首页> 美国卫生研究院文献>American Journal of Public Hygiene >Associations Between Macrolevel Economic Factors and Weight Distributions in Low- and Middle-Income Countries: A Multilevel Analysis of 200 000 Adults in 40 Countries
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Associations Between Macrolevel Economic Factors and Weight Distributions in Low- and Middle-Income Countries: A Multilevel Analysis of 200 000 Adults in 40 Countries

机译:中低收入国家宏观经济因素与权重分布之间的关联:对40个国家/地区200 000名成年人的多层次分析

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摘要

Objectives. We examined associations between macrolevel economic factors hypothesized to drive changes in distributions of weight and body mass index (BMI) in a representative sample of 200 796 men and women from 40 low- and middle-income countries.Methods. We used meta-regressions to describe ecological associations between macrolevel factors and mean BMIs across countries. Multilevel regression was used to assess the relation between macrolevel economic characteristics and individual odds of underweight and overweight relative to normal weight.Results. In multilevel analyses adjusting for individual-level characteristics, a 1–standard-deviation increase in trade liberalization was associated with 13% (95% confidence interval [CI] = 0.76, 0.99), 17% (95% CI = 0.71, 0.96), 13% (95% CI = 0.76, 1.00), and 14% (95% CI = 0.75, 0.99) lower odds of underweight relative to normal weight among rural men, rural women, urban men, and urban women, respectively. Economic development was consistently associated with higher odds of overweight relative to normal weight. Among rural men, a 1–standard-deviation increase in foreign direct investment was associated with 17% (95% CI = 1.02, 1.35) higher odds of overweight relative to normal weight.Conclusions. Macrolevel economic factors may be implicated in global shifts in epidemiological patterns of weight.
机译:目标。我们在来自40个低收入和中等收入国家的200至796名男性和女性的代表性样本中检验了被认为是推动体重和体重指数(BMI)分布变化的宏观经济因素之间的关联。我们使用元回归描述了宏观水平因素与各国平均BMI之间的生态联系。多级回归被用来评估宏观经济特征与体重过轻和体重过轻相对于正常体重的个体几率之间的关系。在针对个人特征进行多级分析的情况下,贸易自由化的1-标准偏差增加与13%(95%置信区间[CI] = 0.76,0.99),17%(95%CI = 0.71,0.96)相关。相对于正常体重,农村男性,农村女性,城市男性和城市女性的体重不足几率分别降低了13%(95%CI≥0.76,1.00)和14%(95%CI≥0.75,0.99)。经济发展始终与相对于正常体重的超重几率较高相关。在农村男性中,外商直接投资增加1个标准差与相对于正常体重的超重几率增加17%(95%CI = 1.02,1.35)有关。宏观经济因素可能与体重流行病学模式的全球变化有关。

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