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Bourdier P, Simon C, Bessesen DH, Blanc S, Bergouignan A. The role of physical activity in the regulation of body weight: The overlooked contribution of light physical activity and sedentary behaviors. Obes Rev 2023; 24:e13528. [PMID: 36394185 PMCID: PMC10910694 DOI: 10.1111/obr.13528] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 07/31/2022] [Accepted: 10/23/2022] [Indexed: 11/18/2022]
Abstract
The role of physical activity (PA) in the regulation of body weight is still a major topic of debate. This may be because studies have essentially focused on the effects of moderate/vigorous PA (MVPA) on body weight while overlooking the other components of PA, namely, light-intensity PA (LPA, daily life activities) and sedentary behaviors (SB, too much sitting). In this review, we will (i) describe the history of changes in PA behaviors that occurred with modernization; (ii) review data from cross-sectional and longitudinal studies that examined the associations between PA, SB, and measures of obesity; (iii) review interventional studies that investigated the effects of changes in PA and SB on body weight and adiposity; and (iv) discuss experimental studies that addressed potential biological mechanisms underlying the effects of PA and SB on weight regulation. Overall recent findings support the importance of considering all components of PA to better understand the regulation of energy balance and suggest an important role for LPA and SB in addition to MVPA on body weight regulation. Longitudinal large-scale rigorous studies are needed to advance our knowledge of the role of PA/SB in combating the obesity epidemic.
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Affiliation(s)
- Pierre Bourdier
- CNRS IPHC UMR 7178 Université de Strasbourg, Strasbourg, France
| | - Chantal Simon
- CarMen Laboratory, INSERM 1060, INRAE 1397, University of Lyon, Oullins, France
- Human Nutrition Research Centre of Rhône-Alpes, Hospices Civils de Lyon, Lyon, France
| | - Daniel H. Bessesen
- Anschutz Health and Wellness Center, Division of Endocrinology, University of Colorado, Aurora, Colorado, USA
| | - Stéphane Blanc
- CNRS IPHC UMR 7178 Université de Strasbourg, Strasbourg, France
| | - Audrey Bergouignan
- CNRS IPHC UMR 7178 Université de Strasbourg, Strasbourg, France
- Anschutz Health and Wellness Center, Division of Endocrinology, University of Colorado, Aurora, Colorado, USA
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You W, Henneberg M. Relaxed natural selection contributes to global obesity increase more in males than in females due to more environmental modifications in female body mass. PLoS One 2018; 13:e0199594. [PMID: 30021019 PMCID: PMC6051589 DOI: 10.1371/journal.pone.0199594] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Accepted: 06/11/2018] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVE Relaxed natural selection, measured by Biological State Index (Ibs), results in unfavourable genes/mutations accumulation in population. Obesity is partly heritable. We aim to examine and compare the effects of relaxed natural selection on male and female obesity prevalence. METHODS Data for 191 countries of the world were captured for this ecological study. Curvilinear regressions, bivariate and partial correlations, linear mixed models and multivariate linear regression analyses were used to examine the relationship between Ibs and sex-specific obesity prevalence. Per capita GDP, urbanization and caloric intake were controlled for as the confounding factors. Fisher r-to-z transformation, R2 increment in multivariate regression and F-test were used to compare the correlations. RESULTS Curvilinear regressions, bivariate and partial correlations (controlled for GDP, urbanization and calories) revealed that Ibs was significantly correlated to obesity prevalence of both sexes, but significantly stronger to male than to female obesity prevalence. Curvilinear regression models also showed strong correlations. Mixed linear models, with effects of GDP, urbanisation and caloric intake controlled for, showed that male and female average obesity prevalence rates were significantly higher in countries with greater Ibs value than their equivalents in countries with lower Ibs. Between higher and lower Ibs countries, the gap of male obesity prevalence is 60% greater than the gap of female obesity prevalence. Stepwise multiple regression identified that Ibs was a significant predictor of obesity prevalence of both sexes. Multivariate regression showed that, adding Ibs as an obesity predictor, R2 increment in male model was significantly greater than in female model. CONCLUSIONS Relaxed natural selection may drive males and females to accumulate metabolic faulty genes equally. Probably due to greater environmental, personal intervention in regulating female body mass, relaxed natural selection shows less contributing effects to female obesity prevalence than to male obesity prevalence. Gene therapy to prevent obesity may need to be also taken into account.
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Affiliation(s)
- Wenpeng You
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
| | - Maciej Henneberg
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
- Institute of Evolutionary Medicine, University of Zurich, Zurich, Switzerland
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The Contributions of ‘Diet’, ‘Genes’, and Physical Activity to the Etiology of Obesity: Contrary Evidence and Consilience. Prog Cardiovasc Dis 2018; 61:89-102. [DOI: 10.1016/j.pcad.2018.06.002] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2018] [Accepted: 06/10/2018] [Indexed: 12/12/2022]
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Dugas LR, Kliethermes S, Plange-Rhule J, Tong L, Bovet P, Forrester TE, Lambert EV, Schoeller DA, Durazo-Arvizu RA, Shoham DA, Cao G, Brage S, Ekelund U, Cooper RS, Luke A. Accelerometer-measured physical activity is not associated with two-year weight change in African-origin adults from five diverse populations. PeerJ 2017; 5:e2902. [PMID: 28133575 PMCID: PMC5251933 DOI: 10.7717/peerj.2902] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Accepted: 12/12/2016] [Indexed: 12/20/2022] Open
Abstract
Background Increasing population-levels of physical activity (PA) is a controversial strategy for managing the obesity epidemic, given the conflicting evidence for weight loss from PA alone per se. We measured PA and weight change in a three-year prospective cohort study in young adults from five countries (Ghana, South Africa, Jamaica, Seychelles and USA). Methods A total of 1,944 men and women had baseline data, and at least 1 follow-up examination including measures of anthropometry (weight/BMI), and objective PA (accelerometer, 7-day) following the three-year study period. PA was explored as 1-minute bouts of moderate and vigorous PA (MVPA) as well as daily sedentary time. Results At baseline; Ghanaian and South African men had the lowest body weights (63.4 ± 9.5, 64.9 ± 11.8 kg, respectively) and men and women from the USA the highest (93.6 ± 25.9, 91.7 ± 23.4 kg, respectively). Prevalence of normal weight ranged from 85% in Ghanaian men to 29% in USA men and 52% in Ghanaian women to 15% in USA women. Over the two-year follow-up period, USA men and Jamaican women experienced the smallest yearly weight change rate (0.1 ± 3.3 kg/yr; −0.03 ± 3.0 kg/yr, respectively), compared to South African men and Ghanaian women greatest yearly change (0.6.0 ± 3.0 kg/yr; 1.22 ± 2.6 kg/yr, respectively). Mean yearly weight gain tended to be larger among normal weight participants at baseline than overweight/obese at baseline. Neither baseline MVPA nor sedentary time were associated with weight gain. Using multiple linear regression, only baseline weight, age and gender were significantly associated with weight gain. Discussion From our study it is not evident that higher volumes of PA alone are protective against future weight gain, and by deduction our data suggest that other environmental factors such as the food environment may have a more critical role.
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Affiliation(s)
- Lara R Dugas
- Public Health Sciences, Stritch School of Medicine, Loyola University Chicago , Maywood , IL , United States
| | - Stephanie Kliethermes
- Department of Orthopedics & Rehabilitation, University of Wisconsin, Madison , Madison , WI , United States
| | - Jacob Plange-Rhule
- Department of Physiology, Kwame Nkrumah University of Science and Technology , Kumasi , Ghana
| | - Liping Tong
- Public Health Sciences, Stritch School of Medicine, Loyola University Chicago , Maywood , IL , United States
| | - Pascal Bovet
- Institute of Social & Preventive Medicine, Lausanne University Hospital, Lausanne, VD, Switzerland; Ministry of Health, Victoria, Republic of Seychelles
| | - Terrence E Forrester
- Solutions for Developing Countries, University of West Indies, Mona , Kingston , Jamaica
| | - Estelle V Lambert
- Division of Exercise Science and Sports Medicine, Health Sciences, University of Cape Town , Cape Town , South Africa
| | - Dale A Schoeller
- Nutritional Sciences, University of Wisconsin, Madison , Madison , WI , United States
| | - Ramon A Durazo-Arvizu
- Public Health Sciences, Stritch School of Medicine, Loyola University Chicago , Maywood , IL , United States
| | - David A Shoham
- Public Health Sciences, Stritch School of Medicine, Loyola University Chicago , Maywood , IL , United States
| | - Guichan Cao
- Public Health Sciences, Stritch School of Medicine, Loyola University Chicago , Maywood , IL , United States
| | - Soren Brage
- MRC Epidemiology Unit, University of Cambridge , Cambridge , United Kingdom
| | - Ulf Ekelund
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom; Department of Sport Medicine, Norwegion School of Sport Sciences, Oslo, Norway
| | - Richard S Cooper
- Public Health Sciences, Stritch School of Medicine, Loyola University Chicago , Maywood , IL , United States
| | - Amy Luke
- Public Health Sciences, Stritch School of Medicine, Loyola University Chicago , Maywood , IL , United States
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Abstract
Despite billions of dollars spent over decades of research, debate remains over the causes and solutions of the obesity epidemic. The specific role of physical activity in the prevention or treatment of obesity seems a particularly contentious issue, with opposing views put forth in both academic and popular media. In an attempt to provide context and clarity to the specific question of the role of physical activity in determination of body weight, we have attempted to identify evidence or lack thereof in the scientific literature and provide a summary of our findings. Areas covered: Topics included in this narrative review are an overview of energy balance, the relationship between physical activity and energy expenditure, compensatory responses in non-exercise energy expenditure and energy intake, and the relationship between physical activity and obesity. Expert commentary: Based on a review of the existing literature, daily physical activity and structured exercise has beneficial effects on an individual's body weight. In most instances, exercise occurring in adequate amounts will increase total daily energy expenditure and create an acute energy deficit, without compensatory decreases in non-exercise physical activity or energy expenditure nor compensatory increases in energy intake. Several gaps in the literature exist, both in terms of the number of adequately powered clinical trials with rigorous assessments of both energy intake and expenditure, and with a variety of study populations (by age, sex, race, etc.) and with varying exercise volumes and intensities.
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Affiliation(s)
- Robin P Shook
- a Department of Kinesiology , Iowa State University , Ames , IA , USA
- b Department of Pediatrics , Children's Mercy Hospital , Kansas City , MO , USA
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Wiklund P. The role of physical activity and exercise in obesity and weight management: Time for critical appraisal. JOURNAL OF SPORT AND HEALTH SCIENCE 2016; 5:151-154. [PMID: 30356545 PMCID: PMC6188737 DOI: 10.1016/j.jshs.2016.04.001] [Citation(s) in RCA: 106] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2016] [Revised: 03/01/2016] [Accepted: 03/21/2016] [Indexed: 05/12/2023]
Abstract
The prevalence of overweight and obesity has increased dramatically during last 3 decades with devastating consequences to public health. Recommended strategies to reduce obesity have focused on healthier diet and physical activity (PA). Clearly, these approaches have not been successful, but whether this is due to failure to restrict energy intake or to maintain high levels of energy expenditure has been the subject of great controversy. Consequently, there has been a great deal of confusion about the role of PA and exercise in obesity and weight management. In this article, the theoretical basis for considering reduced PA and energy expenditure as the cause of obesity is appraised. Further, the role of PA in food intake and weight control is examined. The idea that obesity is caused by consistent decline in daily energy expenditure is not supported either by objective measures of energy expenditure or physiological theory of weight gain alone. However, since voluntary exercise is the most important discretionary component of total daily energy expenditure, it can affect energy balance. Therefore, PA and exercise hold potential as part of the solution for the ongoing obesity epidemic.
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Pavey TG, Peeters GMEEG, Gomersall SR, Brown WJ. Long-term Effects of Physical Activity Level on Changes in Healthy Body Mass Index Over 12 Years in Young Adult Women. Mayo Clin Proc 2016; 91:735-44. [PMID: 27143482 DOI: 10.1016/j.mayocp.2016.03.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Revised: 02/18/2016] [Accepted: 03/04/2016] [Indexed: 11/27/2022]
Abstract
OBJECTIVES To examine the effects of overall level and timing of physical activity (PA) on changes from a healthy body mass index (BMI) category over 12 years in young adult women. PATIENTS AND METHODS Participants in the Australian Longitudinal Study on Women's Health (younger cohort, born 1973-1978) completed surveys between 2000 (age 22-27 years) and 2012 (age 34-39 years). Physical activity was measured in 2000, 2003, 2006, and 2009 and was categorized as very low, low, active, or very active at each survey, and a cumulative PA score for this 9-year period was created. Logistic regression was used to examine relationships between PA accumulated across all surveys (cumulative PA model) and PA at each survey (critical periods PA model), with change in BMI category (from healthy to overweight or healthy to obese) from 2000 to 2012. RESULTS In women with a healthy BMI in 2000, there were clear dose-response relationships between accumulated PA and transition to overweight (P=.03) and obesity (P<.01) between 2000 and 2012. The critical periods analysis indicated that very active levels of PA at the 2006 survey (when the women were 28-33 years old) and active or very active PA at the 2009 survey (age 31-36 years) were most protective against transitioning to overweight and obesity. CONCLUSION These findings confirm that maintenance of very high PA levels throughout young adulthood will significantly reduce the risk of becoming overweight or obese. There seems to be a critical period for maintaining high levels of activity at the life stage when many women face competing demands of caring for infants and young children.
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Affiliation(s)
- Toby G Pavey
- Centre for Research on Exercise, Physical Activity, and Health, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia.
| | - G M E E Geeske Peeters
- School of Public Health and Preventive Medicine, Health Services Research Unit, Monash University, Melbourne, Victoria, Australia
| | - Sjaan R Gomersall
- Centre for Research on Exercise, Physical Activity, and Health, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia
| | - Wendy J Brown
- Centre for Research on Exercise, Physical Activity, and Health, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia
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Maternal exercise before and during pregnancy does not impact offspring exercise or body composition in mice. J Negat Results Biomed 2015; 14:13. [PMID: 26235102 PMCID: PMC4522962 DOI: 10.1186/s12952-015-0032-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2015] [Accepted: 07/01/2015] [Indexed: 01/16/2023] Open
Abstract
Background The genome, the environment, and their interactions simultaneously regulate complex traits such as body composition and voluntary exercise levels. One such environmental influence is the maternal milieu (i.e., in utero environment or maternal care). Variability in the maternal environment may directly impact the mother, and simultaneously has the potential to influence the physiology and/or behavior of offspring in utero, post birth, and into adulthood. Here, we utilized a murine model to examine the effects of the maternal environment in regard to voluntary exercise (absence of wheel running, wheel running prior to gestation, and wheel running prior to and throughout gestation) on offspring weight and body composition (% fat tissue and % lean tissue) throughout development (~3 to ~9 weeks of age). Additionally, we examined the effects of ~6 weeks of maternal exercise (prior to and during gestation) on offspring exercise levels at ~9 weeks of age. Results We observed no substantial effects of maternal exercise on subsequent male or female offspring body composition throughout development, or on the propensity of offspring to engage in voluntary wheel running. At the level of the individual, correlational analyses revealed some statistically significant relationships between maternal and offspring exercise levels, likely reflecting previously known heritability estimates for such traits. Conclusions The current results conflict with previous findings in human and mouse models demonstrating that maternal exercise has the potential to alter offspring phenotypes. We discuss our negative findings in the context of the timing of the maternal exercise and the level of biological organization of the examined phenotypes within the offspring. Electronic supplementary material The online version of this article (doi:10.1186/s12952-015-0032-x) contains supplementary material, which is available to authorized users.
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Falck RS, Shook RP, Hand GA, Lavie CJ, Blair SN. Extremes of weight gain and weight loss with detailed assessments of energy balance: Illustrative case studies and clinical recommendations. Postgrad Med 2014; 127:282-8. [DOI: 10.1080/00325481.2014.995067] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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10
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Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, Mullany EC, Biryukov S, Abbafati C, Abera SF, Abraham JP, Abu-Rmeileh NME, Achoki T, AlBuhairan FS, Alemu ZA, Alfonso R, Ali MK, Ali R, Guzman NA, Ammar W, Anwari P, Banerjee A, Barquera S, Basu S, Bennett DA, Bhutta Z, Blore J, Cabral N, Nonato IC, Chang JC, Chowdhury R, Courville KJ, Criqui MH, Cundiff DK, Dabhadkar KC, Dandona L, Davis A, Dayama A, Dharmaratne SD, Ding EL, Durrani AM, Esteghamati A, Farzadfar F, Fay DFJ, Feigin VL, Flaxman A, Forouzanfar MH, Goto A, Green MA, Gupta R, Hafezi-Nejad N, Hankey GJ, Harewood HC, Havmoeller R, Hay S, Hernandez L, Husseini A, Idrisov BT, Ikeda N, Islami F, Jahangir E, Jassal SK, Jee SH, Jeffreys M, Jonas JB, Kabagambe EK, Khalifa SEAH, Kengne AP, Khader YS, Khang YH, Kim D, Kimokoti RW, Kinge JM, Kokubo Y, Kosen S, Kwan G, Lai T, Leinsalu M, Li Y, Liang X, Liu S, Logroscino G, Lotufo PA, Lu Y, Ma J, Mainoo NK, Mensah GA, Merriman TR, Mokdad AH, Moschandreas J, Naghavi M, Naheed A, Nand D, Narayan KMV, Nelson EL, Neuhouser ML, Nisar MI, Ohkubo T, Oti SO, Pedroza A, Prabhakaran D, Roy N, Sampson U, Seo H, Sepanlou SG, Shibuya K, Shiri R, Shiue I, Singh GM, Singh JA, Skirbekk V, Stapelberg NJC, Sturua L, Sykes BL, Tobias M, Tran BX, Trasande L, Toyoshima H, van de Vijver S, Vasankari TJ, Veerman JL, Velasquez-Melendez G, Vlassov VV, Vollset SE, Vos T, Wang C, Wang X, Weiderpass E, Werdecker A, Wright JL, Yang YC, Yatsuya H, Yoon J, Yoon SJ, Zhao Y, Zhou M, Zhu S, Lopez AD, Murray CJL, Gakidou E. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2014; 384:766-81. [PMID: 24880830 PMCID: PMC4624264 DOI: 10.1016/s0140-6736(14)60460-8] [Citation(s) in RCA: 7712] [Impact Index Per Article: 771.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
BACKGROUND In 2010, overweight and obesity were estimated to cause 3·4 million deaths, 3·9% of years of life lost, and 3·8% of disability-adjusted life-years (DALYs) worldwide. The rise in obesity has led to widespread calls for regular monitoring of changes in overweight and obesity prevalence in all populations. Comparable, up-to-date information about levels and trends is essential to quantify population health effects and to prompt decision makers to prioritise action. We estimate the global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013. METHODS We systematically identified surveys, reports, and published studies (n=1769) that included data for height and weight, both through physical measurements and self-reports. We used mixed effects linear regression to correct for bias in self-reports. We obtained data for prevalence of obesity and overweight by age, sex, country, and year (n=19,244) with a spatiotemporal Gaussian process regression model to estimate prevalence with 95% uncertainty intervals (UIs). FINDINGS Worldwide, the proportion of adults with a body-mass index (BMI) of 25 kg/m(2) or greater increased between 1980 and 2013 from 28·8% (95% UI 28·4-29·3) to 36·9% (36·3-37·4) in men, and from 29·8% (29·3-30·2) to 38·0% (37·5-38·5) in women. Prevalence has increased substantially in children and adolescents in developed countries; 23·8% (22·9-24·7) of boys and 22·6% (21·7-23·6) of girls were overweight or obese in 2013. The prevalence of overweight and obesity has also increased in children and adolescents in developing countries, from 8·1% (7·7-8·6) to 12·9% (12·3-13·5) in 2013 for boys and from 8·4% (8·1-8·8) to 13·4% (13·0-13·9) in girls. In adults, estimated prevalence of obesity exceeded 50% in men in Tonga and in women in Kuwait, Kiribati, Federated States of Micronesia, Libya, Qatar, Tonga, and Samoa. Since 2006, the increase in adult obesity in developed countries has slowed down. INTERPRETATION Because of the established health risks and substantial increases in prevalence, obesity has become a major global health challenge. Not only is obesity increasing, but no national success stories have been reported in the past 33 years. Urgent global action and leadership is needed to help countries to more effectively intervene. FUNDING Bill & Melinda Gates Foundation.
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Affiliation(s)
- Marie Ng
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Tom Fleming
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Blake Thomson
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Nicholas Graetz
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Erin C Mullany
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Stan Biryukov
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Semaw Ferede Abera
- School of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia
| | - Jerry P Abraham
- University of Texas School of Medicine, San Antonio, TX, USA
| | - Niveen M E Abu-Rmeileh
- Institute of Community and Public Health, Birzeti University, Ramallah, West Bank, Occupied Palestinian Territory
| | - Tom Achoki
- Institute for Health Metrics and Evaluation, Seattle, WA, USA; Ministry of Health, Gaborone, Botswana
| | - Fadia S AlBuhairan
- King Abdulaziz Medical City, King Saud bin Abdulaziz University for Health Sciences and King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | | | | | | | | | | | | | | | | | - Simon Barquera
- National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | | | | | | | - Jed Blore
- University of Melbourne, Melbourne, VIC, Australia
| | | | | | | | | | | | | | | | | | - Lalit Dandona
- Institute for Health Metrics and Evaluation, Seattle, WA, USA; Public Health Foundation of India, New Delhi, India
| | | | | | | | - Eric L Ding
- Harvard School of Public Health, Boston, MA USA
| | - Adnan M Durrani
- National Institutes of Health, Bethesda and Montgomery, MD, USA
| | - Alireza Esteghamati
- Endocrinology and Metabolism Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Farshad Farzadfar
- Endocrinology and Metabolism Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, AUT University, Auckland, New Zealand
| | - Abraham Flaxman
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Atsushi Goto
- Department of Diabetes Research, National Center for Global Health and Medicine, Tokyo, Japan
| | | | | | - Nima Hafezi-Nejad
- Endocrinology and Metabolism Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Graeme J Hankey
- School of Medicine and Pharmacology, University of Western Australia, Perth, WA, Australia
| | | | | | | | - Lucia Hernandez
- National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | | | | | - Nayu Ikeda
- National Institute of Health and Nutrition, Tokyo, Japan
| | | | | | - Simerjot K Jassal
- VA San Diego, University of California San Diego, San Diego, CA, USA
| | - Sun Ha Jee
- Graduate School of Public Health, Yonsei University, Seoul, Korea
| | | | - Jost B Jonas
- Department of Ophthalmology, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | | | | | | | | | - Young-Ho Khang
- Institute of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea
| | - Daniel Kim
- Northeastern University, Boston, MA, USA
| | | | - Jonas M Kinge
- The Norwegian Institute of Public Health, Oslo, Norway
| | - Yoshihiro Kokubo
- Department of Preventive Cardiology, Department of Preventive Medicine and Epidemiologic Informatics, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Soewarta Kosen
- Center for Community Empowerment, Health Policy & Informatics, NIHRD, Jakarta, Indonesia
| | - Gene Kwan
- Boston Medical Center, Boston, MA, USA
| | - Taavi Lai
- Fourth View Consulting, Tallinn, Estonia
| | - Mall Leinsalu
- The National Institute for Health Development, Tallinn, Estonia
| | - Yichong Li
- National Center for Chronic and Non-communicable Disease Control and Prevention, Beijing, China
| | - Xiaofeng Liang
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shiwei Liu
- Chinese Center for Disease Control and Prevention, Beijing, China
| | | | | | - Yuan Lu
- Harvard School of Public Health, Boston, MA USA
| | - Jixiang Ma
- Chinese Center for Disease Control and Prevention, Beijing, China
| | | | - George A Mensah
- Center for Translation Research and Implementation Science (CTRIS), National Heart, Lung, and Blood Institute, Bethesda and Montgomery, MD, USA
| | | | - Ali H Mokdad
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Mohsen Naghavi
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Aliya Naheed
- International Centre for Diarrhoeal Diseases Research, Dhaka, Bangladesh
| | | | | | | | | | | | | | - Samuel O Oti
- African Population and Health Research Center, Nairobi, Kenya
| | - Andrea Pedroza
- National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | | | | | | | - Hyeyoung Seo
- Department of Public Health, Graduate School, Seoul, Korea
| | - Sadaf G Sepanlou
- Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Rahman Shiri
- Finnish institute of Occupational Health, Helsinki, Finland
| | - Ivy Shiue
- Heriot-Watt University, Edinburgh, Scotland, UK
| | | | | | | | | | - Lela Sturua
- National Center for Disease Control and Public Health, Tbilisi, Georgia
| | | | - Martin Tobias
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Bach X Tran
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | | | | | | | | | | | | | - Stein Emil Vollset
- The Norwegian Institute of Public Health, Oslo, Norway; University of Bergen, Bergen, Norway
| | - Theo Vos
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - XiaoRong Wang
- Shandong University affiliated Jinan Central Hospital, Jinan, China
| | | | - Andrea Werdecker
- Institute of Medical Sociology and Social Medicine, Marburg, Hessen, Germany
| | | | | | | | - Jihyun Yoon
- Department of Preventive Medicine, Seoul, Korea
| | | | - Yong Zhao
- Chongqing Medical University, Chongqing, China
| | - Maigeng Zhou
- National Center for Chronic and Non-communicable Disease Control and Prevention, Beijing, China
| | - Shankuan Zhu
- Zhejiang University School of Public Health, Hangzhou, China
| | - Alan D Lopez
- University of Melbourne, Melbourne, VIC, Australia
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Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, Mullany EC, Biryukov S, Abbafati C, Abera SF, Abraham JP, Abu-Rmeileh NME, Achoki T, AlBuhairan FS, Alemu ZA, Alfonso R, Ali MK, Ali R, Guzman NA, Ammar W, Anwari P, Banerjee A, Barquera S, Basu S, Bennett DA, Bhutta Z, Blore J, Cabral N, Nonato IC, Chang JC, Chowdhury R, Courville KJ, Criqui MH, Cundiff DK, Dabhadkar KC, Dandona L, Davis A, Dayama A, Dharmaratne SD, Ding EL, Durrani AM, Esteghamati A, Farzadfar F, Fay DFJ, Feigin VL, Flaxman A, Forouzanfar MH, Goto A, Green MA, Gupta R, Hafezi-Nejad N, Hankey GJ, Harewood HC, Havmoeller R, Hay S, Hernandez L, Husseini A, Idrisov BT, Ikeda N, Islami F, Jahangir E, Jassal SK, Jee SH, Jeffreys M, Jonas JB, Kabagambe EK, Khalifa SEAH, Kengne AP, Khader YS, Khang YH, Kim D, Kimokoti RW, Kinge JM, Kokubo Y, Kosen S, Kwan G, Lai T, Leinsalu M, Li Y, Liang X, Liu S, Logroscino G, Lotufo PA, Lu Y, Ma J, Mainoo NK, Mensah GA, Merriman TR, Mokdad AH, Moschandreas J, Naghavi M, Naheed A, Nand D, Narayan KMV, Nelson EL, Neuhouser ML, Nisar MI, Ohkubo T, Oti SO, Pedroza A, Prabhakaran D, Roy N, Sampson U, Seo H, Sepanlou SG, Shibuya K, Shiri R, Shiue I, Singh GM, Singh JA, Skirbekk V, Stapelberg NJC, Sturua L, Sykes BL, Tobias M, Tran BX, Trasande L, Toyoshima H, van de Vijver S, Vasankari TJ, Veerman JL, Velasquez-Melendez G, Vlassov VV, Vollset SE, Vos T, Wang C, Wang X, Weiderpass E, Werdecker A, Wright JL, Yang YC, Yatsuya H, Yoon J, Yoon SJ, Zhao Y, Zhou M, Zhu S, Lopez AD, Murray CJL, Gakidou E. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. LANCET (LONDON, ENGLAND) 2014. [PMID: 24880830 DOI: 10.1016/s0140-6736(14)60460] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND In 2010, overweight and obesity were estimated to cause 3·4 million deaths, 3·9% of years of life lost, and 3·8% of disability-adjusted life-years (DALYs) worldwide. The rise in obesity has led to widespread calls for regular monitoring of changes in overweight and obesity prevalence in all populations. Comparable, up-to-date information about levels and trends is essential to quantify population health effects and to prompt decision makers to prioritise action. We estimate the global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013. METHODS We systematically identified surveys, reports, and published studies (n=1769) that included data for height and weight, both through physical measurements and self-reports. We used mixed effects linear regression to correct for bias in self-reports. We obtained data for prevalence of obesity and overweight by age, sex, country, and year (n=19,244) with a spatiotemporal Gaussian process regression model to estimate prevalence with 95% uncertainty intervals (UIs). FINDINGS Worldwide, the proportion of adults with a body-mass index (BMI) of 25 kg/m(2) or greater increased between 1980 and 2013 from 28·8% (95% UI 28·4-29·3) to 36·9% (36·3-37·4) in men, and from 29·8% (29·3-30·2) to 38·0% (37·5-38·5) in women. Prevalence has increased substantially in children and adolescents in developed countries; 23·8% (22·9-24·7) of boys and 22·6% (21·7-23·6) of girls were overweight or obese in 2013. The prevalence of overweight and obesity has also increased in children and adolescents in developing countries, from 8·1% (7·7-8·6) to 12·9% (12·3-13·5) in 2013 for boys and from 8·4% (8·1-8·8) to 13·4% (13·0-13·9) in girls. In adults, estimated prevalence of obesity exceeded 50% in men in Tonga and in women in Kuwait, Kiribati, Federated States of Micronesia, Libya, Qatar, Tonga, and Samoa. Since 2006, the increase in adult obesity in developed countries has slowed down. INTERPRETATION Because of the established health risks and substantial increases in prevalence, obesity has become a major global health challenge. Not only is obesity increasing, but no national success stories have been reported in the past 33 years. Urgent global action and leadership is needed to help countries to more effectively intervene. FUNDING Bill & Melinda Gates Foundation.
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Affiliation(s)
- Marie Ng
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Tom Fleming
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Blake Thomson
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Nicholas Graetz
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Erin C Mullany
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Stan Biryukov
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Semaw Ferede Abera
- School of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia
| | - Jerry P Abraham
- University of Texas School of Medicine, San Antonio, TX, USA
| | - Niveen M E Abu-Rmeileh
- Institute of Community and Public Health, Birzeti University, Ramallah, West Bank, Occupied Palestinian Territory
| | - Tom Achoki
- Institute for Health Metrics and Evaluation, Seattle, WA, USA; Ministry of Health, Gaborone, Botswana
| | - Fadia S AlBuhairan
- King Abdulaziz Medical City, King Saud bin Abdulaziz University for Health Sciences and King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | | | | | | | | | | | | | | | | | - Simon Barquera
- National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | | | | | | | - Jed Blore
- University of Melbourne, Melbourne, VIC, Australia
| | | | | | | | | | | | | | | | | | - Lalit Dandona
- Institute for Health Metrics and Evaluation, Seattle, WA, USA; Public Health Foundation of India, New Delhi, India
| | | | | | | | - Eric L Ding
- Harvard School of Public Health, Boston, MA USA
| | - Adnan M Durrani
- National Institutes of Health, Bethesda and Montgomery, MD, USA
| | - Alireza Esteghamati
- Endocrinology and Metabolism Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Farshad Farzadfar
- Endocrinology and Metabolism Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, AUT University, Auckland, New Zealand
| | - Abraham Flaxman
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Atsushi Goto
- Department of Diabetes Research, National Center for Global Health and Medicine, Tokyo, Japan
| | | | | | - Nima Hafezi-Nejad
- Endocrinology and Metabolism Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Graeme J Hankey
- School of Medicine and Pharmacology, University of Western Australia, Perth, WA, Australia
| | | | | | | | - Lucia Hernandez
- National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | | | | | - Nayu Ikeda
- National Institute of Health and Nutrition, Tokyo, Japan
| | | | | | - Simerjot K Jassal
- VA San Diego, University of California San Diego, San Diego, CA, USA
| | - Sun Ha Jee
- Graduate School of Public Health, Yonsei University, Seoul, Korea
| | | | - Jost B Jonas
- Department of Ophthalmology, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | | | | | | | | | - Young-Ho Khang
- Institute of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea
| | - Daniel Kim
- Northeastern University, Boston, MA, USA
| | | | - Jonas M Kinge
- The Norwegian Institute of Public Health, Oslo, Norway
| | - Yoshihiro Kokubo
- Department of Preventive Cardiology, Department of Preventive Medicine and Epidemiologic Informatics, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Soewarta Kosen
- Center for Community Empowerment, Health Policy & Informatics, NIHRD, Jakarta, Indonesia
| | - Gene Kwan
- Boston Medical Center, Boston, MA, USA
| | - Taavi Lai
- Fourth View Consulting, Tallinn, Estonia
| | - Mall Leinsalu
- The National Institute for Health Development, Tallinn, Estonia
| | - Yichong Li
- National Center for Chronic and Non-communicable Disease Control and Prevention, Beijing, China
| | - Xiaofeng Liang
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shiwei Liu
- Chinese Center for Disease Control and Prevention, Beijing, China
| | | | | | - Yuan Lu
- Harvard School of Public Health, Boston, MA USA
| | - Jixiang Ma
- Chinese Center for Disease Control and Prevention, Beijing, China
| | | | - George A Mensah
- Center for Translation Research and Implementation Science (CTRIS), National Heart, Lung, and Blood Institute, Bethesda and Montgomery, MD, USA
| | | | - Ali H Mokdad
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Mohsen Naghavi
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Aliya Naheed
- International Centre for Diarrhoeal Diseases Research, Dhaka, Bangladesh
| | | | | | | | | | | | | | - Samuel O Oti
- African Population and Health Research Center, Nairobi, Kenya
| | - Andrea Pedroza
- National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | | | | | | | - Hyeyoung Seo
- Department of Public Health, Graduate School, Seoul, Korea
| | - Sadaf G Sepanlou
- Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Rahman Shiri
- Finnish institute of Occupational Health, Helsinki, Finland
| | - Ivy Shiue
- Heriot-Watt University, Edinburgh, Scotland, UK
| | | | | | | | | | - Lela Sturua
- National Center for Disease Control and Public Health, Tbilisi, Georgia
| | | | - Martin Tobias
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Bach X Tran
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | | | | | | | | | | | | | - Stein Emil Vollset
- The Norwegian Institute of Public Health, Oslo, Norway; University of Bergen, Bergen, Norway
| | - Theo Vos
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - XiaoRong Wang
- Shandong University affiliated Jinan Central Hospital, Jinan, China
| | | | - Andrea Werdecker
- Institute of Medical Sociology and Social Medicine, Marburg, Hessen, Germany
| | | | | | | | - Jihyun Yoon
- Department of Preventive Medicine, Seoul, Korea
| | | | - Yong Zhao
- Chongqing Medical University, Chongqing, China
| | - Maigeng Zhou
- National Center for Chronic and Non-communicable Disease Control and Prevention, Beijing, China
| | - Shankuan Zhu
- Zhejiang University School of Public Health, Hangzhou, China
| | - Alan D Lopez
- University of Melbourne, Melbourne, VIC, Australia
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