A, countries with an urban excess BMI that increased from to Ettarh, R. Given that we had data for out of countries for women and out of countries for men, the second test is a better reflection of data availability in our analysis. Iswin Arrizal 4, views. Jacobs, A. Therefore, the largest health benefits of weight management are achieved by lowering the population distribution of BMI. Amarapurkar, Konrad Jamrozik, Dimitrios Trichopoulos. Add to. Questions and clarifications were discussed with NCD-RisC members and resolved before data were incorporated into the database.
Angela Chetrit;, Rachel Dankner; & Ofra Kalter-Leibovici . Pennington Biomedical Research Center, Baton Rouge, LA, USA . Inner Mongolia Medical University, Hohhot, China.
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Our results show that, contrary to the prevailing view 3456BMI is rising at the same rate or faster in rural areas compared to cities, particularly in low- and middle-income countries except among women in sub-Saharan Africa.
This study was funded by the Wellcome Trust. In the high-income Asia Pacific region and in central and eastern Europe, rural and urban men had almost identical BMI throughout these three decades Fig.
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|Sign up for Nature Briefing. Questions and clarifications were discussed with NCD-RisC members and resolved before data were incorporated into the database.
If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate. Nature— doi Bhutta Harvard T.
Rising rural bodymass index is the main driver of the global obesity epidemic in adults Nature
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Article Google Scholar 6. Danaei, G. Furthermore, higher incomes as a result of economic growth allow more spending on food and hence higher caloric intake, disproportionately more in rural areas, where a substantial share of income was previously spent on food. Statistical analysis of BMI trends by rural and urban place of residence We used a Bayesian hierarchical model to estimate mean BMI by country, year, sex, age and place of residence.
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|Acknowledgements This study was funded by the Wellcome Trust.
Report No. Sign up for Nature Briefing. Cancel Unsubscribe. For this paper, we used data from the NCD-RisC database for years to and ages 18 years and older. Bhutta Harvard T. BMI—a measure of underweight and overweight—is rising in most countries 2.
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We also tested how well our statistical model predicts missing data, known as external predictive validity or cross-validation, in two different tests. The few studies that covered more than one country 789101112 used at most a few dozen data sources and hence could not systematically estimate trends, and focused primarily on women of child-bearing age. Don't like this video? How Unilever reaches rural consumers in emerging markets.
The model incorporated nonlinear time trends comprising linear terms and a second-order random walk, all modelled hierarchically. Findings from the — China Health and Nutrition Surveys. Methods Our aim was to estimate trends in mean BMI from to by rural and urban place of residence for countries and territories Supplementary Table 2.