1. Long-term risk of incident type 2 Diabetes and measures of overall and regional obesity: The EPIC-InterAct Case-Cohort Study
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Nicola D. Kerrison, Olov Rolandsson, Joachim Spranger, Nicholas J. Wareham, Kay-Tee Khaw, Luigi Palla, Carlos González, Heiner Boeing, Nita G. Forouhi, Ivonne Sluijs, María José Tormo, Joline W.J. Beulens, Kim Overvad, Matthias B. Schulze, Isabelle Romieu, Beverley Balkau, Francesca L. Crowe, Domenico Palli, María José Sánchez, J. Ramón Quirós, Claudia Langenberg, Yvonne T. van der Schouw, Dora Romaguera, Nadia Slimani, Paul W. Franks, Rosario Tumino, Eva Ardanaz, Göran Hallmans, Stephen J. Sharp, José María Huerta, Anne Tjønneland, Birgit Teucher, H. Bas Bueno-de-Mesquita, Salvatore Panico, Edith J. M. Feskens, Teresa Norat, L. van der A. Daphne, Carlotta Sacerdote, Elio Riboli, Annemieke M.W. Spijkerman, Blandine de Lauzon-Guillan, Peter M. Nilsson, Dagmar Drogan, Timothy J. Key, Sara Grioni, Rudolf Kaaks, Jytte Halkjær, Larraitz Arriola, Amalia Mattiello, Françoise Clavel-Chapelon, The InterAct Consortium, [Langenberg,C, Sharp,SJ, Forouhi,NG, Kerrison,ND, Palla,L, Wareham,NJ] MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom. [Schulze,MB] Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Arthur-Scheunert-Allee, Nuthetal, Germany. [Rolandsson,O, Hallmans,G] Department of Public Health and Clinical Medicine, Umea University, Norrlands Universitetsjukhus, Umea, Sweden. [Overvad,K] Department of Epidemiology, School of Public Health, Aarhus C, Denmark. [Spranger.J] Charité-Universitatsmedizin Berlin, Department of Endocrinology, Diabetes and Nutrition, Berlin, Germany. [Drogan,D, Boeing,H] Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.[Arriola,L, Tormo,MJ] Department of Epidemiology, Murcia Regional Health Council, Murcia, Spain. [Huerta,JM, Arriola,L, Tormo,MJ, Ardanaz,E, Sánchez,MJ] Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pu´ blica), Madrid, Spain . [Arriola,L] Public Health Division of Gipuzkoa, Basque Government, San Sebastian, Spain. Instituto BIO-Donostia, Hospital Donostia, Donostia, Basque Country. [Lauzon-Guillan,B, Balkau,B] INSERM, CESP Centre for Research in Epidemiology and Population Health, U1018: Epidemiology of Diabetes, Obesity and Chronic Kidney Disease over the Lifecourse, Villejuif Cedex, France. University Paris, Villejuif Cedex, France. [Ardanaz,E] Navarre Public Health Institute, Pamplona, Navarra, Spain. [Beulens,JWJ, Sluijs,I, Schouw,T] Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands. [Bueno-de-Mesquita,HB] National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands. [Clavel-Chapelon,F] INSERM, CESP Centre for Research in Epidemiology and Population Health,U1018: Nutrition, Hormones and Women’s Health, IGR, Villejuif Cedex, France. [Crowe,FL, Key,TJ] Cancer Epidemiology Unit, Nuffield Department of Clinical Medicine, University of Oxford,Richard Doll Building, Roosevelt Drive, Oxford, United Kingdom. [Grioni,S] Fondazione IRCCS Istituto Nazionale Tumori Milan, Milan, Italy. [Halkjaer,J, Tjonneland,A] Danish Cancer Society Research Center, Copenhagen, Denmark. [Kerrison,ND, Teucher,B] German Cancer Research Centre, Heidelberg, Germany. [Khaw,KT] Department of Public Health and Primary Care, University of Cambridge Addenbrooke’s Hospital, Cambridge, United Kingdom. [Mattiello,A] Department of Clinical and Experimental Medicine Federico II University, Naples, Italy. [Nilsson,P, Panico,S] University of Lund, Department of Clinical Sciences Medicine, University Hospital Scania, Malmo, Sweden. [Norat,T, Romaguera,D, Riboli,E] Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, United Kingdom. [Palli,D] Molecular and Nutritional Epidemiology Unit, ISPO Ponte Nuovo, Florence, Italy. [Quirós, JR] Public Health Directorate, Oviedo, Spain. [Romieu,I, Slimani,N] International Agency for Research on Cancer, Lyon Cedex, France. [Sacerdote,C] Center for Cancer Prevention (CPO-Piemonte), Torino, Italy. Human Genetics Foundation (HuGeF), Torino, Italy. [Sánchez,MJ] Andalusian School of Public Health, Granada, Spain. [Spijkerman,AMW, A Daphne,L] National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands. [Tumino,R] Cancer Registry and Histopathology Unit, ‘‘Civile - M.P. Arezzo’’ Hospital, Dante Ragusa, Italy. [Feskens,EJM] Division of Human Nutrition - Section Nutrition and Epidemiology, University of Wageningen, Wageningen, The Netherlands. [Franks,PW] Department of Clinical Sciences, Clinical Research Center, Ska°ne University Hospital, Lund University, Malmö , Sweden. [Bueno-de-Mesquita,HB] Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands., Funding: EU Integrated Project LSHM-CT-2006-037197. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. InterAct investigators acknowledge funding from the following agencies: KO: Danish Cancer Society, JS: ‘Heisenberg-Professorship (SP716/2-1), clinical research group (KFO218/1), and a research group (Molecular Nutrition to JS) support of the Bundesministerium fu¨ r Bildung und Forschung (BMBF), MJT: Health Research Fund (FIS) of the Spanish Ministry of Health, the CIBER en Epidemiologı´a y Salud Pu´ blica (CIBERESP), Spain, Murcia Regional Government (Nu 6236), JWJB, HBBdM, IS, AMWS, DLvdA, YTvdS: Dutch Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands, verification of diabetes cases was additionally funded by NL Agency grant IGE05012 and an Incentive Grant from the Board of the UMC Utrecht, FLC: Cancer Research UK, PWF: Swedish Research Council, Novo Nordisk, Swedish Diabetes Association, Swedish Heart-Lung Foundation, GH: The county of Va¨sterbotten, RK: German Cancer Aid, Federal Ministry of Education and Research, TJK: Cancer Research UK, KK: Medical Research Council UK, Cancer Research UK, PN: Swedish Research Council, JRQ: Asturias Regional Government, BT: German Cancer Aid, Federal Ministry of Education and Research, AT: Danish Cancer Society, RT: AIRE-ONLUS Ragusa, AVIS-Ragusa, Sicilian Regional Government., Epidemiology and Data Science, ACS - Diabetes & metabolism, ACS - Heart failure & arrhythmias, APH - Health Behaviors & Chronic Diseases, Langenberg, C, Sharp, Sj, Schulze, Mb, Rolandsson, O, Overvad, K, Forouhi, Ng, Spranger, J, Drogan, D, Huerta, Jm, Arriola, L, de Lauzon Guillan, B, Tormo, Mj, Ardanaz, E, Balkau, B, Beulens, Jw, Boeing, H, Bueno de Mesquita, Hb, Clavel Chapelon, F, Crowe, Fl, Franks, Pw, Gonzalez, Ca, Grioni, S, Halkjaer, J, Hallmans, G, Kaaks, R, Kerrison, Nd, Key, Tj, Khaw, Kt, Mattiello, A, Nilsson, P, Norat, T, Palla, L, Palli, D, Panico, Salvatore, Quir?s, Jr, Romaguera, D, Romieu, I, Sacerdote, C, S?nchez, Mj, Slimani, N, Sluijs, I, Spijkerman, Am, Teucher, B, Tjonneland, A, Tumino, R, van der A., Dl, van der Schouw, Yt, Feskens, Ej, Riboli, E, Wareham, Nj, and Interact, Consortium
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Male ,Gerontology ,Índice de Masa Corporal ,Time Factors ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Models, Statistical::Proportional Hazards Models [Medical Subject Headings] ,Nutrition and Disease ,Epidemiology ,Phenomena and Processes::Physical Phenomena::Time::Time Factors [Medical Subject Headings] ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Physical Examination::Anthropometry [Medical Subject Headings] ,body-mass index ,Diabetes Mellitus Tipo 2 ,Named Groups::Persons::Age Groups::Adult::Middle Aged [Medical Subject Headings] ,Overweight ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Probability::Risk::Risk Factors [Medical Subject Headings] ,Body Mass Index ,Cohort Studies ,Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings] ,Endocrinology ,prevention ,Risk Factors ,Voeding en Ziekte ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Physical Examination::Body Constitution::Body Weights and Measures::Body Size::Waist Circumference [Medical Subject Headings] ,Cumulative incidence ,Longitudinal Studies ,Prospective Studies ,Nutrition and Dietetics ,Anthropometry ,Incidence ,primary-care ,Hazard ratio ,Absolute risk reduction ,Geographicals::Geographic Locations::Europe [Medical Subject Headings] ,General Medicine ,Middle Aged ,waist circumference ,Europe ,Näringslära ,nutrition ,Cohort ,Medicine ,Diseases::Nutritional and Metabolic Diseases::Metabolic Diseases::Glucose Metabolism Disorders::Diabetes Mellitus::Diabetes Mellitus, Type 2 [Medical Subject Headings] ,Female ,medicine.symptom ,Life Sciences & Biomedicine ,Research Article ,Cohort study ,Clinical Research Design ,abdominal adiposity ,Check Tags::Male [Medical Subject Headings] ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Physical Examination::Body Constitution::Body Weights and Measures::Body Mass Index [Medical Subject Headings] ,Endocrinology and Diabetes ,Medicine, General & Internal ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Data Collection::Vital Statistics::Morbidity::Incidence [Medical Subject Headings] ,General & Internal Medicine ,medicine ,Humans ,cancer ,Obesity ,Risk factor ,Proportional Hazards Models ,VLAG ,Diabetic Endocrinology ,Science & Technology ,business.industry ,association ,nutritional and metabolic diseases ,Diabetes Mellitus Type 2 ,Diseases::Nutritional and Metabolic Diseases::Nutrition Disorders::Overnutrition::Obesity [Medical Subject Headings] ,Diabetes Mellitus, Type 2 ,Antropometría ,Check Tags::Female [Medical Subject Headings] ,Other Clinical Medicine ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies [Medical Subject Headings] ,Meta-Analyses ,participants ,business ,Estudios de Cohortes ,Body mass index ,Demography ,mellitus - Abstract
A collaborative re-analysis of data from the InterAct case-control study conducted by Claudia Langenberg and colleagues has established that waist circumference is associated with risk of type 2 diabetes, independently of body mass index., Background Waist circumference (WC) is a simple and reliable measure of fat distribution that may add to the prediction of type 2 diabetes (T2D), but previous studies have been too small to reliably quantify the relative and absolute risk of future diabetes by WC at different levels of body mass index (BMI). Methods and Findings The prospective InterAct case-cohort study was conducted in 26 centres in eight European countries and consists of 12,403 incident T2D cases and a stratified subcohort of 16,154 individuals from a total cohort of 340,234 participants with 3.99 million person-years of follow-up. We used Prentice-weighted Cox regression and random effects meta-analysis methods to estimate hazard ratios for T2D. Kaplan-Meier estimates of the cumulative incidence of T2D were calculated. BMI and WC were each independently associated with T2D, with WC being a stronger risk factor in women than in men. Risk increased across groups defined by BMI and WC; compared to low normal weight individuals (BMI 18.5–22.4 kg/m2) with a low WC (102/88 cm). Among the large group of overweight individuals, WC measurement was highly informative and facilitated the identification of a subgroup of overweight people with high WC whose 10-y T2D cumulative incidence (men, 70 per 1,000 person-years; women, 44 per 1,000 person-years) was comparable to that of the obese group (50–103 per 1,000 person-years in men and 28–74 per 1,000 person-years in women). Conclusions WC is independently and strongly associated with T2D, particularly in women, and should be more widely measured for risk stratification. If targeted measurement is necessary for reasons of resource scarcity, measuring WC in overweight individuals may be an effective strategy, since it identifies a high-risk subgroup of individuals who could benefit from individualised preventive action. Please see later in the article for the Editors' Summary, Editors' Summary Background Worldwide, more than 350 million people have diabetes, and this number is increasing rapidly. Diabetes is characterized by dangerous levels of glucose (sugar) in the blood. Blood sugar levels are usually controlled by insulin, a hormone that the pancreas releases after meals (digestion of food produces glucose). In people with type 2 diabetes (the commonest form of diabetes), blood sugar control fails because the fat and muscle cells that normally respond to insulin by removing sugar from the blood become insulin resistant. Type 2 diabetes can be controlled with diet and exercise, and with drugs that help the pancreas make more insulin or that make cells more sensitive to insulin. The long-term complications of diabetes, which include an increased risk of heart disease and stroke, reduce the life expectancy of people with diabetes by about 10 years compared to people without diabetes. Why Was This Study Done? A high body mass index (BMI, a measure of body fat calculated by dividing a person's weight in kilograms by their height in meters squared) is a strong predictor of type 2 diabetes. Although the risk of diabetes is greatest in obese people (who have a BMI of greater than 30 kg/m2), many of the people who develop diabetes are overweight—they have a BMI of 25–30 kg/m2. Healthy eating and exercise reduce the incidence of diabetes in high-risk individuals, but it is difficult and expensive to provide all overweight and obese people with individual lifestyle advice. Ideally, a way is needed to distinguish between people with high and low risk of developing diabetes at different levels of BMI. Waist circumference is a measure of fat distribution that has the potential to quantify diabetes risk among people with different BMIs because it estimates the amount of fat around the abdominal organs, which also predicts diabetes development. In this case-cohort study, the researchers use data from the InterAct study (which is investigating how genetics and lifestyle interact to affect diabetes risk) to estimate the long-term risk of type 2 diabetes associated with BMI and waist circumference. A case-cohort study measures exposure to potential risk factors in a group (cohort) of people and compares the occurrence of these risk factors in people who later develop the disease and in a randomly chosen subcohort. What Did the Researchers Do and Find? The researchers estimated the association of BMI and waist circumference with type 2 diabetes from baseline measurements of the weight, height, and waist circumference of 12,403 people who subsequently developed type 2 diabetes and a subcohort of 16,154 participants enrolled in the European Prospective Investigation into Cancer and Nutrition (EPIC). Both risk factors were independently associated with type 2 diabetes risk, but waist circumference was a stronger risk factor in women than in men. Obese men (BMI greater than 35 kg/m2) with a high waist circumference (greater than 102 cm) were 22 times more likely to develop diabetes than men with a low normal weight (BMI 18.5–22.4 kg/m2) and a low waist circumference (less than 94 cm); obese women with a waist circumference of more than 88 cm were 31.8 times more likely to develop type 2 diabetes than women with a low normal weight and waist circumference (less than 80 cm). Importantly, among overweight people, waist circumference measurements identified a subgroup of overweight people (those with a high waist circumference) whose 10-year cumulative incidence of type 2 diabetes was similar to that of obese people. What Do These Findings Mean? These findings indicate that, among people of European descent, waist circumference is independently and strongly associated with type 2 diabetes, particularly among women. Additional studies are needed to confirm this association in other ethnic groups. Targeted measurement of waist circumference in overweight individuals (who now account for a third of the US and UK adult population) could be an effective strategy for the prevention of diabetes because it would allow the identification of a high-risk subgroup of people who might benefit from individualized lifestyle advice. Additional Information Please access these web sites via the online version of this summary at http://dx.doi.org/10.1371/journal.pmed.1001230. The US National Diabetes Information Clearinghouse provides information about diabetes for patients, health care professionals, and the general public, including detailed information on diabetes prevention (in English and Spanish) The US Centers for Disease Control and Prevention provides information on all aspects of overweight and obesity (including some information in Spanish) The UK National Health Service Choices website provides information for patients and carers about type 2 diabetes, about the prevention of type 2 diabetes, and about obesity; it also includes peoples stories about diabetes and about obesity The charity Diabetes UK also provides detailed information for patients and carers, including information on healthy lifestyles for people with diabetes, and has a further selection of stories from people with diabetes; the charity Healthtalkonline has interviews with people about their experiences of diabetes More information on the InterAct study is available MedlinePlus provides links to further resources and advice about diabetes and diabetes prevention and about obesity (in English and Spanish)
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- 2012
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