Associations between Obesity, Obesogenic Environments, and Structural Racism Vary by County-Level Racial Composition
Associations between Obesity, Obesogenic Environments, and Structural Racism Vary by County-Level Racial Composition
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DOI：
10.3390/ijerph16050861
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发表时间：
2019-03-01
影响因子：
--
通讯作者：
Young, Jessica L.
中科院分区：
文献类型：
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作者：
Bell, Caryn N.;Kerr, Jordan;Young, Jessica L.
美国的肥胖率与地区水平、食物相关的特征有关。以前的研究已经研究了结构性种族主义（歧视白色美国人和剥夺其他种族/少数民族群体的政策/做法）的作用，但社会经济地位（SES）的种族不平等是一个新的指标。本研究的目的是确定SES中的种族不平等与肥胖和致胖环境之间的关联。来自2007-2014年县健康排名和2012-2016年县商业模式的数据被结合起来，以评估黑人与白人肥胖的相对SES之间的关联，以及美国县的杂货店和快餐店的数量。使用随机效应线性和泊松回归，并按县种族组成分层。在贫困、失业和住房拥有方面的种族不平等与较高的肥胖率有关。在中等收入、大学毕业生和失业率方面的种族不平等与更少的杂货店和更多的快餐店有关。各郡的种族构成各不相同。结果表明，一个新的指标，结构性种族主义的县级与肥胖和肥胖的环境。协会不同的SES措施和县的种族构成，这表明有针对性的干预措施，以改善肥胖的环境和政策，以消除种族不平等的SES的能力。
Obesity rates in the U.S. are associated with area-level, food-related characteristics. Studies have previously examined the role of structural racism (policies/practices that advantaged White Americans and deprived other racial/ethnic minority groups), but racial inequalities in socioeconomic status (SES) is a novel indicator. The aim of this study is to determine the associations between racial inequalities in SES with obesity and obesogenic environments. Data from 2007-2014 County Health Rankings and 2012-2016 County Business Patterns were combined to assess the associations between relative SES comparing Blacks to Whites with obesity, and number of grocery stores and fast food restaurants in U.S. counties. Random effects linear and Poisson regressions were used and stratified by county racial composition. Racial inequality in poverty, unemployment, and homeownership were associated with higher obesity rates. Racial inequality in median income, college graduates, and unemployment were associated with fewer grocery stores and more fast food restaurants. Associations varied by county racial composition. The results demonstrate that a novel indicator of structural racism on the county-level is associated with obesity and obesogenic environments. Associations vary by SES measure and county racial composition, suggesting the ability for targeted interventions to improve obesogenic environments and policies to eliminate racial inequalities in SES.