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Kirkegaard H, Bliddal M, Støvring H, Rasmussen KM, Gunderson EP, Køber L, Sørensen TIA, Nohr EA. Breastfeeding and later maternal risk of hypertension and cardiovascular disease - The role of overall and abdominal obesity. Prev Med 2018; 114:140-148. [PMID: 29953898 DOI: 10.1016/j.ypmed.2018.06.014] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [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: 11/30/2017] [Revised: 06/21/2018] [Accepted: 06/23/2018] [Indexed: 10/28/2022]
Abstract
In this study, we examined how any, full, and partial breastfeeding durations were associated with maternal risk of hypertension and cardiovascular disease (CVD), and how prepregnancy body mass index (BMI) and waist circumference 7 years postpartum influenced these associations. A total of 63,260 women with live-born singleton infants in the Danish National Birth Cohort (1996-2002) were included. Interviews during pregnancy and 6 and 18 months postpartum provided information on prepregnancy weight, height, and the duration of full and partial breastfeeding. Waist circumference was self-reported 7 years postpartum. Cox regression models were used to estimate hazard ratios of incident hypertension and CVD, registered in the National Patient Register from either 18 months or 7 years postpartum through 15 years postpartum. Any breastfeeding ≥4 months was associated with 20-30% lower risks of hypertension and CVD compared to <4 months in both normal/underweight and overweight/obese women. At follow-up starting 7 years postpartum, similar risk reductions were observed after accounting for waist circumference adjusted for BMI. Partial breastfeeding >2 months compared to ≤2 months, following up to 6 months of full breastfeeding, was associated with 10-25% lower risk of hypertension and CVD. Compared with short breastfeeding duration, additional partial breastfeeding was as important as additional full breastfeeding in reducing risk of hypertension and CVD. Altogether, longer duration of breastfeeding was associated with lower maternal risk of hypertension and CVD irrespective of prepregnancy BMI and abdominal adiposity 7 years after delivery. Both full and partial breastfeeding contributed to an improved cardiovascular health in mothers.
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Affiliation(s)
- H Kirkegaard
- Research Unit of Obstetrics and Gynecology, Department of Clinical Research, University of Southern Denmark, Kløvervænget 10, 10th floor, 5000 Odense C, Denmark.
| | - M Bliddal
- Odense Patient Data Explorative Network (OPEN), Department of Clinical Research, University of Southern Denmark and Odense University Hospital, J.B. Winsløws Vej 9a 3rd floor, 5000 Odense C, Denmark
| | - H Støvring
- Department of Public Health, Biostatistics, Aarhus University, Bartholins Alle 2, 8000 Aarhus C, Denmark
| | - K M Rasmussen
- Division of Nutritional Sciences, Cornell University, 111 Savage Hall Ithaca, NY 14853, USA
| | - E P Gunderson
- Division of Research, Cardiovascular and Metabolic Conditions Section, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612, USA
| | - L Køber
- Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark
| | - T I A Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
| | - E A Nohr
- Research Unit of Obstetrics and Gynecology, Department of Clinical Research, University of Southern Denmark, Kløvervænget 10, 10th floor, 5000 Odense C, Denmark; Department of Gynecology and Obstetrics, Odense University Hospital, Sdr. Boulevard 55, 5000 Odense C, Denmark
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2
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Jelenkovic A, Yokoyama Y, Sund R, Hur YM, Harris JR, Brandt I, Nilsen TS, Ooki S, Ullemar V, Almqvist C, Magnusson PKE, Saudino KJ, Stazi MA, Fagnani C, Brescianini S, Nelson TL, Whitfield KE, Knafo-Noam A, Mankuta D, Abramson L, Cutler TL, Hopper JL, Llewellyn CH, Fisher A, Corley RP, Huibregtse BM, Derom CA, Vlietinck RF, Bjerregaard-Andersen M, Beck-Nielsen H, Sodemann M, Krueger RF, McGue M, Pahlen S, Alexandra Burt S, Klump KL, Dubois L, Boivin M, Brendgen M, Dionne G, Vitaro F, Willemsen G, Bartels M, van Beijsterveld CEM, Craig JM, Saffery R, Rasmussen F, Tynelius P, Heikkilä K, Pietiläinen KH, Bayasgalan G, Narandalai D, Haworth CMA, Plomin R, Ji F, Ning F, Pang Z, Rebato E, Tarnoki AD, Tarnoki DL, Kim J, Lee J, Lee S, Sung J, Loos RJF, Boomsma DI, Sørensen TIA, Kaprio J, Silventoinen K. Associations between birth size and later height from infancy through adulthood: An individual based pooled analysis of 28 twin cohorts participating in the CODATwins project. Early Hum Dev 2018; 120:53-60. [PMID: 29656171 PMCID: PMC6532975 DOI: 10.1016/j.earlhumdev.2018.04.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Revised: 04/06/2018] [Accepted: 04/07/2018] [Indexed: 11/24/2022]
Abstract
BACKGROUND There is evidence that birth size is positively associated with height in later life, but it remains unclear whether this is explained by genetic factors or the intrauterine environment. AIM To analyze the associations of birth weight, length and ponderal index with height from infancy through adulthood within mono- and dizygotic twin pairs, which provides insights into the role of genetic and environmental individual-specific factors. METHODS This study is based on the data from 28 twin cohorts in 17 countries. The pooled data included 41,852 complete twin pairs (55% monozygotic and 45% same-sex dizygotic) with information on birth weight and a total of 112,409 paired height measurements at ages ranging from 1 to 69 years. Birth length was available for 19,881 complete twin pairs, with a total of 72,692 paired height measurements. The association between birth size and later height was analyzed at both the individual and within-pair level by linear regression analyses. RESULTS Within twin pairs, regression coefficients showed that a 1-kg increase in birth weight and a 1-cm increase in birth length were associated with 1.14-4.25 cm and 0.18-0.90 cm taller height, respectively. The magnitude of the associations was generally greater within dizygotic than within monozygotic twin pairs, and this difference between zygosities was more pronounced for birth length. CONCLUSION Both genetic and individual-specific environmental factors play a role in the association between birth size and later height from infancy to adulthood, with a larger role for genetics in the association with birth length than with birth weight.
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Affiliation(s)
- A 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
| | - Y Yokoyama
- Department of Public Health Nursing, Osaka City University, Osaka, Japan
| | - R Sund
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - YM Hur
- Department of Education, Mokpo National University, Jeonnam, South Korea
| | - JR Harris
- Norwegian Institute of Public Health, Oslo, Norway
| | - I Brandt
- Norwegian Institute of Public Health, Oslo, Norway
| | - TS Nilsen
- Norwegian Institute of Public Health, Oslo, Norway
| | - S Ooki
- Department of Health Science, Ishikawa Prefectural Nursing University, Kahoku, Ishikawa, Japan
| | - V Ullemar
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - C 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
| | - PKE Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - KJ Saudino
- Boston University, Department of Psychological and Brain Sciences, Boston, MA, USA
| | - MA Stazi
- Istituto Superiore di Sanità - Centre for Behavioural Sciences and Mental Health, Rome, Italy
| | - C Fagnani
- Istituto Superiore di Sanità - Centre for Behavioural Sciences and Mental Health, Rome, Italy
| | - S Brescianini
- Istituto Superiore di Sanità - Centre for Behavioural Sciences and Mental Health, Rome, Italy
| | - TL Nelson
- Department of Health and Exercise Sciences, Colorado School of Public Health, Colorado State University, USA
| | - KE Whitfield
- Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - A Knafo-Noam
- The Hebrew University of Jerusalem, Jerusalem, Israel
| | - D Mankuta
- Hadassah Hospital Obstetrics and Gynecology Department, Hebrew University Medical School, Jerusalem, Israel
| | - L Abramson
- The Hebrew University of Jerusalem, Jerusalem, Israel
| | - TL Cutler
- The Australian Twin Registry, Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Victoria, Australia
| | - JL 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, South Korea
| | - CH Llewellyn
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - A Fisher
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - RP Corley
- Institute of Behavioral Science, University of Colorado, Boulder, CO, USA
| | - BM Huibregtse
- Institute of Behavioral Science, University of Colorado, Boulder, CO, USA
| | - CA Derom
- Centre of Human Genetics, University Hospitals Leuven, Leuven, Belgium, Department of Obstetrics and Gynaecology, Ghent University Hospitals, Ghent, Belgium
| | - RF Vlietinck
- Centre of Human Genetics, University Hospitals Leuven, Leuven, Belgium
| | - M 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
| | - H Beck-Nielsen
- Department of Endocrinology, Odense University Hospital, Odense, Denmark
| | - M Sodemann
- Department of Infectious Diseases, Odense University Hospital, Odense, Denmark
| | - RF Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - M McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - S Pahlen
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | | | - KL Klump
- Michigan State University, East Lansing, MI, USA
| | - L Dubois
- School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - M Boivin
- École de psychologie, Université Laval, Québec, Canada, Institute of Genetic, Neurobiological, and Social Foundations of Child Development, Tomsk State University, Russian Federation
| | - M Brendgen
- Département de psychologie, Université du Québec à Montréal, Montréal, Québec, Canada
| | - G Dionne
- École de psychologie, Université Laval, Québec, Canada
| | - F Vitaro
- École de psychoéducation, Université de Montréal, Montréal, Québec, Canada
| | - G Willemsen
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| | - M Bartels
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| | - CEM van Beijsterveld
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| | - JM Craig
- Murdoch Childrens Research Institute, Royal Children’s Hospital, Parkville, Victoria, Australia, Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - R Saffery
- Murdoch Childrens Research Institute, Royal Children’s Hospital, Parkville, Victoria, Australia, Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - F Rasmussen
- Department of Health Sciences, Lund University, Sweden
| | - P Tynelius
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - K Heikkilä
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - KH Pietiläinen
- Obesity Research Unit, Research Programs Unit, University of Helsinki, Helsinki, Finland
| | - G Bayasgalan
- Healthy Twin Association of Mongolia, Ulaanbaatar, Mongolia
| | - D Narandalai
- Healthy Twin Association of Mongolia, Ulaanbaatar, Mongolia, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - CMA Haworth
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - R Plomin
- King’s College London, MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - F Ji
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China
| | - F Ning
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China
| | - Z Pang
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China
| | - E Rebato
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Leioa, Spain
| | - AD Tarnoki
- Department of Radiology, Semmelweis University, Budapest, Hungary, Hungarian Twin Registry, Budapest, Hungary
| | - DL Tarnoki
- Department of Radiology, Semmelweis University, Budapest, Hungary, Hungarian Twin Registry, Budapest, Hungary
| | - J Kim
- Department of Epidemiology, School of Public Health, Seoul National University, Seoul, South Korea
| | - J Lee
- Department of Epidemiology, School of Public Health, Seoul National University, Seoul, South Korea
| | - S Lee
- Department of Epidemiology, School of Public Health, Seoul National University, Seoul, South Korea
| | - J Sung
- Department of Epidemiology, School of Public Health, Seoul National University, Seoul, South Korea, Institute of Health and Environment, Seoul National University, Seoul, South Korea
| | - RJF 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
| | - DI Boomsma
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| | - TIA 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
| | - J Kaprio
- Department of Public Health, University of Helsinki, Helsinki, Finland, Institute for Molecular Medicine FIMM, Helsinki, Finland
| | - K Silventoinen
- Department of Social Research, University of Helsinki, Helsinki, Finland, Osaka University Graduate School of Medicine, Osaka University, Osaka, Japan
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3
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Warrington NM, Richmond R, Fenstra B, Myhre R, Gaillard R, Paternoster L, Wang CA, Beaumont RN, Das S, Murcia M, Barton SJ, Espinosa A, Thiering E, Atalay M, Pitkänen N, Ntalla I, Jonsson AE, Freathy R, Karhunen V, Tiesler CMT, Allard C, Crawford A, Ring SM, Melbye M, Magnus P, Rivadeneira F, Skotte L, Hansen T, Marsh J, Guxens M, Holloway JW, Grallert H, Jaddoe VWV, Lowe Jr WL, Roumeliotaki T, Hattersley AT, Lindi V, Pahkala K, Panoutsopoulou K, Standl M, Flexeder C, Bouchard L, Aagaard Nohr E, Marina LS, Kogevinas M, Niinikoski H, Dedoussis G, Heinrich J, Reynolds RM, Lakka T, Zeggini E, Raitakari OT, Chatzi L, Inskip HM, Bustamante M, Hivert MF, Jarvelin MR, Sørensen TIA, Pennell C, Felix JF, Jacobsson B, Geller F, Evans DM, Lawlor DA. Maternal and fetal genetic contribution to gestational weight gain. Int J Obes (Lond) 2018; 42:775-784. [PMID: 28990592 PMCID: PMC5784805 DOI: 10.1038/ijo.2017.248] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Revised: 08/27/2017] [Accepted: 09/03/2017] [Indexed: 12/25/2022]
Abstract
BACKGROUND Clinical recommendations to limit gestational weight gain (GWG) imply high GWG is causally related to adverse outcomes in mother or offspring, but GWG is the sum of several inter-related complex phenotypes (maternal fat deposition and vascular expansion, placenta, amniotic fluid and fetal growth). Understanding the genetic contribution to GWG could help clarify the potential effect of its different components on maternal and offspring health. Here we explore the genetic contribution to total, early and late GWG. PARTICIPANTS AND METHODS A genome-wide association study was used to identify maternal and fetal variants contributing to GWG in up to 10 543 mothers and 16 317 offspring of European origin, with replication in 10 660 mothers and 7561 offspring. Additional analyses determined the proportion of variability in GWG from maternal and fetal common genetic variants and the overlap of established genome-wide significant variants for phenotypes relevant to GWG (for example, maternal body mass index (BMI) and glucose, birth weight). RESULTS Approximately 20% of the variability in GWG was tagged by common maternal genetic variants, and the fetal genome made a surprisingly minor contribution to explain variation in GWG. Variants near the pregnancy-specific beta-1 glycoprotein 5 (PSG5) gene reached genome-wide significance (P=1.71 × 10-8) for total GWG in the offspring genome, but did not replicate. Some established variants associated with increased BMI, fasting glucose and type 2 diabetes were associated with lower early, and higher later GWG. Maternal variants related to higher systolic blood pressure were related to lower late GWG. Established maternal and fetal birth weight variants were largely unrelated to GWG. CONCLUSIONS We found a modest contribution of maternal common variants to GWG and some overlap of maternal BMI, glucose and type 2 diabetes variants with GWG. These findings suggest that associations between GWG and later offspring/maternal outcomes may be due to the relationship of maternal BMI and diabetes with GWG.
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Affiliation(s)
- N M Warrington
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - R Richmond
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - B Fenstra
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
| | - R Myhre
- Norwegian Institute of Public Health, Oslo, Norway
| | - R Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - L Paternoster
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - C A Wang
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - R N Beaumont
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - S Das
- Department of Public Health and Primary Care, School of Public Health, Imperial College London, London, UK
| | - M Murcia
- Epidemiology and Environmental Health Joint Research Unit, FISABIO–Universitat Jaume I–Universitat de València, Valencia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
| | - S J Barton
- MRC Lifecourse Epidemiology Unit, Faulty of Medicine, University of Southampton, Southampton, UK
| | - A Espinosa
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - E Thiering
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany
| | - M Atalay
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - N Pitkänen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - I Ntalla
- William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - A E Jonsson
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - R Freathy
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - V Karhunen
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
| | - C M T Tiesler
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany
| | - C Allard
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Canada
| | - A Crawford
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - S M Ring
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- ALSPAC (Children of the 90s), School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - M Melbye
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
- Department of Clinical Medicine, Copenhagen University, Copenhagen, Denmark
- Department of Medicine, Stanford School of Medicine, Stanford, CA, USA
| | - P Magnus
- Norwegian Institute of Public Health, Oslo, Norway
| | - F Rivadeneira
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - L Skotte
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
| | - T Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - J Marsh
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - M Guxens
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre–Sophia Children’s Hospital, Rotterdam, The Netherlands
| | - J W Holloway
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - H Grallert
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Clinical Cooperation Group Type 2 Diabetes, Helmholtz Zentrum München, Neuherberg, Germany
- Clinical Cooperation Group Nutrigenomics and Type 2 Diabetes, Helmholtz Zentrum München, Neuherberg, Germany
- Technische Universität München, Freising, Germany
| | - V W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - W L Lowe Jr
- Department of Medicine, Division of Endocrinology, Metabolism, and Molecular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - T Roumeliotaki
- Department of Social Medicine, University of Crete, Crete, Greece
| | - A T Hattersley
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - V Lindi
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - K Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Paavo Nurmi Centre, Sports and Exercise Medicine Unit, Department of Health and Physical Activity, Turku, Finland
| | - K Panoutsopoulou
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - M Standl
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
| | - C Flexeder
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
| | - L Bouchard
- Department of Biochemistry, Faculty of medicine and life sciences, Université de Sherbrooke, Sherbrooke, Canada
| | - E Aagaard Nohr
- Public Health Division of Gipuzkoa, Basque Government, Vitoria-Gasteiz, Spain
| | - L Santa Marina
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- Health Research Institute, Biodonostia, San Sebastián, Gipuzkoa, Spain
- Health Research Institute, Biodonostia, San Sebastián, Spain
| | - M Kogevinas
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - H Niinikoski
- Department of Pediatrics, Turku University Hospital, Turku, Finland
| | - G Dedoussis
- Department of Nutrition and Dietetics, Harokopio University of Athens, Athens, Greece
| | - J Heinrich
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Inner City Clinic, University Hospital Munich, Ludwig Maximilian University of Munich, Munich, Germany
| | - R M Reynolds
- British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - T Lakka
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, School of Medicine, University of Eastern Finland, Kuopio, Finland
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - E Zeggini
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - O T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - L Chatzi
- Department of Social Medicine, University of Crete, Crete, Greece
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Social Medicine, University of Crete, Crete, Greece
- Department of Genetics and Cell Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - H M Inskip
- MRC Lifecourse Epidemiology Unit, Faulty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - M Bustamante
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - M-F Hivert
- Department of Population Medicine at Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - M-R Jarvelin
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC–PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
| | - T I A Sørensen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Epidemiology (formally the Institute of Preventive Medicine), Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | - C Pennell
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - J F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - B Jacobsson
- Department of Obstetrics and Gynecology, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
- Department of Genetics and Bioinformatics, Domain of Health Data and Digitalization, Institute of Public Health, Oslo, Norway
| | - F Geller
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
| | - D M Evans
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - D A Lawlor
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
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4
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Vallgårda S, Nielsen MEJ, Hansen AKK, Cathaoir KÓ, Hartlev M, Holm L, Christensen BJ, Jensen JD, Sørensen TIA, Sandøe P. Should Europe follow the US and declare obesity a disease?: a discussion of the so-called utilitarian argument. Eur J Clin Nutr 2017; 71:1263-1267. [PMID: 28952605 DOI: 10.1038/ejcn.2017.103] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2017] [Revised: 04/26/2017] [Accepted: 05/19/2017] [Indexed: 02/06/2023]
Abstract
In 2013, the American Medical Association (AMA) decided to recognize obesity as a disease. One of the main arguments presented in favor of this was broadly 'utilitarian': the disease label would, it was claimed, provide more benefits than harms and thereby serve the general good. Several individuals and groups have argued that this reasoning is just as powerful in the European context. Drawing mainly on a review of relevant social science research, we discuss the validity of this argument. Our conclusion is that in a Western European welfare state, defining obesity as a disease will not on balance serve the general good, and that it is therefore more appropriate to continue to treat obesity as a risk factor. The main reasons presented in favor of this conclusion are: It is debatable whether a disease label would lead to better access to care and preventive measures and provide better legal protection in Europe. Medicalization and overtreatment are possible negative effects of a disease label. There is no evidence to support the claim that declaring obesity a disease would reduce discrimination or stigmatization. In fact, the contrary is more likely, since a disease label would categorically define the obese body as deviant.
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Affiliation(s)
- S Vallgårda
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - M E J Nielsen
- Department of Food and Resource Economics, University of Copenhagen, Copenhagen, Denmark.,Department of Media Cognition, Communication, University of Copenhagen, Copenhagen, Denmark
| | - A K K Hansen
- The SAXO Institute, University of Copenhagen, Copenhagen, Denmark
| | - K Ó Cathaoir
- Faculty of Law, University of Copenhagen, Copenhagen, Denmark
| | - M Hartlev
- Faculty of Law, University of Copenhagen, Copenhagen, Denmark
| | - L Holm
- Department of Food and Resource Economics, University of Copenhagen, Copenhagen, Denmark
| | - B J Christensen
- Department of Food and Resource Economics, University of Copenhagen, Copenhagen, Denmark
| | - J D Jensen
- Department of Food and Resource Economics, University of Copenhagen, Copenhagen, Denmark
| | - T I A Sørensen
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark.,Department of Public Health, University of Copenhagen The Novo Nordisk Foundation Centre for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Epidemiology (formerly Institute of Preventive Medicine), Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | - P Sandøe
- Department of Food and Resource Economics, University of Copenhagen, Copenhagen, Denmark.,Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark
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5
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Graversen L, Howe LD, Sørensen TIA, Sovio U, Hohwü L, Tilling K, Laitinen J, Taanila A, Pouta A, Järvelin M, Obel C. Body mass index trajectories from 2 to 18 years - exploring differences between European cohorts. Pediatr Obes 2017; 12:102-109. [PMID: 26918667 PMCID: PMC5347959 DOI: 10.1111/ijpo.12115] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2015] [Revised: 10/26/2015] [Accepted: 11/28/2015] [Indexed: 12/03/2022]
Abstract
BACKGROUND In recent decades, there has been an increase in the prevalence of childhood overweight in most high-income countries. Within northern Europe, prevalence tends to be higher in the UK compared with the Scandinavian countries. We aimed to study differences in body mass index (BMI) trajectories between large cohorts of children from UK and Scandinavian populations. METHODS We compared BMI trajectories in participants from the English Avon Longitudinal Study of Parents and Children born in 1991-1993 (ALSPAC) (N = 6517), the Northern Finland Birth Cohorts born in 1966 (NFBC1966) (N = 3321) and 1986 (NFBC1986) (N = 4764), and the Danish Aarhus Birth Cohort born in 1990-1992 (ABC) (N = 1920). We used multilevel models to estimate BMI trajectories from 2 to 18 years. We explored whether cohort differences were explained by maternal BMI, height, education or smoking during pregnancy and whether differences were attributable to changes in the degree of skew in the BMI distribution. RESULTS Differences in mean BMI between the cohorts were small but emerged early and persisted in most cases across childhood. Girls in ALSPAC had a higher BMI than all other cohorts throughout childhood, e.g. compared with the NFBC1986 BMI was 2.2-3.5% higher. For boys, the difference emerging over time (comparing the two NFBC's) exceeded the differences across populations (comparing NFBC1986, ABC and ALSPAC). BMI distribution demonstrated increasing right skew with age. CONCLUSION Population-level differences between cohorts were small, tended to emerge very early, persisted across childhood, and demonstrated an increase in the right-hand tail of the BMI distribution.
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Affiliation(s)
- L. Graversen
- Section for General Medical Practice, Department of Public HealthAarhus UniversityAarhusDenmark
| | - L. D. Howe
- MRC Integrative Epidemiology UnitUniversity of BristolBristolUK,School of Social and Community MedicineUniversity of BristolBristolUK
| | - T. I. A. Sørensen
- MRC Integrative Epidemiology UnitUniversity of BristolBristolUK,Institute of Preventive MedicineBispebjerg and Frederiksberg HospitalsCopenhagenDenmark,Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark
| | - U. Sovio
- Department of Obstetrics and GynaecologyUniversity of CambridgeCambridgeUK,Department of Epidemiology and BiostatisticsImperial CollegeLondonUK
| | - L. Hohwü
- Section for General Medical Practice, Department of Public HealthAarhus UniversityAarhusDenmark
| | - K. Tilling
- MRC Integrative Epidemiology UnitUniversity of BristolBristolUK,School of Social and Community MedicineUniversity of BristolBristolUK
| | - J. Laitinen
- Finnish Institute of Occupational HealthHelsinkiFinland
| | - A. Taanila
- Institute of Health SciencesUniversity of OuluOuluFinland,Unit of Primary CareUniversity Hospital of OuluOuluFinland
| | - A. Pouta
- National Institute of Health and WelfareOuluFinland,Department of Obstetrics and GynecologyUniversity of Oulu and Oulu University HospitalOuluFinland
| | - M‐R. Järvelin
- Department of Epidemiology and BiostatisticsImperial CollegeLondonUK,Unit of Primary CareUniversity Hospital of OuluOuluFinland,Biocenter OuluUniversity of OuluOuluFinland,Center for Life Course EpidemiologyUniversity of OuluOuluFinland
| | - C. Obel
- Section for General Medical Practice, Department of Public HealthAarhus UniversityAarhusDenmark
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6
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Bliddal M, Pottegård A, Kirkegaard H, Olsen J, Sørensen TIA, Nohr EA. Depressive symptoms in women's midlife in relation to their body weight before, during and after childbearing years. Obes Sci Pract 2016; 2:415-425. [PMID: 28090347 PMCID: PMC5192541 DOI: 10.1002/osp4.75] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2016] [Revised: 09/16/2016] [Accepted: 09/17/2016] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE This study aimed to examine how weight and weight changes related to pregnancy were associated with depressive symptoms 11-16 years after childbirth. METHOD We followed 16,998 first-time mothers from the Danish National Birth Cohort up till 16 years after birth and estimated associations between depressive symptoms and pre-pregnancy body mass index (BMI) (kg m-2), weight changes in different time periods, and BMI-adjusted waist circumference 7 years after birth (WCBMI, cm). Depressive symptoms were estimated by the Center for Epidemiologic Studies Depression 10-item scale. Multiple logistic regression analyses were used to estimate odds ratios (OR) and 95% confidence intervals. RESULTS Compared with normal-weight, we found that underweight, overweight and obesity were associated with greater odds of depressive symptoms (1.29, 1.24 and 1.73, respectively). Compared with weight change ±1 BMI unit during the total follow-up period, greater odds for depressive symptoms were observed with weight loss (OR 1.14, 0.96-1.36) or gain of 2-2.99 kg m-2 (OR 1.11, 0.92-1.33) or gain of ≥3 kg m-2 (OR 1.68, 1.46-1.94). WCBMI > 2.2 cm was associated with greater odds of depressive symptoms (OR 1.16, 0.99-1.36) than waist circumference as predicted by BMI. CONCLUSION Low and high pre-pregnancy BMI, weight changes and WCBMI larger than predicted were associated with more depressive symptoms in midlife.
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Affiliation(s)
- M. Bliddal
- Institute of Clinical Research, Research Unit of Gynaecology and ObstetricsUniversity of Southern DenmarkOdenseDenmark
- Department of Gynaecology and ObstetricsOdense University HospitalOdenseDenmark
- OPEN – Odense Patient data Explorative NetworkOdense University HospitalOdenseDenmark
| | - A. Pottegård
- Clinical Pharmacology, Department of Public HealthUniversity of Southern DenmarkOdenseDenmark
| | - H. Kirkegaard
- Institute of Clinical Research, Research Unit of Gynaecology and ObstetricsUniversity of Southern DenmarkOdenseDenmark
| | - J. Olsen
- Department of Public Health, Section for EpidemiologyAarhus UniversityAarhusDenmark
| | - T. I. A. Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic ResearchUniversity of CopenhagenCopenhagenDenmark
- Institute of Preventive MedicineBispebjerg and Frederiksberg Hospitals – Part of Copenhagen University HospitalCopenhagenDenmark
- MRC Integrative Epidemiology UnitBristol UniversityBristolUK
| | - E. A. Nohr
- Institute of Clinical Research, Research Unit of Gynaecology and ObstetricsUniversity of Southern DenmarkOdenseDenmark
- Department of Gynaecology and ObstetricsOdense University HospitalOdenseDenmark
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7
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Jensen CB, Stougård M, Sørensen TIA, Heitmann BL. Response to 'Prenatal exposure to vitamin-D from fortified margarine and milk and body size at age 7 years'. Eur J Clin Nutr 2016; 70:1092. [PMID: 27167670 DOI: 10.1038/ejcn.2016.75] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- C B Jensen
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, The Capital Region, Frederiksberg, Denmark
| | - M Stougård
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, The Capital Region, Frederiksberg, Denmark
| | - T I A Sørensen
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, The Capital Region, Frederiksberg, Denmark
| | - B L Heitmann
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, The Capital Region, Frederiksberg, Denmark
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8
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Aarestrup J, Gamborg M, Ulrich LG, Sørensen TIA, Baker JL. Childhood body mass index and height and risk of histologic subtypes of endometrial cancer. Int J Obes (Lond) 2016; 40:1096-102. [PMID: 27121254 PMCID: PMC4973214 DOI: 10.1038/ijo.2016.56] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Revised: 01/21/2016] [Accepted: 03/04/2016] [Indexed: 01/02/2023]
Abstract
Background: Endometrial cancer risk factors include adult obesity and taller stature, but the influence of size earlier in life is incompletely understood. We examined whether childhood body mass index (BMI; kg m−2) and height were associated with histologic subtypes of endometrial cancer. Methods: From the Copenhagen School Health Records Register, 155 505 girls born 1930–1989 with measured weights and heights from 7 to 13 years were linked to health registers. BMI and height were transformed to age-specific z-scores. Hazard ratios (HRs) and 95% confidence intervals were estimated by Cox regressions. Results: A total of 1020 endometrial cancers were recorded. BMI was non-linearly associated with all endometrial cancers, oestrogen-dependent cancers and the subtype of endometrioid adenocarcinomas; associations were statistically significant and positive above a z-score=0 and non-significant below zero. Compared with a 7-year-old girl with a BMI z-score=0, an equally tall girl who was 3.6 kg heavier (BMI z-score=1.5) had a hazard ratio=1.53 (95% confidence interval: 1.29–1.82) for endometrioid adenocarcinoma. BMI was not associated with non-oestrogen-dependent cancers, except at the oldest childhood ages. Height at all ages was statistically significant and positively associated with all endometrial cancers, except non-oestrogen-dependent cancers. At 7 years, per ~5.2 cm (1 z-score), the risk of endometrioid adenocarcinoma was 1.18 (95% confidence interval: 1.09–1.28). Among non-users of unopposed oestrogens, associations between BMI and endometrioid adenocarcinoma strengthened, but no effects on height associations were observed. Conclusions: Endometrial carcinogenesis is linked to early-life body size, suggesting that childhood BMI and height may be useful indicators for the risk of later development of endometrial cancer and might aid in the early prevention of obesity-related endometrial cancers.
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Affiliation(s)
- J Aarestrup
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | - M Gamborg
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | - L G Ulrich
- Copenhagen University Hospital Rigshospitalet, Department of Gynaecology and Obstetrics, Copenhagen, Denmark
| | - T I A Sørensen
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark.,Novo Nordisk Foundation Center for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - J L Baker
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark.,Novo Nordisk Foundation Center for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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9
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Dhurandhar NV, Schoeller D, Brown AW, Heymsfield SB, Thomas D, Sørensen TIA, Speakman JR, Jeansonne M, Allison DB. Energy balance measurement: when something is not better than nothing. Int J Obes (Lond) 2015; 39:1109-13. [PMID: 25394308 PMCID: PMC4430460 DOI: 10.1038/ijo.2014.199] [Citation(s) in RCA: 371] [Impact Index Per Article: 41.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2014] [Accepted: 10/03/2014] [Indexed: 12/24/2022]
Abstract
Energy intake (EI) and physical activity energy expenditure (PAEE) are key modifiable determinants of energy balance, traditionally assessed by self-report despite its repeated demonstration of considerable inaccuracies. We argue here that it is time to move from the common view that self-reports of EI and PAEE are imperfect, but nevertheless deserving of use, to a view commensurate with the evidence that self-reports of EI and PAEE are so poor that they are wholly unacceptable for scientific research on EI and PAEE. While new strategies for objectively determining energy balance are in their infancy, it is unacceptable to use decidedly inaccurate instruments, which may misguide health-care policies, future research and clinical judgment. The scientific and medical communities should discontinue reliance on self-reported EI and PAEE. Researchers and sponsors should develop objective measures of energy balance.
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Affiliation(s)
- N V Dhurandhar
- Infection and Obesity Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - D Schoeller
- Department of Nutritional Sciences, University of Wisconsin-Madison, Madison, WI, USA
| | - A W Brown
- Nutrition Obesity Research Center & Office of Energetics, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - S B Heymsfield
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - D Thomas
- Department of Mathematical Sciences, Montclair State University, Montclair, NJ, USA
| | - T I A Sørensen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark and Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals-Part of Copenhagen University Hospital, The Capital Region, Denmark
| | - J R Speakman
- Institute of Biological and Environmental Sciences, University of Aberdeen, United Kingdom and Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - M Jeansonne
- Nutrition Obesity Research Center, The University of Alabama at Birmingham, Birmingham, AL USA
| | - D B Allison
- Nutrition Obesity Research Center, The University of Alabama at Birmingham, Birmingham, AL USA
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10
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Dhurandhar NV, Schoeller DA, Brown AW, Heymsfield SB, Thomas D, Sørensen TIA, Speakman JR, Jeansonne M, Allison DB. Response to 'Energy balance measurement: when something is not better than nothing'. Int J Obes (Lond) 2015; 39:1175-6. [PMID: 25924713 DOI: 10.1038/ijo.2015.81] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- N V Dhurandhar
- Department of Nutritional Sciences, Texas Tech University, Lubbock, TX, USA
| | - D A Schoeller
- Department of Nutritional Sciences, University of Wisconsin-Madison, Madison, WI, USA
| | - A W Brown
- Nutrition Obesity Research Center & Office of Energetics, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - S B Heymsfield
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - D Thomas
- Department of Mathematical Sciences, Montclair State University, Montclair, NJ, USA
| | - T I A Sørensen
- 1] The Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark [2] Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals-Part of Copenhagen University Hospital, The Capital Region, Copenhagen, Denmark
| | - J R Speakman
- 1] Institute of Biological and Environmental Sciences, University of Aberdeen, Scotland, UK [2] State key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - M Jeansonne
- Nutrition Obesity Research Center, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - D B Allison
- Nutrition Obesity Research Center, The University of Alabama at Birmingham, Birmingham, AL, USA
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11
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Zimmermann E, Ängquist LH, Mirza SS, Zhao JH, Chasman DI, Fischer K, Qi Q, Smith AV, Thinggaard M, Jarczok MN, Nalls MA, Trompet S, Timpson NJ, Schmidt B, Jackson AU, Lyytikäinen LP, Verweij N, Mueller-Nurasyid M, Vikström M, Marques-Vidal P, Wong A, Meidtner K, Middelberg RP, Strawbridge RJ, Christiansen L, Kyvik KO, Hamsten A, Jääskeläinen T, Tjønneland A, Eriksson JG, Whitfield JB, Boeing H, Hardy R, Vollenweider P, Leander K, Peters A, van der Harst P, Kumari M, Lehtimäki T, Meirhaeghe A, Tuomilehto J, Jöckel KH, Ben-Shlomo Y, Sattar N, Baumeister SE, Smith GD, Casas JP, Houston DK, März W, Christensen K, Gudnason V, Hu FB, Metspalu A, Ridker PM, Wareham NJ, Loos RJF, Tiemeier H, Sonestedt E, Sørensen TIA. Is the adiposity-associated FTO gene variant related to all-cause mortality independent of adiposity? Meta-analysis of data from 169,551 Caucasian adults. Obes Rev 2015; 16:327-340. [PMID: 25752329 PMCID: PMC4564522 DOI: 10.1111/obr.12263] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [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: 12/03/2014] [Accepted: 12/12/2014] [Indexed: 11/28/2022]
Abstract
Previously, a single nucleotide polymorphism (SNP), rs9939609, in the FTO gene showed a much stronger association with all-cause mortality than expected from its association with body mass index (BMI), body fat mass index (FMI) and waist circumference (WC). This finding implies that the SNP has strong pleiotropic effects on adiposity and adiposity-independent pathological pathways that leads to increased mortality. To investigate this further, we conducted a meta-analysis of similar data from 34 longitudinal studies including 169,551 adult Caucasians among whom 27,100 died during follow-up. Linear regression showed that the minor allele of the FTO SNP was associated with greater BMI (n = 169,551; 0.32 kg m(-2) ; 95% CI 0.28-0.32, P < 1 × 10(-32) ), WC (n = 152,631; 0.76 cm; 0.68-0.84, P < 1 × 10(-32) ) and FMI (n = 48,192; 0.17 kg m(-2) ; 0.13-0.22, P = 1.0 × 10(-13) ). Cox proportional hazard regression analyses for mortality showed that the hazards ratio (HR) for the minor allele of the FTO SNPs was 1.02 (1.00-1.04, P = 0.097), but the apparent excess risk was eliminated after adjustment for BMI and WC (HR: 1.00; 0.98-1.03, P = 0.662) and for FMI (HR: 1.00; 0.96-1.04, P = 0.932). In conclusion, this study does not support that the FTO SNP is associated with all-cause mortality independently of the adiposity phenotypes.
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Affiliation(s)
- E Zimmermann
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, The Capital Region, Copenhagen, Denmark
| | - L H Ängquist
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, The Capital Region, Copenhagen, Denmark
| | - S S Mirza
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - J H Zhao
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - D I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - K Fischer
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Q Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, New York, USA
| | - A V Smith
- Icelandic Heart Association, Kopavogur, Iceland.,University of Icelandic, Reykajvik, Iceland
| | - M Thinggaard
- The Danish Aging Research Center and The Danish Twin Registry, Epidemiology, Biostatistics and Biodemography, Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - M N Jarczok
- Mannheim Institute of Public Health, Social and Preventive Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - M A Nalls
- Laboratory of Neurogenetics, Intramural Research Program, National Institute on Aging, Bethesda, Maryland, USA
| | - S Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - N J Timpson
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
| | - B Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany
| | - A U Jackson
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | - L P Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland.,School of Medicine, University of Tampere, Tampere, Finland
| | - N Verweij
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - M Mueller-Nurasyid
- Department of Medicine I, Ludwig-Maximilians-University, Munich, Germany.,Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany.,Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,Deutsches Forschungszentrum für Herz-Kreislauferkrankungen (DZHK), Partner site Munich Heart Alliance, Munich, Germany
| | - M Vikström
- Karolinska Institutet, Institute of Environmental Medicine, Unit of Cardiovascular Epidemiology, Stockholm, Sweden
| | - P Marques-Vidal
- Department of Internal Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - A Wong
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - K Meidtner
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.,Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - R P Middelberg
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - R J Strawbridge
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - L Christiansen
- The Danish Aging Research Center and The Danish Twin Registry, Epidemiology, Biostatistics and Biodemography, Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | | | - K O Kyvik
- Institute of Regional Health Services Research and Odense Patient data Explorative Network, Odense University Hospital, Odense, Denmark
| | - A Hamsten
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - T Jääskeläinen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - A Tjønneland
- Danish Cancer Society Research Centre, Copenhagen, Denmark
| | - J G Eriksson
- Diabetes Prevention Unit, Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland.,Department of General Practice and Primary Health Care, Institute of Clinical Medicine, University of Helsinki, Helsinki, Finland.,Folkhälsan Research Centre, Helsinki, Finland.,Unit of General Practice, Helsinki University Central Hospital, Helsinki, Finland
| | - J B Whitfield
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - H Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - R Hardy
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - P Vollenweider
- Department of Internal Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - K Leander
- Karolinska Institutet, Institute of Environmental Medicine, Unit of Cardiovascular Epidemiology, Stockholm, Sweden
| | - A Peters
- Deutsches Forschungszentrum für Herz-Kreislauferkrankungen (DZHK), Partner site Munich Heart Alliance, Munich, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - P van der Harst
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.,Department of Genetic, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.,Durrer Center for Cardiogenetic Research, ICIN-Neterlands Heart Institute, Utrecht, The Netherlands
| | - M Kumari
- Department of Epidemiology and Public Health, University College London, London, UK.,ISER, University of Essex, Colchester, UK
| | - T Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland.,School of Medicine, University of Tampere, Tampere, Finland
| | - A Meirhaeghe
- Inserm, U744, Institut Pasteur de Lille, University Lille Nord de France, Lille, France
| | - J Tuomilehto
- Diabetes Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland.,Centre for Vascular Prevention, Danube-University Krems, Krems, Austria.,Instituto de Investigacion Sanitaria del Hospital Universario LaPaz (IdiPAZ), Madrid, Spain.,Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - K-H Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany
| | - Y Ben-Shlomo
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - N Sattar
- BHF Glasgow Cardiovascular Research Centre, Faculty of Medicine, Glasgow, UK
| | - S E Baumeister
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - G Davey Smith
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
| | - J P Casas
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.,Institute of Cardiovascular Science, University College London, London, UK
| | - D K Houston
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston Salem, North Carolina, USA
| | - W März
- Vth Department of Medicine (Nephrology, Hypertensiology, Endocrinology, Diabetology, Rheumatology), Medical Faculty of Mannheim, University of Heidelberg, Mannheim, Germany.,Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria.,Synlab Academy, Synlab Services GmbH, Mannheim, Germany
| | - K Christensen
- The Danish Aging Research Center and The Danish Twin Registry, Epidemiology, Biostatistics and Biodemography, Institute of Public Health, University of Southern Denmark, Odense, Denmark.,Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.,Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland.,University of Icelandic, Reykajvik, Iceland
| | - F B Hu
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, USA.,Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
| | - A Metspalu
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - P M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - N J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - R J F Loos
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.,The Charles Bronfman Institute for Personalized Medicine, The Mindich Child Health and Development Institute, The Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - H Tiemeier
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands.,Department of Child and Adolescent Psychiatry, Erasmus Medical Centre, Rotterdam, The Netherlands.,Department of Psychiatry, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - E Sonestedt
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - T I A Sørensen
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, The Capital Region, Copenhagen, Denmark.,MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK.,Novo Nordisk Foundation Centre for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark
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12
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Berglind D, Willmer M, Näslund E, Tynelius P, Sørensen TIA, Rasmussen F. Differences in gestational weight gain between pregnancies before and after maternal bariatric surgery correlate with differences in birth weight but not with scores on the body mass index in early childhood. Pediatr Obes 2014; 9:427-34. [PMID: 24339139 DOI: 10.1111/j.2047-6310.2013.00205.x] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [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: 04/26/2013] [Accepted: 09/23/2013] [Indexed: 12/31/2022]
Abstract
BACKGROUND Large maternal gestational weight gain (GWG) is associated with increased birth weight and increased risk of obesity in offspring, but these associations may be confounded by genetic and environmental factors. The aim was to investigate the effects of differences in GWG in all three trimesters on differences in birth weight and in body mass index (BMI) scores at 4 and 6 years of age, within siblings born before and after bariatric surgery. METHOD Women with at least one child born before and one after bariatric surgery were identified in national Swedish registers. Series of weight (and height) measurements were collected from antenatal medical records, with data on the nearest pregnancies before and after bariatric surgery. RESULTS The age-adjusted means of pre- and post-operative GWG of 124 women were 11.3 (standard deviation [SD] 7.2) and 8.3 (SD 6.4) kg, respectively (P = 0.01). Adjusted fixed effects regression models showed positive associations of differences in mean total GWG with differences in siblings' birth weight, 0.023 kg per 1-kg greater weight gain (95% confidence interval [CI]: 0.014-0.069) and for second trimester 0.53 kg for each 1-kg greater weight per week (95% CI: 0.32-1.61), whereas no associations were found with BMI in pre-school age. CONCLUSION This study showed positive associations between differences in total and second trimester maternal GWG and differences in children's birth weight, but no association with BMI scores in pre-school age. Maternal genetic, social and lifestyle factors fixed from one pregnancy to the next were taken into account in the analyses by the study design.
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Affiliation(s)
- D Berglind
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
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13
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Müller MJ, Baracos V, Bosy-Westphal A, Dulloo AG, Eckel J, Fearon KCH, Hall KD, Pietrobelli A, Sørensen TIA, Speakman J, Trayhurn P, Visser M, Heymsfield SB. Functional body composition and related aspects in research on obesity and cachexia: report on the 12th Stock Conference held on 6 and 7 September 2013 in Hamburg, Germany. Obes Rev 2014; 15:640-56. [PMID: 24835453 PMCID: PMC4107095 DOI: 10.1111/obr.12187] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2014] [Accepted: 04/04/2014] [Indexed: 12/24/2022]
Abstract
The 12th Stock Conference addressed body composition and related functions in two extreme situations, obesity and cancer cachexia. The concept of 'functional body composition' integrates body components into regulatory systems relating the mass of organs and tissues to corresponding in vivo functions and metabolic processes. This concept adds to an understanding of organ/tissue mass and function in the context of metabolic adaptations to weight change and disease. During weight gain and loss, there are associated changes in individual body components while the relationships between organ and tissue mass are fixed. Thus an understanding of body weight regulation involves an examination of the relationships between organs and tissues rather than individual organ and tissue masses only. The between organ/tissue mass relationships are associated with and explained by crosstalks between organs and tissues mediated by cytokines, hormones and metabolites that are coupled with changes in body weight, composition and function as observed in obesity and cancer cachexia. In addition to established roles in intermediary metabolism, cell function and inflammation, organ-tissue crosstalk mediators are determinants of body composition and its change with weight gain and loss. The 12th Stock Conference supported Michael Stocks' concept of gaining new insights by integrating research ideas from obesity and cancer cachexia. The conference presentations provide an in-depth understanding of body composition and metabolism.
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Affiliation(s)
- M J Müller
- Institute of Human Nutrition and Food Sciences, Christian-Albrechts-University, Kiel, Germany
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14
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Schmidt Morgen C, Andersen AMN, Due P, Neelon SB, Gamborg M, Sørensen TIA. Timing of motor milestones achievement and development of overweight in childhood: a study within the Danish National Birth Cohort. Pediatr Obes 2014; 9:239-48. [PMID: 23733355 DOI: 10.1111/j.2047-6310.2013.00177.x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [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: 06/25/2012] [Revised: 03/05/2013] [Accepted: 04/15/2013] [Indexed: 01/01/2023]
Abstract
BACKGROUND Overweight may hinder achievement of gross motor milestones and delayed achievement of milestones may increase the risk of later overweight for reasons involving physical activity and the building of lean body mass. OBJECTIVE To investigate whether increased birth weight and body mass index (BMI) at 5 months is associated with the achievement of the ability to sit up and walk and whether delayed achievement of these milestones is associated with overweight at age 7 years. METHODS We used data from the Danish National Birth Cohort on 25,148 children born between 1998 and 2003. Follow-up took place from 2003 to 2010. Mean age at follow-up was 7.04 years. We used logistic and linear regression analyses. RESULTS Birth weight and BMI at 5 months were marginally associated with earlier achievement of the ability to sit up and walk (regression coefficients between -0.027 months; [CI -0.042; -0.013] and -0.092 months [CI -0.118; -0.066]). Age in months of sitting and walking were not associated with overweight at age 7 years (ORs between 0.97 [CI 0.95-1.00] and 1.00 [CI 0.96-1.04]). Later achievement of sitting and walking predicted lower BMI at age 7 years (ln-BMI -z-scores between -0.023 [CI -0.029; -0.017] and -0.005 [CI -0.015; 0.005)). CONCLUSIONS All observed associations were of negligible magnitude and we conclude that birth weight or BMI at age 5 months and motor milestones appear largely independent of each other and that timing of achievement of motor milestones seems not to be associated with later overweight or increased BMI.
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Affiliation(s)
- C Schmidt Morgen
- Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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15
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Bjerregaard LG, Rasmussen KM, Michaelsen KF, Skytthe A, Mortensen EL, Baker JL, Sørensen TIA. Effects of body size and change in body size from infancy through childhood on body mass index in adulthood. Int J Obes (Lond) 2014; 38:1305-11. [PMID: 24942870 DOI: 10.1038/ijo.2014.108] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2014] [Revised: 05/19/2014] [Accepted: 06/10/2014] [Indexed: 11/09/2022]
Abstract
BACKGROUND Weight and weight gain throughout infancy are related to later obesity, but whether the strength of the associations varies during the infancy period is uncertain. AIMS Our aims were to identify the period of infancy when change in body weight has the strongest association with adult body mass index (BMI) and also the extent to which these associations during infancy are mediated through childhood BMI. METHODS The Copenhagen Perinatal Cohort, in which participants were followed from birth through 42 years of age, provided information on weight at 12 months and BMI at 42 years for 1633 individuals. Information on weight at birth, 2 weeks, 1, 2, 3, 4 and 6 months was retrieved from health visitors' records and information on BMI at ages 7 and 13 years from school health records. The associations of infant weight and weight gain standard deviation scores (SDS) with adult BMI-SDS were analyzed using multiple linear regression and path analysis. RESULTS Higher-weight-SDS at all ages from birth to an age 12 months were associated with higher-BMI-SDS at 42 years (regression coefficients 0.08-0.12). Infant weight gain-SDS was associated with greater BMI-SDS at 42 years only between birth and 3 months (0.09, 95% confidence intervals (CI) 0.04, 0.15) driven by an association between 2 and 3 months (0.12, 95% CI: 0.04, 0.20). The latter was partly mediated through later BMI in the path analysis. Infant weight gain-SDS between 3 and 12 months was not associated with greater BMI-SDS at 42 years. CONCLUSIONS Faster weight gain during only the first 3 months of infancy was associated with increased adult BMI, although not in a consistent monthly pattern. Adult BMI is more sensitive to high weight gain during early infancy than late infancy, but not specifically to the first month of life.
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Affiliation(s)
- L G Bjerregaard
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - K M Rasmussen
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA
| | - K F Michaelsen
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - A Skytthe
- Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - E L Mortensen
- 1] Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark [2] Institute of Public Health and Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - J L Baker
- 1] Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark [2] Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - T I A Sørensen
- 1] Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark [2] Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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16
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Aarestrup J, Gamborg M, Cook MB, Sørensen TIA, Baker JL. Childhood body mass index and the risk of prostate cancer in adult men. Br J Cancer 2014; 111:207-12. [PMID: 24867696 PMCID: PMC4090733 DOI: 10.1038/bjc.2014.266] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2014] [Revised: 04/09/2014] [Accepted: 04/24/2014] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Prostate cancer aetiology is poorly understood. It may have origins early in life; previously we found a positive association with childhood height. The effects of early life body mass index (BMI; kg m(-2)) on prostate cancer remain equivocal. We investigated if childhood BMI, independently and adjusted for height, is positively associated with adult prostate cancer. METHODS Subjects were a cohort of 125208 boys formed from the Copenhagen School Health Records Register, born 1930-1969 with height and weight measurements at 7-13 years. Cases were identified through linkage to the Danish Cancer Registry. Cox proportional hazards regressions were performed. RESULTS Overall, 3355 men were diagnosed with prostate cancer. Body mass index during childhood was positively associated with adult prostate cancer. The hazard ratio of prostate cancer was 1.06 (95% confidence interval (CI): 1.01-1.10) per BMI z-score at age 7, and 1.05 (95% CI: 1.01-1.10) per BMI z-score at age 13. Estimates were similar and significant at all other ages. However, adjustment for childhood height attenuated the associations at all but the youngest ages as most estimates became nonsignificant. CONCLUSIONS These results suggest that at most childhood ages, BMI does not confer an additional risk for prostate cancer beyond that of height.
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Affiliation(s)
- J Aarestrup
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, The Capital Region, Nordre Fasanvej 5, Frederiksberg, 2000 Copenhagen, Denmark
| | - M Gamborg
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, The Capital Region, Nordre Fasanvej 5, Frederiksberg, 2000 Copenhagen, Denmark
| | - M B Cook
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Room 7-E106, MSC 9774, Bethesda, MD 20892-9774, USA
| | - T I A Sørensen
- 1] Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, The Capital Region, Nordre Fasanvej 5, Frederiksberg, 2000 Copenhagen, Denmark [2] Novo Nordisk Foundation Center for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen 1, 1. Floor, 2100 Copenhagen, Denmark
| | - J L Baker
- 1] Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, The Capital Region, Nordre Fasanvej 5, Frederiksberg, 2000 Copenhagen, Denmark [2] Novo Nordisk Foundation Center for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen 1, 1. Floor, 2100 Copenhagen, Denmark
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17
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Dhurandhar NV, Geurts L, Atkinson RL, Casteilla L, Clement K, Gerard P, Vijay-Kumar M, Nam JH, Nieuwdorp M, Trovato G, Sørensen TIA, Vidal-Puig A, Cani PD. Harnessing the beneficial properties of adipogenic microbes for improving human health. Obes Rev 2013; 14:721-35. [PMID: 23663746 DOI: 10.1111/obr.12045] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2013] [Revised: 04/15/2013] [Accepted: 04/16/2013] [Indexed: 12/15/2022]
Abstract
Obesity is associated with numerous metabolic comorbidities. Weight loss is an effective measure for alleviating many of these metabolic abnormalities. However, considering the limited success of most medical weight-management approaches in producing a sustained weight loss, approaches that improve obesity-related metabolic abnormalities independent of weight loss would be extremely attractive and of practical benefit. Metabolically healthy obesity supports the notion that a better metabolic profile is possible despite obesity. Moreover, adequate expansion of adipose tissue appears to confer protection from obesity-induced metabolic comorbidities. To this end, the 10th Stock conference examined new approaches to improve metabolic comorbidities independent of weight loss. In particular, human adenovirus 36 (Ad36) and specific gut microbes were examined for their potential to influence lipid and glucose homeostasis in animals and humans. While these microbes possess some undesirable properties, research has identified attributes of adenovirus Ad36 and gut microbes that may be selectively harnessed to improve metabolic profile without the obligatory weight loss. Furthermore, identifying the host signalling pathways that these microbes recruit to improve the metabolic profile may offer new templates and targets, which may facilitate the development of novel treatment strategies for obesity-related metabolic conditions.
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Affiliation(s)
- N V Dhurandhar
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
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18
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Østergaard JN, Grønbaek M, Angquist L, Schnohr P, Sørensen TIA, Heitmann BL. Combined influence of leisure-time physical activity and hip circumference on all-cause mortality. Obesity (Silver Spring) 2013; 21:E78-85. [PMID: 23404691 DOI: 10.1002/oby.20062] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [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: 11/03/2011] [Accepted: 07/30/2012] [Indexed: 11/11/2022]
Abstract
UNLABELLED Hip circumference has been shown to be inversely associated with mortality. Muscle atrophy in the gluteofemoral region may be a possible explanation and thus physical activity is likely to play an important role. OBJECTIVE To estimate the combined effects of hip circumference and physical activity on mortality. DESIGN AND METHODS From the Copenhagen City Heart Study, 3,358 men and 4,350 women aged 21 to 93 years without pre-existing diagnosis of diabetes, stroke, ischemic heart disease, or cancer in 1991-1994 and with complete information on the variables of interest were included in the analyses. The participants were followed to 2009 in the Danish Civil Registration System, with 1.3% loss to follow-up and 2,513 deaths. Hazard ratios (HR) were estimated for combinations of physical activity and hip circumference. RESULTS Hip circumference was inversely associated with mortality irrespective of being physically active or not. However, being physically active seemed to counterbalance some of the adverse health effects of a small hip circumference; when comparing inactive to active, the excess mortality at the 25th percentile of hip circumference is 40% in men (HR = 1.40, 95% CI: 1.14-1.72) and 33% in women (HR = 1.33, CI: 1.10-1.62). These associations were observed after adjustment for waist circumference and weight change in the 6 months before the examination. CONCLUSION Less effects of physical activity were found in individuals with greater hip circumferences. A small hip circumference appears hazardous to survival. However, being physically active may counterbalance some of the hazardous effects of a small hip circumference.
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Affiliation(s)
- J N Østergaard
- Department of Cardiology, Center for Cardiovascular Research, Aalborg Hospital, Aarhus University Hospital, Aalborg, Denmark.
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19
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Heitmann BL, Westerterp KR, Loos RJF, Sørensen TIA, O'Dea K, McLean P, Jensen TK, Eisenmann J, Speakman JR, Simpson SJ, Reed DR, Westerterp-Plantenga MS. Obesity: lessons from evolution and the environment. Obes Rev 2012; 13:910-22. [PMID: 22642554 DOI: 10.1111/j.1467-789x.2012.01007.x] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The 9th Stock Conference acknowledged the complex background of genetic, cultural, environmental and evolutionary factors of obesity. Gene-environment interactions underlie the flexibility in body-weight and body-fat regulation, illustrated by the hunter-gatherers' feast and famine lifestyle, the variation in physical activity over the lifespan being highest at reproductive age, the variation in energy intake through 'eating in the absence of hunger', while running the risk of exceeding the capacity of triacylglyceride storage, leading to lipotoxicity and metabolic problems. Perinatal metabolic programming for obesity via epigenetic changes in response to a 'Western diet' results in production of lipid-poor milk and metabolically efficient pups, contributing to the perpetuation of obesity throughout generations. Evolutionary insight from comparative physiology and ecology indicates that over generations activity-induced energy expenditure has remained the same compared to wild mammals, that energy balance might be dependant on protein balance, while the function of taste changed from detection of poison or energy to social drinking and social behaviour. At present, the impact of assortative mating on obesity prevalence is unambiguously positive. The complexity that appeared can only be fully appreciated by setting the data into the context of our evolutionary history.
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Affiliation(s)
- B L Heitmann
- Institute of Preventive Medicine, Centre for Health and Society, Copenhagen University Hospitals, Copenhagen, Denmark
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20
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Rokholm B, Silventoinen K, Tynelius P, Sørensen TIA, Rasmussen F. Modifiable environmental influences on body mass index shared by young adult brothers. Int J Obes (Lond) 2012; 37:211-5. [PMID: 22945609 DOI: 10.1038/ijo.2012.151] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVES Twin and adoption studies suggest that family environment has little, if any, influence on body mass index (BMI) in adulthood. We investigated the hypothesis that the differences in the years of birth between siblings influence their similarity in BMI at comparable ages, which would give evidence for a possibly modifiable influence of the environment shared by family members. METHODS Swedish full-brother pairs (N=261 712) born between 1951 and 1983 were measured for BMI in conscription examination at 16-26 years (median: 18.2 years) of age and were divided into quartiles by the difference between their birth-years (< 2.25 years, 2.25-3.33 years, 3.34-5.08 years and >5.08 years). Furthermore, 1961 dizygotic twin brother pairs from the same population representing brothers born at the same time were included. In addition, the log BMI of the younger brother was modeled as a linear function of the log BMI of the older brother. Subsequently, the significance of the interaction between birth-year difference and the BMI of the older brother was tested. RESULTS Intraclass correlation for BMI in dizygotic twin pairs was higher (0.431, 95% confidence interval (CI) 0.394-0.466) than the correlation for full-brothers in the first quartile of birth-year difference (0.376, CI 0.342-0.408). Among full-brothers, the BMI correlation decreased from 0.376 (CI 0.342-0.408) [corrected] in the first quartile to 0.338 (CI 0.331-0.345) in the last quartile. The regression analysis showed a statistically significant decrease in correlation with increasing birth-year difference (P<0.001). CONCLUSION The influence on BMI in young men of the environment shared by dizygotic twin brothers is greater than between non-twin full-brothers, indicating important influences of concomitant exposure to the same early life environment before and/or after birth. Among non-twin siblings there is a slight possibly modifiable influence as evidenced by declining correlations by increasing distance in years of birth.
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Affiliation(s)
- B Rokholm
- Institute of Preventive Medicine, Copenhagen University Hospital, Copenhagen, Denmark.
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21
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Andersen LG, Holst C, Michaelsen KF, Baker JL, Sørensen TIA. Weight and weight gain during early infancy predict childhood obesity: a case-cohort study. Int J Obes (Lond) 2012; 36:1306-11. [PMID: 22907690 DOI: 10.1038/ijo.2012.134] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Infant weight and weight gain are positively associated with later obesity, but whether there is a particular critical time during infancy remains uncertain. OBJECTIVE The aim was to investigate when and how weight and weight gain during infancy become associated with childhood obesity. METHODS In a cohort representing 28 340 children born from 1959-67 and measured in Copenhagen schools, 962 obese children (2007 World Health Organization criteria), were compared with a 5% randomly selected sub-cohort of 1417 children. Information on weight at birth, 2 weeks, 1, 2, 3, 4, 6 and 9 months was retrieved from health visitors' records. Odds ratios and 95% confidence intervals (CI) for childhood obesity by tertiles of weight at each age and by change in tertiles of weight between two consecutive measurements were estimated using multivariate logistic regression with adjustment for indicators of socioeconomic status, preterm birth, and breastfeeding. RESULTS Compared with children in the middle weight-tertile, children with a weight in the upper tertile had a 1.36-fold (CI, 1.10-1.69) to 1.72-fold (CI, 1.36-2.18) higher risk of childhood obesity from birth through 9 months, whereas children in the lower weight-tertile had almost half the risk of obesity from 2 through 9 months. The risk of childhood obesity associated with change in weight-tertile in each interval was stable at ∼1.5-fold per weight-tertile increase throughout infancy. CONCLUSIONS Infant weight and weight gain are associated with obesity in childhood already during the first months of life. Determinants of weight gain shortly after birth may be a suitable target for prevention of obesity.
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Affiliation(s)
- L G Andersen
- Institute of Preventive Medicine, Copenhagen University Hospital, Copenhagen, Denmark.
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22
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Hansen CP, Berentzen TL, Halkjær J, Tjønneland A, Sørensen TIA, Overvad K, Jakobsen MU. Intake of ruminant trans fatty acids and changes in body weight and waist circumference. Eur J Clin Nutr 2012; 66:1104-9. [PMID: 22805493 DOI: 10.1038/ejcn.2012.87] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
BACKGROUND/OBJECTIVES Follow-up studies have suggested that total intake of trans fatty acids (TFA) is a risk factor for gain in body weight and waist circumference (WC). However, in a cross-sectional study individual TFA isomers in adipose tissue had divergent associations with anthropometry. Our objective was to investigate the association between intake of TFA from ruminant dairy and meat products and subsequent changes in weight and WC. Furthermore, potential effect modification by sex, age, body mass index and WC at baseline was investigated. SUBJECTS/METHODS Data on weight, WC, habitual diet and lifestyle were collected at baseline in a Danish cohort of 30,851 men and women aged 50-64 years. Follow-up information on weight and WC was collected 5 years after enrolment. The associations between intake of ruminant TFA (R-TFA) and changes in weight and WC were analysed using multiple linear regression with cubic spline modelling. RESULTS Intake of R-TFA, both absolute and energy-adjusted intake, was significantly associated with weight change. Inverse associations were observed at lower intakes with a levelling-off at intakes >1.2 g/day and 0.4 energy percentage (E %). Absolute, but not energy-adjusted, intake of R-TFA was significantly associated with WC change. An inverse association was observed at lower intakes with a plateau above an intake of 1.2 g/day. CONCLUSIONS The present study suggests that intake of R-TFA is weakly inversely associated with changes in weight, whereas no substantial association with changes in WC was found.
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Affiliation(s)
- C P Hansen
- Section for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark.
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Stegger JG, Schmidt EB, Obel T, Berentzen TL, Tjønneland A, Sørensen TIA, Overvad K. Body composition and body fat distribution in relation to later risk of acute myocardial infarction: a Danish follow-up study. Int J Obes (Lond) 2011; 35:1433-41. [PMID: 21285940 DOI: 10.1038/ijo.2010.278] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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Abstract
Systematic literature search for epidemiological evidence for an association of short sleep with weight gain and eventual development of obesity provided 71 original studies and seven reviews of various subsets of these studies. We have summarized the evidence for such an association with particular emphasis on prospective studies. The studies showed that short sleep duration is consistently associated with development of obesity in children and young adults, but not consistently so in older adults. We have identified critical aspects of the evidence, and assessed the possibility for interpretation of the evidence in terms of causality. We have discussed the requirement of temporal sequence between putative exposure and outcome and the implications of the time lag between them, the problems in adequate measurements of exposure and effects, the possible bidirectional causal effects, the necessary distinction between confounders and mediators, the possible confounding by weight history, and the possibility of common or upstream underlying causes. In conclusion, causal interpretation of the association is hampered by fundamental conceptual and methodological problems. Experimental studies may elucidate mechanisms, but adequate coverage of the entire pathway from sleep curtailment through obesity development is not feasible. Randomized trials are needed to assess the value of targeted interventions.
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Affiliation(s)
- L S Nielsen
- Institute of Preventive Medicine, Copenhagen University Hospitals, Copenhagen, Denmark
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Abstract
The purpose was to investigate a possible levelling off in the obesity epidemic, by systematically reviewing literature and web-based sources. Eligible studies and data sources were required to have at least two measures of obesity prevalence since 1999. A literature and Internet search resulted in 52 studies from 25 different countries. The findings supported an overall levelling off of the epidemic in children and adolescents from Australia, Europe, Japan and the USA. In adults, stability was found in the USA, while increases were still observed in some European and Asian countries. Some evidence for heterogeneity in the obesity trends across socioeconomic status (SES) groups was found. The levelling off was less evident in the lower-SES groups. No obvious differences between genders were identified. We discussed potential explanations for a levelling off and the utility of investigating obesity trends to identify the driving forces behind the epidemic. It is important to emphasize that the levelling off is not tantamount to calling off the epidemic. Additionally, it is worthwhile to keep in mind that previous stable phases have been followed by further increases in the prevalence of obesity. Therefore, research into the causes, prevention and treatment of obesity should remain a priority.
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Affiliation(s)
- B Rokholm
- Institute of Preventive Medicine, Copenhagen University Hospital, Denmark.
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Kettunen J, Perola M, Martin NG, Cornes BK, Wilson SG, Montgomery GW, Benyamin B, Harris JR, Boomsma D, Willemsen G, Hottenga JJ, Slagboom PE, Christensen K, Kyvik KO, Sørensen TIA, Pedersen NL, Magnusson PKE, Andrew T, Spector TD, Widen E, Silventoinen K, Kaprio J, Palotie A, Peltonen L. Multicenter dizygotic twin cohort study confirms two linkage susceptibility loci for body mass index at 3q29 and 7q36 and identifies three further potential novel loci. Int J Obes (Lond) 2009; 33:1235-42. [PMID: 19721450 DOI: 10.1038/ijo.2009.168] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVE To identify common loci and potential genetic variants affecting body mass index (BMI, kg m(-2)) in study populations originating from Europe. DESIGN We combined genome-wide linkage scans of six cohorts from Australia, Denmark, Finland, the Netherlands, Sweden and the United Kingdom with an approximately 10-cM microsatellite marker map. Variance components linkage analysis was carried out with age, sex and country of origin as covariates. SUBJECTS The GenomEUtwin consortium consists of twin cohorts from eight countries (Australia, Denmark, the Netherlands, Finland, Italy, Norway, Sweden and the United Kingdom) with a total data collection of more than 500,000 monozygotic and dizygotic (DZ) twin pairs. Variance due to early-life events and the environment is reduced within twin pairs, which makes DZ pairs highly valuable for linkage studies of complex traits. This study totaled 4401 European-originated twin families (10,535 individuals) from six countries (Australia, Denmark, the Netherlands, Finland, Sweden and the United Kingdom). RESULTS We found suggestive evidence for a quantitative trait locus on 3q29 and 7q36 in the combined sample of DZ twins (multipoint logarithm of odds score (MLOD) 2.6 and 2.4, respectively). Two individual cohorts showed strong evidence independently for three additional loci: 16q23 (MLOD=3.7) and 2p24 (MLOD=3.4) in the Dutch cohort and 20q13 (MLOD=3.2) in the Finnish cohort. CONCLUSION Linkage analysis of the combined data in this large twin cohort study provided evidence for suggestive linkage to BMI. In addition, two cohorts independently provided significant evidence of linkage to three new loci. The results of our study suggest a smaller environmental variance between DZ twins than full siblings, with a corresponding increase in heritability for BMI as well as an increase in linkage signal in well-replicated regions. The results are consistent with the possibility of locus heterogeneity for some genomic regions, and indicate a lack of major common quantitative trait locus variants affecting BMI in European populations.
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Affiliation(s)
- J Kettunen
- Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
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Due P, Damsgaard MT, Rasmussen M, Holstein BE, Wardle J, Merlo J, Currie C, Ahluwalia N, Sørensen TIA, Lynch J, Borraccino A, Borup I, Boyce W, Elgar F, Gabhainn SN, Krølner R, Svastisalee C, Matos MC, Nansel T, Al Sabbah H, Vereecken C, Valimaa R. Socioeconomic position, macroeconomic environment and overweight among adolescents in 35 countries. Int J Obes (Lond) 2009; 33:1084-93. [PMID: 19621018 DOI: 10.1038/ijo.2009.128] [Citation(s) in RCA: 94] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
OBJECTIVE It is important to understand levels and social inequalities in childhood overweight within and between countries. This study examined prevalence and social inequality in adolescent overweight in 35 countries, and associations with macroeconomic factors. DESIGN International cross-sectional survey in national samples of schools. SUBJECTS A total of 11-, 13- and 15-year-olds from 35 countries in Europe and North America in 2001-2002 (N=162 305). MEASUREMENTS The main outcome measure was overweight based on self-reported height and weight (body mass index cut-points corresponding to body mass index of 25 kg/m(2) at the age of 18 years). Measures included family and school affluence (within countries), and average country income and economic inequality (between countries). RESULTS There were large variations in adolescent overweight, from 3.5% in Lithuanian girls to 31.7% in boys from Malta. Prevalence of overweight was higher among children from less affluent families in 21 of 24 Western and 5 of 10 Central European countries. However, children from more affluent families were at higher risk of overweight in Croatia, Estonia and Latvia. In Poland, Lithuania, Macedonia and Finland, girls from less affluent families were more overweight whereas the opposite was found for boys. Average country income was associated with prevalence and inequality in overweight when considering all countries together. However, economic inequality as measured by the Gini coefficient was differentially associated with prevalence and socioeconomic inequality in overweight among the 23-high income and 10-middle income countries, with a positive relationship among the high income countries and a negative association among the middle income countries. CONCLUSION The direction and magnitude of social inequality in adolescent overweight shows large international variation, with negative social gradients in most countries, but positive social gradients, especially for boys, in some Central European countries. Macroeconomic factors are associated with the heterogeneity in prevalence and social inequality of adolescent overweight.
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Affiliation(s)
- P Due
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark.
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Jess T, Zimmermann E, Kring SII, Berentzen T, Holst C, Toubro S, Astrup A, Hansen T, Pedersen O, Sørensen TIA. Impact on weight dynamics and general growth of the common FTO rs9939609: a longitudinal Danish cohort study. Int J Obes (Lond) 2008; 32:1388-94. [PMID: 18663371 DOI: 10.1038/ijo.2008.110] [Citation(s) in RCA: 56] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVE AND DESIGN We investigated the impact of the fatness-related FTO rs9939609 A-allele on cross-sectional and longitudinal measures of body mass index (BMI), height and lean body mass (LBM) in a unique cohort representing a broad range of BMI. SUBJECTS AND MEASUREMENTS A random sample of all men attending the Danish draft boards during 1943-1977 plus all men with a BMI>or=31.0 kg/m(2) (assuring representation of the right end of the distribution) was taken. Anthropometric measures were available at up to eight points in time from birth to adulthood in 1629 genotyped men. The odds ratio (OR) for being a carrier of FTO rs9939609 according to (1) one unit alteration in z-scores for BMI, height and LBM at given ages and (2) longitudinal changes in BMI and height z-scores were assessed by logistic regression. RESULTS Except at birth, the AA genotype was associated with increased BMI z-scores at all point during the monitored lifespan, starting at the age of 7 years. This effect remained stable until early adulthood, where further weight gain occurred. The AA genotype was also--mainly through the effect on fatness--associated with accelerated linear growth in childhood (age 7 years; OR, 1.36; 95% confidence interval (CI), 1.06-1.74) and increased LBM in adulthood (OR, 1.24; 95% CI, 1.14-1.35). CONCLUSION Fatness induced by FTO rs9939609 in early childhood is sustained until early adulthood, where further weight gain may occur. FTO rs9939609 may, however, also be associated with linear growth and LBM mainly through the effect on fat mass.
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Affiliation(s)
- T Jess
- Institute of Preventive Medicine, Copenhagen University Hospitals, Centre for Health and Society, Copenhagen, Denmark.
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Berentzen T, Kring SII, Holst C, Zimmermann E, Jess T, Hansen T, Pedersen O, Toubro S, Astrup A, Sørensen TIA. Lack of association of fatness-related FTO gene variants with energy expenditure or physical activity. J Clin Endocrinol Metab 2008; 93:2904-8. [PMID: 18445669 DOI: 10.1210/jc.2008-0007] [Citation(s) in RCA: 85] [Impact Index Per Article: 5.3] [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: 12/31/2022]
Abstract
CONTEXT A common variant in the first intron of FTO (rs9939609, T/A) is associated with fatness in Caucasians. OBJECTIVE FTO may regulate energy homeostasis through the hypothalamus, and we hypothesized that AA-genotypes of rs9939609 FTO have lower energy expenditure and/or a lower level of physical activity. METHODS The study population included all obese young men (body mass index > or = 31 kg/m(2)) at the mandatory draft board examinations in the Copenhagen area from 1943 to 1977 and a randomly selected control group from this population. Subgroups of 234 obese and 323 controls were examined in 1998-2000 (median age 48 yr). Fat mass (FM), lean body mass (LBM), leisure-time physical activity (LTPA), maximum oxygen uptake (VO(2)max), resting energy expenditure (REE), and glucose-induced thermogenesis (GIT) were measured. The FTO rs9939609 variant was genotyped. A recessive transmission mode fit the data best. Logistic regression was used to assess the odds ratios of the AA-genotype in relation to LTPA, VO(2)max, REE, and GIT. RESULTS The AA-genotype of FTO rs9939609 had higher REE in the age-adjusted model, but the association was eliminated when adjusting for FM and LBM. The AA-genotype was not associated with LTPA, VO(2)max, or GIT. This was not influenced by adjustment for age, FM, or LBM. The AA-genotype had increased FM, even with adjustment for age, LBM, REE, GIT, VO(2)max, and LTPA. Results were similar for FTO rs8050136 and rs7193144. CONCLUSIONS Homozygous carriers of the A-allele of rs9939609 FTO do not have lower REE, GIT, VO(2)max, or LTPA but higher FM, irrespective of LBM, REE, GIT, VO(2)max, and LTPA.
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Affiliation(s)
- T Berentzen
- Institute of Preventive Medicine, Øster Søgade 18, Copenhagen K, Denmark.
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Ross R, Berentzen T, Bradshaw AJ, Janssen I, Kahn HS, Katzmarzyk PT, Kuk JL, Seidell JC, Snijder MB, Sørensen TIA, Després JP. Does the relationship between waist circumference, morbidity and mortality depend on measurement protocol for waist circumference? Obes Rev 2008; 9:312-25. [PMID: 17956544 DOI: 10.1111/j.1467-789x.2007.00411.x] [Citation(s) in RCA: 203] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
There is currently no consensus regarding the optimal protocol for measurement of waist circumference (WC), and no scientific rationale is provided for any of the WC protocols recommended by leading health authorities. A panel of experts conducted a systematic review of 120 studies (236 samples) to determine whether measurement protocol influenced the relationship of WC with morbidity of cardiovascular disease (CVD) and diabetes and with mortality from all causes and from CVD. Statistically significant associations with WC were reported for 65% (152) of the samples across all outcomes combined. Common WC protocols performed measurement at the minimal waist (33%), midpoint (26%) and umbilicus (27%). Non-significant associations were reported for 27% (64) of the samples. Most of these protocols measured WC at the midpoint (36%), umbilicus (28%) or minimal waist (25%). Significant associations were observed for 17 of the remaining 20 samples, but these were not significant when adjustment was made for covariates. For these samples, the most common WC protocols were the midpoint (35%) and umbilicus (30%). Similar patterns of association between the outcomes and all WC protocols were observed across sample size, sex, age, race and ethnicity. Our findings suggest that WC measurement protocol has no substantial influence on the association between WC, all-cause and CVD mortality, CVD and diabetes.
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Affiliation(s)
- R Ross
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada.
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Polak J, Kovacova Z, Holst C, Verdich C, Astrup A, Blaak E, Patel K, Oppert JM, Langin D, Martinez JA, Sørensen TIA, Stich V. Total adiponectin and adiponectin multimeric complexes in relation to weight loss-induced improvements in insulin sensitivity in obese women: the NUGENOB study. Eur J Endocrinol 2008; 158:533-41. [PMID: 18362301 DOI: 10.1530/eje-07-0512] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.4] [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: 12/15/2022]
Abstract
AIM Adiponectin increases insulin sensitivity, protects arterial walls against atherosclerosis, and regulates glucose metabolism, and is decreased in obese, insulin resistant, and type 2 diabetic patients. Adiponectin circulates in plasma as high, medium, and low molecular weight forms (HMW, MMW, and LMW). The HMW form was suggested to be closely associated with insulin sensitivity. This study investigated whether diet-induced changes in insulin sensitivity were associated with changes in adiponectin multimeric complexes. SUBJECTS Twenty obese women with highest and twenty obese women with lowest diet induced changes in insulin sensitivity (responders and non-responders respectively), matched for weight loss (body mass index (BMI)=34.5 (s.d. 2.9) resp. 36.5 kg/m(2) (s.d. 4.0) for responders and non-responders), were selected from 292 women who underwent a 10-week low-caloric diet (LCD; 600 kcal/d less than energy requirements). Plasma HMW, MMW, and LMW forms of adiponectin were quantified using Western blot method. RESULTS LCD induced comparable weight reduction in responders and non-responders by 8.2 and 7.6 kg. Homeostasis model assessment insulin resistance index decreased by 48.1% in responders and remained unchanged in non-responders. Total plasma adiponectin and the quantity of HMW and MMW remained unchanged in both groups, while LMW increased by 16.3% in non-responders. No differences between both groups were observed at baseline and after the study. Total plasma adiponectin, MMW, and LMW were negatively associated with fasting insulin levels at baseline. CONCLUSION No differences in total plasma adiponectin, HMW, MMW, and LMW forms were observed between responders and non-responders following 10-week LCD, suggesting that adiponectin is not a major determinant of weight loss-induced improvements in insulin sensitivity.
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Affiliation(s)
- J Polak
- Department of Sport Medicine, Third Faculty of Medicine, Charles University in Prague, 100 00 Prague, Czech Republic.
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Berentzen T, Petersen L, Schnohr P, Sørensen TIA. Physical activity in leisure-time is not associated with 10-year changes in waist circumference. Scand J Med Sci Sports 2008; 18:719-27. [DOI: 10.1111/j.1600-0838.2007.00761.x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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Silventoinen K, Pietiläinen KH, Tynelius P, Sørensen TIA, Kaprio J, Rasmussen F. Genetic and environmental factors in relative weight from birth to age 18: the Swedish young male twins study. Int J Obes (Lond) 2007; 31:615-21. [PMID: 17384662 DOI: 10.1038/sj.ijo.0803577] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.2] [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: 11/09/2022]
Abstract
OBJECTIVES To investigate the contributions of genetic and environmental factors to the development of relative weight during the growth period. DESIGN Longitudinal twin study. SUBJECTS Two-hundred and thirty-one monozygotic and 144 dizygotic complete male twin pairs born between 1973 and 1979 were measured annually from birth to 18 years of age. RESULTS Body mass index (BMI, kg/m(2)) at age 18 correlated with BMI at age 1 (r=0.32, 95% confidence intervals (CI) 0.21-0.42), and this correlation increased steadily up to age 17 (r=0.91, 95% CI 0.89-0.93). Major part (81-95%) of these trait correlations was attributable to correlate additive genetic factors, but also unique environmental correlations were present during the whole-growth period. The correlation between ponderal index (kg/m(3)) at birth and BMI at age 18 was small (r=0.09, 95% CI 0.02-0.15) and totally because of correlated unique environmental factors. CONCLUSIONS Our results suggest persistent genetic regulation of BMI from age 1 to 18. However, environmental factors, not shared by siblings, also affected the correlations of BMI. A small specific environmental correlation was found between ponderal index at birth and BMI at age 18, which may reflect the effect of neonatal environmental factors on adult BMI. A challenge to the future research is to identify chromosome regions and specific genes regulating the development of BMI as well as environmental factors affecting BMI through the growth period independently or interacting with genetic factors.
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Affiliation(s)
- K Silventoinen
- Department of Public Health, University of Helsinki, Helsinki, Finland
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Abstract
BACKGROUND Obesity is linked to asthma in a yet poorly understood manner. We examined the relationship between obesity and asthma in a population-based sample of twins. METHODS From the cohorts born between 1953 and 1982, who were enrolled in The Danish Twin Registry, a total of 29 183 twin individuals participated in a nationwide questionnaire study, where data on height, weight and asthma were collected. Latent factor models of genetic and environmental effects were fitted using maximum likelihood methods. RESULTS The age-adjusted risk of asthma was increased both in obese females, OR = 1.96 (1.45-2.64), P < or = 0.001 and in obese males, OR = 1.59 (1.08-2.33), P = 0.02. According to best-fitting models, the heritability for obesity was 81% in males and 92% in females, whereas the heritability for asthma was 78% and 68% in males and females respectively. The age-adjusted genetic liabilities to obesity and asthma were significantly correlated only in females, r = 0.28 (0.16-0.38). CONCLUSIONS Obese subjects have an increased risk for asthma, which in females seems partly because of common genes.
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Affiliation(s)
- S F Thomsen
- Department of Respiratory Medicine, Bispebjerg Hospital, Copenhagen, Denmark
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Benyamin B, Sørensen TIA, Schousboe K, Fenger M, Visscher PM, Kyvik KO. Are there common genetic and environmental factors behind the endophenotypes associated with the metabolic syndrome? Diabetologia 2007; 50:1880-1888. [PMID: 17624514 DOI: 10.1007/s00125-007-0758-1] [Citation(s) in RCA: 89] [Impact Index Per Article: 5.2] [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] [Received: 08/21/2006] [Accepted: 06/05/2007] [Indexed: 01/01/2023]
Abstract
AIMS/HYPOTHESIS The cluster of obesity, insulin resistance, dyslipidaemia and hypertension, called the metabolic syndrome, has been suggested as a risk factor for cardiovascular disease and type 2 diabetes. The aim of the present study was to evaluate whether there are common genetic and environmental factors influencing this cluster in a general population of twin pairs. MATERIALS AND METHODS A multivariate genetic analysis was performed on nine endophenotypes associated with the metabolic syndrome from 625 adult twin pairs of the GEMINAKAR study of the Danish Twin Registry. RESULTS All endophenotypes showed moderate to high heritability (0.31-0.69) and small common environmental variance (0.05-0.21). In general, genetic and phenotypic correlations between the endophenotypes were strong only within sets of physiologically similar endophenotypes, but weak to moderate for other pairs of endophenotypes. However, moderate correlations between insulin resistance indices and either obesity-related endophenotypes or triacylglycerol levels indicated that some common genetic backgrounds are shared between those components. CONCLUSIONS/INTERPRETATION We demonstrated that, in a general population, the endophenotypes associated with the metabolic syndrome apparently do not share a substantial common genetic or familial environmental background.
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Affiliation(s)
- B Benyamin
- Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, Scotland, UK
- Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - T I A Sørensen
- Danish Epidemiology Science Centre, Institute of Preventive Medicine, Copenhagen University Hospitals, Centre for Health and Society, Copenhagen, Denmark
| | - K Schousboe
- The Danish Twin Registry, Epidemiology, Institute of Public Health, University of Southern Denmark, Sdr. Boulevard 23A, 5000, Odense C, Denmark
| | - M Fenger
- Department of Clinical Biochemistry, University Hospital of Copenhagen, Hvidovre, Denmark
| | - P M Visscher
- Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, Scotland, UK
- Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - K O Kyvik
- The Danish Twin Registry, Epidemiology, Institute of Public Health, University of Southern Denmark, Sdr. Boulevard 23A, 5000, Odense C, Denmark.
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Abstract
It has been hypothesized that visceral fat releases free fatty acids and adipokines and thereby exposes the liver to fat accumulation. The authors aimed to evaluate current epidemiologic evidence for an association between abdominal fat and liver fat content. Clinical and epidemiologic studies with data on abdominal fat and liver fat content were reviewed. Studies using waist circumference to estimate abdominal fat mass suggested a direct association between abdominal fat and liver fat content. Studies using imaging methods suggested a direct association between intraabdominal fat and liver fat content, but not between subcutaneous abdominal fat and liver fat content. In conclusion, clinical and epidemiologic studies of abdominal fat and liver fat content suggest a direct association between abdominal fat and liver fat content which is probably accounted for by visceral fat. However, results from the included studies do not allow strong conclusions regarding the temporal sequence of events. Future longitudinal studies are recommended to obtain additional information on associations and mechanisms. Both abdominal fat depots and other body compartments of interest should be included to further investigate the association between specific fat depots and liver fat content. Biomarkers may provide insight into underlying mechanisms.
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Affiliation(s)
- M U Jakobsen
- Institute of Preventive Medicine, Centre for Health And Society, Copenhagen University Hospital, Copenhagen, Denmark.
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Abstract
There has been a pronounced, distinctive increase of the prevalence of obesity within almost all age groups of the Danish population, during the last 25-30 years. The largest increase has been documented in studies based on objective data from total populations and the latest data show the increase will continue. The Danish studies show heterogeneity in the development of the obesity epidemic. A close association with birth cohorts indicates a need for further aetiological research, not only into behavioural factors, but also into early life factors that may explain some of this developmental pattern.
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Affiliation(s)
- P Due
- Department of Social Medicine, Institute of Public Health, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
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Abstract
BACKGROUND Recent studies indicate that not only women's but also men's obesity has adverse effects on fecundity and since fecundity is a couple concept, we examined fecundity in relation to overweight and obesity of the couple. We also examined the association between weight changes and fecundity over time. METHODS Between 1996 and 2002, 64 167 pregnant women enrolled in the Danish National Birth Cohort were interviewed during and 18 months after pregnancy. Information on body mass index (BMI) and waiting time to pregnancy (TTP) was available for 47 835 couples. RESULTS Among men and women with a BMI of 18.5 kg/m(2) or more, we found a dose-response relationship between increasing BMI group and subfecundity (a TTP of more than 12 months): Odds ratio (OR) = 1.32 (95% CI: 1.26-1.37) for women and OR = 1.19 (95% CI: 1.14-1.24) for men. Among 2374 women with an initial BMI of 18.5 kg/m(2) or more, who participated more than once in the Danish National Birth Cohort, each kilogram increment in weight between the two pregnancies was associated with a 2.84 (95% CI: 1.33-4.35) days longer TTP. CONCLUSIONS Couples have a high risk of being subfecund if they are both obese.
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Affiliation(s)
- C H Ramlau-Hansen
- Department of Epidemiology, UCLA School of Public Health, University of California-Los Angeles, 650 Charles E. Young Drive S., Los Angeles, CA 90095, USA.
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Sorensen GL, Hjelmborg JVB, Leth-Larsen R, Schmidt V, Fenger M, Poulain F, Hawgood S, Sørensen TIA, Kyvik KO, Holmskov U. Surfactant protein D of the innate immune defence is inversely associated with human obesity and SP-D deficiency infers increased body weight in mice. Scand J Immunol 2007; 64:633-8. [PMID: 17083619 DOI: 10.1111/j.1365-3083.2006.01853.x] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.2] [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: 01/15/2023]
Abstract
Surfactant protein D (SP-D) is a key regulator of pathogen-induced inflammation. SP-D is further involved in lipid homeostasis in mouse lung and circulation and recent data have demonstrated that the body mass index (BMI; in kg/m(2)) is influenced by genes in common with SP-D. The objective of the present study was to describe the association between serum SP-D and weight, waist circumference or BMI, and furthermore to observe body weight development in SP-D-deficient (Spd-/-) mice. As a part of the Danish population-based twin study (GEMINAKAR) on the metabolic syndrome, we analysed 1476 Danish twins for serum SP-D and investigated associations with weight, waist circumference and BMI by multiple regression analysis. Serum SP-D was significantly and inversely associated with weight (P = 0.001) and waist circumference in men (P < 0.001) and to BMI in both genders (P = 0.039 women, P < 0.001 men). The age-dependent increase in serum SP-D was most prominent in lean persons (BMI < 20). Spd-/- mice and wild-type mice were subjected to a feeding study and body weights were recorded in a time course over 24 weeks. Spd-/- mouse weight gain was significantly increased, with 90 mg/week (P < 0.0001) in males on normal chow. Fat percentage was significantly increased by 17% in the Spd-/- male mice (P = 0.003). We conclude, that there is an association between low levels or absent SP-D and obesity.
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Affiliation(s)
- G L Sorensen
- Medical Biotechnology Center, University of Southern Denmark, Odense, Denmark.
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41
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Berentzen T, Petersen L, Pedersen O, Black E, Astrup A, Sørensen TIA. Long-term effects of leisure time physical activity on risk of insulin resistance and impaired glucose tolerance, allowing for body weight history, in Danish men. Diabet Med 2007; 24:63-72. [PMID: 17227326 DOI: 10.1111/j.1464-5491.2007.01991.x] [Citation(s) in RCA: 9] [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: 11/28/2022]
Abstract
AIMS To determine if the level of leisure time physical activity (LTPA) in young adulthood in obese and non-obese men reduces the risk of insulin resistance (IR) and impaired glucose tolerance (IGT) in middle age, and if such an effect is explained by the current level of LTPA, or by the body mass index (BMI) history preceding and subsequent to the assessment of LTPA. METHODS Longitudinal study of groups of obese and randomly selected non-obese men identified at around age 19, and re-examined at mean ages of 32, 44 and 51. BMI was measured at all four examinations. LTPA was assessed by self-administrated questionnaires at the last three examinations. IR and the presence of IGT was determined by an oral glucose tolerance test at the last examination. RESULTS LTPA in young adulthood reduced the risk of IR and IGT in middle age throughout the range of BMI. Adjustment for the BMI history preceding and subsequent to the assessment of LTPA attenuated the association with IR and IGT, but active men remained at low risk of IR and IGT. Adjustment for subsequent and current levels of LTPA, smoking habits, alcohol intake, educational level and family history of diabetes had no notable influence on the results. CONCLUSION LTPA appears to reduce the risk of IR and IGT, an effect which is not explained by the current level of physical activity, and only partially explained by the BMI history preceding and subsequent to the assessment of LTPA.
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Affiliation(s)
- T Berentzen
- Institute for Preventive Medicine, Center for Health and Society, Copenhagen, Denmark
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Abstract
Adult height and body mass index (BMI) influence the risk of breast cancer in women. Whether these associations reflect growth patterns of the fetus or growth during childhood and adolescence is unknown. We investigated the association between growth during childhood and the risk of breast cancer in a cohort of 117,415 Danish women. Birth weight, age at menarche, and annual measurements of height and weight were obtained from school health records. We used the data to model individual growth curves. Information on vital status, age at first childbirth, parity, and diagnosis of breast cancer was obtained through linkages to national registries. During 3,333,359 person-years of follow-up, 3340 cases of breast cancer were diagnosed. High birth weight, high stature at 14 years of age, low BMI at 14 years of age, and peak growth at an early age were independent risk factors for breast cancer. Height at 8 years of age and the increase in height during puberty (8-14 years of age) were also associated with breast cancer. The attributable risks of birth weight, height at 14 years of age, BMI at 14 years of age, and age at peak growth were 7%, 15%, 15%, and 9%, respectively. No effect of adjusting for age at menarche, age at first childbirth, and parity was observed. Birth weight and growth during childhood and adolescence influence the risk of breast cancer.
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Affiliation(s)
- M Ahlgren
- Department of Epidemiology Research, Danish Epidemiology Science Center, Statens Serum Institut, Copenhagen S, Denmark.
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43
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Buemann B, Astrup A, Pedersen O, Black E, Holst C, Toubro S, Echwald S, Holst JJ, Rasmussen C, Sørensen TIA. Possible role of adiponectin and insulin sensitivity in mediating the favorable effects of lower body fat mass on blood lipids. J Clin Endocrinol Metab 2006; 91:1698-704. [PMID: 16478823 DOI: 10.1210/jc.2005-1062] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.3] [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
AIMS The objective of this study was to investigate the role of insulin sensitivity and serum adiponectin concentration as determinants, in middle-aged men, of the relationship between lower body fat and blood lipids after truncal fat has been accounted for. METHODS Men (443) aged 39-65 yr, body mass index 18-43 kg/m(2), participated in the study. The following variables were measured: regional body fat distribution as assessed by dual-energy x-ray absorptiometry, maximal oxygen uptake, physical activity, fasting levels of serum adiponectin, triglycerides, and high-density lipoprotein- and total cholesterol. Plasma glucose and serum insulin were measured in the fasting state and after an oral glucose load. RESULTS Lower body fat mass was inversely associated with serum triglycerides and total cholesterol and positively with serum high-density lipoprotein-cholesterol after adjustment for age, lean tissue mass, truncal fat mass, weight history, maximal oxygen uptake, and the level of physical activity (P < 0.0005). Serum adiponectin level and Matsudas insulin sensitivity index were positively intercorrelated, and both were positively correlated to lower body fat mass. When including adiponectin and insulin sensitivity in the analyses, the relationships between lower body fat mass and serum lipids were partly explained. CONCLUSION For a given level of truncal fat mass, a large lower body fat mass is associated with an advantageous blood lipid profile, which may be partially mediated by the relationships to both insulin sensitivity and serum adiponectin level.
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Affiliation(s)
- B Buemann
- Department of Human Nutrition, Royal Veterinary and Agricultural University, 1958 Frederiksberg, Denmark.
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44
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Bua J, Prescott E, Schack-Nielsen L, Petersen L, Godtfredsen NS, Sørensen TIA, Osler M. Weight history from birth through childhood and youth in relation to adult lung function, in Danish juvenile obese and non-obese men. Int J Obes (Lond) 2006; 29:1055-62. [PMID: 15917843 DOI: 10.1038/sj.ijo.0802998] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.9] [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: 11/09/2022]
Abstract
OBJECTIVE To investigate the associations of birth weight, body mass index (BMI) during childhood and youth, and current BMI with adult lung function. DESIGN Population-based longitudinal study of juvenile obese and non-obese men, who were identified at draft board examination (age range: 19-27 y) and who participated in a follow-up examination in 1981-1983 (age range: 25-48 y). Birth weight, childhood weight and height measurements from 7 to 13 y of age were obtained from school health records. Current BMI and lung function were assessed at follow-up. SETTING Copenhagen and adjacent regions, Denmark. SUBJECTS In total, 193 juvenile obese men at draft board examination and 205 randomly selected nonobese controls from the same population. MAIN OUTCOME MEASURES Lung function measured by forced expiratory volume in 1 s (FEV(1)) and forced vital capacity (FVC), adjusted for age and height. RESULTS After adjusting for current BMI, smoking and education, birth weight was positively related to FEV(1), although only with borderline statistical significance. BMI at age 7 y was positively associated with both FEV(1) and FVC, whereas BMI at later ages in childhood and in youth was not associated with these measures. There was a strong negative linear relation between current BMI and lung function among those currently overweight and obese (BMI 25 kg/m(2)), whereas no association was seen in the non-obese (BMI <25 kg/m(2)). CONCLUSION Our findings confirm the detrimental effect of high current BMI on adult lung function, and further suggest that early childhood growth has a protective influence.
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Affiliation(s)
- J Bua
- Danish Epidemiology Science Center, Institute of Preventive Medicine, Kommunehospitalet, Copenhagen, Denmark.
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45
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Petersen M, Taylor MA, Saris WHM, Verdich C, Toubro S, Macdonald I, Rössner S, Stich V, Guy-Grand B, Langin D, Martinez JA, Pedersen O, Holst C, Sørensen TIA, Astrup A. Randomized, multi-center trial of two hypo-energetic diets in obese subjects: high- versus low-fat content. Int J Obes (Lond) 2005; 30:552-60. [PMID: 16331300 DOI: 10.1038/sj.ijo.0803186] [Citation(s) in RCA: 72] [Impact Index Per Article: 3.8] [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: 11/09/2022]
Abstract
OBJECTIVE To investigate whether a hypo-energetic low-fat diet is superior to a hypo-energetic high-fat diet for the treatment of obesity. DESIGN Open-label, 10-week dietary intervention comparing two hypo-energetic (-600 kcal/day) diets with a fat energy percent of 20-25 or 40-45. SUBJECTS Obese (BMI >or=30 kg/m(2)) adult subjects (n = 771), from eight European centers. MEASUREMENTS Body weight loss, dropout rates, proportion of subjects who lost more than 10% of initial body weight, blood lipid profile, insulin and glucose. RESULTS The dietary fat energy percent was 25% in the low-fat group and 40% in the high-fat group (mean difference: 16 (95% confidence interval (CI) 15-17)%). Average weight loss was 6.9 kg in the low-fat group and 6.6 kg in the high-fat group (mean difference: 0.3 (95% CI -0.2 to 0.8) kg). Dropout was 13.6% (n = 53) in the low-fat group and 18.3% (n = 70) in the high-fat group (P=0.001). Among completers, more subjects lost >10% in the low-fat group than in the high-fat group ((20.8%, n = 70) versus (14.7%, n = 46), P = 0.02). Fasting plasma total, low-density lipoprotein- and high-density lipoprotein-cholesterol decreased in both groups, but more so in the low-fat group than in the high-fat group. Fasting plasma insulin and glucose were lowered equally by both diets. CONCLUSIONS The low-fat diet produced similar mean weight loss as the high-fat diet, but resulted in more subjects losing >10% of initial body weight and fewer dropouts. Both diets produced favorable changes in fasting blood lipids, insulin and glucose.
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Affiliation(s)
- M Petersen
- Institute of Human Nutrition, The Royal Veterinary and Agricultural University, Copenhagen, Denmark
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46
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Abstract
The objective was to study prospectively the relation between quantity and type of alcohol and risk of gastric cancer. In a pooled database from three population studies conducted in 1964-1992, a total of 15,236 men and 13,227 women were followed for a total of 389,051 person-years. During follow-up 122 incident cases of gastric cancer were identified. Total alcohol intake itself was not associated with gastric cancer, but type of alcohol seemed to influence risk. Compared with non-wine drinkers, participants who drank 1-6 glasses of wine had a relative risk ratio of 0.76 (95% confidence interval (CI) 0.50-1.16), whereas those who drank >13 glasses of wine per week had a relative risk ratio of 0.16 (95% CI 0.02-1.18). Linear trend test showed a significant association with a relative risk ratio of 0.60 (95% CI 0.39-0.93) per glass of wine drunk per day. These relations persisted after adjustment for age, gender, educational level, body mass index, smoking habits, inhalation and physical activity. There was no association between beer or spirits drinking and gastric cancer. In conclusion, the present study suggests that a daily intake of wine may prevent development of gastric cancer.
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Affiliation(s)
- B Barstad
- Copenhagen Centre for Prospective Population Studies, Danish Epidemiology Science Centre at the Institute of Preventive Medicine, Copenhagen University Hospital, H:S Kommunehospitalet, DK-1399 Copenhagen K, Denmark
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Buemann B, Sørensen TIA, Pedersen O, Black E, Holst C, Toubro S, Echwald S, Holst JJ, Rasmussen C, Astrup A. Lower-body fat mass as an independent marker of insulin sensitivity--the role of adiponectin. Int J Obes (Lond) 2005; 29:624-31. [PMID: 15824752 DOI: 10.1038/sj.ijo.0802929] [Citation(s) in RCA: 47] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
AIMS To study the association between lower-body fat and estimates of whole-body insulin sensitivity in middle-aged men with and without a history of juvenile onset obesity, and to determine the possible mediating role of fasting serum adiponectin level as an insulin-sensitizing peptide. METHODS A total of 401 men aged 39-65 y, body mass index 18-54 kg/m2, participated in the study. The following variables were measured on the study participants: regional body fat distribution as assessed by dual energy X-ray absorptiometry, abdominal sagittal diameter, maximal oxygen uptake (VO2max), physical activity, fasting and post-glucose load levels of plasma glucose, serum insulin, and blood non-esterified fatty acid plus fasting levels of serum adiponectin and HbA1c. RESULTS Lower-body fat mass was positively associated with insulin sensitivity as estimated by Matsudas index also after adjusting for age, lean tissue mass, trunkal fat mass, weight changes since draft board examination, VO2max and the level of physical activity. In a subgroup of men selected for a large lower-body fat mass, fasting serum insulin concentration was 24% lower (P<0.01) and fasting serum adiponectin 33% higher (P<0.005) compared to a subgroup of men with a small lower-body fat mass but with similar trunkal fat mass. CONCLUSION Lower-body fat mass is positively associated with an estimate of insulin sensitivity independently of trunkal fat mass in both lean and obese middle-aged men and this effect could partly be statistically explained by variations in serum adiponectin levels.
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Affiliation(s)
- B Buemann
- Department of Human Nutrition, The Royal Veterinary and Agricultural University, Frederiksberg, Denmark.
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48
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Black E, Holst C, Astrup A, Toubro S, Echwald S, Pedersen O, Sørensen TIA. Long-term influences of body-weight changes, independent of the attained weight, on risk of impaired glucose tolerance and Type 2 diabetes. Diabet Med 2005; 22:1199-205. [PMID: 16108849 DOI: 10.1111/j.1464-5491.2005.01615.x] [Citation(s) in RCA: 57] [Impact Index Per Article: 3.0] [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: 11/30/2022]
Abstract
AIM To investigate if weight gain during adulthood has effects on the risk of developing impaired glucose tolerance (IGT) or Type 2 diabetes beyond effect of attained weight. RESEARCH DESIGN AND METHODS Data were obtained from a longitudinal study of two cohorts: one of juvenile-onset obese (n = 248) and one of randomly selected control (n = 320) men, weighed at average ages of 20, 33, 44 and 51 years, respectively. RESULTS For any given BMI, the risk of IGT was higher the greater the weight gain since age 20 (odds ratio of 1.10 per unit kg/m2 of BMI gain, confidence interval 1.03-1.17, P = 0.004), and weight gain during both the early and later ages contributed to the increased risk. Obese men, maintaining weight since age 20, had lower risk of IGT than non-obese men who became similarly obese by age 51. The risk of Type 2 diabetes increased by weight gain in early adult life, but not by more recent weight gain in the later periods, probably because of the development of Type 2 diabetes leading to weight loss. CONCLUSIONS Independent of attained level of body weight in middle-aged men, weight gain is associated with increased risk of IGT, and is greater in those not overweight in childhood.
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Affiliation(s)
- E Black
- Department of Human Nutrition, Centre of Advanced Food Research, The Royal Veterinary and Agricultural University, Frederiksberg, Denmark
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Tolstrup JS, Heitmann BL, Tjønneland AM, Overvad OK, Sørensen TIA, Grønbaek MN. The relation between drinking pattern and body mass index and waist and hip circumference. Int J Obes (Lond) 2005; 29:490-7. [PMID: 15672114 DOI: 10.1038/sj.ijo.0802874] [Citation(s) in RCA: 73] [Impact Index Per Article: 3.8] [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: 11/09/2022]
Abstract
OBJECTIVES To study the association between alcohol drinking pattern and obesity. DESIGN Cross-sectional population study with assessment of quantity and frequency of alcohol intake, waist and hip circumference, height, weight, and lifestyle factors including diet. SUBJECTS In all, 25 325 men and 24 552 women aged 50-65 y from the Diet, Cancer and Health Study, Denmark, 1993-1997 participated in the study. MEASUREMENTS Drinking frequency, total alcohol intake, body mass index (BMI), and waist and hip circumference. RESULTS Among men, total alcohol intake was positively associated with high BMI (>/=30 kg/m(2)), large waist circumference (>/=102 cm) and inversely associated with small hip circumference (<100 cm). Among women, the total alcohol was associated with high BMI, large waist (>/=88 cm), and small hips only for the highest intake (28+ drinks/week). The most frequent drinkers had the lowest odds ratios (OR) for being obese. Among men, OR for having a high BMI were 1.39 (95% confidence interval: 1.36-1.64), 1.17 (1.02-1.34), 1.00 (reference), 0.87 (0.77-0.98), and 0.73 (0.65-0.82) for drinking 1-3 days/month, 1 day/week, 2-4 days/week, 5-6 days/week, and 7 days/week, respectively. Similar estimates were found for waist circumference. Corresponding results were found for women. CONCLUSION For a given level of total alcohol intake, obesity was inversely associated with drinking frequency, whereas the amount of alcohol intake was positively associated with obesity. These results indicate that frequent drinking of small amounts of alcohol is the optimal drinking pattern in this relation.
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Affiliation(s)
- J S Tolstrup
- Centre for Alcohol Research, National Institute of Public Health, Copenhagen, Denmark.
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Bigaard J, Frederiksen K, Tjønneland A, Thomsen BL, Overvad K, Heitmann BL, Sørensen TIA. Waist circumference and body composition in relation to all-cause mortality in middle-aged men and women. Int J Obes (Lond) 2005; 29:778-84. [PMID: 15917857 DOI: 10.1038/sj.ijo.0802976] [Citation(s) in RCA: 145] [Impact Index Per Article: 7.6] [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: 11/09/2022]
Abstract
OBJECTIVE Waist circumference is directly related to all-cause mortality when adjusted for body mass index (BMI). Body fat and fat-free body mass, when mutually adjusted, show with increasing values an increasing and decreasing relation to all-cause mortality. We investigated the association of waist circumference and body composition (body fat and fat-free mass), mutually adjusted, to all-cause mortality. DESIGN A Danish prospective cohort study with a median follow-up period of 5.8 y. SUBJECTS In all, 27 178 men and 29 875 women, born in Denmark, aged 50-64 y, and without diagnosis of cancer at the time of invitation. MEASUREMENTS Waist circumference and body composition estimated from impedance measurements. Cox's regression models were used to estimate the mortality rate ratios (RR). RESULTS Waist circumference was strongly associated with all-cause mortality after adjustment for body composition; the mortality RR was 1.36 (95% confidence intervals (CI): 1.22-1.52) times higher per 10% larger waist circumference among men and 1.30 (95% CI: 1.17-1.44) times higher among women. Adjustment for waist circumference eliminated the association between high values of the body fat mass index (BFMI) and all-cause mortality. The association between fat-free mass index (FFMI) and mortality remained unaltered. CONCLUSION Waist circumference accounted for the mortality risk associated with excess body fat and not fat-free mass. Waist circumference remained strongly and directly associated with all-cause mortality when adjusted for total body fat in middle-aged men and women, suggesting that the increased mortality risk related to excess body fat is mainly due to abdominal adiposity.
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Affiliation(s)
- J Bigaard
- The Danish Cancer Society, Institute of Cancer Epidemiology, Copenhagen, Denmark.
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