Department of Sociology and Social Work, Texas Woman's University, Denton, TX, USA.
Department of Social Work and Child Advocacy, Montclair State University, Montclair, NJ, USA.
Ethn Health. 2020 Jul;25(5):686-701. doi: 10.1080/13557858.2018.1447650. Epub 2018 Mar 4.
Obesity rates have risen significantly in recent decades, with underprivileged Americans associated with higher rates of the condition. Risks associated with obesity, furthermore, appear unequally distributed across different racial/ethnic groups, according to the literature. The present study examined racial disparities in obesity as a function of socioeconomic factors, using a sample of American adults from a 32-year longitudinal study. We accounted for the time factor as we evaluated obesity's associations with selected socioeconomic factors; we also examined race/ethnicity's moderating role in obesity-socioeconomic status associations over time. We used data from the National Longitudinal Survey of Youth (NLSY) to obtain a final sample of 118,749 person-waves for analysis. A subsample of person-waves numbering 65,702 represented data from White respondents; one numbering 31,618 represented data from Black respondents; and one numbering 21,429 represented data from Hispanic respondents. Needing to consider repeated measures of the same variables over time, we chose generalized estimated equations (GEE) for use in the data analysis. Speaking generally, the obtained results suggested that for the two smaller subsamples, minority race/ethnicity could have introduced disadvantages that helped explain links between obesity and race/ethnicity. Results also showed that White-Black disparities in obesity have widened slightly in the past three decades, while White-Hispanic disparities have stabilized during the same time period.
近几十年来,肥胖率显著上升,贫困的美国人与该病症的高发病率有关。根据文献,肥胖相关的风险似乎在不同种族/族裔群体中分布不均。本研究使用一项为期 32 年的纵向研究中的美国成年人样本,考察了社会经济因素对肥胖的种族差异的影响。我们考虑了时间因素,评估了肥胖与选定的社会经济因素之间的关联;我们还研究了种族/族裔在肥胖与社会经济地位关联随时间变化中的调节作用。我们使用国家青年纵向调查 (NLSY) 的数据获得了最终的 118749 个人波次分析样本。个人波次的一个子样本为 65702 人,代表白人受访者的数据;一个子样本为 31618 人,代表黑人受访者的数据;一个子样本为 21429 人,代表西班牙裔受访者的数据。由于需要考虑同一变量在不同时间点的重复测量,我们选择了广义估计方程(GEE)进行数据分析。总的来说,研究结果表明,对于两个较小的子样本,少数族裔可能会带来劣势,这有助于解释肥胖与种族/族裔之间的联系。结果还表明,过去三十年来,肥胖的白人和黑人之间的差距略有扩大,而同期白人和西班牙裔之间的差距趋于稳定。