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The obesity transition: stages of the global epidemic

Published on Mar 1, 2019in The Lancet Diabetes & Endocrinology 24.54
· DOI :10.1016/S2213-8587(19)30026-9
Lindsay M. Jaacks13
Estimated H-index: 13
(Harvard University),
Stefanie Vandevijvere2
Estimated H-index: 2
(University of Auckland)
+ 6 AuthorsMajid Ezzati103
Estimated H-index: 103
(Imperial College London)
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Abstract
Summary The global prevalence of obesity has increased substantially over the past 40 years, from less than 1% in 1975, to 6–8% in 2016, among girls and boys, and from 3% to 11% among men and from 6% to 15% among women over the same time period. Our aim was to consolidate the evidence on the epidemiology of obesity into a conceptual model of the so-called obesity transition. We used illustrative examples from the 30 most populous countries, representing 77·5% of the world's population to propose a four stage model. Stage 1 of the obesity transition is characterised by a higher prevalence of obesity in women than in men, in those with higher socioeconomic status than in those with lower socioeconomic status, and in adults than in children. Many countries in south Asia and sub-Saharan Africa are presently in this stage. In countries in stage 2 of the transition, there has been a large increase in the prevalence among adults, a smaller increase among children, and a narrowing of the gap between sexes and in socioeconomic differences among women. Many Latin American and Middle Eastern countries are presently at this stage. High-income east Asian countries are also at this stage, albeit with a much lower prevalence of obesity. In stage 3 of the transition, the prevalence of obesity among those with lower socioeconomic status surpasses that of those with higher socioeconomic status, and plateaus in prevalence can be observed in women with high socioeconomic status and in children. Most European countries are presently at this stage. There are too few signs of countries entering into the proposed fourth stage of the transition, during which obesity prevalence declines, to establish demographic patterns. This conceptual model is intended to provide guidance to researchers and policy makers in identifying the current stage of the obesity transition in a population, anticipating subpopulations that will develop obesity in the future, and enacting proactive measures to attenuate the transition, taking into consideration local contextual factors.
  • References (86)
  • Citations (6)
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References86
Newest
Published on May 22, 2018in Psychological Reports 1.02
Burcu Tekeş1
Estimated H-index: 1
(METU: Middle East Technical University),
Yeşim Üzümcüoğlu2
Estimated H-index: 2
(METU: Middle East Technical University)
+ 1 AuthorsTürker Özkan20
Estimated H-index: 20
(METU: Middle East Technical University)
According to the World Health Organization, obesity is a major public health issue. In 2014, there were more than 600 million obese people around the world. According to the data of the World Health Organization, obesity rates differ among countries. One possible underlying reason of the difference can be culture, more specifically shared cultural values. The strategies and policies regarding obesity were developed; however, the effect of culture is not adequately considered. The aim of the stud...
Published on Feb 1, 2019in The Lancet 59.10
Boydoyd Swinburn68
Estimated H-index: 68
(Deakin University),
Vivica Kraak21
Estimated H-index: 21
(VT: Virginia Tech)
+ 40 AuthorsRaji Devarajan4
Estimated H-index: 4
(Public Health Foundation of India)
Additional co-authors: Prof Corinna Hawkes PhD, Mario Herrero PhD, Prof Peter S Hovmand PhD, Prof Mark Howden PhD, Lindsay M Jaacks PhD, Ariadne B Kapetanaki PhD, Matt Kasman PhD, Prof Harriet V Kuhnlein PhD, Prof Shiriki K Kumanyika PhD, Prof Bagher Larijani MD, Tim Lobstein PhD, Michael W Long PhD, Victor K R Matsudo MD, Susanna D H Mills PhD, Gareth Morgan PhD, Alexandra Morshed, Patricia M Nece JD, Prof An Pan PhD, David W Patterson, Gary Sacks PhD, Meera Shekar PhD, Geoff L Simmons, Warren ...
Published on Dec 1, 2018in BMC Public Health 2.57
Yvonne Commodore-Mensah10
Estimated H-index: 10
(Johns Hopkins University),
Elizabeth Selvin54
Estimated H-index: 54
(Johns Hopkins University)
+ 5 AuthorsLisa A. Cooper57
Estimated H-index: 57
(Johns Hopkins University)
Background Ethnic minority populations in the United States (US) are disproportionately affected by cardiovascular disease (CVD) risk factors, including hypertension, overweight/obesity, and diabetes. The size and diversity of ethnic minority immigrant populations in the US have increased substantially over the past three decades. However, most studies on immigrants in the US are limited to Asians and Hispanics; only a few have examined the prevalence of CVD risk factors across diverse immigrant...
Published on Nov 1, 2018in The Lancet 59.10
Jeffrey D. Stanaway32
Estimated H-index: 32
(UW: University of Washington),
Ashkan Afshin29
Estimated H-index: 29
(UW: University of Washington)
+ 1040 AuthorsFoad Abd-Allah32
Estimated H-index: 32
(Cairo University)
Summary Background The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 comparative risk assessment (CRA) is a comprehensive approach to risk factor quantification that offers a useful tool for synthesising evidence on risks and risk–outcome associations. With each annual GBD study, we update the GBD CRA to incorporate improved methods, new risks and risk–outcome pairs, and new data on risk exposure levels and risk–outcome associations. Methods We used the CRA framework dev...
Published on Aug 1, 2018in Australian and New Zealand Journal of Public Health 1.91
Ross Wilson5
Estimated H-index: 5
(University of Otago),
J. Haxby Abbott22
Estimated H-index: 22
(University of Otago)
Published on Aug 1, 2018in European Journal of Epidemiology 6.53
Rockli Kim7
Estimated H-index: 7
(Harvard University),
Ichiro Kawachi124
Estimated H-index: 124
(Harvard University)
+ 1 AuthorsS. V. Subramanian80
Estimated H-index: 80
(Harvard University)
Modeling variation at population level has become increasingly valued, but no clear application exists for modeling differential variation in health between individuals within a given population. We applied Goldstein’s method (in: Everrit, Howell (eds) Encyclopedia of statistics in behavioral science, Wiley, Hoboken, 2005) to model individual heterogeneity in body mass index (BMI) as a function of basic sociodemographic characteristics, each independently and jointly. Our analytic sample consist...
Published on Jul 1, 2018in The Lancet Global Health 15.87
Rockli Kim7
Estimated H-index: 7
(Harvard University),
Ichiro Kawachi124
Estimated H-index: 124
(Harvard University)
+ 1 AuthorsS. V. Subramanian80
Estimated H-index: 80
(Harvard University)
Summary Background Most epidemiological studies have not simultaneously quantified variance in health within and between populations. We aimed to estimate the extent to which basic socioeconomic factors contribute to variation in body-mass index (BMI) across different populations. Methods We pooled data from the cross-sectional Demographic and Health Surveys (2005–16) for 15–49 year old women with complete data for anthropometric measures in 58 low-income and middle-income countries (LMICs). We ...
Published on Apr 1, 2018in The Lancet. Public health
Anthony Rodgers48
Estimated H-index: 48
(UNSW: University of New South Wales),
Alistair Woodward37
Estimated H-index: 37
(University of Auckland)
+ 1 AuthorsWilliam H. Dietz97
Estimated H-index: 97
(GW: George Washington University)
Published on Jan 29, 2018in JAMA Internal Medicine 20.77
Pascal Geldsetzer10
Estimated H-index: 10
(Harvard University),
Jennifer Manne14
Estimated H-index: 14
(Harvard University)
+ 6 AuthorsRifat Atun47
Estimated H-index: 47
(Harvard University)
Importance Understanding how diabetes and hypertension prevalence varies within a country as large as India is essential for targeting of prevention, screening, and treatment services. However, to our knowledge there has been no prior nationally representative study of these conditions to guide the design of effective policies. Objective To determine the prevalence of diabetes and hypertension in India, and its variation by state, rural vs urban location, and individual-level sociodemographic ch...
Kristina Hoffmann9
Estimated H-index: 9
(Heidelberg University),
Rianne de Gelder12
Estimated H-index: 12
(EUR: Erasmus University Rotterdam)
+ 9 AuthorsOla Ekholm30
Estimated H-index: 30
(University of Southern Denmark)
Abstract Background The prevalence of obesity increased dramatically in many European countries in the past decades. Whether the increase occurred to the same extent in all socioeconomic groups is less known. We systematically assessed and compared the trends in educational inequalities in obesity in 15 different European countries between 1990 and 2010. Methods Nationally representative survey data from 15 European countries were harmonized and used in a meta-regression of trends in prevalence ...
Cited By6
Newest
Published on Oct 1, 2019in Experimental and Molecular Pathology 2.35
Dongyun Ruan (NCU: Nanchang University), Yanfeng Liu (NCU: Nanchang University)+ 2 AuthorsYan Sun (SU: Southern University and A&M College)
Abstract Diabetes mellitus (DM) is characterized by the elevated blood glucose levels and is regarded as one of the most threatening diseases worldwide. The dysfunction of pancreatic beta cells is a key contributor for the pathophysiology of DM. There is growing evidence showing the role of microRNAs (miRNAs) in the regulation of pancreatic beta cell functions. In the present study, we determined the expression of miR-149-5p in pancreatic beta cells under high-glucose (HG) stimulation and explor...
Published in Obesity Surgery 3.60
Sena An (KNU: Kyungpook National University), Hae-Young Park3
Estimated H-index: 3
(KNU: Kyungpook National University)
+ -3 AuthorsJin-Won Kwon14
Estimated H-index: 14
(KNU: Kyungpook National University)
Objective This study aimed to evaluate the cost-effectiveness of bariatric surgery (BS) compared to non-surgical treatment (NST) in Korean people with morbid obesity according to comorbidities and body mass index (BMI) severity.
Published on Jul 12, 2019in Stem Cells 5.61
Shimon Efrat23
Estimated H-index: 23
(TAU: Tel Aviv University)
Karimollah Hajian-Tilaki16
Estimated H-index: 16
(Babol University of Medical Sciences),
Behzad Heidari16
Estimated H-index: 16
(Babol University of Medical Sciences)
Abstract Aims To investigate the association of obesity phenotypes with non-obese components of metabolic syndrome (MetS) by considering the presence of general adiposity and central obesity. Methods We analyzed the data of population-based cross-sectional study of 981 adults’ individuals who were community dwelling in urban population of Babol, the north of Iran. The demographic characteristics and anthropometric measures and hypertension were collected with standard method by trained nurses. T...
Published on Jun 9, 2019in Phytotherapy Research 3.77
Angelo A. Izzo64
Estimated H-index: 64
Published on May 30, 2019in Journal of Biomedical Nanotechnology
Vera H. Koch14
Estimated H-index: 14
(USP: University of São Paulo)
Published on Apr 26, 2019in Journal of Biological Education 0.84
Monika Weissová , Prokop Pavol (Comenius University in Bratislava), Pavol Prokop (Comenius University in Bratislava)
ABSTRACTChildren’s ideas, which differ from a scientific view, are termed as alternative conceptions (AC). AC are extremely resistant to change and arise from everyday experience. Investigation of children’s AC about weight gain and their ability to discriminate between healthy and unhealthy foods is important, because it can help teachers reduce obesity amongst children. We investigated these issues in a sample of kindergarten and primary school children in Slovakia. More AC about weight gain w...
Published on Jan 1, 2019
Birbal Singh2
Estimated H-index: 2
,
Gorakh Mal3
Estimated H-index: 3
+ 1 AuthorsM. Mukesh14
Estimated H-index: 14
Published in Food & Function 3.24
Katarzyna Skrypnik3
Estimated H-index: 3
,
Paweł Bogdański15
Estimated H-index: 15
(Poznan University of Medical Sciences)
+ -3 AuthorsJoanna Suliburska14
Estimated H-index: 14
Obesity leads to detrimental abnormalities of iron (Fe) metabolism. So far, studies have shown that single-strain probiotic supplementation ameliorates the gut microbiota quality disrupted in the obese and improves Fe homeostasis. The effect of multistrain probiotic supplementation and its dose-dependence in obese postmenopausal women remain unknown. The study aimed to investigate the effect of multistrain probiotic supplementation in two doses on selected parameters of Fe metabolism in obese po...