Averett Susan L, Stacey Nicholas, Wang Yang
Lafayette College, Easton, PA 18042, United States.
Brown University, Providence, RI 02912, United States.
Econ Hum Biol. 2014 Dec;15:23-40. doi: 10.1016/j.ehb.2014.05.003. Epub 2014 May 28.
Using data from the National Income Dynamics Study, we document differentials in both underweight and obesity across race and gender in post-Apartheid South Africa. Using a nonlinear decomposition method, we decompose these differences across gender within race and then across race within gender. Less than one third of the differences in obesity and underweight across gender are explained by differences in covariates. In contrast, at least 70% of the obesity differences across race are explained by differences in covariates. Behavioral variables such as smoking and exercise explain the largest part of the bodyweight differentials across gender. For bodyweight differentials across race within gender, however, socioeconomic status and background variables have the largest explanatory power for obesity differentials, while background variables play the key role in explaining the underweight differentials. These results indicate that eradicating obesity and underweight differentials will require targeting policies to specific groups.
利用国民收入动态研究的数据,我们记录了后种族隔离时代南非不同种族和性别的体重不足及肥胖差异情况。我们采用非线性分解方法,先在种族内部按性别分解这些差异,然后在性别内部按种族分解。性别间肥胖和体重不足差异中,不到三分之一可由协变量差异来解释。相比之下,至少70%的种族间肥胖差异可由协变量差异来解释。吸烟和运动等行为变量在解释性别间体重差异中占最大部分。然而,在性别内部的种族间体重差异方面,社会经济地位和背景变量对肥胖差异的解释力最大,而背景变量在解释体重不足差异中起关键作用。这些结果表明,消除肥胖和体重不足差异需要针对特定群体制定政策。