJ, Khaw KT, Imamura F, Forouhi NG. Prospective association of the Mediterranean diet with cardiovascular disease incidence and mortality and its population impact in a non-Mediterranean population: the EPIC-Norfolk study. BMC Med 2016; 14:135. [PMID: 27679997 PMCID: PMC5041408 DOI: 10.1186/s12916-016-0677-4] [Citation(s) in RCA: 114] [Impact Index Per Article: 14.3] [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: 07/02/2016] [Accepted: 08/19/2016] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Despite convincing evidence in the Mediterranean region, the cardiovascular benefit of the Mediterranean diet is not well established in non-Mediterranean countries and the optimal criteria for defining adherence are unclear. The population attributable fraction (PAF) of adherence to this diet is also unknown. METHODS In the UK-based EPIC-Norfolk prospective cohort, we evaluated habitual diets assessed at baseline (1993-1997) and during follow-up (1998-2000) using food-frequency questionnaires (n = 23,902). We estimated a Mediterranean diet score (MDS) using cut-points projected from the Mediterranean dietary pyramid, and also three other pre-existing MDSs. Using multivariable-adjusted Cox regression with repeated measures of MDS and covariates, we examined prospective associations between each MDS with incident cardiovascular diseases (CVD) by 2009 and mortality by 2013, and estimated PAF for each outcome attributable to low MDS. RESULTS We observed 7606 incident CVD events (2818/100,000 person-years) and 1714 CVD deaths (448/100,000). The MDS based on the Mediterranean dietary pyramid was significantly associated with lower incidence of the cardiovascular outcomes, with hazard ratios (95 % confidence intervals) of 0.95 (0.92-0.97) per one standard deviation for incident CVD and 0.91 (0.87-0.96) for CVD mortality. Associations were similar for composite incident ischaemic heart disease and all-cause mortality. Other pre-existing MDSs showed similar, but more modest associations. PAF due to low dietary pyramid based MDS (<95th percentile) was 3.9 % (1.3-6.5 %) for total incident CVD and 12.5 % (4.5-20.6 %) for CVD mortality. CONCLUSIONS Greater adherence to the Mediterranean diet was associated with lower CVD incidence and mortality in the UK. This diet has an important population health impact for the prevention of CVD.
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Affiliation(s)
- Tammy Y. N. Tong
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Nicholas J. Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Nita G. Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
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