Weight of nations: a socioeconomic analysis of women in low- to middle-income countries

Weight of nations: a socioeconomic analysis of women in low- to middle-income countries
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DOI:
10.3945/ajcn.110.004820
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发表时间:
2011-02-01
影响因子:
7.1
通讯作者:
Smith, George Davey
Smith, George Davey
中科院分区:
医学1区
文献类型:
--
作者:
Subramanian, S. V.;Perkins, Jessica M.;Smith, George Davey

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背景资料:在快速发展的经济体中,体重指数(BMI)和超重的增加趋势是公认的。目的:我们评估了低收入到中等收入国家的社会经济地位与BMI和超重之间的关系。设计:我们对全国代表性的538个样本进行了横断面分析,从1994年至2008年进行的54次人口与健康调查中抽取了140名15-49岁的妇女。BMI,计算为体重(千克)除以身高(米)的平方,被指定为结果,BMI(kg/m2)≥ 25被额外指定为超重的可能性模型。家庭财富和教育被列为个人社会经济地位的标志,人均国内生产总值(pcGDP)被列为国家经济发展的标志。结果:在全球范围内,财富增加四分之一与BMI增加0.54相关(95% CI:0.50,0.64)和33%的超重增加(95% CI:26%,41%)在调整后的模型。虽然这种关联的强度在不同的国家有所不同,但在96%(54个国家中的52个)的国家中,财富与BMI和超重之间的关联是积极的。在城市和农村地区也观察到类似的模式,尽管城市地区的社会经济地位梯度往往更大。pcGDP和BMI或超重之间存在正相关,只有微弱的证据表明pcGDP和wealth.Conclusion之间的相互作用:较高的BMI和超重仍然集中在较高的社会经济群体,即使增加BMI和超重的患病率是重要的全球公众关注。美国临床营养杂志2011;93:413-21。
Background: The increasing trend in body mass index (BMI) and overweight in rapidly developing economies is well recognized.Objective: We assessed the association between socioeconomic status and BMI and overweight in low-to middle-income countries.Design: We conducted a cross-sectional analysis of nationally representative samples of 538,140 women aged 15-49 y drawn from 54 Demographic and Health Surveys conducted between 1994 and 2008. BMI, calculated as weight in kilograms divided by height squared in meters, was specified as the outcome, and a BMI (in kg/m(2)) of >= 25 was additionally specified to model the likelihood of being overweight. Household wealth and education were included as markers of individual socioeconomic status, and per capita Gross Domestic Product (pcGDP) was included as a marker of country-level economic development.Results: Globally, a one-quartile increase in wealth was associated with a 0.54 increase in BMI (95% CI: 0.50, 0.64) and a 33% increase in overweight (95% CI: 26%, 41%) in adjusted models. Although the strength of this association varied across countries, the association between wealth and BMI and overweight was positive in 96% (52 of 54) of the countries. Similar patterns were observed in urban and rural areas, although SES gradients tended to be greater in urban areas. There was a positive association between pcGDP and BMI or overweight, with only weak evidence of an interaction between pcGDP and wealth.Conclusion: Higher BMI and overweight remain concentrated in higher socioeconomic groups, even though increasing BMI and overweight prevalence are important global public concerns. Am J Clin Nutr 2011;93:413-21.