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首页> 外文期刊>Preventive Medicine: An International Journal Devoted to Practice and Theory >The association between county political inclination and obesity: Results from the 2012 presidential election in the United States
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The association between county political inclination and obesity: Results from the 2012 presidential election in the United States

机译：县级政治倾向与肥胖之间的关联：2012年美国总统大选的结果

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摘要

Objective: We examined whether stable, county-level, voter preferences were significantly associated with county-level obesity prevalence using data from the 2012 US Presidential election. County voting preference for the 2012 Republican Party presidential candidate was used as a proxy for voter endorsement of personal responsibility approaches to reducing population obesity risk versus approaches featuring government-sponsored, multi-sectoral efforts like those recommended by the Centers for Disease Control Centers for Disease Control (CDC, 2009). Method: Cartographic visualization and spatial analysis were used to evaluate the geographic clustering of obesity prevalence rates by county, and county-level support for the Republican Party candidate in the 2012 U.S. presidential election. The spatial analysis informed the spatial econometric approach employed to model the relationship between political preferences and other covariates with obesity prevalence. Results: After controlling for poverty rate, percent African American and Latino populations, educational attainment, and spatial autocorrelation in the error term, we found that higher county-level obesity prevalence rates were associated with higher levels of support for the 2012 Republican Party presidential candidate. Conclusion: Future public health efforts to understand and reduce obesity risk may benefit from increased surveillance of this and similar linkages between political preferences and health risks.
机译：目的：我们使用2012年美国总统大选的数据，考察了稳定的县级选民偏好与县级肥胖发生率是否显着相关。县民对2012年共和党总统候选人的偏爱被用作选民的代议人选，以减少人口肥胖风险的个人责任方法与诸如疾病控制中心疾病预防控制中心建议的政府支持的多部门工作的方法控制（CDC，2009）。方法：使用制图可视化和空间分析来评估各县肥胖患病率的地理聚类，以及县级对2012年美国总统大选共和党候选人的支持。空间分析为采用空间计量经济学方法提供了依据，该方法可用于模拟政治倾向与肥胖率普遍存在的其他协变量之间的关系。结果：在控制误差率的贫困率，非裔美国人和拉丁美洲人的百分比，教育程度以及空间自相关之后，我们发现县级肥胖患病率较高与2012年共和党总统候选人的支持水平较高相关。结论：未来公众对了解和减少肥胖风险的努力可能会受益于对这一趋势以及政治偏好与健康风险之间类似联系的加强监督。

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