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首页> 外文期刊>JMIR public health and surveillance. >Association of Opioid Use Disorder With 2016 Presidential Voting Patterns: Cross-sectional Study in New York State at Census Tract Level
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Association of Opioid Use Disorder With 2016 Presidential Voting Patterns: Cross-sectional Study in New York State at Census Tract Level

机译：与2016年总统投票模式的阿片类药物使用障碍：纽约州普遍岛纽约州的横截面研究

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Background Opioid overdose-related deaths have increased dramatically in recent years. Combating the opioid epidemic requires better understanding of the epidemiology of opioid poisoning (OP) and opioid use disorder (OUD). Objective We aimed to discover geospatial patterns in nonmedical opioid use and its correlations with demographic features related to despair and economic hardship, most notably the US presidential voting patterns in 2016 at census tract level in New York State. Methods This cross-sectional analysis used data from New York Statewide Planning and Research Cooperative System claims data and the presidential voting results of 2016 in New York State from the Harvard Election Data Archive. We included 63,958 patients who had at least one OUD diagnosis between 2010 and 2016 and 36,004 patients with at least one OP diagnosis between 2012 and 2016. Geospatial mappings were created to compare areas of New York in OUD rates and presidential voting patterns. A multiple regression model examines the extent that certain factors explain OUD rate variation. Results Several areas shared similar patterns of OUD rates and Republican vote: census tracts in western New York, central New York, and Suffolk County. The correlation between OUD rates and the Republican vote was .38 (P.001). The regression model with census tract level of demographic and socioeconomic factors explains 30% of the variance in OUD rates, with disability and Republican vote as the most significant predictors. Conclusions At the census tract level, OUD rates were positively correlated with Republican support in the 2016 presidential election, disability, unemployment, and unmarried status. Socioeconomic and demographic despair-related features explain a large portion of the association between the Republican vote and OUD. Together, these findings underscore the importance of socioeconomic interventions in combating the opioid epidemic.
机译：背景技术近年来，阿片类药物过量的死亡急剧增加。对抗阿片类疫情需要更好地了解阿片类药物（OP）和阿片类药物使用障碍（Oud）的流行病学。目的我们旨在发现非医疗阿片类药物的地理空间模式及其与绝望和经济困难有关的人口特征的相关性，最重要的是2016年在纽约州普查辖区的美国总统投票模式。方法采用哈佛选举数据档案中的纽约州全国范校规划和研究合作系统声称数据以及2016年总统投票结果的这种横截面分析。我们包括2010年至2016年和2016年和2012年间患者至少一个Oud诊断的患者，2012年至2016年间至少有一个op诊断。创建了地理空间映射，以比较纽约的纽约地区，以oud汇率和总统投票模式。多元回归模型检查某些因素解释oud率变化的程度。结果若干地区共同欧元率和共和党投票模式：纽约西部，纽约市中心和萨福克县的人口普查。 Oud率和共和党投票之间的相关性是.38（P＆ .001）。与人口普查的人口统计和社会经济因素的回归模型解释了oud率差异的30％，残疾和共和党作为最重要的预测因素。在人口普查道级别，在2016年总统选举，残疾，失业和未婚地位，欧德率与共和党支持正相关。社会经济和人口绝望相关的特征解释了共和党投票与OUD之间的一大部分协会。这些研究结果共同强调了社会经济干预在对抗阿片类药物流行病方面的重要性。

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