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Geographic Variation, Economic Activity, and Labor Market Characteristics in Trajectories of Suicide in the United States, 2008-2020

机译:2008-2020 年美国自杀轨迹的地理差异、经济活动和劳动力市场特征

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Suicide rates in the United States have increased over the past 15 years, with substantial geographic variation in these increases; yet there have been few attempts to cluster counties by the magnitude of suicide rate changes according to intercept and slope or to identify the economic precursors of increases. We used vital statistics data and growth mixture models to identify clusters of counties by their magnitude of suicide growth from 2008 to 2020 and examined associations with county economic and labor indices. Our models identified 5 clusters, each differentiated by intercept and slope magnitude, with the highest-rate cluster (4 of counties) being observed mainly in sparsely populated areas in the West and Alaska, starting the time series at 25.4 suicides per 100,000 population, and exhibiting the steepest increase in slope (0.69/100,000/year). There was no cluster for which the suicide rate was stable or declining. Counties in the highest-rate cluster were more likely to have agricultural and service economies and less likely to have urban professional economies. Given the increased burden of suicide, with no clusters of counties improving over time, additional policy and prevention efforts are needed, particularly targeted at rural areas in the West.
机译:美国的自杀率在过去 15 年中有所增加,这些增加的地理差异很大;然而,很少有人尝试根据截距和斜率根据自杀率变化的幅度对县进行聚类,或确定自杀率增加的经济前兆。我们使用重要统计数据和增长混合模型,根据 2008 年至 2020 年自杀增长的幅度确定县集群,并检查与县经济和劳动力指数的关联。我们的模型确定了 5 个集群,每个集群都按截距和坡度大小区分,其中发生率最高的集群(占县的 4%)主要在西部和阿拉斯加人口稀少的地区观察到,时间序列从每 100,000 人 25.4 人自杀开始,并表现出最陡峭的坡度增加(0.69/100,000/年)。没有病例组的自杀率稳定或下降。比率最高的集群中的县更有可能拥有农业和服务经济,而不太可能拥有城市专业经济。鉴于自杀负担的增加,没有一个县集群随着时间的推移而改善,需要额外的政策和预防工作,特别是针对西部的农村地区。

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