探索美国各县最低工资政策、收入不平等与肥胖率之间的关联。

IF 3.2 3区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Hossein Zare, Khushbu Balsara, Nicholas S Meyerson, Paul Delgado, Benjo Delarmente, Rachael McCleary, Roland J Thorpe, Darrell J Gaskin
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引用次数: 0

摘要

目标:研究美国各县的最低工资政策、收入不平等和肥胖率之间的相互作用,以及这种关系如何受政策、地方和县内种族/民族构成的影响:我们使用美国县域健康排名数据(County Health Rankings Data)来衡量美国县域的肥胖率(以体重指数≥30 kg/m2 为衡量标准),并将其与美国社区调查(American Community Survey)相结合,纳入基尼系数(GC)和人口特征。分析样本包括 2015 年至 2019 年间的 3129 个县。我们进行了几组回归分析,控制了县域特征、获得健康食品的机会以及作为肥胖率政策影响因素的最低工资类别:共有 31.7% 的人口患有肥胖症,各县之间的差异很大;在此期间,各县的平均 GC 为 0.442。我们的研究结果表明,在没有其他预测因素的情况下,GC 与县域肥胖率呈正相关(OLS 0.147,CI 0.122-0.173)。最低工资在 7.26 美元-9.0 美元和 9 美元以上的县的肥胖率分别低-0.6 个百分点和-2.8 个百分点,而获得健康食品的机会较少的县的肥胖率较高(Coeff = 0.022,CI 0.019-0.025):结论:收入不平等与县域肥胖率呈正相关。获得健康食品的机会和州最低工资政策可预测肥胖率,缺乏健康食品会增加肥胖率,而较高的最低工资则会降低肥胖率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the Association Between Minimum Wage Policy, Income Inequality, and Obesity Rates in US Counties.

Objective: To examine the interaction between minimum wage policy, income inequality, and obesity rates among U.S. counties, and how this relationship is shaped by policy, place, and racial/ethnic composition in a county.

Methods: We used the County Health Rankings Data for obesity ratio (measured by Body Mass Index ≥ 30 kg/m2) in US counties and combined it with the American Community Survey to include the Gini coefficient (GC) and population characteristics. The analytical sample included 3129 counties between 2015 and 2019. We ran several sets of regression analyses, controlling for county characteristics, access to healthy foods, and minimum wage categories as a policy influencer on the obesity ratio.

Results: In total, 31.7% of the population were obese, with wide variations across counties; during this time, counties' average GC was 0.442. Our findings showed that in the lack of any other predictors, GC has a positive association with the county obesity ratio (OLS 0.147, CI 0.122-0.173). Counties with minimum wage between $7.26-$9.0 and $9 + had lower obesity ratios by - 0.6 and - 2.8 percentage points, respectively, and counties with lower access to healthy foods had higher obesity ratio (Coeff = 0.022, CI 0.019-0.025).

Conclusions: Income inequality is positively associated with the obesity ratio in counties. Access to healthy foods and state minimum wage policy predict obesity rates, with a lack of healthy foods increasing the ratio, while a higher minimum wage reduces it.

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来源期刊
Journal of Racial and Ethnic Health Disparities
Journal of Racial and Ethnic Health Disparities PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
7.30
自引率
5.10%
发文量
263
期刊介绍: Journal of Racial and Ethnic Health Disparities reports on the scholarly progress of work to understand, address, and ultimately eliminate health disparities based on race and ethnicity. Efforts to explore underlying causes of health disparities and to describe interventions that have been undertaken to address racial and ethnic health disparities are featured. Promising studies that are ongoing or studies that have longer term data are welcome, as are studies that serve as lessons for best practices in eliminating health disparities. Original research, systematic reviews, and commentaries presenting the state-of-the-art thinking on problems centered on health disparities will be considered for publication. We particularly encourage review articles that generate innovative and testable ideas, and constructive discussions and/or critiques of health disparities.Because the Journal of Racial and Ethnic Health Disparities receives a large number of submissions, about 30% of submissions to the Journal are sent out for full peer review.
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