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Zuziak M, Ezzati M. Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults. Lancet 2024; 403:1027-1050. [PMID: 38432237 PMCID: PMC7615769 DOI: 10.1016/s0140-6736(23)02750-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/22/2023] [Accepted: 12/05/2023] [Indexed: 03/05/2024]
Abstract
BACKGROUND Underweight and obesity are associated with adverse health outcomes throughout the life course. We estimated the individual and combined prevalence of underweight or thinness and obesity, and their changes, from 1990 to 2022 for adults and school-aged children and adolescents in 200 countries and territories. METHODS We used data from 3663 population-based studies with 222 million participants that measured height and weight in representative samples of the general population. We used a Bayesian hierarchical model to estimate trends in the prevalence of different BMI categories, separately for adults (age ≥20 years) and school-aged children and adolescents (age 5-19 years), from 1990 to 2022 for 200 countries and territories. For adults, we report the individual and combined prevalence of underweight (BMI <18·5 kg/m2) and obesity (BMI ≥30 kg/m2). For school-aged children and adolescents, we report thinness (BMI <2 SD below the median of the WHO growth reference) and obesity (BMI >2 SD above the median). FINDINGS From 1990 to 2022, the combined prevalence of underweight and obesity in adults decreased in 11 countries (6%) for women and 17 (9%) for men with a posterior probability of at least 0·80 that the observed changes were true decreases. The combined prevalence increased in 162 countries (81%) for women and 140 countries (70%) for men with a posterior probability of at least 0·80. In 2022, the combined prevalence of underweight and obesity was highest in island nations in the Caribbean and Polynesia and Micronesia, and countries in the Middle East and north Africa. Obesity prevalence was higher than underweight with posterior probability of at least 0·80 in 177 countries (89%) for women and 145 (73%) for men in 2022, whereas the converse was true in 16 countries (8%) for women, and 39 (20%) for men. From 1990 to 2022, the combined prevalence of thinness and obesity decreased among girls in five countries (3%) and among boys in 15 countries (8%) with a posterior probability of at least 0·80, and increased among girls in 140 countries (70%) and boys in 137 countries (69%) with a posterior probability of at least 0·80. The countries with highest combined prevalence of thinness and obesity in school-aged children and adolescents in 2022 were in Polynesia and Micronesia and the Caribbean for both sexes, and Chile and Qatar for boys. Combined prevalence was also high in some countries in south Asia, such as India and Pakistan, where thinness remained prevalent despite having declined. In 2022, obesity in school-aged children and adolescents was more prevalent than thinness with a posterior probability of at least 0·80 among girls in 133 countries (67%) and boys in 125 countries (63%), whereas the converse was true in 35 countries (18%) and 42 countries (21%), respectively. In almost all countries for both adults and school-aged children and adolescents, the increases in double burden were driven by increases in obesity, and decreases in double burden by declining underweight or thinness. INTERPRETATION The combined burden of underweight and obesity has increased in most countries, driven by an increase in obesity, while underweight and thinness remain prevalent in south Asia and parts of Africa. A healthy nutrition transition that enhances access to nutritious foods is needed to address the remaining burden of underweight while curbing and reversing the increase in obesity. FUNDING UK Medical Research Council, UK Research and Innovation (Research England), UK Research and Innovation (Innovate UK), and European Union.
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Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants. Lancet 2021; 398:957-980. [PMID: 34450083 PMCID: PMC8446938 DOI: 10.1016/s0140-6736(21)01330-1] [Citation(s) in RCA: 938] [Impact Index Per Article: 312.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 06/01/2021] [Accepted: 06/03/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Hypertension can be detected at the primary health-care level and low-cost treatments can effectively control hypertension. We aimed to measure the prevalence of hypertension and progress in its detection, treatment, and control from 1990 to 2019 for 200 countries and territories. METHODS We used data from 1990 to 2019 on people aged 30-79 years from population-representative studies with measurement of blood pressure and data on blood pressure treatment. We defined hypertension as having systolic blood pressure 140 mm Hg or greater, diastolic blood pressure 90 mm Hg or greater, or taking medication for hypertension. We applied a Bayesian hierarchical model to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control). The model allowed for trends over time to be non-linear and to vary by age. FINDINGS The number of people aged 30-79 years with hypertension doubled from 1990 to 2019, from 331 (95% credible interval 306-359) million women and 317 (292-344) million men in 1990 to 626 (584-668) million women and 652 (604-698) million men in 2019, despite stable global age-standardised prevalence. In 2019, age-standardised hypertension prevalence was lowest in Canada and Peru for both men and women; in Taiwan, South Korea, Japan, and some countries in western Europe including Switzerland, Spain, and the UK for women; and in several low-income and middle-income countries such as Eritrea, Bangladesh, Ethiopia, and Solomon Islands for men. Hypertension prevalence surpassed 50% for women in two countries and men in nine countries, in central and eastern Europe, central Asia, Oceania, and Latin America. Globally, 59% (55-62) of women and 49% (46-52) of men with hypertension reported a previous diagnosis of hypertension in 2019, and 47% (43-51) of women and 38% (35-41) of men were treated. Control rates among people with hypertension in 2019 were 23% (20-27) for women and 18% (16-21) for men. In 2019, treatment and control rates were highest in South Korea, Canada, and Iceland (treatment >70%; control >50%), followed by the USA, Costa Rica, Germany, Portugal, and Taiwan. Treatment rates were less than 25% for women and less than 20% for men in Nepal, Indonesia, and some countries in sub-Saharan Africa and Oceania. Control rates were below 10% for women and men in these countries and for men in some countries in north Africa, central and south Asia, and eastern Europe. Treatment and control rates have improved in most countries since 1990, but we found little change in most countries in sub-Saharan Africa and Oceania. Improvements were largest in high-income countries, central Europe, and some upper-middle-income and recently high-income countries including Costa Rica, Taiwan, Kazakhstan, South Africa, Brazil, Chile, Turkey, and Iran. INTERPRETATION Improvements in the detection, treatment, and control of hypertension have varied substantially across countries, with some middle-income countries now outperforming most high-income nations. The dual approach of reducing hypertension prevalence through primary prevention and enhancing its treatment and control is achievable not only in high-income countries but also in low-income and middle-income settings. FUNDING WHO.
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SR, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zargar AH, Ko Zaw K, Zdrojewski T, Zejglicova K, Vrkic TZ, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zins M, Zitt E, Zocalo Y, Cisneros JZ, Zuziak M, Ezzati M, Filippi S. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight. eLife 2021; 10:e60060. [PMID: 33685583 PMCID: PMC7943191 DOI: 10.7554/elife.60060] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 01/07/2021] [Indexed: 02/05/2023] Open
Abstract
From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Nayu Ikeda
- National Institutes of Biomedical Innovation, Health and Nutrition
| | | | | | | | - Jing Liu
- Capital Medical University Beijing An Zhen Hospital
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- University of Copenhagen
- Copenhagen University Hospital
| | | | | | | | | | | | | | - Ali Ahmadi
- Shahrekord University of Medical Sciences
| | | | | | | | | | - Kamel Ajlouni
- National Center for Diabetes, Endocrinology and Genetics
| | | | | | | | | | | | | | | | | | | | | | | | - Eman Aly
- World Health Organization Regional Office for the Eastern Mediterranean
| | | | - Parisa Amiri
- Research Center for Social Determinants of Health
| | | | | | | | | | | | | | | | | | - Joana Araújo
- Institute of Public Health of the University of Porto
| | | | | | | | | | | | | | | | | | | | | | | | - Shina Avi
- Tel-Aviv University
- Hebrew University of Jerusalem
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Abdul Basit
- Baqai Institute of Diabetology and Endocrinology
| | | | | | | | | | | | | | | | | | | | | | | | - Judith Benedics
- Federal Ministry of Social Affairs, Health, Care and Consumer Protection
| | | | | | | | | | | | | | | | | | | | | | | | - Hongsheng Bi
- Shandong University of Traditional Chinese Medicine
| | - Yufang Bi
- Shanghai Jiao-Tong University School of Medicine
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - João Breda
- World Health Organization Regional Office for Europe
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- Council for Agricultural Research and Economics
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- The Gertner Institute for Epidemiology and Health Policy Research
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- Canadian Fitness and Lifestyle Research Institute
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Rachel Dankner
- The Gertner Institute for Epidemiology and Health Policy Research
| | | | | | | | - Luc Dauchet
- University of Lille
- Lille University Hospital
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- Beijing Center for Disease Prevention and Control
| | | | | | | | | | | | | | - Anar Dushpanova
- Scuola Superiore Sant'Anna
- Al-Farabi Kazakh National University
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Günther Fink
- Swiss Tropical and Public Health Institute
- University of Basel
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- World Health Organization Regional Office for the Eastern Mediterranean
| | | | | | | | | | | | | | | | | | | | | | | | - Mihai Gafencu
- Victor Babes University of Medicine and Pharmacy Timisoara
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- Institut National de la Santé et de la Recherche Médicale
- Paris University
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Yin Guo
- Capital Medical University Beijing Tongren Hospital
| | | | - Rajeev Gupta
- Eternal Heart Care Centre and Research Institute
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- Beijing Institute of Ophthalmology
| | | | | | | | | | | | | | - Yuan He
- National Research Institute for Health and Family Planning
| | - Yuna He
- Chinese Center for Disease Control and Prevention
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- Institute of Public Health of the University of Porto
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- Institute of Molecular and Clinical Ophthalmology Basel
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- French National Research Institute for Sustainable Development
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- Johns Hopkins Bloomberg School of Public Health
| | | | | | | | | | | | | | | | | | - Roya Kelishadi
- Research Institute for Primordial Prevention of Non-communicable Disease
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- PASs Hirszfeld Institute of Immunology and Experimental Therapy
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- French National Research Institute for Sustainable Development
| | - Vera Lanska
- Institute for Clinical and Experimental Medicine
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- University of Chinese Academy of Sciences
| | | | | | | | | | | | - Lijuan Liu
- Capital Medical University Beijing Tongren Hospital
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- National Research Institute for Health and Family Planning
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- Institute of Neuroscience of the National Research Council
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- French National Research Institute for Sustainable Development
| | | | | | - Päivi Mäki
- Finnish Institute for Health and Welfare
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- CIBERCV
- Institut Hospital del Mar d'Investigacions Mèdiques
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- Capital Institute of Pediatrics
| | | | | | | | | | | | | | - GK Mini
- Women’s Social and Health Studies Foundation
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- University of Strasbourg
- Strasbourg University Hospital
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- Instituto Conmemorativo Gorgas de Estudios de la Salud
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- Banska Bystrica Regional Authority of Public Health
| | | | | | | | | | | | | | | | | | | | - Keiu Nelis
- National Institute for Health Development
| | - Liis Nelis
- National Institute for Health Development
| | | | | | | | | | | | | | | | - Yury P Nikitin
- SB RAS Federal Research Center Institute of Cytology and Genetics
| | - Guang Ning
- Shanghai Jiao-Tong University School of Medicine
| | | | | | - Marianna Noale
- Institute of Neuroscience of the National Research Council
| | | | | | | | | | | | | | | | | | | | - Eha Nurk
- National Institute for Health Development
| | | | | | | | | | | | | | - Kyungwon Oh
- Korea Centers for Disease Control and Prevention
| | | | - Claes Ohlsson
- University of Gothenburg
- Sahlgrenska University Hospital
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Domenico Palli
- Institute for Cancer Research, Prevention and Clinical Network
| | | | | | | | | | | | - Francesco Panza
- IRCCS Ente Ospedaliero Specializzato in Gastroenterologia S. de Bellis
| | | | | | - Suyeon Park
- Korea Centers for Disease Control and Prevention
| | | | | | - Ionela M Pascanu
- University of Medicine, Pharmacy, Science and Technology of Târgu Mures
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Iris Pigeot
- Leibniz Institute for Prevention Research and Epidemiology - BIPS
| | | | | | | | | | | | | | | | | | | | | | - Raluca M Pop
- University of Medicine, Pharmacy, Science and Technology of Târgu Mures
| | | | - Miquel Porta
- Institut Hospital del Mar d'Investigacions Mèdiques
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Maria Puiu
- Victor Babes University of Medicine and Pharmacy Timisoara
| | | | | | | | | | | | | | | | | | | | | | - Manu Raj
- Amrita Institute of Medical Sciences
| | | | | | - Ivo Rakovac
- World Health Organization Regional Office for Europe
| | | | | | | | | | - Rafel Ramos
- Institut Universitari d'Investigació en Atenció Primària Jordi Gol
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Ana Rito
- National Institute of Health Doutor Ricardo Jorge
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Paola Russo
- Institute of Food Sciences of the National Research Council
| | | | | | | | | | | | | | | | | | - Nader Saki
- Ahvaz Jundishapur University of Medical Sciences
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Savvas Savva
- Research and Education Institute of Child Health
| | - Mathilde Savy
- French National Research Institute for Sustainable Development
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Aletta E Schutte
- University of New South Wales
- The George Institute for Global Health
| | | | | | | | - Abhijit Sen
- Center for Oral Health Services and Research Mid-Norway
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Alfonso Siani
- Institute of Food Sciences of the National Research Council
| | | | | | | | | | | | | | | | | | | | | | | | | | - Liam Smeeth
- London School of Hygiene & Tropical Medicine
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Igor Spiroski
- Institute of Public Health
- Ss. Cyril and Methodius University
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Lela Sturua
- National Center for Disease Control and Public Health
| | | | | | | | | | | | | | | | | | | | | | | | | | - Lucjan Szponar
- National Institute of Public Health – National Institute of Hygiene
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Pierre Traissac
- French National Research Institute for Sustainable Development
| | | | | | | | - Oanh TH Trinh
- University of Medicine and Pharmacy at Ho Chi Minh City
| | | | | | | | | | | | | | | | | | | | | | - Gilad Twig
- Tel-Aviv University
- Hebrew University of Jerusalem
| | | | | | | | | | - Eunice Ugel
- Universidad Centro-Occidental Lisandro Alvarado
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Anette Varbo
- Copenhagen University Hospital
- University of Copenhagen
| | | | | | | | - Tomas Vega
- Consejería de Sanidad Junta de Castilla y León
| | | | | | | | | | | | | | | | - Lucie Viet
- National Institute for Public Health and the Environment
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Ningli Wang
- Capital Medical University Beijing Tongren Hospital
| | | | | | | | | | | | | | - Adelheid Weber
- Federal Ministry of Social Affairs, Health, Care and Consumer Protection
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Bogdan Wojtyniak
- National Institute of Public Health - National Institute of Hygiene
| | | | | | | | | | - Jean Woo
- The Chinese University of Hong Kong
| | | | | | - Jianfeng Wu
- Shandong University of Traditional Chinese Medicine
| | | | | | - Haiquan Xu
- Institute of Food and Nutrition Development of Ministry of Agriculture and Rural Affairs
| | - Liang Xu
- Beijing Institute of Ophthalmology
| | | | | | - Weili Yan
- Children's Hospital of Fudan University
| | | | | | - Yang Yang
- Shanghai Educational Development Co. Ltd
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- Peking University
- Duke University
| | | | | | - Dong Zhao
- Capital Medical University Beijing An Zhen Hospital
| | | | - Wenhua Zhao
- Chinese Center for Disease Control and Prevention
| | - Shiqi Zhen
- Jiangsu Provincial Center for Disease Control and Prevention
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- Chinese Center for Disease Control and Prevention
| | - Dan Zhu
- Inner Mongolia Medical University
| | - Marie Zins
- Institut National de la Santé et de la Recherche Médicale
- Paris University
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X, Yiallouros PK, Yoosefi M, Yoshihara A, You QS, You SL, Younger-Coleman NO, Yusof SM, Yusoff AF, Zaccagni L, Zafiropulos V, Zainuddin AA, Zakavi SR, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zargar AH, Zaw KK, Zdrojewski T, Zeljkovic Vrkic T, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zocalo Y, Zuñiga Cisneros J, Zuziak M, Ezzati M. Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants. Lancet 2020; 396:1511-1524. [PMID: 33160572 PMCID: PMC7658740 DOI: 10.1016/s0140-6736(20)31859-6] [Citation(s) in RCA: 171] [Impact Index Per Article: 42.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 08/03/2020] [Accepted: 08/19/2020] [Indexed: 02/08/2023]
Abstract
BACKGROUND Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. METHODS For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5-19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. FINDINGS We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9-10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes-gaining too little height, too much weight for their height compared with children in other countries, or both-occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls. INTERPRETATION The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks. FUNDING Wellcome Trust, AstraZeneca Young Health Programme, EU.
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Silventoinen K, Jelenkovic A, Latvala A, Yokoyama Y, Sund R, Sugawara M, Tanaka M, Matsumoto S, Aaltonen S, Piirtola M, Freitas DL, Maia JA, Öncel SY, Aliev F, Ji F, Ning F, Pang Z, Rebato E, Saudino KJ, Cutler TL, Hopper JL, Ullemar V, Almqvist C, Magnusson PKE, Cozen W, Hwang AE, Mack TM, Willemsen G, Bartels M, van Beijsterveldt CEM, Nelson TL, Whitfield KE, Sung J, Kim J, Lee J, Lee S, Llewellyn CH, Fisher A, Medda E, Nisticò L, Toccaceli V, Baker LA, Tuvblad C, Corley RP, Huibregtse BM, Derom CA, Vlietinck RF, Loos RJF, Knafo-Noam A, Mankuta D, Abramson L, Burt SA, Klump KL, Silberg JL, Maes HH, Krueger RF, McGue M, Pahlen S, Gatz M, Butler DA, Harris JR, Nilsen TS, Harden KP, Tucker-Drob EM, Franz CE, Kremen WS, Lyons MJ, Lichtenstein P, Jeong HU, Hur YM, Boomsma DI, Sørensen TIA, Kaprio J. Parental Education and Genetics of BMI from Infancy to Old Age: A Pooled Analysis of 29 Twin Cohorts. Obesity (Silver Spring) 2019; 27:855-865. [PMID: 30950584 PMCID: PMC6478550 DOI: 10.1002/oby.22451] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Accepted: 01/31/2019] [Indexed: 01/30/2023]
Abstract
OBJECTIVE The objective of this study was to analyze how parental education modifies the genetic and environmental variances of BMI from infancy to old age in three geographic-cultural regions. METHODS A pooled sample of 29 cohorts including 143,499 twin individuals with information on parental education and BMI from age 1 to 79 years (299,201 BMI measures) was analyzed by genetic twin modeling. RESULTS Until 4 years of age, parental education was not consistently associated with BMI. Thereafter, higher parental education level was associated with lower BMI in males and females. Total and additive genetic variances of BMI were smaller in the offspring of highly educated parents than in those whose parents had low education levels. Especially in North American and Australian children, environmental factors shared by co-twins also contributed to the higher BMI variation in the low education level category. In Europe and East Asia, the associations of parental education with mean BMI and BMI variance were weaker than in North America and Australia. CONCLUSIONS Lower parental education level is associated with higher mean BMI and larger genetic variance of BMI after early childhood, especially in the obesogenic macro-environment. The interplay among genetic predisposition, childhood social environment, and macro-social context is important for socioeconomic differences in BMI.
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Affiliation(s)
- Karri Silventoinen
- Department of Social Research, University of Helsinki, Helsinki, Finland
- Osaka University Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Aline Jelenkovic
- Department of Social Research, University of Helsinki, Helsinki, Finland
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Leioa, Spain
| | - Antti Latvala
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Institute for Molecular Medicine Finland (FIMM), Helsinki, Finland
| | - Yoshie Yokoyama
- Department of Public Health Nursing, Osaka City University, Osaka, Japan
| | - Reijo Sund
- Department of Social Research, University of Helsinki, Helsinki, Finland
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Masumi Sugawara
- Department of Psychology, Ochanomizu University, Tokyo, Japan
| | - Mami Tanaka
- Center for Forensic Mental Health, Chiba University, Chiba, Japan
| | - Satoko Matsumoto
- Institute for Education and Human Development, Ochanomizu University, Tokyo
| | - Sari Aaltonen
- Department of Social Research, University of Helsinki, Helsinki, Finland
- Institute for Molecular Medicine Finland (FIMM), Helsinki, Finland
| | - Maarit Piirtola
- Department of Social Research, University of Helsinki, Helsinki, Finland
- Institute for Molecular Medicine Finland (FIMM), Helsinki, Finland
| | - Duarte L Freitas
- Department of Physical Education and Sport, University of Madeira, Funchal, Portugal
| | - José A Maia
- CIFI2D, Faculty of Sport, Porto, University of Porto, Portugal
| | - Sevgi Y Öncel
- Department of Statistics, Faculty of Arts and Sciences, Kirikkale University, Kirikkale, Turkey
| | - Fazil Aliev
- Psychology and African American Studies, Viginia Commonwealth University, Richmond, VA, USA
| | - Fuling Ji
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China
| | - Feng Ning
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China
| | - Zengchang Pang
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China
| | - Esther Rebato
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Leioa, Spain
| | - Kimberly J Saudino
- Boston University, Department of Psychological and Brain Sciencies, Boston, MA, USA
| | - Tessa L Cutler
- The Australian Twin Registry, Centre for Epidemiology and Biostatistics, University of Melbourne, Melbourne, Victoria, Australia
| | - John L Hopper
- The Australian Twin Registry, Centre for Epidemiology and Biostatistics, University of Melbourne, Melbourne, Victoria, Australia
- Department of Epidemiology, School of Public Health, Seoul National University, Seoul, Korea
| | - Vilhelmina Ullemar
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Catarina Almqvist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Pediatric Allergy and Pulmonology Unit at Astrid Lindgren Children’s Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - Patrik KE Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Wendy Cozen
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, California, USA
- USC Norris Comprehensive Cancer Center, Los Angeles, California, USA
| | - Amie E Hwang
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, California, USA
| | - Thomas M Mack
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, California, USA
- USC Norris Comprehensive Cancer Center, Los Angeles, California, USA
| | - Gonneke Willemsen
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Meike Bartels
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | | | - Tracy L Nelson
- Department of Health and Exercise Sciences and Colorado School of Public Health, Colorado State University, Fort Collins, Colorado, USA
| | | | - Joohon Sung
- Department of Epidemiology, School of Public Health, Seoul National University, Seoul, Korea
- Institute of Health and Environment, Seoul National University, Seoul, South-Korea
| | - Jina Kim
- Department of Epidemiology, School of Public Health, Seoul National University, Seoul, Korea
| | - Jooyeon Lee
- Department of Epidemiology, School of Public Health, Seoul National University, Seoul, Korea
| | - Sooji Lee
- Department of Epidemiology, School of Public Health, Seoul National University, Seoul, Korea
| | - Clare H Llewellyn
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Abigail Fisher
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Emanuela Medda
- Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità - Rome, Italy
| | - Lorenza Nisticò
- Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità - Rome, Italy
| | - Virgilia Toccaceli
- Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità - Rome, Italy
| | - Laura A Baker
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Catherine Tuvblad
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
- School of Law, Psychology and Social Work, Örebro University, Örebro, Sweden
| | - Robin P Corley
- Institute for Behavioral Genetics, University of Colorado, Boulder, Colorado, USA
| | - Brooke M Huibregtse
- Institute of Behavioral Science, University of Colorado, Boulder, Colorado, USA
| | - Catherine A Derom
- Centre of Human Genetics, University Hospitals Leuven, Leuven, Belgium
- Department of Obstetrics and Gynaecology, Ghent University Hospitals, Ghent, Belgium
| | | | - Ruth JF Loos
- The Charles Bronfman Institute for Personalized Medicine, The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - David Mankuta
- Hadassah Hospital Obstetrics and Gynecology Department, Hebrew University Medical School, Jerusalem, Israel
| | - Lior Abramson
- The Hebrew University of Jerusalem, Jerusalem, Israel
| | | | - Kelly L Klump
- Michigan State University, East Lansing, Michigan, USA
| | - Judy L Silberg
- Department of Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Hermine H Maes
- Department of Human and Molecular Genetics, Psychiatry & Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Shandell Pahlen
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Margaret Gatz
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
| | - David A Butler
- Health and Medicine Division, The National Academies of Sciences, Engineering, and Medicine Washington, DC, USA
| | | | | | - K Paige Harden
- Department of Psychology, University of Texas at Austin, Austin, TX, USA
| | | | - Carol E Franz
- Department of Psychiatry, University of California, San Diego, CA, USA
| | - William S Kremen
- Department of Psychiatry, University of California, San Diego, CA, USA
- VA San Diego Center of Excellence for Stress and Mental Health, La Jolla, CA, USA
| | - Michael J Lyons
- Boston University, Department of Psychology, Boston, MA, USA
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Hoe-Uk Jeong
- Department of Education, Mokpo National University, Jeonnam, South Korea
| | - Yoon-Mi Hur
- Department of Education, Mokpo National University, Jeonnam, South Korea
| | - Dorret I Boomsma
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Thorkild IA Sørensen
- Novo Nordisk Foundation Centre for Basic Metabolic Research (Section of Metabolic Genetics), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Public Health (Section of Epidemiology), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jaakko Kaprio
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Institute for Molecular Medicine Finland (FIMM), Helsinki, Finland
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Benjamin Neelon SE, Morgen CS, Kamper-Jørgensen M, Oken E, Gillman MW, Gallis JA, Sørensen TIA. Childcare before age 6 and body mass index at age 7 years in a cohort of Danish children. Pediatr Obes 2018; 13:307-311. [PMID: 28299907 PMCID: PMC5599321 DOI: 10.1111/ijpo.12206] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [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: 05/11/2016] [Accepted: 11/30/2016] [Indexed: 12/26/2022]
Abstract
BACKGROUND Previous studies show inconsistent associations between childcare and obesity. AIMS Our prior work demonstrated that childcare in infancy was associated with higher weight in a cohort of Danish children. Here, we extend this work and examine childcare through 6 years and body mass index (BMI) at age 7 years. MATERIALS AND METHODS We examined 24 714 children in the Danish National Birth Cohort who were also in the Childcare Database. We conducted multivariable linear regressions examining children prior to age 6, overall and by type (daycare, crèche, age-integrated and kindergarten), and BMI z-score at 7 years, stratifying on maternal socio-occupational status. RESULTS A total of 19 760 (80.0%) children attended childcare before age 6. Childcare prior to age 6 was associated with BMI z-score at 7 years (0.004 units per each additional 6 months of care; 95% CI: 0.001, 0.008; p = 0.01). Childcare in a kindergarten was the only type of care associated with BMI (0.009 units; 95% CI: 0.003, 0.02; p = 0.01). For children of higher socio-occupational status mothers, childcare was associated with a 0.008 unit increase in BMI (95% CI: 0.004, 0.01; p > 0.001). CONCLUSIONS Childcare was weakly associated with later BMI. This relationship was more pronounced in children from higher socio-occupational status mothers and children in kindergarten care.
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Affiliation(s)
- Sara E Benjamin Neelon
- Department of Health, Behavior and Society, Johns Hopkins University, 624 N Broadway, Baltimore, Maryland, 21205, USA
| | - Camilla Schmidt Morgen
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, Nordre fasanvej 57, Hovedvejen 5, Copenhagen, Denmark
| | - Mads Kamper-Jørgensen
- Department of Public Health, Section of Social Medicine, University of Copenhagen, CSS, Øster Farimagsgade 5, Postbox 2099, DK-1014 Copenhagen, Denmark
| | - Emily Oken
- Obesity Prevention Program, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 401 Park Drive, Suite 401, Boston, Massachusetts, 02215, USA
| | - Matthew W Gillman
- Environmental influences on Child Health Outcomes (ECHO) Program, National Institutes of Health, 6011 Executive Blvd, Rockville, MD, 20852, USA
| | - John A Gallis
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, 2424 Erwin Road, Suite 1102 Hock Plaza, Box 2721, Durham, North Carolina, 27710, USA
| | - Thorkild IA Sørensen
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, Nordre fasanvej 57, Hovedvejen 5, Copenhagen, Denmark,Novo Nordisk Foundation Center for Basic Metabolic Research and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark,MRC Integrative Epidemiology Unit, Bristol University, Oakfield Grove Bristol, Bristol, UK BS8 2BN
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7
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Felix JF, Joubert BR, Baccarelli AA, Sharp GC, Almqvist C, Annesi-Maesano I, Arshad H, Baïz N, Bakermans-Kranenburg MJ, Bakulski KM, Binder EB, Bouchard L, Breton CV, Brunekreef B, Brunst KJ, Burchard EG, Bustamante M, Chatzi L, Cheng Munthe-Kaas M, Corpeleijn E, Czamara D, Dabelea D, Davey Smith G, De Boever P, Duijts L, Dwyer T, Eng C, Eskenazi B, Everson TM, Falahi F, Fallin MD, Farchi S, Fernandez MF, Gao L, Gaunt TR, Ghantous A, Gillman MW, Gonseth S, Grote V, Gruzieva O, Håberg SE, Herceg Z, Hivert MF, Holland N, Holloway JW, Hoyo C, Hu D, Huang RC, Huen K, Järvelin MR, Jima DD, Just AC, Karagas MR, Karlsson R, Karmaus W, Kechris KJ, Kere J, Kogevinas M, Koletzko B, Koppelman GH, Küpers LK, Ladd-Acosta C, Lahti J, Lambrechts N, Langie SAS, Lie RT, Liu AH, Magnus MC, Magnus P, Maguire RL, Marsit CJ, McArdle W, Melén E, Melton P, Murphy SK, Nawrot TS, Nisticò L, Nohr EA, Nordlund B, Nystad W, Oh SS, Oken E, Page CM, Perron P, Pershagen G, Pizzi C, Plusquin M, Raikkonen K, Reese SE, Reischl E, Richiardi L, Ring S, Roy RP, Rzehak P, Schoeters G, Schwartz DA, Sebert S, Snieder H, Sørensen TIA, Starling AP, Sunyer J, Taylor JA, Tiemeier H, Ullemar V, Vafeiadi M, Van Ijzendoorn MH, Vonk JM, Vriens A, Vrijheid M, Wang P, Wiemels JL, Wilcox AJ, Wright RJ, Xu CJ, Xu Z, Yang IV, Yousefi P, Zhang H, Zhang W, Zhao S, Agha G, Relton CL, Jaddoe VWV, London SJ. Cohort Profile: Pregnancy And Childhood Epigenetics (PACE) Consortium. Int J Epidemiol 2018; 47:22-23u. [PMID: 29025028 PMCID: PMC5837319 DOI: 10.1093/ije/dyx190] [Citation(s) in RCA: 83] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/24/2017] [Indexed: 12/21/2022] Open
Affiliation(s)
- Janine F Felix
- Department of Epidemiology, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Generation R Study Group Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Bonnie R Joubert
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Gemma C Sharp
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Oral and Dental Sciences, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Catarina Almqvist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Pediatric Allergy and Pulmonology Unit at Astrid Lindgren Children’s Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - Isabella Annesi-Maesano
- Sorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP UMRS 1136), Epidemiology of Allergic and Respiratory diseases department (EPAR), Medical School Saint-Antoine, Paris, France
| | - Hasan Arshad
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Nour Baïz
- Sorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP UMRS 1136), Epidemiology of Allergic and Respiratory diseases department (EPAR), Medical School Saint-Antoine, Paris, France
| | | | - Kelly M Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, USA
| | - Elisabeth B Binder
- Department Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Luigi Bouchard
- Department of Biochemistry, Université de Sherbrooke, Sherbrooke, QC, Canada
- ECOGENE-21 and Lipid Clinic, Chicoutimi Hospital, Saguenay, QC, Canada
| | - Carrie V Breton
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Universiteit Utrecht, Utrecht, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Kelly J Brunst
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
| | - Esteban G Burchard
- Department of Medicine, University of California, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA
| | - Mariona Bustamante
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Genomics and Disease Group, Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Monica Cheng Munthe-Kaas
- Department of Pediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway
- Norwegian Institute of Public Health, Oslo, Norway
| | - Eva Corpeleijn
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Darina Czamara
- Department Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Life Course Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Patrick De Boever
- Environmental Risk and Health Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium
- Faculty of Sciences, Hasselt University, Diepenbeek, Belgium
| | - Liesbeth Duijts
- Department of Epidemiology, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Generation R Study Group Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Terence Dwyer
- The George Institute for Global Health, Nuffield Department of Obstetrics & Gynaecology, University of Oxford, Oxford, United Kingdom
| | - Celeste Eng
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Brenda Eskenazi
- Center for Environmental Research on Children's Health, University of California, Berkeley, CA, USA
| | - Todd M Everson
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Fahimeh Falahi
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - M Daniele Fallin
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
| | - Sara Farchi
- Department of Epidemiology, Regional Health Service, Lazio Region, Rome, Italy
| | - Mariana F Fernandez
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Instituto de Investigación Biosanitaria ibs. GRANADA, University of Granada, San Cecilio University Hospital, Granada, Spain
| | - Lu Gao
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Tom R Gaunt
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Akram Ghantous
- Epigenetics Group, International Agency for Research on Cancer, Lyon, France
| | - Matthew W Gillman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Semira Gonseth
- University of California, Berkeley, School of Public Health, Berkeley, USA
| | - Veit Grote
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children’s Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - Olena Gruzieva
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Zdenko Herceg
- Epigenetics Group, International Agency for Research on Cancer, Lyon, France
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA
- Department of Medicine, Université de Sherbrooke, Sherbrooke, QC, Canada
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Nina Holland
- Center for Environmental Research on Children's Health, University of California, Berkeley, CA, USA
- Environmental Health Sciences Division, School of Public Health, University of California, Berkeley, CA, USA
| | - John W Holloway
- Human Development & Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Cathrine Hoyo
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA
| | - Donglei Hu
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Rae-Chi Huang
- Telethon Kids Institute, University of Western Australia, Perth, WA, Australia
| | - Karen Huen
- Environmental Health Sciences Division, School of Public Health, University of California, Berkeley, CA, USA
| | - Marjo-Riitta Järvelin
- Center For Lifecourse Health Research, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Dereje D Jima
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA
| | - Allan C Just
- Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, USA
- Children’s Environmental Health & Disease Prevention Research Center at Dartmouth, Hanover, NH, USA
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Wilfried Karmaus
- Division of Epidemiology, Biostatistics, and Environmental Health Sciences, School of Public Health, University of Memphis, Memphis, USA
| | - Katerina J Kechris
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, USA
| | - Juha Kere
- Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden
| | - Manolis Kogevinas
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children’s Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - Gerard H Koppelman
- University of Groningen, Department of Pediatric Pulmonology and Pediatric Allergology, Beatrix Children's Hospital, GRIAC Research Institute Groningen, The Netherlands
| | - Leanne K Küpers
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Christine Ladd-Acosta
- Wendy Klag Center for Autism and Developmental Disabilities, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
| | - Jari Lahti
- Department of Psychology and Logopedics, Faulty of Medicine, University of Helsinki, Helsinki, Finland
- Collegium for Advanced Studies, University of Helsinki, Helsinki, Finland
| | - Nathalie Lambrechts
- Environmental Risk and Health Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - Sabine AS Langie
- Environmental Risk and Health Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium
- Faculty of Sciences, Hasselt University, Diepenbeek, Belgium
| | - Rolv T Lie
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Andrew H Liu
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Children's Hospital Colorado, Aurora, CO, USA
| | - Maria C Magnus
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- Department for Non-Communicable Diseases, Domain for Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Per Magnus
- Norwegian Institute of Public Health, Oslo, Norway
| | - Rachel L Maguire
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
- Department of Community and Family Medicine, Duke University Medical Center, Durham, NC, USA
| | - Carmen J Marsit
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Wendy McArdle
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Erik Melén
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Sachs Children’s Hospital, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Phillip Melton
- The Curtin UWA Centre for Genetic Origins of Health and Disease, Faculty of Health Sciences, Curtin University and Faculty of Medicine Dentistry & Health Sciences, The University of Western Australia, Perth, Australia
| | - Susan K Murphy
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, USA
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
- Department of Public Health & Primary Care, Leuven University, Leuven, Belgium
| | - Lorenza Nisticò
- National Center of Epidemiology, Surveillance and Health Promotion, Istituto Superiore di Sanità, Rome, Italy
| | - Ellen A Nohr
- Research Unit for Gynaecology and Obstetrics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Björn Nordlund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Pediatric Allergy and Pulmonology Unit at Astrid Lindgren Children’s Hospital, Karolinska University Hospital, Stockholm, Sweden
| | | | - Sam S Oh
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Patrice Perron
- Department of Medicine, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Costanza Pizzi
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
- MRC/PHE Centre for Environment and Health School of Public Health, Imperial College London, London, UK
| | - Katri Raikkonen
- Department of Psychology and Logopedics, Faulty of Medicine, University of Helsinki, Helsinki, Finland
| | - Sarah E Reese
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, USA
| | - Eva Reischl
- Research Unit of Molecular Epidemiology, Institute of Epidemiology II, Helmholtz Zentrum Muenchen, Munich, Germany
| | - Lorenzo Richiardi
- Department of Medical Sciences, University of Turin, Turin, Italy
- AOU Città della Salute e della Sceinza, CPO Piemonte, Turin, Italy
| | - Susan Ring
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Ritu P Roy
- Helen Diller Family Comprehensive Cancer Center (HDFCCC), UCSF, San Francisco, CA, USA
- Computational Biology Core, UCSF, San Francisco, CA, USA
| | - Peter Rzehak
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children’s Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - Greet Schoeters
- Environmental Risk and Health Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium
- Department of Biomedical Sciences, University of Antwerp, Wilrijk, Belgium
- Department of Environmental Medicine, Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - David A Schwartz
- Department of Immunology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Sylvain Sebert
- Center For Lifecourse Health Research, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Department of Genomics of Complex Diseases, School of Public Health, Imperial College London, London, United Kingdom
| | - Harold Snieder
- Generation R Study Group Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Thorkild IA Sørensen
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section on Metabolic Genetics, and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Epidemiology (formerly Institute of Preventive Medicine), Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | - Anne P Starling
- Department of Epidemiology, Colorado School of Public Health
- Life Course Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Jordi Sunyer
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Jack A Taylor
- National Institute of Environmental Health Sciences, Epidemiology Branch, Durham, NC, USA
| | - Henning Tiemeier
- Department of Epidemiology, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Vilhelmina Ullemar
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Marinus H Van Ijzendoorn
- Centre for Child and Family Studies, Leiden University, Leiden, The Netherlands
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Judith M Vonk
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, GRIAC Research Institute Groningen, the Netherlands
| | - Annette Vriens
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Martine Vrijheid
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Joseph L Wiemels
- Department of Epidemiology and Biostatistics, UCSF, San Francisco, CA, USA
- Department of Neurosurgery, UCSF, San Francisco, CA, USA
| | - Allen J Wilcox
- National Institute of Environmental Health Sciences, Epidemiology Branch, Durham, NC, USA
| | - Rosalind J Wright
- Department of Pediatrics, Kravis Children's Hospital, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health & Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Cheng-Jian Xu
- University of Groningen, University Medical Center Groningen, Department of Pulmonology, GRIAC Research Institute Groningen, the Netherlands
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, the Netherlands
| | - Zongli Xu
- National Institute of Environmental Health Sciences, Epidemiology Branch, Durham, NC, USA
| | - Ivana V Yang
- Department of Epidemiology, Colorado School of Public Health
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Paul Yousefi
- Environmental Health Sciences Division, School of Public Health, University of California, Berkeley, CA, USA
| | - Hongmei Zhang
- Division of Epidemiology, Biostatistics, and Environmental Health Sciences, School of Public Health, University of Memphis, Memphis, USA
| | - Weiming Zhang
- Life Course Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, USA
| | - Shanshan Zhao
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, USA
| | - Golareh Agha
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Vincent WV Jaddoe
- Department of Epidemiology, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Generation R Study Group Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Stephanie J London
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, USA
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Y, Ma J, Miranda JJ, Mostafa A, Neovius M, Padez C, Rampal L, Zhu A, Bennett JE, Danaei G, Bhutta ZA, Ezzati M. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults. Lancet 2017; 390:2627-2642. [PMID: 29029897 PMCID: PMC5735219 DOI: 10.1016/s0140-6736(17)32129-3] [Citation(s) in RCA: 3623] [Impact Index Per Article: 517.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Revised: 07/12/2017] [Accepted: 07/19/2017] [Indexed: 02/07/2023]
Abstract
BACKGROUND Underweight, overweight, and obesity in childhood and adolescence are associated with adverse health consequences throughout the life-course. Our aim was to estimate worldwide trends in mean body-mass index (BMI) and a comprehensive set of BMI categories that cover underweight to obesity in children and adolescents, and to compare trends with those of adults. METHODS We pooled 2416 population-based studies with measurements of height and weight on 128·9 million participants aged 5 years and older, including 31·5 million aged 5-19 years. We used a Bayesian hierarchical model to estimate trends from 1975 to 2016 in 200 countries for mean BMI and for prevalence of BMI in the following categories for children and adolescents aged 5-19 years: more than 2 SD below the median of the WHO growth reference for children and adolescents (referred to as moderate and severe underweight hereafter), 2 SD to more than 1 SD below the median (mild underweight), 1 SD below the median to 1 SD above the median (healthy weight), more than 1 SD to 2 SD above the median (overweight but not obese), and more than 2 SD above the median (obesity). FINDINGS Regional change in age-standardised mean BMI in girls from 1975 to 2016 ranged from virtually no change (-0·01 kg/m2 per decade; 95% credible interval -0·42 to 0·39, posterior probability [PP] of the observed decrease being a true decrease=0·5098) in eastern Europe to an increase of 1·00 kg/m2 per decade (0·69-1·35, PP>0·9999) in central Latin America and an increase of 0·95 kg/m2 per decade (0·64-1·25, PP>0·9999) in Polynesia and Micronesia. The range for boys was from a non-significant increase of 0·09 kg/m2 per decade (-0·33 to 0·49, PP=0·6926) in eastern Europe to an increase of 0·77 kg/m2 per decade (0·50-1·06, PP>0·9999) in Polynesia and Micronesia. Trends in mean BMI have recently flattened in northwestern Europe and the high-income English-speaking and Asia-Pacific regions for both sexes, southwestern Europe for boys, and central and Andean Latin America for girls. By contrast, the rise in BMI has accelerated in east and south Asia for both sexes, and southeast Asia for boys. Global age-standardised prevalence of obesity increased from 0·7% (0·4-1·2) in 1975 to 5·6% (4·8-6·5) in 2016 in girls, and from 0·9% (0·5-1·3) in 1975 to 7·8% (6·7-9·1) in 2016 in boys; the prevalence of moderate and severe underweight decreased from 9·2% (6·0-12·9) in 1975 to 8·4% (6·8-10·1) in 2016 in girls and from 14·8% (10·4-19·5) in 1975 to 12·4% (10·3-14·5) in 2016 in boys. Prevalence of moderate and severe underweight was highest in India, at 22·7% (16·7-29·6) among girls and 30·7% (23·5-38·0) among boys. Prevalence of obesity was more than 30% in girls in Nauru, the Cook Islands, and Palau; and boys in the Cook Islands, Nauru, Palau, Niue, and American Samoa in 2016. Prevalence of obesity was about 20% or more in several countries in Polynesia and Micronesia, the Middle East and north Africa, the Caribbean, and the USA. In 2016, 75 (44-117) million girls and 117 (70-178) million boys worldwide were moderately or severely underweight. In the same year, 50 (24-89) million girls and 74 (39-125) million boys worldwide were obese. INTERPRETATION The rising trends in children's and adolescents' BMI have plateaued in many high-income countries, albeit at high levels, but have accelerated in parts of Asia, with trends no longer correlated with those of adults. FUNDING Wellcome Trust, AstraZeneca Young Health Programme.
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9
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Jelenkovic A, Yokoyama Y, Sund R, Pietiläinen KH, Hur YM, Willemsen G, Bartels M, van Beijsterveldt TCEM, Ooki S, Saudino KJ, Stazi MA, Fagnani C, D’Ippolito C, Nelson TL, Whitfield KE, Knafo-Noam A, Mankuta D, Abramson L, Heikkilä K, Cutler TL, Hopper JL, Wardle J, Llewellyn CH, Fisher A, Corley RP, Huibregtse BM, Derom CA, Vlietinck RF, Loos RJF, Bjerregaard-Andersen M, Beck-Nielsen H, Sodemann M, Tarnoki AD, Tarnoki DL, Burt SA, Klump KL, Ordoñana JR, Sánchez-Romera JF, Colodro-Conde L, Dubois L, Boivin M, Brendgen M, Dionne G, Vitaro F, Harris JR, Brandt I, Nilsen TS, Craig JM, Saffery R, Rasmussen F, Tynelius P, Bayasgalan G, Narandalai D, Haworth CMA, Plomin R, Ji F, Ning F, Pang Z, Rebato E, Krueger RF, McGue M, Pahlen S, Boomsma DI, Sørensen TIA, Kaprio J, Silventoinen K. Association between birthweight and later body mass index: an individual-based pooled analysis of 27 twin cohorts participating in the CODATwins project. Int J Epidemiol 2017; 46:1488-1498. [PMID: 28369451 PMCID: PMC5837357 DOI: 10.1093/ije/dyx031] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [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] [Accepted: 02/06/2017] [Indexed: 11/30/2022] Open
Abstract
Background There is evidence that birthweight is positively associated with body mass index (BMI) in later life, but it remains unclear whether this is explained by genetic factors or the intrauterine environment. We analysed the association between birthweight and BMI from infancy to adulthood within twin pairs, which provides insights into the role of genetic and environmental individual-specific factors. Methods This study is based on the data from 27 twin cohorts in 17 countries. The pooled data included 78 642 twin individuals (20 635 monozygotic and 18 686 same-sex dizygotic twin pairs) with information on birthweight and a total of 214 930 BMI measurements at ages ranging from 1 to 49 years. The association between birthweight and BMI was analysed at both the individual and within-pair levels using linear regression analyses. Results At the individual level, a 1-kg increase in birthweight was linearly associated with up to 0.9 kg/m2 higher BMI (P < 0.001). Within twin pairs, regression coefficients were generally greater (up to 1.2 kg/m2 per kg birthweight, P < 0.001) than those from the individual-level analyses. Intra-pair associations between birthweight and later BMI were similar in both zygosity groups and sexes and were lower in adulthood. Conclusions These findings indicate that environmental factors unique to each individual have an important role in the positive association between birthweight and later BMI, at least until young adulthood.
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Affiliation(s)
- Aline Jelenkovic
- Department of Social Research, University of Helsinki, Helsinki, Finland
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Leioa, Spain
| | - Yoshie Yokoyama
- Department of Public Health Nursing, Osaka City University, Osaka, Japan
| | - Reijo Sund
- Department of Social Research, University of Helsinki, Helsinki, Finland
| | - Kirsi H Pietiläinen
- Obesity Research Unit, Research Programs Unit, University of Helsinki, Helsinki, Finland and Abdominal Center, Endocrinology, Helsinki University Central Hospital, Helsinki, Finland
| | - Yoon-Mi Hur
- Department of Education, Mokpo National University, Jeonnam, South Korea
| | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - Meike Bartels
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | | | - Syuichi Ooki
- Department of Health Science, Ishikawa Prefectural Nursing University, Kahoku, Ishikawa, Japan
| | - Kimberly J Saudino
- Boston University, Department of Psychological and Brain Sciencies, Boston, MA, USA
| | - Maria A Stazi
- Istituto Superiore di Sanità—National Center for Epidemiology, Surveillance and Health Promotion, Rome, Italy
| | - Corrado Fagnani
- Istituto Superiore di Sanità—National Center for Epidemiology, Surveillance and Health Promotion, Rome, Italy
| | - Cristina D’Ippolito
- Istituto Superiore di Sanità—National Center for Epidemiology, Surveillance and Health Promotion, Rome, Italy
| | - Tracy L Nelson
- Department of Health and Exercise Sciencies and Colorado School of Public Health, Colorado State University, USA
| | | | | | - David Mankuta
- Hadassah Hospital Obstetrics and Gynecology Department, Hebrew University Medical School, Jerusalem, Israel
| | - Lior Abramson
- The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Kauko Heikkilä
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Tessa L Cutler
- The Australian Twin Registry, Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Victoria, Australia
| | - John L Hopper
- The Australian Twin Registry, Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Epidemiology, School of Public Health, Seoul National University, Seoul, Korea
| | - Jane Wardle
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Clare H Llewellyn
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Abigail Fisher
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Robin P Corley
- Institute for Behavioral Genetics, University of Colorado, Boulder, Colorado, USA
| | - Brooke M Huibregtse
- Institute for Behavioral Genetics, University of Colorado, Boulder, Colorado, USA
| | - Catherine A Derom
- Centre of Human Genetics, University Hospitals Leuven, Leuven, Belgium
- Department of Obstetrics and Gynaecology, Ghent University Hospitals, Ghent, Belgium
| | | | - Ruth JF Loos
- The Charles Bronfman Institute for Personalized Medicine, The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Morten Bjerregaard-Andersen
- Bandim Health Project, INDEPTH Network, Bissau, Guinea-Bissau
- Research Center for Vitamins and Vaccines, Statens Serum Institute, Copenhagen, Denmark
- Department of Endocrinology, Odense University Hospital, Odense, Denmark
| | | | - Morten Sodemann
- Department of Infectious Diseases, Odense University Hospital, Odense, Denmark
| | - Adam D Tarnoki
- Department of Radiology and Oncotherapy, Semmelweis University, Budapest, Hungary
- Hungarian Twin Registry, Budapest, Hungary
| | - David L Tarnoki
- Department of Radiology and Oncotherapy, Semmelweis University, Budapest, Hungary
- Hungarian Twin Registry, Budapest, Hungary
| | | | - Kelly L Klump
- Michigan State University, East Lansing, Michigan, USA
| | - Juan R Ordoñana
- Department of Human Anatomy and Psychobiology, University of Murcia, Murcia, Spain
- IMIB-Arrixaca, Murcia, Spain
| | - Juan F Sánchez-Romera
- IMIB-Arrixaca, Murcia, Spain
- Department of Developmental and Educational Psychology, University of Murcia, Murcia, Spain
| | - Lucia Colodro-Conde
- Department of Human Anatomy and Psychobiology, University of Murcia, Murcia, Spain
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Lise Dubois
- School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Michel Boivin
- School of Psycholoy, Laval University, Quebec, Canada
- Institute of Genetic, Neurobiological, and Social Foundations of Child Development, Tomsk State University, Russian Federation
| | - Mara Brendgen
- Departement of Psychology, University of Quebec at Montreal, Montreal, Quebec, Canada
| | | | - Frank Vitaro
- School of Psychoeducation, University of Montreal, Montreal, Quebec, Canada
| | | | | | | | - Jeffrey M Craig
- Murdoch Childrens Research Institute, Royal Children’s Hospital, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Richard Saffery
- Murdoch Childrens Research Institute, Royal Children’s Hospital, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Finn Rasmussen
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - Per Tynelius
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | | | - Danshiitsoodol Narandalai
- Healthy Twin Association of Mongolia, Ulaanbaatar, Mongolia
- Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Claire MA Haworth
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Robert Plomin
- King’s College London, MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Fuling Ji
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China
| | - Feng Ning
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China
| | - Zengchang Pang
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China
| | - Esther Rebato
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Leioa, Spain
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Shandell Pahlen
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Dorret I Boomsma
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - Thorkild IA Sørensen
- Novo Nordisk Foundation Centre for Basic Metabolic Research (Section on Metabolic Genetics), and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Epidemiology (formely Institute of Preventive Medicine), Bispebjerg and Frederiksberg Hospitals, Copenhagen, The Capital Region, Denmark
| | - Jaakko Kaprio
- Department of Social Research, University of Helsinki, Helsinki, Finland
- Obesity Research Unit, Research Programs Unit, University of Helsinki, Helsinki, Finland and Abdominal Center, Endocrinology, Helsinki University Central Hospital, Helsinki, Finland
- National Institute for Health and Welfare, Helsinki, Finland
- Institute for Molecular Medicine FIMM, Helsinki, Finland
| | - Karri Silventoinen
- Department of Social Research, University of Helsinki, Helsinki, Finland
- Osaka University Graduate School of Medicine, Osaka University, Osaka, Japan
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10
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Nogueira L, Stolzenberg-Solomon R, Gamborg M, Sørensen TIA, Baker JL. Childhood body mass index and risk of adult pancreatic cancer. Curr Dev Nutr 2017; 1:e001362. [PMID: 29388617 PMCID: PMC5788457 DOI: 10.3945/cdn.117.001362] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Revised: 08/11/2017] [Accepted: 09/13/2017] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Excess weight in adulthood is one of the few modifiable risk factors for pancreatic cancer, and height has associations as well. This leads to question whether body weight and height in childhood are associated with adult pancreatic cancer. OBJECTIVE To examine if childhood body mass index (BMI; kg/m2) and height are associated with pancreatic cancer in adult life. METHODS We linked 293,208 children born from 1930-1982 in the Copenhagen School Health Records Register who had measured values of weights and heights at ages 7-13 years with the Danish Cancer Registry to identify incident pancreatic cancer cases from 1968-2012. Hazard ratios (HR) and 95% confidence intervals (CI) were estimated using Cox proportional hazard regressions. RESULTS During 8,207,015 person-years of follow-up, 1,268 pancreatic cancer cases were diagnosed. Childhood BMI z-scores at ages 7-13 years were positively and significantly associated with pancreatic cancer in men and women up to age 70 years; beyond age 70 the associations diminished. The HRs of pancreatic cancer were 1.13 (95% CI: 1.05-1.21) and 1.18 (95% CI: 1.09-1.27) per BMI z-score at ages 7 and 13 years, respectively. A BMI ≥1.5 z-score at ages 7, 10 and 13 years was positively and significantly associated with pancreatic cancer; however, the effect did not differ from having a BMI z-score ≥1.5 at only one of these ages. Positive, albeit non-statistically significant, associations were identified with height. CONCLUSIONS BMI at all ages from 7-13 years is positively and linearly associated with adult pancreatic cancer; the higher the BMI, the higher the risk. Excess childhood BMI may be indicative of processes initiated early in life that lead to this cancer. Prevention of childhood adiposity may decrease the burden of pancreatic cancer in adults.
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Affiliation(s)
- Leticia Nogueira
- Texas Cancer Registry, Texas Department of State Health Services, Austin, TX
| | | | - Michael Gamborg
- Department of Clinical Epidemiology, Bispebjerg and Frederiksberg Hospital, Copenhagen University Hospital, Copenhagen, Denmark
| | - Thorkild IA Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jennifer L Baker
- Department of Clinical Epidemiology, Bispebjerg and Frederiksberg Hospital, Copenhagen University Hospital, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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11
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Silventoinen K, Jelenkovic A, Sund R, Yokoyama Y, Hur YM, Cozen W, Hwang AE, Mack TM, Honda C, Inui F, Iwatani Y, Watanabe M, Tomizawa R, Pietiläinen KH, Rissanen A, Siribaddana SH, Hotopf M, Sumathipala A, Rijsdijk F, Tan Q, Zhang D, Pang Z, Piirtola M, Aaltonen S, Öncel SY, Aliev F, Rebato E, Hjelmborg JB, Christensen K, Skytthe A, Kyvik KO, Silberg JL, Eaves LJ, Cutler TL, Ordoñana JR, Sánchez-Romera JF, Colodro-Conde L, Song YM, Yang S, Lee K, Franz CE, Kremen WS, Lyons MJ, Busjahn A, Nelson TL, Whitfield KE, Kandler C, Jang KL, Gatz M, Butler DA, Stazi MA, Fagnani C, D’Ippolito C, Duncan GE, Buchwald D, Martin NG, Medland SE, Montgomery GW, Jeong HU, Swan GE, Krasnow R, Magnusson PKE, Pedersen NL, Dahl Aslan AK, McAdams TA, Eley TC, Gregory AM, Tynelius P, Baker LA, Tuvblad C, Bayasgalan G, Narandalai D, Spector TD, Mangino M, Lachance G, Burt SA, Klump KL, Harris JR, Brandt I, Nilsen TS, Krueger RF, McGue M, Pahlen S, Corley RP, Huibregtse BM, Bartels M, van Beijsterveldt CEM, Willemsen G, Goldberg JH, Rasmussen F, Tarnoki AD, Tarnoki DL, Derom CA, Vlietinck RF, Loos RJF, Hopper JL, Sung J, Maes HH, Turkheimer E, Boomsma DI, Sørensen TIA, Kaprio J. Differences in genetic and environmental variation in adult BMI by sex, age, time period, and region: an individual-based pooled analysis of 40 twin cohorts. Am J Clin Nutr 2017; 106:457-466. [PMID: 28679550 PMCID: PMC5525120 DOI: 10.3945/ajcn.117.153643] [Citation(s) in RCA: 82] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2017] [Accepted: 06/08/2017] [Indexed: 12/20/2022] Open
Abstract
Background: Genes and the environment contribute to variation in adult body mass index [BMI (in kg/m2)], but factors modifying these variance components are poorly understood.Objective: We analyzed genetic and environmental variation in BMI between men and women from young adulthood to old age from the 1940s to the 2000s and between cultural-geographic regions representing high (North America and Australia), moderate (Europe), and low (East Asia) prevalence of obesity.Design: We used genetic structural equation modeling to analyze BMI in twins ≥20 y of age from 40 cohorts representing 20 countries (140,379 complete twin pairs).Results: The heritability of BMI decreased from 0.77 (95% CI: 0.77, 0.78) and 0.75 (95% CI: 0.74, 0.75) in men and women 20-29 y of age to 0.57 (95% CI: 0.54, 0.60) and 0.59 (95% CI: 0.53, 0.65) in men 70-79 y of age and women 80 y of age, respectively. The relative influence of unique environmental factors correspondingly increased. Differences in the sets of genes affecting BMI in men and women increased from 20-29 to 60-69 y of age. Mean BMI and variances in BMI increased from the 1940s to the 2000s and were greatest in North America and Australia, followed by Europe and East Asia. However, heritability estimates were largely similar over measurement years and between regions. There was no evidence of environmental factors shared by co-twins affecting BMI.Conclusions: The heritability of BMI decreased and differences in the sets of genes affecting BMI in men and women increased from young adulthood to old age. The heritability of BMI was largely similar between cultural-geographic regions and measurement years, despite large differences in mean BMI and variances in BMI. Our results show a strong influence of genetic factors on BMI, especially in early adulthood, regardless of the obesity level in the population.
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Affiliation(s)
- Karri Silventoinen
- Departments of Social Research and .,Osaka University Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Aline Jelenkovic
- Departments of Social Research and,Department of Genetics, Physical Anthropology, and Animal Physiology, University of the Basque Country, Leioa, Spain
| | - Reijo Sund
- Departments of Social Research and,Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Yoshie Yokoyama
- Department of Public Health Nursing, Osaka City University, Osaka, Japan
| | - Yoon-Mi Hur
- Department of Education, Mokpo National University, Jeonnam, South Korea
| | - Wendy Cozen
- Department of Preventive Medicine, Keck School of Medicine,,Norris Comprehensive Cancer Center, and
| | - Amie E Hwang
- Department of Preventive Medicine, Keck School of Medicine
| | - Thomas M Mack
- Department of Preventive Medicine, Keck School of Medicine,,Norris Comprehensive Cancer Center, and
| | - Chika Honda
- Osaka University Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Fujio Inui
- Osaka University Graduate School of Medicine, Osaka University, Osaka, Japan;,Faculty of Health Science, Kio University, Nara, Japan
| | - Yoshinori Iwatani
- Osaka University Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Mikio Watanabe
- Osaka University Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Rie Tomizawa
- Osaka University Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Kirsi H Pietiläinen
- Obesity Research Unit, Research Programs Unit, University of Helsinki, Helsinki, Finland;,Endocrinology, Abdominal Center, Helsinki University Central Hospital and University of Helsinki, Helsinki, Finland
| | - Aila Rissanen
- Obesity Research Unit, Research Programs Unit, University of Helsinki, Helsinki, Finland;,Endocrinology, Abdominal Center, Helsinki University Central Hospital and University of Helsinki, Helsinki, Finland
| | - Sisira H Siribaddana
- Institute of Research and Development, Battaramulla, Sri Lanka;,Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka, Saliyapura, Sri Lanka
| | - Matthew Hotopf
- National Institute for Health Research Mental Health Biomedical Research Centre, South London and Maudsley National Health Service Foundation Trust, Institute of Psychiatry Psychology and Neuroscience
| | - Athula Sumathipala
- Institute of Research and Development, Battaramulla, Sri Lanka;,Research Institute for Primary Care and Health Sciences, School for Primary Care Research, Faculty of Health, Keele University, Staffordshire, United Kingdom
| | - Fruhling Rijsdijk
- Medical Research Council Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, and
| | - Qihua Tan
- Unit of Epidemiology, Biostatistics, and Biodemography, Departments of Public Health and
| | - Dongfeng Zhang
- Department of Public Health, Qingdao University Medical College, Qingdao, China
| | - Zengchang Pang
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China
| | - Maarit Piirtola
- Departments of Social Research and,Institute for Molecular Medicine, Helsinki, Finland
| | - Sari Aaltonen
- Departments of Social Research and,Public Health, and
| | - Sevgi Y Öncel
- Department of Statistics, Faculty of Arts and Sciences, Kırıkkale University, Kırıkkale, Turkey
| | - Fazil Aliev
- Faculty of Business, Karabuk University, Karabuk, Turkey;,Departments of Psychology and,African American Studies
| | - Esther Rebato
- Department of Genetics, Physical Anthropology, and Animal Physiology, University of the Basque Country, Leioa, Spain
| | | | - Kaare Christensen
- The Danish Twin Registry,,Departments of Clinical Biochemistry and Pharmacology and Clinical Genetics, and
| | | | - Kirsten O Kyvik
- Clinical Research, University of Southern Denmark, Odense, Denmark;,Odense Patient Data Explorative Network, Odense University Hospital, Odense, Denmark
| | - Judy L Silberg
- Department of Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, and
| | - Lindon J Eaves
- Department of Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, and
| | - Tessa L Cutler
- The Australian Twin Registry, Centre for Epidemiology and Biostatistics, University of Melbourne, Melbourne, Victoria, Australia
| | - Juan R Ordoñana
- Department of Human Anatomy and Psychobiology, University of Murcia, Murcia, Spain;,Biomedical Research Institute of Murcia (IMIB)-Arrixaca, Murcia, Spain
| | - Juan F Sánchez-Romera
- Department of Human Anatomy and Psychobiology, University of Murcia, Murcia, Spain;,Biomedical Research Institute of Murcia (IMIB)-Arrixaca, Murcia, Spain
| | - Lucia Colodro-Conde
- Department of Human Anatomy and Psychobiology, University of Murcia, Murcia, Spain;,Quantitative Genetics Laboratory and
| | - Yun-Mi Song
- Department of Family Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Sarah Yang
- Department of Epidemiology, School of Public Health, and,Institute of Health and Environment, Seoul National University, Seoul, South Korea
| | - Kayoung Lee
- Department of Family Medicine, Busan Paik Hospital, Inje University College of Medicine, Busan, Korea
| | - Carol E Franz
- Department of Psychiatry, University of California, San Diego, CA
| | - William S Kremen
- Department of Psychiatry, University of California, San Diego, CA;,US Department of Veterans Affairs San Diego Center of Excellence for Stress and Mental Health, La Jolla, CA
| | | | | | - Tracy L Nelson
- Department of Health and Exercise Sciences, Colorado School of Public Health, Colorado State University, Aurora, CO
| | | | | | - Kerry L Jang
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada; Departments of
| | - Margaret Gatz
- Department of Psychology, University of Southern California, Los Angeles, CA;,Medical Epidemiology and Biostatistics and
| | - David A Butler
- Health and Medicine Division, National Academies of Sciences, Engineering, and Medicine, Washington, DC
| | - Maria A Stazi
- Italian National Institute of Health National Center for Epidemiology, Surveillance, and Health Promotion, Rome, Italy
| | - Corrado Fagnani
- Italian National Institute of Health National Center for Epidemiology, Surveillance, and Health Promotion, Rome, Italy
| | - Cristina D’Ippolito
- Italian National Institute of Health National Center for Epidemiology, Surveillance, and Health Promotion, Rome, Italy
| | - Glen E Duncan
- Washington State Twin Registry, Health Sciences, Washington State University, Spokane, WA
| | - Dedra Buchwald
- Washington State Twin Registry, Health Sciences, Washington State University, Spokane, WA
| | - Nicholas G Martin
- Genetic Epidemiology Department, Queensland Institute of Medical Research Berghofer Medical Research Institute, Brisbane, Australia
| | - Sarah E Medland
- Genetic Epidemiology Department, Queensland Institute of Medical Research Berghofer Medical Research Institute, Brisbane, Australia
| | - Grant W Montgomery
- Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - Hoe-Uk Jeong
- Department of Education, Mokpo National University, Jeonnam, South Korea
| | - Gary E Swan
- Department of Medicine, Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA
| | - Ruth Krasnow
- Center for Health Sciences, SRI International, Menlo Park, CA
| | | | | | - Anna K Dahl Aslan
- Medical Epidemiology and Biostatistics and,Institute of Gerontology and Aging Research Network, School of Health and Welfare, Jönköping University, Jönköping, Sweden
| | - Tom A McAdams
- Medical Research Council Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, and
| | - Thalia C Eley
- Medical Research Council Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, and
| | - Alice M Gregory
- Department of Psychology, Goldsmiths, University of London, London, United Kingdom
| | - Per Tynelius
- Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - Laura A Baker
- Department of Psychology, University of Southern California, Los Angeles, CA
| | - Catherine Tuvblad
- Department of Psychology, University of Southern California, Los Angeles, CA;,School of Law, Psychology, and Social Work, Örebro University, Örebro, Sweden
| | | | - Danshiitsoodol Narandalai
- Healthy Twin Association of Mongolia, Ulaanbaatar, Mongolia;,Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Timothy D Spector
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom;,National Institute for Health Research Biomedical Research Centre at Guy’s and St. Thomas’ Foundation Trust, London, United Kingdom
| | - Genevieve Lachance
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom
| | | | | | | | | | | | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN
| | - Shandell Pahlen
- Department of Psychology, University of Minnesota, Minneapolis, MN
| | - Robin P Corley
- Institute for Behavioral Genetics, University of Colorado, Boulder, Colorado
| | - Brooke M Huibregtse
- Institute for Behavioral Genetics, University of Colorado, Boulder, Colorado
| | - Meike Bartels
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| | | | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| | - Jack H Goldberg
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA
| | - Finn Rasmussen
- Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - Adam D Tarnoki
- Department of Radiology, Semmelweis University, Budapest, Hungary;,Hungarian Twin Registry, Budapest, Hungary
| | - David L Tarnoki
- Department of Radiology, Semmelweis University, Budapest, Hungary;,Hungarian Twin Registry, Budapest, Hungary
| | - Catherine A Derom
- Centre of Human Genetics, University Hospitals Leuven, Leuven, Belgium;,Department of Obstetrics and Gynaecology, Ghent University Hospitals, Ghent, Belgium
| | | | - Ruth JF Loos
- Charles Bronfman Institute for Personalized Medicine, Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY
| | - John L Hopper
- Department of Epidemiology, School of Public Health, and,The Australian Twin Registry, Centre for Epidemiology and Biostatistics, University of Melbourne, Melbourne, Victoria, Australia
| | - Joohon Sung
- Department of Epidemiology, School of Public Health, and,Institute of Health and Environment, Seoul National University, Seoul, South Korea
| | - Hermine H Maes
- Departments of Human and Molecular Genetics and Psychiatry, Massey Cancer Center, Virginia Commonwealth University, Richmond, VA
| | - Eric Turkheimer
- Department of Psychology, University of Virginia, Charlottesville, VA
| | - Dorret I Boomsma
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| | - Thorkild IA Sørensen
- Section on Metabolic Genetics, Novo Nordisk Foundation Centre for Basic Metabolic Research, Copenhagen, Denmark;,Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; and,Department of Clinical Epidemiology, Bispebjerg and Frederiksberg Hospitals, Copenhagen, Denmark
| | - Jaakko Kaprio
- Public Health, and,Institute for Molecular Medicine, Helsinki, Finland
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12
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Aarestrup J, Gamborg M, Wentzensen N, Ulrich LG, Sørensen TIA, Baker JL. Abstract LB-375: Childhood body size at age 13 years and associations with ovarian cancer in adult life. Cancer Res 2016. [DOI: 10.1158/1538-7445.am2016-lb-375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Among women, body mass index (BMI; kg/m2) and attained height are positively associated with ovarian cancer. Few studies have, however, investigated associations with childhood body size. As such, it remains largely unknown if it is body size development in early life or adult life that contributes to these associations. Therefore, we examined if childhood BMI and height at age 13 years were associated with ovarian cancer in adult life.
Methods: Individuals were girls in the Copenhagen School Health Records Register who were born between 1930 and1989 and had available measures of height and weight at age 13 years. BMI and height z-scores were calculated from an internal age-specific reference. Via a personal identification number, individuals were followed up for ovarian cancer diagnosis by linkage to the Danish Cancer Registry. Cox proportional hazard regressions were performed and stratified by birth cohort.
Results: Among the included 137,416 girls, 1048 cases of ovarian cancer occurred during 5.2 million person-years of follow-up with a median age of diagnosis of 57 years (range: 19-83 years). BMI tended to be non-linearly associated with ovarian cancer such that only the heaviest girls had positive associations with ovarian cancer. Compared with a 13-year-old girl of average-size (BMI z-score = 0, corresponding to a weight of 45 kg and a height of 157 cm), an equally tall girl who was at least 9 kg heavier (corresponding to a BMI z-score >1.28) had a hazard ratio (HR) for ovarian cancer of 1.33 (95% confidence interval [CI]: 1.08-1.63). In analyses adjusted for childhood height, the association was only marginally attenuated (HR = 1.30, 95% CI: 1.06-1.60). Childhood height was positively and statistically significantly associated with ovarian cancer. At age 13 years, per height z-score (corresponding to approximately 7 cm), the HR for ovarian cancer was 1.07 (95% CI: 1.01-1.14).
Conclusion: Body size in early life was associated with ovarian malignancies later in life suggesting that childhood height and BMI might impact if women are later diagnosed with ovarian cancer. As ovarian cancers vary widely in their etiologies, associations with childhood body size may differ depending on the tumor type, which will be investigated.
Citation Format: Julie Aarestrup, Michael Gamborg, Nicolas Wentzensen, Lian G. Ulrich, Thorkild IA Sørensen, Jennifer L. Baker. Childhood body size at age 13 years and associations with ovarian cancer in adult life. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr LB-375.
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Affiliation(s)
| | | | | | - Lian G. Ulrich
- 3Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
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13
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Larsen SC, Ängquist L, Østergaard JN, Ahluwalia TS, Vimaleswaran KS, Roswall N, Mortensen LM, Nielsen BM, Tjønneland A, Wareham NJ, Palli D, Masala G, Saris WHM, van der A DL, Boer JMA, Feskens EJM, Boeing H, Jakobsen MU, Loos RJF, Sørensen TIA, Overvad K. Intake of Total and Subgroups of Fat Minimally Affect the Associations between Selected Single Nucleotide Polymorphisms in the PPARγ Pathway and Changes in Anthropometry among European Adults from Cohorts of the DiOGenes Study. J Nutr 2016; 146:603-11. [PMID: 26865646 PMCID: PMC6217916 DOI: 10.3945/jn.115.219675] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2015] [Accepted: 01/08/2016] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Although the peroxisome proliferator-activated receptor γ (PPARγ) pathway is central in adipogenesis, it remains unknown whether it influences change in body weight (BW) and whether dietary fat has a modifying effect on the association. OBJECTIVES We examined whether 27 single nucleotide polymorphisms (SNPs) within 4 genes in the PPARγ pathway are associated with the OR of being a BW gainer or with annual changes in anthropometry and whether intake of total fat, monounsaturated fat, polyunsaturated fat, or saturated fat has a modifying effect on these associations. METHODS A case-noncase study included 11,048 men and women from cohorts in the European Diet, Obesity and Genes study; 5552 were cases, defined as individuals with the greatest BW gain during follow-up, and 6548 were randomly selected, including 5496 noncases. We selected 4 genes [CCAAT/enhancer binding protein β (CEBPB), phosphoenolpyruvate carboxykinase 2, PPARγ gene (PPARG), and sterol regulatory element binding transcription factor 1] according to evidence about biologic plausibility for interactions with dietary fat in weight regulation. Diet was assessed at baseline, and anthropometry was followed for 7 y. RESULTS The ORs for being a BW gainer for the 27 genetic variants ranged from 0.87 (95% CI: 0.79, 1.03) to 1.12 (95% CI: 0.96, 1.22) per additional minor allele. Uncorrected, CEBPB rs4253449 had a significant interaction with the intake of total fat and subgroups of fat. The OR for being a BW gainer for each additional rs4253449 minor allele per 100 kcal higher total fat intake was 1.07 (95% CI: 1.02, 1.12; P = 0.008), and similar associations were found for subgroups of fat. CONCLUSIONS Among European men and women, the influence of dietary fat on associations between SNPs in the PPARγ pathway and anthropometry is likely to be absent or marginal. The observed interaction between rs4253449 and dietary fat needs confirmation.
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Affiliation(s)
- Sofus C Larsen
- Research Unit for Dietary Studies at the Parker Institute, Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, The Capital Region, Copenhagen, Denmark; Department of Cardiology, Cardiovascular Research Center, Aalborg University Hospital, Aalborg, Denmark;
| | - Lars Ängquist
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, The Capital Region, Copenhagen, Denmark
| | - Jane N Østergaard
- The Department for Health and Care, Aarhus Municipality, Aarhus, Denmark,Department of Public Health, Section for Epidemiology, Aarhus University, Bartholins Allé 2, DK-8000 Aarhus C, Denmark,Department of Cardiology, Cardiovascular Research Center, Aalborg University Hospital, Alborg, Denmark
| | - Tarunveer S Ahluwalia
- Novo Nordisk Foundation Center for Basic Metabolic Research and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark,COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Ledreborg Allé 34, DK-2820 Copenhagen, Denmark,Steno Diabetes Center, Gentofte, Denmark
| | - Karani S Vimaleswaran
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, Reading, RG6 6AP UK; Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading, UK.,The Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Nina Roswall
- Danish Cancer Society Research Center, Danish Cancer Society, Copenhagen, Denmark
| | - Lotte M Mortensen
- Department of Public Health, Section for Epidemiology, Aarhus University, Bartholins Allé 2, DK-8000 Aarhus C, Denmark,Department of Cardiology, Cardiovascular Research Center, Aalborg University Hospital, Alborg, Denmark
| | - Birgit M Nielsen
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, The Capital Region, Copenhagen, Denmark,COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Ledreborg Allé 34, DK-2820 Copenhagen, Denmark
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Danish Cancer Society, Copenhagen, Denmark
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrookes Hospital, Cambridge, United Kingdom
| | - Domenico Palli
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute - ISPO, Florence, Italy
| | - Giovanna Masala
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute - ISPO, Florence, Italy
| | - Wim HM Saris
- Department of Human Biology, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, 6200MD The Netherlands
| | - Daphne L van der A
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Jolanda MA Boer
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Edith JM Feskens
- Division of Human Nutrition, Wageningen University, P.O Box 8129, 6700 EV, Wageningen, The Netherlands
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - Marianne U Jakobsen
- Department of Public Health, Section for Epidemiology, Aarhus University, Bartholins Allé 2, DK-8000 Aarhus C, Denmark
| | - Ruth JF Loos
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK,The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA,The Department of Preventive Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA,The Mindich Child Health and Development Institute, The Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Thorkild IA Sørensen
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, The Capital Region, Copenhagen, Denmark,Novo Nordisk Foundation Center for Basic Metabolic Research and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark,MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Kim Overvad
- Department of Public Health, Section for Epidemiology, Aarhus University, Bartholins Allé 2, DK-8000 Aarhus C, Denmark,Department of Cardiology, Cardiovascular Research Center, Aalborg University Hospital, Alborg, Denmark
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14
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Christensen JS, Raaschou-Nielsen O, Tjønneland A, Overvad K, Nordsborg RB, Ketzel M, Sørensen TIA, Sørensen M. Road Traffic and Railway Noise Exposures and Adiposity in Adults: A Cross-Sectional Analysis of the Danish Diet, Cancer, and Health Cohort. Environ Health Perspect 2016; 124:329-35. [PMID: 26241990 PMCID: PMC4786981 DOI: 10.1289/ehp.1409052] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2014] [Accepted: 07/29/2015] [Indexed: 05/25/2023]
Abstract
BACKGROUND Traffic noise has been associated with cardiovascular and metabolic disorders. Potential modes of action are through stress and sleep disturbance, which may lead to endocrine dysregulation and overweight. OBJECTIVES We aimed to investigate the relationship between residential traffic and railway noise and adiposity. METHODS In this cross-sectional study of 57,053 middle-aged people, height, weight, waist circumference, and bioelectrical impedance were measured at enrollment (1993-1997). Body mass index (BMI), body fat mass index (BFMI), and lean body mass index (LBMI) were calculated. Residential exposure to road and railway traffic noise exposure was calculated using the Nordic prediction method. Associations between traffic noise and anthropometric measures at enrollment were analyzed using general linear models and logistic regression adjusted for demographic and lifestyle factors. RESULTS Linear regression models adjusted for age, sex, and socioeconomic factors showed that 5-year mean road traffic noise exposure preceding enrollment was associated with a 0.35-cm wider waist circumference (95% CI: 0.21, 0.50) and a 0.18-point higher BMI (95% CI: 0.12, 0.23) per 10 dB. Small, significant increases were also found for BFMI and LBMI. All associations followed linear exposure-response relationships. Exposure to railway noise was not linearly associated with adiposity measures. However, exposure > 60 dB was associated with a 0.71-cm wider waist circumference (95% CI: 0.23, 1.19) and a 0.19-point higher BMI (95% CI: 0.0072, 0.37) compared with unexposed participants (0-20 dB). CONCLUSIONS The present study finds positive associations between residential exposure to road traffic and railway noise and adiposity.
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Affiliation(s)
| | - Ole Raaschou-Nielsen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Anne Tjønneland
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Kim Overvad
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Rikke B. Nordsborg
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Thorkild IA Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research and Department of Public Health, Faculty of Health and Medical Sciences, Copenhagen, Denmark
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, The Capital Region, Copenhagen, Denmark
- MRC Integrative Epidemiology Unit, Bristol University, Bristol, United Kingdom
| | - Mette Sørensen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
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15
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Li Y, Gaillard JR, McLaughlin T, Sørensen TIA, Periwal V. Macro fat and micro fat: insulin sensitivity and gender dependent response of adipose tissue to isocaloric diet change. Adipocyte 2015; 4:256-63. [PMID: 26451281 DOI: 10.1080/21623945.2015.1017153] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2015] [Revised: 01/30/2015] [Accepted: 02/02/2015] [Indexed: 12/18/2022] Open
Abstract
The adipose cell-size distribution is a quantitative characterization of adipose tissue morphology. At a population level, the adipose cell-size distribution is insulin-sensitivity dependent, and the observed correlation between obesity and insulin resistance is believed to play a key role in the metabolic syndrome. Changes in fat mass can be induced by altered energy intake or even diet composition. These macroscopic changes must manifest themselves as dynamic adipose cell-size distribution alterations at the microscopic level. The dynamic relationship between these 2 independent measurements of body fat is unknown. In this study, we investigate adipose tissue dynamics in response to various isocaloric diet compositions, comparing gender- and insulin sensitivity-dependent differences. A body composition model is used to predict fat mass changes in response to changes in diet composition for 28 individuals, separated into 4 subgroups according to gender and insulin sensitivity/resistance. Adipose cell-size distribution changes in each individual are simulated with a dynamic model and parameters corresponding to lipid turnover and cell growth rates are determined for each subgroup to match the relative change of fat mass for each diet composition, respectively. We find that adipose cell-size dynamics are associated with different modulations dependent on gender and insulin resistance. Larger turnover and growth/shrinkage rates in insulin resistant individuals suggest they may be more sensitive to changes in energy intake and diet composition than insulin sensitive subjects. The different cell-size distribution changes of adipose cells of various sizes in different subject groups further suggest distinct modulations of adipose cell dynamics.
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16
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Roswall N, Olsen A, Boll K, Christensen J, Halkjær J, Sørensen TIA, Dahm CC, Overvad K, Clavel-Chapelon F, Boutron-Ruault MC, Cottet V, Teucher B, Kaaks R, Boeing H, von Ruesten A, Trichopoulou A, Oikonomou E, Vasilopoulou E, Pala V, Sacerdote C, Mattiello A, Masala G, Peeters PHM, Bueno-de-Mesquita HB, Engeset D, Skeie G, Åsli LA, Amiano P, Jakszyn P, Ardanaz E, Huerta JM, Quirós JR, Molina-Montes E, Nilsson LM, Johansson I, Wirfält E, Drake I, Mulligan AA, Khaw KT, Romaguera D, Vergnaud AC, Key T, Riboli E, Tjønneland A. Consumption of predefined 'Nordic' dietary items in ten European countries - an investigation in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Public Health Nutr 2014; 17:2650-9. [PMID: 24589249 PMCID: PMC10282376 DOI: 10.1017/s1368980014000159] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [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: 05/23/2013] [Revised: 10/09/2013] [Accepted: 01/27/2014] [Indexed: 02/05/2023]
Abstract
OBJECTIVE Health-beneficial effects of adhering to a healthy Nordic diet index have been suggested. However, it has not been examined to what extent the included dietary components are exclusively related to the Nordic countries or if they are part of other European diets as well, suggesting a broader preventive potential. The present study describes the intake of seven a priori defined healthy food items (apples/pears, berries, cabbages, dark bread, shellfish, fish and root vegetables) across ten countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) and examines their consumption across Europe. DESIGN Cross-sectional study. A 24 h dietary recall was administered through a software program containing country-specific recipes. Sex-specific mean food intake was calculated for each centre/country, as well as percentage of overall food groups consumed as healthy Nordic food items. All analyses were weighted by day and season of data collection. SETTING Multi-centre, European study. SUBJECTS Persons (n 36 970) aged 35-74 years, constituting a random sample of 519 978 EPIC participants. RESULTS The highest intakes of the included diet components were: cabbages and berries in Central Europe; apples/pears in Southern Europe; dark bread in Norway, Denmark and Greece; fish in Southern and Northern countries; shellfish in Spain; and root vegetables in Northern and Central Europe. Large inter-centre variation, however, existed in some countries. CONCLUSIONS Dark bread, root vegetables and fish are strongly related to a Nordic dietary tradition. Apples/pears, berries, cabbages, fish, shellfish and root vegetables are broadly consumed in Europe, and may thus be included in regional public health campaigns.
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Affiliation(s)
- Nina Roswall
- Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen Ø, Denmark
| | - Anja Olsen
- Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen Ø, Denmark
| | - Katja Boll
- Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen Ø, Denmark
| | - Jane Christensen
- Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen Ø, Denmark
| | - Jytte Halkjær
- Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen Ø, Denmark
| | - Thorkild IA Sørensen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals – Part of the Copenhagen University Hospital, The Capital Region, Copenhagen, Denmark
| | - Christina C Dahm
- Section for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Kim Overvad
- Section for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Françoise Clavel-Chapelon
- Inserm, Centre for Research in Epidemiology and Population Health, U1018, Institut Gustave Roussy, Villejuif, France
- Paris South University, UMRS 1018, Villejuif, France
| | - Marie C Boutron-Ruault
- Inserm, Centre for Research in Epidemiology and Population Health, U1018, Institut Gustave Roussy, Villejuif, France
- Paris South University, UMRS 1018, Villejuif, France
| | - Vanessa Cottet
- Inserm, Centre for Research in Epidemiology and Population Health, U1018, Institut Gustave Roussy, Villejuif, France
- Paris South University, UMRS 1018, Villejuif, France
| | - Birgit Teucher
- Division of Cancer Epidemiology, German Cancer Research Centre, Heidelberg, Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Centre, Heidelberg, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition, Nuthetal, Germany
| | - Anne von Ruesten
- Department of Epidemiology, German Institute of Human Nutrition, Nuthetal, Germany
| | - Antonia Trichopoulou
- WHO Collaborating Center for Food and Nutrition Policies, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
- Hellenic Health Foundation, Athens, Greece
| | - Eleni Oikonomou
- WHO Collaborating Center for Food and Nutrition Policies, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
- Hellenic Health Foundation, Athens, Greece
| | - Effie Vasilopoulou
- WHO Collaborating Center for Food and Nutrition Policies, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
- Hellenic Health Foundation, Athens, Greece
| | - Valeria Pala
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | - Amalia Mattiello
- Dipartimento di Medicina Clinica e Chirugica, Federico II University, Naples, Italy
| | - Giovanna Masala
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute–ISPO, Florence, Italy
| | - Petra HM Peeters
- Julius Center, University Medical Center Utrecht (UMCU), Utrecht, The Netherlands
- Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - H Bas Bueno-de-Mesquita
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre Utrecht (UMCU), Utrecht, The Netherlands
- The School of Public Health, Imperial College London, London, UK
| | - Dagrun Engeset
- Department of Community Medicine, University of Tromsø, Tromsø, Norway
| | - Guri Skeie
- Department of Community Medicine, University of Tromsø, Tromsø, Norway
| | - Lene A Åsli
- Department of Community Medicine, University of Tromsø, Tromsø, Norway
| | - Pilar Amiano
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, Health Department of Basque Region, San Sebastian, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Paula Jakszyn
- Unit of Nutrition, Environment and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO), Barcelona, Spain
| | - Eva Ardanaz
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- Navarre Public Health Institute, Pamplona, Spain
| | - José M Huerta
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- Department of Epidemiology, Murcia Regional Health Authority, Murcia, Spain
| | | | - Esther Molina-Montes
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, Health Department of Basque Region, San Sebastian, Spain
- Andalusian School of Public Health, University of Granada, Granada, Spain
| | - Lena M Nilsson
- Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden
| | | | - Elisabet Wirfält
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Isabel Drake
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Angela A Mulligan
- Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK
| | - Kay T Khaw
- Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK
| | - Dora Romaguera
- Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK
- CIBER Fisiopatologia de la Obesidad y Nutrición, Spain
| | - Anne-Claire Vergnaud
- Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - Tim Key
- Cancer Epidemiology Unit, University of Oxford, Oxford, UK
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen Ø, Denmark
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Perry JRB, Day F, Elks CE, Sulem P, Thompson DJ, Ferreira T, He C, Chasman DI, Esko T, Thorleifsson G, Albrecht E, Ang WQ, Corre T, Cousminer DL, Feenstra B, Franceschini N, Ganna A, Johnson AD, Kjellqvist S, Lunetta KL, McMahon G, Nolte IM, Paternoster L, Porcu E, Smith AV, Stolk L, Teumer A, Tšernikova N, Tikkanen E, Ulivi S, Wagner EK, Amin N, Bierut LJ, Byrne EM, Hottenga JJ, Koller DL, Mangino M, Pers TH, Yerges-Armstrong LM, Zhao JH, Andrulis IL, Anton-Culver H, Atsma F, Bandinelli S, Beckmann MW, Benitez J, Blomqvist C, Bojesen SE, Bolla MK, Bonanni B, Brauch H, Brenner H, Buring JE, Chang-Claude J, Chanock S, Chen J, Chenevix-Trench G, Collée JM, Couch FJ, Couper D, Coveillo AD, Cox A, Czene K, D’adamo AP, Smith GD, De Vivo I, Demerath EW, Dennis J, Devilee P, Dieffenbach AK, Dunning AM, Eiriksdottir G, Eriksson JG, Fasching PA, Ferrucci L, Flesch-Janys D, Flyger H, Foroud T, Franke L, Garcia ME, García-Closas M, Geller F, de Geus EEJ, Giles GG, Gudbjartsson DF, Gudnason V, Guénel P, Guo S, Hall P, Hamann U, Haring R, Hartman CA, Heath AC, Hofman A, Hooning MJ, Hopper JL, Hu FB, Hunter DJ, Karasik D, Kiel DP, Knight JA, Kosma VM, Kutalik Z, Lai S, Lambrechts D, Lindblom A, Mägi R, Magnusson PK, Mannermaa A, Martin NG, Masson G, McArdle PF, McArdle WL, Melbye M, Michailidou K, Mihailov E, Milani L, Milne RL, Nevanlinna H, Neven P, Nohr EA, Oldehinkel AJ, Oostra BA, Palotie A, Peacock M, Pedersen NL, Peterlongo P, Peto J, Pharoah PDP, Postma DS, Pouta A, Pylkäs K, Radice P, Ring S, Rivadeneira F, Robino A, Rose LM, Rudolph A, Salomaa V, Sanna S, Schlessinger D, Schmidt MK, Southey MC, Sovio U, Stampfer MJ, Stöckl D, Storniolo AM, Timpson NJ, Tyrer J, Visser JA, Vollenweider P, Völzke H, Waeber G, Waldenberger M, Wallaschofski H, Wang Q, Willemsen G, Winqvist R, Wolffenbuttel BHR, Wright MJ, Boomsma DI, Econs MJ, Khaw KT, Loos RJF, McCarthy MI, Montgomery GW, Rice JP, Streeten EA, Thorsteinsdottir U, van Duijn CM, Alizadeh BZ, Bergmann S, Boerwinkle E, Boyd HA, Crisponi L, Gasparini P, Gieger C, Harris TB, Ingelsson E, Järvelin MR, Kraft P, Lawlor D, Metspalu A, Pennell CE, Ridker PM, Snieder H, Sørensen TIA, Spector TD, Strachan DP, Uitterlinden AG, Wareham NJ, Widen E, Zygmunt M, Murray A, Easton DF, Stefansson K, Murabito JM, Ong KK. Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche. Nature 2014; 514:92-97. [PMID: 25231870 PMCID: PMC4185210 DOI: 10.1038/nature13545] [Citation(s) in RCA: 378] [Impact Index Per Article: 37.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2013] [Accepted: 05/30/2014] [Indexed: 02/02/2023]
Abstract
Age at menarche is a marker of timing of puberty in females. It varies widely between individuals, is a heritable trait and is associated with risks for obesity, type 2 diabetes, cardiovascular disease, breast cancer and all-cause mortality. Studies of rare human disorders of puberty and animal models point to a complex hypothalamic-pituitary-hormonal regulation, but the mechanisms that determine pubertal timing and underlie its links to disease risk remain unclear. Here, using genome-wide and custom-genotyping arrays in up to 182,416 women of European descent from 57 studies, we found robust evidence (P < 5 × 10(-8)) for 123 signals at 106 genomic loci associated with age at menarche. Many loci were associated with other pubertal traits in both sexes, and there was substantial overlap with genes implicated in body mass index and various diseases, including rare disorders of puberty. Menarche signals were enriched in imprinted regions, with three loci (DLK1-WDR25, MKRN3-MAGEL2 and KCNK9) demonstrating parent-of-origin-specific associations concordant with known parental expression patterns. Pathway analyses implicated nuclear hormone receptors, particularly retinoic acid and γ-aminobutyric acid-B2 receptor signalling, among novel mechanisms that regulate pubertal timing in humans. Our findings suggest a genetic architecture involving at least hundreds of common variants in the coordinated timing of the pubertal transition.
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Affiliation(s)
- John RB Perry
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
- University of Exeter Medical School, University of Exeter, Exeter, UK EX1 2LU
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
| | - Felix Day
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Cathy E Elks
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | | | - Deborah J Thompson
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Teresa Ferreira
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Chunyan He
- Department of Epidemiology, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN 46202, USA
- Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN 46202, USA
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA 02215
- Harvard Medical School, Boston, MA 02115
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Tartu, 51010, Estonia
- Divisions of Endocrinology and Genetics and Center for Basic and Translational Obesity Research, Boston Children’s Hospital, Boston, MA 02115, USA
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, 140 Cambridge 02142, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | | | - Eva Albrecht
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Wei Q Ang
- School of Women’s and Infants’ Health, The University of Western Australia
| | - Tanguy Corre
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Diana L Cousminer
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland
| | - Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institut, DK-2300 Copenhagen, Denmark
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC
| | - Andrea Ganna
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Andrew D Johnson
- NHLBI’s and Boston University’s Framingham Heart Study, Framingham, MA
| | - Sanela Kjellqvist
- Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden
| | - Kathryn L Lunetta
- NHLBI’s and Boston University’s Framingham Heart Study, Framingham, MA
- Boston University School of Public Health, Department of Biostatistics. Boston, MA
| | - George McMahon
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | | | - Eleonora Porcu
- Institute of Genetics and Biomedical Research, National Research Council, Cagliari, Italy
- University of Sassari, Dept. Of Biomedical Sciences, Sassari, Italy
| | - Albert V Smith
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Lisette Stolk
- Department of Internal Medicine, Erasmus MC, Rotterdam, the Netherlands
- Netherlands Consortium on Health Aging and National Genomics Initiative, Leiden, the Netherlands
| | - Alexander Teumer
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Natalia Tšernikova
- Estonian Genome Center, University of Tartu, Tartu, 51010, Estonia
- Department of Biotechnology, University of Tartu, Tartu, 51010, Estonia
| | - Emmi Tikkanen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland
- Hjelt Institute, University of Helsinki, Finland
| | - Sheila Ulivi
- Institute for Maternal and Child Health - IRCCS “Burlo Garofolo” – Trieste, Italy
| | - Erin K Wagner
- Department of Epidemiology, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN 46202, USA
- Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN 46202, USA
| | - Najaf Amin
- Genetic Epidemiology Unit Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Laura J Bierut
- Dept. of Psychiatry, Washington University, St. Louis, MO 63110
| | - Enda M Byrne
- The University of Queensland, Queensland Brain Institute, St.Lucia, QLD, Australia
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, VU University Amsterdam, van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
| | - Daniel L Koller
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana USA
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
| | - Tune H Pers
- Divisions of Endocrinology and Genetics and Center for Basic and Translational Obesity Research, Boston Children’s Hospital, Boston, MA 02115, USA
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, 140 Cambridge 02142, MA, USA
- Medical and Population Genetics, Broad Institute, Cambridge, MA 02142, US
- Center for Biological Sequence Analysis, Department of Systems Biology, Technical 142 University of Denmark, Lyngby 2800, Denmark
| | - Laura M Yerges-Armstrong
- Program in Personalized and Genomic Medicine, and Department of Medicine, Division of Endocrinology, Diabetes and Nutrition - University of Maryland School of Medicine, USA. Baltimore, MD 21201
| | - Jing Hua Zhao
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Irene L Andrulis
- Ontario Cancer Genetics Network, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Hoda Anton-Culver
- Department of Epidemiology, University of California Irvine, Irvine, California, USA
| | | | - Stefania Bandinelli
- Tuscany Regional Health Agency, Florence, Italy, I.O.T. and Department of Medical and Surgical Critical Care, University of Florence, Florence, Italy
- Geriatric Unit, Azienda Sanitaria di Firenze, Florence, Italy
| | - Matthias W Beckmann
- University Breast Center Franconia, Department of Gynecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Javier Benitez
- Human Genetics Group, Human Cancer Genetics Program, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Valencia, Spain
| | - Carl Blomqvist
- Department of Oncology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Stig E Bojesen
- Copenhagen General Population Study, Herlev Hospital, Copenhagen University Hospital, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Bernardo Bonanni
- Division of Cancer Prevention and Genetics, Istituto Europeo di Oncologia (IEO), Milan, Italy
| | - Hiltrud Brauch
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart
- University of Tübingen, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Julie E Buring
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA 02215
- Harvard Medical School, Boston, MA 02115
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Stephen Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jinhui Chen
- Departments of Anatomy and Neurological Surgery, Indiana University school of Medicine, Indianapolis, IN 46202, USA
- Stark Neuroscience Research Center, Indiana University school of Medicine, Indianapolis, IN 46202, USA
| | | | - J. Margriet Collée
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - David Couper
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC
| | - Andrea D Coveillo
- Boston University School of Medicine, Department of Medicine, Sections of Preventive Medicine and Endocrinology, Boston, MA
| | - Angela Cox
- Sheffield Cancer Research Centre, Department of Oncology, University of Sheffield, Sheffield, UK
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Adamo Pio D’adamo
- Institute for Maternal and Child Health - IRCCS “Burlo Garofolo” – Trieste, Italy
- Department of Clinical Medical Sciences, Surgical and Health, University of Trieste, Italy
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
| | - Immaculata De Vivo
- Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Ellen W Demerath
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minn., USA
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Peter Devilee
- Department of Human Genetics & Department of Pathology, Leiden University Medical Center, 2300 RC Leiden, The Netherlands
| | - Aida K Dieffenbach
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, UK
| | | | - Johan G Eriksson
- National Institute for Health and Welfare, Finland
- Department of General Practice and Primary health Care, University of Helsinki, Finland
- Helsinki University Central Hospital, Unit of General Practice, Helsinki, Finland
- Folkhalsan Research Centre, Helsinki, Finland
| | - Peter A Fasching
- University Breast Center Franconia, Department of Gynecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Luigi Ferrucci
- Longitudinal Studies Section, Clinical Research Branch, Gerontology Research Center, National Institute on Aging, Baltimore, Maryland, United States of America
| | - Dieter Flesch-Janys
- Department of Cancer Epidemiology/Clinical Cancer Registry and Institute for Medical Biometrics and Epidemiology, University Clinic Hamburg-Eppendorf, Hamburg, Germany
| | - Henrik Flyger
- Department of Breast Surgery, Herlev Hospital, Copenhagen University Hospital, Copenhagen, Denmark
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana USA
| | - Lude Franke
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Melissa E Garcia
- National Insitute on Aging, National Institutes of Health, Baltimore, MD 20892, USA
| | - Montserrat García-Closas
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, UK
- Breakthrough Breast Cancer Research Centre, Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Frank Geller
- Department of Epidemiology Research, Statens Serum Institut, DK-2300 Copenhagen, Denmark
| | - Eco EJ de Geus
- Department of Biological Psychology, VU University Amsterdam, van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
- EMGO + Institute for Health and Care Research, VU University Medical Centre, Van der Boechorststraat 7, 1081 Bt, Amsterdam, The Netherlands
| | - Graham G Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Daniel F Gudbjartsson
- deCODE Genetics, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Pascal Guénel
- Inserm (National Institute of Health and Medical Research), CESP (Center for Research in Epidemiology and Population Health), U1018, Environmental Epidemiology of Cancer, Villejuif, France
- University Paris-Sud, UMRS 1018, Villejuif, France
| | - Suiqun Guo
- Department of Obstetrics and Gynecology, Southern Medical University, Guangzhou, China
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany
| | - Robin Haring
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Catharina A Hartman
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Andrew C Heath
- Washington University, Department of Psychiatry, St.Louis, Missouri, USA
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC, Rotterdan, the Netherlands
| | - Maartje J Hooning
- Department of Medical Oncology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Frank B Hu
- Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- Department of Nutrition, Harvard School of Public Health, Boston, MA 02115, USA
| | - David J Hunter
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, 140 Cambridge 02142, MA, USA
- Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - David Karasik
- Harvard Medical School, Boston, MA 02115
- Hebrew SeniorLife Institute for Aging Research, Boston, MA
| | - Douglas P Kiel
- Hebrew SeniorLife Institute for Aging Research, Boston, MA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02115
| | - Julia A Knight
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Veli-Matti Kosma
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland
| | - Zoltan Kutalik
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Sandra Lai
- Institute of Genetics and Biomedical Research, National Research Council, Cagliari, Italy
| | - Diether Lambrechts
- Vesalius Research Center (VRC), VIB, Leuven, Belgium
- Laboratory for Translational Genetics, Department of Oncology, University of Leuven, Leuven, Belgium
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Reedik Mägi
- Estonian Genome Center, University of Tartu, Tartu, 51010, Estonia
| | - Patrik K Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Arto Mannermaa
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland
| | - Nicholas G Martin
- Department of Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | | | - Patrick F McArdle
- Program in Personalized and Genomic Medicine, and Department of Medicine, Division of Endocrinology, Diabetes and Nutrition - University of Maryland School of Medicine, USA. Baltimore, MD 21201
| | - Wendy L McArdle
- School of Social and Community Medicine, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
| | - Mads Melbye
- Department of Epidemiology Research, Statens Serum Institut, DK-2300 Copenhagen, Denmark
- Department of Medicine, Stanford School of Medicine, Stanford, USA
| | - Kyriaki Michailidou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Evelin Mihailov
- Estonian Genome Center, University of Tartu, Tartu, 51010, Estonia
- Department of Biotechnology, University of Tartu, Tartu, 51010, Estonia
| | - Lili Milani
- Estonian Genome Center, University of Tartu, Tartu, 51010, Estonia
| | - Roger L Milne
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Patrick Neven
- KULeuven (University of Leuven), Department of Oncology, Multidisciplinary Breast Center, University Hospitals Leuven, Belgium
| | - Ellen A Nohr
- Research Unit of Obstetrics & Gynecology, Institute of Clinical Research, University of Southern denmark, DK
| | - Albertine J Oldehinkel
- Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Ben A Oostra
- Genetic Epidemiology Unit Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Psychiatric & Neurodevelopmental Genetics Unit, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Munro Peacock
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana USA
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Paolo Peterlongo
- IFOM, Fondazione Istituto FIRC di Oncologia Molecolare, Milan, Italy
| | - Julian Peto
- Non-communicable Disease Epidemiology Department, London School of Hygiene and Tropical Medicine, London, UK
| | - Paul DP Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, UK
| | - Dirkje S Postma
- University Groningen, University Medical Center Groningen, Department Pulmonary Medicine and Tuberculosis, GRIAC Research Institute, Groningen, The Netherlands
| | - Anneli Pouta
- National Institute for Health and Welfare, Finland
- Department of Obstetrics and Gynecology, Oulu University Hospital, Finland
| | - Katri Pylkäs
- Laboratory of Cancer Genetics and Tumor Biology, Department of Clinical Chemistry and Biocenter Oulu, University of Oulu, Oulu University Hospital/NordLab Oulu, Oulu, Finland
| | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori (INT), Milan, Italy
| | - Susan Ring
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus MC, Rotterdam, the Netherlands
- Netherlands Consortium on Health Aging and National Genomics Initiative, Leiden, the Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdan, the Netherlands
| | - Antonietta Robino
- Institute for Maternal and Child Health - IRCCS “Burlo Garofolo” – Trieste, Italy
- Department of Clinical Medical Sciences, Surgical and Health, University of Trieste, Italy
| | - Lynda M Rose
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA 02215
| | - Anja Rudolph
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Serena Sanna
- Institute of Genetics and Biomedical Research, National Research Council, Cagliari, Italy
| | - David Schlessinger
- National Institute on Aging, Intramural Research Program, Baltimore, MD, USA
| | - Marjanka K Schmidt
- Netherlands Cancer Institute, Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Mellissa C Southey
- Department of Pathology, The University of Melbourne, Melbourne, Australia
| | - Ulla Sovio
- Department of Epidemiology and Biostatistics, MRC Health Protection Agency (HPA) Centre for Environment and Health, School of Public Health, Imperial College London, UK
- Department of Obstetrics and Gynaecology, University of Cambridge, Cambridge, United Kingdom
| | - Meir J Stampfer
- Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- Department of Nutrition, Harvard School of Public Health, Boston, MA 02115, USA
| | - Doris Stöckl
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Department of Obstetrics and Gynaecology, Campus Grosshadern, Ludwig-Maximilians- University, Munich, Germany
| | - Anna M Storniolo
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana USA
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
| | - Jonathan Tyrer
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, UK
| | - Jenny A Visser
- Department of Internal Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Peter Vollenweider
- Department of Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, 17475 Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, 17475 Greifswald, Germany
| | - Gerard Waeber
- Department of Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Henri Wallaschofski
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, 17475 Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, 17475 Greifswald, Germany
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
| | - Robert Winqvist
- Laboratory of Cancer Genetics and Tumor Biology, Department of Clinical Chemistry and Biocenter Oulu, University of Oulu, Oulu University Hospital/NordLab Oulu, Oulu, Finland
| | - Bruce HR Wolffenbuttel
- Department of Endocrinology, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Margaret J Wright
- Queensland Insitute of Medical Research, Brisbane, Queensland, Australia
| | - Australian Ovarian Cancer Study
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Peter MacCallum Cancer Centre, Melbourne, Australia
| | - The GENICA Network
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart
- University of Tübingen, Germany
- Molecular Genetics of Breast Cancer, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), Bochum, Germany
- Department of Internal Medicine, Evangelische Kliniken Bonn gGmbH, Johanniter Krankenhaus, Bonn, Germany
- Institute of Pathology, Medical Faculty of the University of Bonn, Bonn, Germany
- Institute of Occupational Medicine and Maritime Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - kConFab
- Peter MacCallum Cancer Centre, Melbourne, Australia
| | | | | | | | - Dorret I Boomsma
- Department of Biological Psychology, VU University Amsterdam, van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
| | - Michael J Econs
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana USA
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana USA
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Ruth JF Loos
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
- Genetics of Obesity and Related Metabolic Traits Program, The Charles Bronfman Institute for Personalized Medicine, The Mindich Child Health and Development Institute, Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1003, New York, NY 10029, USA
| | - Mark I McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Churchill Hospital, OX3 7LE Oxford, UK
- Oxford Centre for Diabetes, Endocrinology, & Metabolism, University of Oxford, Churchill Hospital, OX37LJ Oxford, UK
| | - Grant W Montgomery
- Queensland Insitute of Medical Research, Brisbane, Queensland, Australia
| | - John P Rice
- Dept. of Psychiatry, Washington University, St. Louis, MO 63110
| | - Elizabeth A Streeten
- Program in Personalized and Genomic Medicine, and Department of Medicine, Division of Endocrinology, Diabetes and Nutrition - University of Maryland School of Medicine, USA. Baltimore, MD 21201
- Geriatric Research and Education Clinical Center (GRECC) - Veterans Administration Medical Center, USA. Baltimore, MD 21201
| | - Unnur Thorsteinsdottir
- deCODE Genetics, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Cornelia M van Duijn
- Netherlands Consortium on Health Aging and National Genomics Initiative, Leiden, the Netherlands
- Genetic Epidemiology Unit Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Centre of Medical Systems Biology, Leiden, the Netherlands
| | - Behrooz Z Alizadeh
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Sven Bergmann
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Eric Boerwinkle
- Human Genetics Center and Div. of Epidemiology, University of Houston, TX
| | - Heather A Boyd
- Department of Epidemiology Research, Statens Serum Institut, DK-2300 Copenhagen, Denmark
| | - Laura Crisponi
- Institute of Genetics and Biomedical Research, National Research Council, Cagliari, Italy
| | - Paolo Gasparini
- Institute for Maternal and Child Health - IRCCS “Burlo Garofolo” – Trieste, Italy
- Department of Clinical Medical Sciences, Surgical and Health, University of Trieste, Italy
| | - Christian Gieger
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Tamara B Harris
- National Insitute on Aging, National Institutes of Health, Baltimore, MD 20892, USA
| | - Erik Ingelsson
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Marjo-Riitta Järvelin
- Department of Epidemiology and Biostatistics, MRC Health Protection Agency (HPA) Centre for Environment and Health, School of Public Health, Imperial College London, UK
- Institute of Health Sciences, P.O.Box 5000, FI-90014 University of Oulu, Finland
- Biocenter Oulu, P.O.Box 5000, Aapistie 5A, FI-90014 University of Oulu, Finland
- Department of Children and Young People and Families, National Institute for Health and Welfare, Aapistie 1, Box 310, FI-90101 Oulu, Finland
- Unit of Primary Care, Oulu University Hospital, Kajaanintie 50, P.O.Box 20, FI-90220 Oulu, 90029 OYS, Finland
| | - Peter Kraft
- Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
- Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA
| | - Debbie Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu, 51010, Estonia
- Department of Biotechnology, University of Tartu, Tartu, 51010, Estonia
| | - Craig E Pennell
- School of Women’s and Infants’ Health, The University of Western Australia
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA 02215
- Harvard Medical School, Boston, MA 02115
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Thorkild IA Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, The Capital Region, Copenhagen, Denmark
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
| | - David P Strachan
- Division of Population Health Sciences and Education, St George’s, University of London, Cranmer Terrace, London SW17 0RE, UK
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus MC, Rotterdam, the Netherlands
- Netherlands Consortium on Health Aging and National Genomics Initiative, Leiden, the Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdan, the Netherlands
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Elisabeth Widen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland
| | - Marek Zygmunt
- Department of Obstetrics and Gynecology, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Anna Murray
- University of Exeter Medical School, University of Exeter, Exeter, UK EX1 2LU
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Kari Stefansson
- deCODE Genetics, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Joanne M Murabito
- NHLBI’s and Boston University’s Framingham Heart Study, Framingham, MA
- Boston University School of Medicine, Department of Medicine, Section of General Internal Medicine, Boston, MA
| | - Ken K Ong
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
- Department of Paediatrics,University of Cambridge,Cambridge,UK
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Jiao H, Arner P, Hoffstedt J, Brodin D, Dubern B, Czernichow S, van't Hooft F, Axelsson T, Pedersen O, Hansen T, Sørensen TIA, Hebebrand J, Kere J, Dahlman-Wright K, Hamsten A, Clement K, Dahlman I. Genome wide association study identifies KCNMA1 contributing to human obesity. BMC Med Genomics 2011; 4:51. [PMID: 21708048 PMCID: PMC3148553 DOI: 10.1186/1755-8794-4-51] [Citation(s) in RCA: 72] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2010] [Accepted: 06/28/2011] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Recent genome-wide association (GWA) analyses have identified common single nucleotide polymorphisms (SNPs) that are associated with obesity. However, the reported genetic variation in obesity explains only a minor fraction of the total genetic variation expected to be present in the population. Thus many genetic variants controlling obesity remain to be identified. The aim of this study was to use GWA followed by multiple stepwise validations to identify additional genes associated with obesity. METHODS We performed a GWA analysis in 164 morbidly obese subjects (BMI:body mass index>40 kg/m2) and 163 Swedish subjects (>45 years) who had always been lean. The 700 SNPs displaying the strongest association with obesity in the GWA were analyzed in a second cohort comprising 460 morbidly obese subjects and 247 consistently lean Swedish adults. 23 SNPs remained significantly associated with obesity (nominal P<0.05) and were in a step-wise manner followed up in five additional cohorts from Sweden, France, and Germany together comprising 4214 obese and 5417 lean or population-based control individuals. Three samples, n=4133, were used to investigate the population-based associations with BMI. Gene expression in abdominal subcutaneous adipose tissue in relation to obesity was investigated for14 adults. RESULTS Potassium channel, calcium activated, large conductance, subfamily M, alpha member (KCNMA1) rs2116830*G and BDNF rs988712*G were associated with obesity in five of six investigated case-control cohorts. In meta-analysis of 4838 obese and 5827 control subjects we obtained genome-wide significant allelic association with obesity for KCNMA1 rs2116830*G with P=2.82×10(-10) and an odds ratio (OR) based on cases vs controls of 1.26 [95% C.I. 1.12-1.41] and for BDNF rs988712*G with P=5.2×10(-17) and an OR of 1.36 [95% C.I. 1.20-1.55]. KCNMA1 rs2116830*G was not associated with BMI in the population-based samples. Adipose tissue (P=0.0001) and fat cell (P=0.04) expression of KCNMA1 was increased in obesity. CONCLUSIONS We have identified KCNMA1 as a new susceptibility locus for obesity, and confirmed the association of the BDNF locus at the genome-wide significant level.
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Affiliation(s)
- Hong Jiao
- Department of Biosciences and Nutrition, Karolinska Institutet, SE-141 83 Huddinge, Sweden
- Clinical Research Centre, Karolinska University Hospital, SE-141 57 Stockholm, Sweden
| | - Peter Arner
- Department of Medicine at Karolinska Institutet and Karolinska University Hospital, SE-141 86 Stockholm, Sweden
| | - Johan Hoffstedt
- Department of Medicine at Karolinska Institutet and Karolinska University Hospital, SE-141 86 Stockholm, Sweden
| | - David Brodin
- Department of Biosciences and Nutrition, Karolinska Institutet, SE-141 83 Huddinge, Sweden
| | - Beatrice Dubern
- INSERM, U-557/INRA U-1125, CNAM, UP13, CRNH-IdF, 93017 Bobigny, France; University Paris 13, 93017, Bobigny, France; AP-HP, Avicenne Hospital, 93017 Bobigny, France
| | - Sébastien Czernichow
- INSERM, U-557/INRA U-1125, CNAM, UP13, CRNH-IdF, 93017 Bobigny, France; University Paris 13, 93017, Bobigny, France; AP-HP, Avicenne Hospital, 93017 Bobigny, France
| | - Ferdinand van't Hooft
- Cardiovascular Genetics Group, Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, SE-17176 Stockholm, Sweden
| | - Tomas Axelsson
- Department of Medical Sciences, Molecular Medicine, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Oluf Pedersen
- Hagedorn Research Institute, Gentofte,, Copenhagen, Denmark
- Center of Basic Metabolic Research, Faculty of Health Sciences, University of Copenhagen, Denmark
| | - Torben Hansen
- Hagedorn Research Institute, Gentofte,, Copenhagen, Denmark
- Center of Basic Metabolic Research, Faculty of Health Sciences, University of Copenhagen, Denmark
| | - Thorkild IA Sørensen
- Institute for Preventive Medicine, Copenhagen University Hospital, Center for Health and Society, Copenhagen, Denmark
| | - Johannes Hebebrand
- Department of Child and Adolescent Psychiatry of the University of Duisburg-Essen, Essen, Germany
| | - Juha Kere
- Department of Biosciences and Nutrition, Karolinska Institutet, SE-141 83 Huddinge, Sweden
- Clinical Research Centre, Karolinska University Hospital, SE-141 57 Stockholm, Sweden
| | - Karin Dahlman-Wright
- Department of Biosciences and Nutrition, Karolinska Institutet, SE-141 83 Huddinge, Sweden
| | - Anders Hamsten
- Cardiovascular Genetics Group, Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, SE-17176 Stockholm, Sweden
| | - Karine Clement
- INSERM, U-872, Nutriomique (team 7) 75006 Paris, France; University Pierre and Marie Curie-Paris 6, Cordeliers Research Center, 75006 Paris, France; AP-HP, Pitié-Salpétrière Hospital, 75013 Paris, France
| | - Ingrid Dahlman
- Department of Medicine at Karolinska Institutet and Karolinska University Hospital, SE-141 86 Stockholm, Sweden
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Abstract
In the population of Danish young men, whose height and weight have been measured at the draft boards since 1943, a sudden steep increase occurred after 1960 in the prevalence of severe obesity (body mass index (BMI) greater than or equal to 31 kg/m2). The increase appeared to be independent of height, homogeneous over the range of severe obesity, unaccompanied by any change in the psychosocial correlates, linked to the birth cohorts, and specific for the severely obese. The cause of the increase in prevalence must be of an environmental nature. Investigation of the developmental course through the school ages and distributional changes over time among school children suggests that the increase in prevalence of severe obesity among young men is due to an increased persistence of obesity through adolescence, which parallels the development of welfare conditions in this country.
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Affiliation(s)
- T I Sørensen
- Department of Medicine, Hvidovre University Hospital, Copenhagen, Denmark
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20
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Togo P, Osler M, Sørensen TI, Heitmann BL. Food intake patterns and body mass index in observational studies. Int J Obes (Lond) 2001; 25:1741-51. [PMID: 11781753 DOI: 10.1038/sj.ijo.0801819] [Citation(s) in RCA: 218] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2000] [Revised: 02/25/2001] [Accepted: 04/20/2001] [Indexed: 11/09/2022]
Abstract
OBJECTIVE To review studies of patterns of food intake, as assessed by diet index, factor analysis or cluster analysis, and their associations with body mass index or obesity (BMI/Ob). DESIGN Systematic literature review MEDLINE search with crosscheck of references. STUDIES Thirty observational studies relating food intake patterns to anthropometric information were identified and reviewed. Food intake patterns were defined using a diet index, factor or cluster analysis in 12, nine and nine studies, respectively. Measures of body mass were made concurrently with the diet assessment in all studies, and only in a few cases were the primary outcomes related to BMI/Ob. RESULTS The food intake patterns identified could, in most factor or cluster analysis studies, be categorised as: (a) meat, fatty, sweet or energy dense foods; (b) vegetables, fruit, whole grain and low-fat foods; or (c) by high alcohol consumption. The diet indexes were designed to capture a high diversity and/or food combinations matching the recommendations. The relationships with BMI/Ob were inconsistent-ten studies found that intake patterns, which we categorised as fatty, sweet or energy dense were positively associated with BMI/Ob, while similar patterns in four other studies were negatively associated with BMI. The significant associations between diet index score and BMI/Ob were consistently negative, while the associations between factor scores or cluster membership and BMI/Ob were less clear in terms of food intake pattern. Men and women had similar food intake patterns, but food intake patterns were less often positively associated with BMI/Ob in women. In 11 studies, there were no significant associations between food intake pattern and BMI/Ob. CONCLUSION This review showed that no consistent associations could be identified between BMI or Ob and food intake patterns, derived from diet index, factor analysis or cluster analysis. However, the heterogeneity of food intake patterns identified by such analyses and the lack of gold standards for the application of these techniques hampers consistent analysis of a relation between food intake patterns and health.
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Affiliation(s)
- P Togo
- Centre for Preventive Medicine, Research Unit for Dietary Studies, Glostrup University Hospital, Glostrup, Denmark.
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21
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Olsen J, Melbye M, Olsen SF, Sørensen TI, Aaby P, Andersen AM, Taxbøl D, Hansen KD, Juhl M, Schow TB, Sørensen HT, Andresen J, Mortensen EL, Olesen AW, Søndergaard C. The Danish National Birth Cohort--its background, structure and aim. Scand J Public Health 2001; 29:300-7. [PMID: 11775787 DOI: 10.1177/14034948010290040201] [Citation(s) in RCA: 792] [Impact Index Per Article: 34.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND It is well known that the time from conception to early childhood has importance for health conditions that reach into later stages of life. Recent research supports this view, and diseases such as cardiovascular morbidity, cancer, mental illnesses, asthma, and allergy may all have component causes that act early in life. Exposures in this period, which influence fetal growth, cell divisions, and organ functioning, may have long-lasting impact on health and disease susceptibility. METHODS To investigate these issues the Danish National Birth Cohort (Better health for mother and child) was established. A large cohort of pregnant women with long-term follow-up of the offspring was the obvious choice because many of the exposures of interest cannot be reconstructed with sufficient validity back in time. The study needs to be large, and it is aimed to recruit 100,000 women early in pregnancy, and to continue follow-up for decades. The Nordic countries are better suited for this kind of research than most other countries because of their population-based registers on diseases, demography and social conditions, linkable at the individual level by means of the unique ID-number given to all citizens. Exposure information is mainly collected by computer-assisted telephone interviews with the women twice during pregnancy and when their children are six and 18 months old. Participants are also asked to fill in a self-administered food frequency questionnaire in mid-pregnancy. Furthermore, a biological bank has been set up with blood taken from the mother twice during pregnancy and blood from the umbilical cord taken shortly after birth. Data collection started in 1996 and the project covered all regions in Denmark in 1999. By August 2000. a total of 60,000 pregnant women had been recruited to the study. It is expected that a large number of gene-environmental hypotheses need to be based on case-control analyses within a cohort like this.
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Affiliation(s)
- J Olsen
- Danish Epidemiology Science Centre, Statens Serum Institut, Copenhagen, Denmark
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22
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Osler M, Holst C, Prescott E, Sørensen TI. Influence of genes and family environment on adult smoking behavior assessed in an adoption study. Genet Epidemiol 2001; 21:193-200. [PMID: 11668576 DOI: 10.1002/gepi.1028] [Citation(s) in RCA: 43] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Twin studies suggest that genetic factors influence smoking behavior. However, in these studies, genetic and environmental influences may be confounded. We examined whether smoking behavior of adoptees is associated with smoking behavior in adoptive and biological relatives in a design in which this confounding is minimized. Data on smoking status were collected using a mailed questionnaire in a sample of 840 adoptive families from the Danish Adoption Register including all non-familial adoptions from 1924 through 1947. Smoking data were available for 706 adoptees, 451 biological fathers, 580 biological mothers, 641 adoptive fathers, 693 adoptive mothers, 199 biological full-siblings, 684 maternal half-siblings, and 576 paternal half-siblings. Adoptees' status as ever, current, heavy, or former (ex-)smokers was related to their relatives' smoking status. Adoptees ever smoking was associated with their full-siblings' status as ever smokers (OR = 3.6 [1.5-8.7]). Adoptees' current smoking was also associated with their full-siblings' ever (OR = 3.2 [1.5-7.7]) and current (OR = 2.6 [1.3-5.0]) smoking, whereas adoptees' heavy smoking was associated with their full-siblings ever (OR = 5.5 [2.1-14.3]), current (OR = 4.0[1.9-8.6]) and heavy (OR = 2.0[1.0-4.2]) smoking. Compared with current smokers, adoptee ex-smokers had full-siblings who were ex-smokers more often (OR = 3.5 [1.0-11.6]), current (OR = 0.4 [0.2-0.8]), and heavy (OR = 0.3 [0.1-0.9]) smokers less often. Adoptees' smoking behavior was not associated with adoptive or biological parents' status as current smokers. This study of smoking behavior in adult adoptees and their biological and adoptee family supports the finding in twin studies of a genetic influence on smoking within the same generation.
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Affiliation(s)
- M Osler
- Institute of Public Health, University of Copenhagen, Blegdamsvej 3, 2200 Copenhagen N, Denmark.
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Heo M, Leibel RL, Boyer BB, Chung WK, Koulu M, Karvonen MK, Pesonen U, Rissanen A, Laakso M, Uusitupa MI, Chagnon Y, Bouchard C, Donohoue PA, Burns TL, Shuldiner AR, Silver K, Andersen RE, Pedersen O, Echwald S, Sørensen TI, Behn P, Permutt MA, Jacobs KB, Elston RC, Hoffman DJ, Allison DB. Pooling analysis of genetic data: the association of leptin receptor (LEPR) polymorphisms with variables related to human adiposity. Genetics 2001; 159:1163-78. [PMID: 11729160 PMCID: PMC1461868 DOI: 10.1093/genetics/159.3.1163] [Citation(s) in RCA: 48] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Analysis of raw pooled data from distinct studies of a single question generates a single statistical conclusion with greater power and precision than conventional metaanalysis based on within-study estimates. However, conducting analyses with pooled genetic data, in particular, is a daunting task that raises important statistical issues. In the process of analyzing data pooled from nine studies on the human leptin receptor (LEPR) gene for the association of three alleles (K109R, Q223R, and K656N) of LEPR with body mass index (BMI; kilograms divided by the square of the height in meters) and waist circumference (WC), we encountered the following methodological challenges: data on relatives, missing data, multivariate analysis, multiallele analysis at multiple loci, heterogeneity, and epistasis. We propose herein statistical methods and procedures to deal with such issues. With a total of 3263 related and unrelated subjects from diverse ethnic backgrounds such as African-American, Caucasian, Danish, Finnish, French-Canadian, and Nigerian, we tested effects of individual alleles; joint effects of alleles at multiple loci; epistatic effects among alleles at different loci; effect modification by age, sex, diabetes, and ethnicity; and pleiotropic genotype effects on BMI and WC. The statistical methodologies were applied, before and after multiple imputation of missing observations, to pooled data as well as to individual data sets for estimates from each study, the latter leading to a metaanalysis. The results from the metaanalysis and the pooling analysis showed that none of the effects were significant at the 0.05 level of significance. Heterogeneity tests showed that the variations of the nonsignificant effects are within the range of sampling variation. Although certain genotypic effects could be population specific, there was no statistically compelling evidence that any of the three LEPR alleles is associated with BMI or waist circumference in the general population.
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Affiliation(s)
- M Heo
- New York Obesity Research Center, Columbia University College of Physicians and Surgeons, New York, New York 10025, USA
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Høidrup S, Prescott EI, Sørensen TI, Gottschau A, Lauritzen JB, Schroll M, Grønbaek MN. [Tobacco smoking and risk of hip fracture in men and women. Results from the Hovedstadens Center for Prospective Population Studies]. Ugeskr Laeger 2001; 163:5532-6. [PMID: 11601121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2023]
Abstract
INTRODUCTION In the present population-based cohort study, we prospectively determined the influence of current, previous, and cumulative smoking history on the risk of hip fracture in men and women and addressed the issue of possible gender difference in susceptibility to tobacco smoking. MATERIAL A total of 13,393 women and 17,379 men, initially examined between 1964 and 1992, were followed up until 1997 for their first admission because of hip fracture. RESULTS During follow-up, a total of 1169 hip fractures were identified. After adjustment for potential confounders, female current smokers had a relative risk of hip fracture of 1.36 (1.12-1.65) and male smoked 1.59 (1.04-2.43) relative to those who have never smoked. In both sexes, the relative risk of hip fracture gradually increased with current and accumulated tobacco consumption. A test for interaction between gender and smoking habits was insignificant. Men who stopped smoking for more than five years had a lower risk of hip fracture than men who currently smoked, whereas no such risk reduction was seen in female ex-smokers. CONCLUSION Tobacco smoking is an independent risk factor for hip fracture in men and women, and there appears to be no gender differences in the smoking-related risk. Men who stopped smoking for more than five years had lower risk of hip fracture than men who currently smoked, whereas no such risk reduction was seen in female ex-smokers.
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Affiliation(s)
- S Høidrup
- H:S Kommunehospitalet, Hovedstadens Center for Prospektive Befolkningsstudier, Center for Epidemiologisk Grundforskning ved Institut for Sygdomsforebyggelse.
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25
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Echwald SM, Sørensen TI, Andersen T, Pedersen O. The Asn363Ser variant of the glucocorticoid receptor gene is not associated with obesity or weight gain in Danish men. Int J Obes (Lond) 2001; 25:1563-5. [PMID: 11673782 DOI: 10.1038/sj.ijo.0801744] [Citation(s) in RCA: 37] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2000] [Revised: 03/14/2001] [Accepted: 03/28/2001] [Indexed: 01/11/2023]
Abstract
OBJECTIVE Testing association of the Asn363Ser variant of the glucocorticoid gene with measures of obesity and weight gain. SUBJECTS 741 obese subjects (BMI > or = 31 kg/m(2) at selection) and 854 random control subjects from the same population, examined at draft board examination and after on average 27.4+/- y. A lean control group (n=351) was further selected as the fraction from the cohort group having a BMI below 25.0 kg/m(2) at the latest examination. METHODS Using PCR-RFLP subjects were genotyped for the Asn363Ser variant and grouped according to genotype. RESULTS The prevalence of the Ser363 allele was 4.7% (95% Cl: 3.3-6.2%) among the obese, 4.1% (2.7-5.5%) among the random cohort subjects and 4.3% (2.1-6.5%) among lean control subjects, respectively, showing no significant differences between the groups (P > 0.1). Furthermore, no differences in BMI, waist-hip ratio or weight gain were seen within any of the groups when defined according to the glucocorticoid receptor genotype. CONCLUSION In the examined population this marker is not a relevant predictor of obesity.
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Affiliation(s)
- S M Echwald
- Steno Diabetes Center and Hagedorn Research Institute, Copenhagen, Denmark.
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Andersen IB, Jørgensen T, Bonnevie O, Grønbaek MN, Sørensen TI. [Tobacco and alcohol are risk factors of complicated peptic ulcers. A prospective cohort study]. Ugeskr Laeger 2001; 163:5194-9. [PMID: 11577526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/17/2023]
Abstract
Both the incidence of and mortality from bleeding and perforated peptic ulcers are growing. We assessed the association between smoking, ingestion of alcohol (including the type of alcoholic beverage), and risk of a complicated peptic ulcer in a population-based study of 26,518 Danish subjects followed up for an average of 13.4 years. There were 214 cases of incident bleeding and 107 cases with perforated ulcers. We estimated the relative risks (RRs) of incident bleeding and perforated peptic ulcers with the Poisson regression analysis. Smoking more than 15 cigarettes a day compared with never smoking increased the risk of a perforated ulcer more than threefold (RR = 3.5; 95% confidence interval [CI] = 1.7-7.1). Ingestion of more than 42 drinks a week increased the risk of a bleeding ulcer fourfold (RR = 4.4; 95% CI = 2.3-8.3) compared with ingestion of less than one drink a week. Comparison of the same group, showed that subjects who ingested more than 21 drinks a week, but no wine, were at a higher risk of a bleeding ulcer (RR = 8.8; 95% CI = 2.2-35) than drinkers of the same amount of alcohol, but with more than 25% of their intake as wine (RR = 2.4; 95% CI = 1.0-6.0).
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Høidrup S, Sørensen TI, Strøger U, Lauritzen JB, Schroll M, Grønbaek M. Leisure-time physical activity levels and changes in relation to risk of hip fracture in men and women. Am J Epidemiol 2001; 154:60-8. [PMID: 11427405 DOI: 10.1093/aje/154.1.60] [Citation(s) in RCA: 58] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
The authors prospectively studied the effect of leisure-time physical activity level on hip fracture risk along with the influence of within-subject changes in activity levels, while taking possible confounding by other health behaviors and poor health into account. Analyses were based on pooled data from three population studies conducted in Copenhagen, Denmark. Among 13,183 women and 17,045 men, 1,121 first hip fractures were identified during follow-up. In comparison with being sedentary, the relative risk (RR) of hip fracture associated with being moderately physically active 2-4 hours per week was 0.72 (95% confidence interval (CI): 0.59, 0.89) in women and 0.75 (95% CI: 0.55, 1.03) in men after adjustment for confounders. Being in the most active leisure activity category did not decrease the risk of hip fracture further. Adjustment for poor health affected the risk estimates only modestly. Subjects who, during follow-up, reduced their physical activity level from the highest or the intermediate activity level to a sedentary level had a higher risk of hip fracture than did those who remained moderately physically active at the intermediate level (multivariate adjusted RR = 2.19, 95% CI: 1.00, 4.84 and RR = 1.89, 95% CI: 1.21, 2.95, for reduction from the highest and intermediate levels, respectively). There was no evidence of a fracture-protective effect from increasing physical activity. In conclusion, moderate levels of physical activity appear to provide protection against later hip fracture. Decline in the physical activity level over time is an important risk factor for hip fracture.
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Affiliation(s)
- S Høidrup
- The Copenhagen Center for Prospective Population Studies, Danish Epidemiology Science Center at the Institute of Preventive Medicine, Copenhagen University Hospital, Copenhagen, Denmark.
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Grønbaek MN, Sørensen TI, Johansen D, Becker U, Gottschau A, Schnohr P, Hein HO, Jensen G. [Beer, wine, spirits and mortality]. Lakartidningen 2001; 98:2585-8. [PMID: 11433994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/20/2023]
Abstract
A population based cohort study investigates the association between alcohol intake and mortality from all causes, coronary heart disease and cancer. The design is prospective with baseline assessment of intake of beer, wine and spirits, smoking habits, educational level, physical activity, and body mass index and a total of 257,859 person-years follow-up on mortality. A total of 4,833 participants died, of these 1,075 from coronary heart disease and 1,552 of cancer. Compared with non-drinkers, light drinkers who avoided wine, had a relative risk of death from all causes of 0.90 (0.82-0.99) and those who drank wine had a relative risk of 0.66 (0.55-0.77). Heavy drinkers who avoided wine were at higher risk of death from all causes than were heavy drinkers who included wine in their alcohol intake. Wine drinkers had significantly lower mortality from both coronary heart disease and cancer than did non-wine drinkers (p = 0.007 and p = 0.004, respectively). In conclusion, wine intake may have a beneficial effect on all cause mortality that is additive to that of alcohol. This effect may be attributable to a reduction in death from both coronary heart disease and cancer.
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Affiliation(s)
- M N Grønbaek
- Center for Epidemiologisk Grundforskning, Institut for Sygdomsforebyggelse, Kommunehospitalet, København.
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Sørensen TI. [Simple paradigms of obesity]. Ugeskr Laeger 2001; 163:2903. [PMID: 11402965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/20/2023]
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Grønbaek MN, Becker PU, Johansen D, Gottschau A, Schnohr P, Hein HO, Jensen GB, Sørensen TI. [Beer, wine, spirits and mortality. Results from a prospective population study]. Ugeskr Laeger 2001; 163:2946-9. [PMID: 11402976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/20/2023]
Abstract
INTRODUCTION The aim of the present population-based cohort study was to examine the association between alcohol intake and mortality from all causes, coronary heart disease, and cancer. METHODS A prospective population study with baseline assessment of beer, wine and spirit consumption, smoking habits, educational level, physical activity, and body mass index in a total of 257,859 person-years follow-up on mortality. RESULTS A total of 4833 participants died, 1075 of these from coronary heart disease and 1552 of cancer. Compared with non-drinkers, light drinkers, who avoided wine, had a relative risk of death from all causes of 0.90 (0.82-0.99) and those who drank wine had a relative risk of 0.66 (0.55-0.77). Heavy drinkers, who avoided wine, were at higher risk of death from all causes than were heavy drinkers, who included wine in their alcohol consumption. Wine drinkers had a significantly lower mortality from both coronary heart disease and cancer than had non-wine drinkers (p = 0.007 and p = 0.004, respectively). CONCLUSION A moderate consumption of wine may have a beneficial effect on all causes of mortality, which is additive to that of alcohol. This effect may be attributable to a reduction in death from both coronary heart disease and cancer.
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Affiliation(s)
- M N Grønbaek
- H:S Kommunehospitalet, Hovedstadens Center for Prospektive Befolkningsstudier, og Center for Epidemiologisk Grundforskning ved Institut for Sygdomsforebyggelse
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Dalgaard LT, Sørensen TI, Drivsholm T, Borch-Johnsen K, Andersen T, Hansen T, Pedersen O. A prevalent polymorphism in the promoter of the UCP3 gene and its relationship to body mass index and long term body weight change in the Danish population. J Clin Endocrinol Metab 2001; 86:1398-402. [PMID: 11238538 DOI: 10.1210/jcem.86.3.7301] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
Abstract
Variability of the uncoupling protein 3 (UCP3) promoter has been associated with increased body mass index (BMI) and altered lipid profiles. Here we tested the hypothesis that variation of the UCP3 promoter is associated with either juvenile or maturity-onset obesity or body weight change over a 26-yr follow-up among Danish subjects. Mutation screening of approximately 1 kb 5' upstream of the UCP3 gene revealed one previously described -55 C-->T variant. The frequency of the polymorphism was evaluated by restriction fragment length polymorphism analysis in four groups of subjects: 1) a group of 744 obese Danish men who at the draft board examinations had a body mass index (BMI) of at least 31 kg/m(2), 2) a randomly selected control group consisting of 857 draftees, 3) 258 middle-aged subjects, and 4) 409 60-yr-old subjects. The frequency of the T allele was 26.0% (95% confidence interval, 23.8-28.2%) among the obese draftees and 26.9% (24.8-29.0%) in the control group (P = 0.6). The variant was not associated with BMI at a young age or with weight gain after a 26-yr follow-up. The frequency of the T allele was 29.5% (25.6-33.4%) in the middle-aged group and 25.8% (22.8-28.8%) among the 60-yr-old subjects. The polymorphism was not associated with increased BMI or percent body fat in these 2 groups. It is concluded that this variant does not play a major role in the development of common obesity among Danish subjects.
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Affiliation(s)
- L T Dalgaard
- Steno Diabetes Center, DK-2820 Gentofte, Denmark
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Olsen J, Melbye M, Sørensen TI, Aaby P. [Center for epidemiologic basic research]. Ugeskr Laeger 2001; 163:1296-7. [PMID: 11258259] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/19/2023]
Affiliation(s)
- J Olsen
- Center for Epidemiologisk Grundforskning, København og Arhus
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Sørensen TI. Third-party rights and risks: a forum on informed consent of persons affected by the study of human subjects--conditions, experiences, and concerns in a Nordic country. J Contin Educ Health Prof 2001; 21:271-277. [PMID: 11803772 DOI: 10.1002/chp.1340210411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
In Denmark, health research using personal information can be conducted only with permission from a regional scientific ethical committee and the national Data Protection Office. There are no rules applying to the rights and risks of third parties. In this article, the implications for third-party rights and risks of the type and level of involvement of the subjects are discussed from a Danish point of view. Particular emphasis is put on the current conditions, experiences, and concerns with regard to use of already registered personal information, which in the Nordic countries offers unique opportunities for large-scale, longitudinal, population-based studies also involving third parties. These opportunities have recently been challenged by a European Community Directive, with which all member states must comply, requiring informed consent on every transaction of personal data, but through a political process, it was possible to obtain a series of amendments allowing the special register-based research to continue. Crucial arguments favoring the amendments were that no damage has been observed so far and that such research has no interest in the individual data, only in the statistical distributions and associations. Finally, the article suggests that the rights and risks of third parties might be considered on the basis of use: third-party information provided by the subject only as a source of such information distinct from use of the information as an integral part of the subjects' information about themselves and their lives.
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Affiliation(s)
- T I Sørensen
- Institute of Preventive Medicine, Kommunehospitalet, DK-1399 Copenhagen K, Denmark.
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Sørensen TI. [A Danish research success]. Ugeskr Laeger 2000; 162:5752. [PMID: 11082669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
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Abstract
BACKGROUND Previous studies have shown an increased risk of inflammatory bowel disease (IBD) among relatives of patients with Crohn disease and ulcerative colitis. In the present study the probandwise concordance rates for ulcerative colitis and Crohn disease among mono- and dizygotic twins were estimated. Further we aimed to evaluate whether smoking habits might influence the concordance, and to look for clinical characteristics of concordant versus discordant twin pairs. METHODS Among the 38,507 identified twins born in Denmark from 1953 to 1982, a questionnaire was sent to the 34,076 who previously had accepted to participate in studies. For twins reporting IBD, the diagnosis was verified by applying standard criteria to records requested from hospitals or practitioners. RESULTS Among the 29,421 (86.3%) twins answering the questionnaire, 103 pairs had at least one twin who suffered from IBD. In the Crohn disease group five of 10 monozygotic pairs, but none of 27 dizygotic pairs were concordant. In the ulcerative colitis group three of 21 monozygotic, and two of 44 dizygotic pairs were concordant. The probandwise concordance rate among monozygotic pairs was 58.3% for Crohn disease and 18.2% for ulcerative colitis; among the dizygotic pairs the rates were 0 and 4.5%, respectively. The frequency of smokers was higher among twins with Crohn disease and lower among twins with ulcerative colitis compared to the frequency in the twin register. Furthermore, smoking habits were found to be of significance for discordance for disease. Regarding the clinical characteristics no homogenous pattern was observed within the concordant pairs and the differences between concordant and discordant pairs were not significant. CONCLUSION The observation of a significantly higher concordance rate among monozygotic than among dizygotic twin pairs strongly points to a genetic influence on occurrence of IBD, which seems to be more pronounced with regard to Crohn disease than to ulcerative colitis. Differences in smoking habits among the members of the discordant twin pairs may influence the discordance.
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Affiliation(s)
- M Orholm
- Dept. of Internal Medicine, Elsinore Hospital, Denmark
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Grønbaek M, Becker U, Johansen D, Gottschau A, Schnohr P, Hein HO, Jensen G, Sørensen TI. Type of alcohol consumed and mortality from all causes, coronary heart disease, and cancer. Ann Intern Med 2000; 133:411-9. [PMID: 10975958 DOI: 10.7326/0003-4819-133-6-200009190-00008] [Citation(s) in RCA: 312] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Although the J-shaped relation between alcohol intake and mortality has been reproduced in many large cohort studies, the question of whether the effects of beer, wine, and spirits differ remains controversial. OBJECTIVE To examine the relation between intake of different types of alcohol and death from all causes, coronary heart disease, and cancer. DESIGN Pooled cohort studies in which intake of beer, wine, and spirits; smoking status; educational level; physical activity; and body mass index were assessed at baseline. SETTING Copenhagen, Denmark. PARTICIPANTS 13 064 men and 11 459 women 20 to 98 years of age. MEASUREMENTS Number of deaths and time to death from all causes, coronary heart disease, and cancer during follow-up. RESULTS During 257 859 person-years of follow-up, 4833 participants died. J-shaped relations were found between total alcohol intake and mortality at various levels of wine intake. Compared with nondrinkers, light drinkers who avoided wine had a relative risk for death from all causes of 0.90 (95% CI, 0.82 to 0.99) and those who drank wine had a relative risk of 0.66 (CI, 0. 55 to 0.77). Heavy drinkers who avoided wine were at higher risk for death from all causes than were heavy drinkers who included wine in their alcohol intake. Wine drinkers had significantly lower mortality from both coronary heart disease and cancer than did non-wine drinkers (P = 0.007 and P = 0.004, respectively). CONCLUSION Wine intake may have a beneficial effect on all-cause mortality that is additive to that of alcohol. This effect may be attributable to a reduction in death from both coronary heart disease and cancer.
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Affiliation(s)
- M Grønbaek
- Institute of Preventive Medicine, Kommunehospitalet, DK-1399 Copenhagen, Denmark
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38
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Andersen IB, Jørgensen T, Bonnevie O, Grønbaek M, Sørensen TI. Smoking and alcohol intake as risk factors for bleeding and perforated peptic ulcers: a population-based cohort study. Epidemiology 2000; 11:434-9. [PMID: 10874551 DOI: 10.1097/00001648-200007000-00012] [Citation(s) in RCA: 66] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Both the incidence of and mortality from bleeding and perforated peptic ulcers are increasing. We assessed the association between smoking, intake of alcohol (including type of alcoholic beverage), and risk of a complicated peptic ulcer in a population-based study of 26,518 Danish subjects followed up for an average of 13.4 years. There were 214 cases of incident bleeding and 107 cases with perforated ulcers. We estimated relative risks (RRs) for incident bleeding and perforated peptic ulcers using Poisson regression analysis. Smoking more than 15 cigarettes per day compared with never smoking increased the risk of a perforated ulcer more than threefold [RR = 3.5; 95% confidence interval (CI) = 1.7-7.1)]. Drinking more than 42 drinks per week increased the risk of a bleeding ulcer fourfold (RR = 4.4; 95% CI = 2.3-8.3) compared with drinking less than one drink per week. Using the same comparison group, subjects who drank more than 21 drinks per week but no wine were at a higher risk of a bleeding ulcer (RR = 8.8; 95% CI = 2.2-35) than drinkers of the same amount of alcohol, but with more than 25% of their intake as wine (RR = 2.4; 95% CI = 1.0-6.0).
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Affiliation(s)
- I B Andersen
- Copenhagen Centre for Prospective Population Studies, Danish Epidemiology Science Centre, Copenhagen University Hospital, Denmark
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Sørensen TI, Astrup AV, Dyerberg J, Hermansen K, Hyldstrup L, Sandström B, Stender S. [Proper advice on nutrition. Recommendations concerning the conduct of the nutritional news]. Ugeskr Laeger 2000; 162:2046-50. [PMID: 10815521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
The Committee on Proper Conduct in Public Advice on Nutrition, set up by the Danish Nutrition Council, has produced recommendations to persons involved in communicating results of nutrition research. The guidelines are targeted on scientists, industry, journalists and publishers as well as consumers to facilitate proper conduct in communication of own or other scientists' research results, which might influence consumers' choice and intake of food. The results are presented as recommendations and checklists providing the necessary requirements to bring people in a position to make the best possible evaluation of the new scientific results and to put the results into their proper perspective. The aim of this report is to improve the process so that the communicator focuses on the background information necessary for the reader/listener/viewer in the current situation to achieve a balanced view and benefit from the new scientific result.
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Sørensen TI. The changing lifestyle in the world. Body weight and what else? Diabetes Care 2000; 23 Suppl 2:B1-4. [PMID: 10860183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Body weight and the prevalence of obesity are rising so rapidly in many countries that the World Health Organization has recognized that there is a "global epidemic of obesity." The prevalence of type 2 diabetes is rising in parallel. In view of its associated cardiovascular complications, we are facing a severe public health problem. Both obesity and type 2 diabetes have a combined genetic and environmental background, but the epidemic must be due to major changes in the environment. By definition, obesity is a result of a positive energy balance, which usually amounts to a tiny proportion of the total energy turnover. Energy intake, energy expenditure, and energy accumulation (as fat) may all be primarily disturbed. There is a great, and still insufficiently understood, variation in prevalence of obesity and in the rate of change of the prevalence. The prevailing contention is that the epidemic is due to the changes in the society--the so-called modernization--leading to overnutrition and a sedentary life. These factors are likely contributors, but it has been difficult to provide consistent evidence for their effects. In Denmark, a steep rise has taken place in the prevalence of obesity among schoolboys and young men in two phases linked to the birth cohorts of the 1940s and of the mid-1960s and later. This rise suggests that environmental influences operating early in life are involved. In conclusion, a global obesity epidemic is developing, but the causes of the epidemic are not yet clear and more research is needed to establish the grounds for prevention.
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Affiliation(s)
- T I Sørensen
- Danish Epidemiology Science Centre, Institute of Preventive Medicine, Copenhagen University Hospital, Denmark
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Høidrup S, Prescott E, Sørensen TI, Gottschau A, Lauritzen JB, Schroll M, Grønbaek M. Tobacco smoking and risk of hip fracture in men and women. Int J Epidemiol 2000; 29:253-9. [PMID: 10817121 DOI: 10.1093/ije/29.2.253] [Citation(s) in RCA: 84] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Previous findings suggest that tobacco smoking increases the risk of hip fracture in women. A similar adverse effect of smoking is suspected to be present in men, but bone mineral density studies have raised the concern that men may be more sensitive to the deleterious effect of smoking on bone than women. In this study we prospectively determined the influence of current, previous, and cumulative smoking history on risk of hip fracture in men and women and addressed the issue of possible gender difference in the susceptibility to tobacco smoking. METHODS Pooled data from three population studies conducted in Copenhagen with detailed information on smoking habit. A total of 13,393 women and 17,379 men, initially examined between 1964 and 1992, were followed until 1997 for first admission due to hip fracture. The relative risks (RR) of hip fracture associated with smoking were estimated by means of multiplicative Poisson regression models. RESULTS During follow-up, 722 hip fractures were identified in women, and 447 in men. After adjustment for potential confounders, including body mass index, female current smokers had an RR of hip fracture of 1.36 (95% CI: 1.12-1.65) and male smokers 1.59 (95% CI: 1.04-2.43) relative to never smokers. In both sexes, the RR of hip fracture gradually increased by current and accumulated tobacco consumption. The RR were consistently higher in men than in women, but the test for interaction between sex and tobacco smoking was insignificant. After 5 years, male ex-smokers had an adjusted RR of 0.73 (95% CI: 0.55-0.98) relative to current smokers, while no significant decrease in risk was observed in female ex-smokers (RR = 0.91; 95% CI: 0.72-1.17)). Approximately 19% of all hip fractures in the present study population were attributable to tobacco smoking. CONCLUSION Tobacco smoking is an independent risk factor for hip fracture in men and women, and there appears to be no gender differences in smoking related risk. Smoking cessation reduces the risk of hip fracture in men after 5 years, while the deleterious effect of smoking seems to be more long-lasting in female ex-smokers.
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Affiliation(s)
- S Høidrup
- Danish Epidemiology Science Centre at the Institute of Preventive Medicine, Copenhagen University Hospital.
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Osler M, Sørensen TI, Olsen J. [Epidemiology]. Ugeskr Laeger 2000; 162:74-5. [PMID: 10658509] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2023]
Affiliation(s)
- M Osler
- Institut for Folkesundhedsvidenskab, Københavns Universitet.
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Dalgaard LT, Sørensen TI, Andersen T, Hansen T, Pedersen O. An untranslated insertion variant in the uncoupling protein 2 gene is not related to body mass index and changes in body weight during a 26-year follow-up in Danish Caucasian men. Diabetologia 1999; 42:1413-6. [PMID: 10651259 DOI: 10.1007/s001250051312] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
AIMS Associations between a 45 bp 3'untranslated insertion polymorphism in the uncoupling protein 2 (UCP2) gene and both body mass index (BMI) and sleeping metabolic rate have previously been reported. We investigated the impact of this polymorphism on BMI and long-term body weight changes. METHODS The allelic frequency of the UCP2 insertion variant was determined in a cohort of 744 obese Danish Caucasian men who had a BMI of at least 31 kg/m2 at the draft-board examinations and a randomly selected control cohort consisting of 872 draftees. Follow-up measurements of BMI were done on average 26 years after the draft-board examinations. RESULTS The prevalence of the insertion allele was 30.4% (95% confidence interval: 28.0-32.8%) among the obese and 29.6% (27.4-31.8%) in the control group (p = 0.6). In a lean group selected as the 354 subjects with a BMI less than 25 kg/m2 at 46 years of age from the control group, the frequency of insertion allele was 29.0% (27.2-30.8%) (p = 0.5 compared with the obese cohort). The BMI at the ages of 20 and 46 years did not differ between genotypes either in the obese or the control group. Similarly, the changes in BMI/year between examinations at 20 and 46 years of age did not differ between genotypes in either group. CONCLUSION/INTERPRETATION In a large group of Danish Caucasian men we found no association between a 3'untranslated insertion polymorphism in the UCP2 gene and obesity. Neither did we identify a relation between this variant and BMI changes during adult age.
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Affiliation(s)
- L T Dalgaard
- Steno Diabetes Center, Gentofte, Copenhagen, Denmark
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Echwald SM, Sørensen TI, Andersen T, Hansen C, Tommerup N, Pedersen O. Sequence variants in the human cocaine and amphetamine-regulated transcript (CART) gene in subjects with early onset obesity. Obes Res 1999; 7:532-6. [PMID: 10574510 DOI: 10.1002/j.1550-8528.1999.tb00710.x] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
OBJECTIVE The cocaine and amphetamine-regulated transcript (CART) is expressed in the brain of rodents and humans, and intracerebroventricular injection of the peptide in rats reduces food intake. The objective of the present study was to chromosomally map the CART gene and to examine the coding region of the gene for variability in obese subjects. METHODS The coding region of the CART gene was analyzed by single-strand conformation polymorphism analysis in 84 subjects with early onset obesity. The prevalence of identified mutations was estimated in a cohort of 757 subjects with juvenile onset obesity [body mass index (BMI) = 35.7+/-5.7 kg/m2+/-standard deviation (S)] and in 890 random control subjects (BMI = 26.1+/-3.6 kg/m2+/-S). Furthermore, using radiation hybrid mapping we mapped the chromosomal localization of the human CART gene. RESULTS Radiation hybrid mapping co-localized the CART gene with a recently published human obesity locus at chromosome 5q13-14 corresponding also to an obesity locus at the similar syntenic region in mice. We identified two silent polymorphisms in the 3'UTR region of the gene (position 1457 deletion of A and position 1475 A-->G substitution) and the prevalence of these was determined among obese and control subjects. However, none of the variants were associated with either obesity or weight gain during an average follow-up period of 27.4+/-8.4 years (S). CONCLUSION Mutations in the coding region of the CART gene are unlikely to be involved in body weight control in Danish Caucasians with early onset obesity.
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Affiliation(s)
- S M Echwald
- Steno Diabetes Center and Hagedorn Research Institute, Copenhagen, Denmark.
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Abstract
STUDY OBJECTIVE To examine the association between intake of different types of alcoholic beverages and self reported subjective health. DESIGN Cross sectional health survey with assessment of intake of beer, wine and spirits (at last non-weekend day), smoking habits, social networks, physical activity, body mass index, educational level, presence of chronic disease, and self reported health. SETTING WHO Copenhagen Healthy City Survey, Denmark. PARTICIPANTS 4113 men and 7926 women aged 18 to 100 years. MAIN RESULTS Of the 12,039 subjects, 8680 reported their health as optimal, and 3359 reported a suboptimal health. After controlling for the covariates, the relation between total alcohol intake and the proportion reporting suboptimal health was J shaped. Heavy drinkers of any of the three types of alcoholic beverages had a higher prevalence of suboptimal health than non-drinkers. However, only light (1-2 glasses of wine yesterday) and moderate (3-5) wine drinkers had significantly lower odds ratios for suboptimal health--0.72 (95% confidence limits; 0.56 to 0.92) and 0.65 (0.49 to 0.87), respectively--when compared with non-wine drinkers. Moderate beer or spirits drinkers did not differ significantly from non-drinkers of these beverages with regard to prevalence of suboptimal health. Consistently, beer preference drinkers had an odds ratio of 1.50 (1.25 to 1.80) for suboptimal health compared with wine preference drinkers. CONCLUSIONS A light to moderate wine intake is related to good self perceived health, whereas this is not the case for beer and spirits. The causal relations creating this association are unknown and should be considered when interpreting the relation between different types of alcoholic beverages and subsequent morbidity and mortality.
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Affiliation(s)
- M Grønbaek
- Danish Epidemiology Science Centre, Copenhagen University Hospital, Denmark
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46
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Mikkelsen KL, Heitmann BL, Keiding N, Sørensen TI. Independent effects of stable and changing body weight on total mortality. Epidemiology 1999; 10:671-8. [PMID: 10535779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/14/2023]
Abstract
Most studies find that associations between mortality and either body mass index or weight change are U-shaped. Previous studies, however, have not considered independent effects of weight level and weight change while also controlling for confounding by diseases leading to weight change. We used follow-up data on average 10-year total mortality from a Danish population of 15,113 men and women, who had their weight measured at about 5-year intervals. We obtained information on preexisting disease at surveys and by linkage to hospital discharge registers. We defined subclinical disease as incident disease or death during the first 4 years of follow-up. We decomposed the mortality risk associated with weight change into a static effect, corresponding to the difference in mortality at stable weight at the initial and attained weight, and a dynamic effect, estimated as the difference between mortality after weight change and mortality at stable weight at the attained weight. Both weight level and weight change had independent effects on total mortality, with both these associations being U-shaped. Adjustment for smoking and the exclusion of subjects with preexisting and subclinical disease did not alter the associations.
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Affiliation(s)
- K L Mikkelsen
- Copenhagen Centre for Prospective Population Studies, Denmark
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47
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Sørensen TI. [Research in Denmark]. Ugeskr Laeger 1999; 161:5812-3. [PMID: 10578701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/14/2023]
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Ek J, Urhammer SA, Sørensen TI, Andersen T, Auwerx J, Pedersen O. Homozygosity of the Pro12Ala variant of the peroxisome proliferation-activated receptor-gamma2 (PPAR-gamma2): divergent modulating effects on body mass index in obese and lean Caucasian men. Diabetologia 1999; 42:892-5. [PMID: 10440134 DOI: 10.1007/s001250051243] [Citation(s) in RCA: 141] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
AIMS/HYPOTHESIS The objectives of the present investigation were to examine: 1) whether a Pro115Gln variant in the peroxisome proliferator-activated receptor-gamma2 (PPAR-gamma2) is associated with juvenile-onset obesity among Danish Caucasianmen and 2) whether the relation of a Pro12Ala polymorphism in PPAR-gamma2 with BMI and long-term weight regulation differ between lean and obese subjects within the same cohort. METHODS The Pro115Gln and Pro112Ala variants were examined using PCR and RFLP in a group of 752 subjects with a Body Mass Index (BMI) of 31.0 kg/m2 or more and in 869 non-obese control subjects. RESULTS We did not find Pro115Gln in any of the 1621 male subjects we examined. Among the males with juvenile-onset obesity, the allelic frequency of the Pro12Ala polymorphism was 14% (95% confidence interval: 12-16%) compared with 16% (14-17%) among the non-obese control subjects (NS). Heterozygosity of the codon 12 variant was not associated with differences in BMI or changes in body weight regulation during follow up in lean or obese subjects. In the group of obese subjects, 21 homozygous Ala12Ala carriers had, however, a higher BMI (38.9 +/- 5.4 kg/m2 (means +/- SD) vs 35.5 +/- 5.5 kg/ m2, p = 0.008) and a higher weight gain (0.27 +/- 0.24 kg x m(-2) x year(-1) vs 0.10 +/- 0.24 kg x m(-2) x year(-1), p = 0.004), compared with wild-type carriers. Moreover, within the control group of 869 men the 14 homozygous carriers of the variant had a lower BMI (24.4 +/- 2.7 kg/m2 vs 26.2 +/- 3.7 kg/m2, p = 0.005) and a slower increase in BMI (0.11 +/- 0.11 kg x m(-2) x year(-1) vs 0.17 +/- 0.11 kg x m(-2) x year(-1), p = 0.002) compared with wild-type carriers. CONCLUSION/INTERPRETATION The codon 12 variant of PPAR-gamma2 is not intrinsically associated with juvenile obesity. The variant may in its homozygous form interact, however, with various combinations of genetic and environmental factors in lean and obese subjects to cause divergent modulating effects on BMI and long-term body weight control.
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Affiliation(s)
- J Ek
- Steno Diabetes Center and Hagedorn Research Institute, Copenhagen, Denmark
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49
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Abstract
OBJECTIVE A global epidemic of obesity is developing, but its causes are still unclear. In Denmark, two periods of steep increases in prevalence of obesity have occurred among young men born in the 1940s and 1960-70s. This study investigated the preceding changes in prevalence of obesity and in the entire body mass index (BMI = weight/height2) distribution by birth cohort, calendar time and age among Danish school boys. METHODS Children attending Copenhagen schools 1937-1983 had annual health examinations, from which we computerized 1,037,468 measurements of height (m) and weight (kg) of 161,314 boys aged 7-13 y. Obesity was defined as age-specific BMI exceeding the 95.0, the 99.0 and the 99.9 percentile among those born 1930-1934, the latter corresponding to the prevalence of obesity among the young men in these cohorts. The median, standard deviation, skewness, and the 5th, 25th, 75th and 95th percentiles of the age-specific BMI were estimated for each birth cohort. RESULTS The prevalence of obesity, defined by the 99.9 percentile, increased at all ages during the same birth years as among the young men, and, accordingly, at earlier calendar years. The prevalence of obesity, defined by the 95.0 percentile, showed a distinctly different pattern: a sharp increase, irrespective of age, during the calendar years 1947-1949, and thereafter a stable level until the 1970s, where a further modest increase began. The prevalence defined by the 99.0 percentile showed a mixture of the trends in those defined by the 99.9 and 95.0 percentiles. The median BMI showed small fluctuations, parallel at all ages. The standard deviation and right-sided skewness increased until birth year 1950, but were almost stable thereafter. The pattern of changes in the quartiles mostly reflected those in the median. CONCLUSIONS The prevalence of obesity defined by the 99.9 or 99.0 percentile has increased in Danish boys born in the 1940s and since the mid 1960s, without corresponding changes in the central part of the BMI distribution. When defining obesity by the 95.0 percentile, there was a sharp distinct age-independent increase in the late 1940s. The development of the obesity epidemic is a heterogeneous phenomenon that has involved changes in environmental influences starting at preschool ages and affecting different subsets of the population, either because of selective exposure or particular susceptibility.
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Affiliation(s)
- B L Thomsen
- The Department of Biostatistics, Institute of Public Health, Faculty of Health Sciences, University of Copenhagen, Denmark
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50
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Osler M, Rostgaard K, Sørensen TI, Madsen M. The effect of recurrent events on register-based estimates of level and trends in incidence of acute myocardial infarction. J Clin Epidemiol 1999; 52:595-600. [PMID: 10391651 DOI: 10.1016/s0895-4356(99)00032-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Although changes in incidence of first acute myocardial infarctions (AMI) are of primary interest in the evaluation of preventive efforts, only few studies have used this measure. In the present study, the risk of recurrence over time in subjects with first AMI is analyzed, and the effect of inclusion of recurrent cases on the estimation of level and trend in the incidence of AMI is evaluated. The National Patient Register of Hospital Discharges and the Causes-of-Death Register were linked, and all cases of admission for AMI and fatal manifestation of the disease since 1977 and until 1992 in the Danish population were identified. New events occurred during the following 12 years in 46% of men and 42% of women with their first AMI in 1980. Ninety percent of the recurrent events occurred during the first 5 years. Using absence of events during only 1 preceding year as the inclusion criteria, the incidence rate would be overestimated by about 20%-30%. However, if the preceding event-free period was of the same duration throughout the study period, the trends in AMI rates were not altered by expanding the event-free period up to 14 years before the index event. Although rates of AMI based on the total number of affected persons without AMI in the previous year overestimate the true incidence by 20%-30%, trends in these rates reflect trends in rates of first events with reasonable accuracy.
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Affiliation(s)
- M Osler
- Institute of Public Health, University of Copenhagen, Denmark
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