Literature DB >> 30704950

The obesity transition: stages of the global epidemic.

Lindsay M Jaacks1, Stefanie Vandevijvere2, An Pan3, Craig J McGowan4, Chelsea Wallace2, Fumiaki Imamura5, Dariush Mozaffarian6, Boyd Swinburn7, Majid Ezzati8.   

Abstract

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.
Copyright © 2019 Elsevier Ltd. All rights reserved.

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Year:  2019        PMID: 30704950      PMCID: PMC7360432          DOI: 10.1016/S2213-8587(19)30026-9

Source DB:  PubMed          Journal:  Lancet Diabetes Endocrinol        ISSN: 2213-8587            Impact factor:   32.069


  80 in total

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Authors:  Ali Iseri; Nurullah Arslan
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4.  Evolution of obesity prevalence in France: an age-period-cohort analysis.

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Journal:  Epidemiology       Date:  2010-05       Impact factor: 4.822

5.  Changing the future of obesity: science, policy, and action.

Authors:  Steven L Gortmaker; Boyd A Swinburn; David Levy; Rob Carter; Patricia L Mabry; Diane T Finegood; Terry Huang; Tim Marsh; Marjory L Moodie
Journal:  Lancet       Date:  2011-08-27       Impact factor: 79.321

6.  National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9·1 million participants.

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Journal:  Lancet       Date:  2011-02-03       Impact factor: 79.321

7.  Trends in educational inequalities in obesity in 15 European countries between 1990 and 2010.

Authors:  Kristina Hoffmann; Rianne De Gelder; Yannan Hu; Matthias Bopp; Jozsef Vitrai; Eero Lahelma; Gwenn Menvielle; Paula Santana; Enrique Regidor; Ola Ekholm; Johan P Mackenbach; Frank J van Lenthe
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9.  The age-specific quantitative effects of metabolic risk factors on cardiovascular diseases and diabetes: a pooled analysis.

Authors:  Gitanjali M Singh; Goodarz Danaei; Farshad Farzadfar; Gretchen A Stevens; Mark Woodward; David Wormser; Stephen Kaptoge; Gary Whitlock; Qing Qiao; Sarah Lewington; Emanuele Di Angelantonio; Stephen Vander Hoorn; Carlene M M Lawes; Mohammed K Ali; Dariush Mozaffarian; Majid Ezzati
Journal:  PLoS One       Date:  2013-07-30       Impact factor: 3.240

10.  Prevalence of childhood obesity and overweight in Bangladesh: findings from a countrywide epidemiological study.

Authors:  Tania Bulbul; Mozammel Hoque
Journal:  BMC Pediatr       Date:  2014-04-01       Impact factor: 2.125

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  185 in total

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Review 2.  Gut microbiota in human metabolic health and disease.

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3.  Effects of time-restricted feeding on body weight and metabolism. A systematic review and meta-analysis.

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4.  Rural-urban differences in socioeconomic inequality trends for double burden of malnutrition in Thailand 2005-2016.

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Journal:  Eur J Clin Nutr       Date:  2019-10-17       Impact factor: 4.016

5.  Diabetes Prevalence and Its Relationship With Education, Wealth, and BMI in 29 Low- and Middle-Income Countries.

Authors:  Jacqueline A Seiglie; Maja-Emilia Marcus; Cara Ebert; Nikolaos Prodromidis; Pascal Geldsetzer; Michaela Theilmann; Kokou Agoudavi; Glennis Andall-Brereton; Krishna K Aryal; Brice Wilfried Bicaba; Pascal Bovet; Garry Brian; Maria Dorobantu; Gladwell Gathecha; Mongal Singh Gurung; David Guwatudde; Mohamed Msaidié; Corine Houehanou; Dismand Houinato; Jutta Mari Adelin Jorgensen; Gibson B Kagaruki; Khem B Karki; Demetre Labadarios; Joao S Martins; Mary T Mayige; Roy Wong-McClure; Joseph Kibachio Mwangi; Omar Mwalim; Bolormaa Norov; Sarah Quesnel-Crooks; Bahendeka K Silver; Lela Sturua; Lindiwe Tsabedze; Chea Stanford Wesseh; Andrew Stokes; Rifat Atun; Justine I Davies; Sebastian Vollmer; Till W Bärnighausen; Lindsay M Jaacks; James B Meigs; Deborah J Wexler; Jennifer Manne-Goehler
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6.  Malabaricone C as Natural Sphingomyelin Synthase Inhibitor against Diet-Induced Obesity and Its Lipid Metabolism in Mice.

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7.  Cost-effectiveness of Bariatric Surgery for People with Morbid Obesity in South Korea.

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Review 10.  Lipid mechanisms in hallmarks of cancer.

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