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Where and When: Sharpening the lens on geographic disparities in mortality

机译:在哪里以及何时:锐化死亡率的地理差异镜头

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Life course theories suggest that geographic disparities in mortality may reflect a history of place-based exposures rather than (or in addition to) contemporaneous exposures; yet, few studies examined early life place exposures and later life mortality in the US due to data limitations. The aim of this study is to assess and compare the importance of state of birth and state of residence in predicting mortality for adults over age 50 in the US. Using nationally representative data of nearly 100,000 adults over age 50 from the National Longitudinal Mortality Study, we estimated individual mortality risk using multi-level logistic regression with state of birth and state of residence as second-level random effects. We assessed whether state of residence and state of birth contributed to the variation in adult mortality. We also decomposed state-of-residence random effects to compare “movers” and “stayers.” Our results indicate that state of birth is a stronger predictor of age-, race/ethnicity- and sex-adjusted mortality in the US than state of residence at the time of death. The adult mortality profiles of many states are substantially impacted by the composition of “movers.” Failing to account for residential mobility has clouded our understanding of the patterns and causes of geographic differences in adult mortality. Measures of geographic residence across the life course can improve models of adult mortality in the US and inform interventions to address geographic disparities in longevity.
机译:生命课程理论表明,死亡率的地理差异可能反映了基于地方的曝光的历史,而不是(或除此)同期曝光;然而,由于数据限制,很少有研究检测过早期的生活曝光和后期生活死亡率。本研究的目的是评估和比较出生状态和居住状态的重要性,以预测美国50岁以上成人的死亡率。利用国家纵向死亡率研究的50岁以上的全国代表性数据超过50岁以上的成年人,我们利用多级逻辑回归与出生状态和居住地作为第二级随机效应,估计了个体死亡率风险。我们评估了居住状态和出生状态是否有助于成人死亡率的变化。我们还分解了居住国的随机效果,以比较“搬运工”和“停留者”。我们的结果表明,出生状态是美国年龄,种族/种族和性别调整后死亡率的更强的预测因素,而不是死亡时期的居住国。许多州的成年死亡率概况基本上受“搬运工”的构成影响。未能解释住宅流动性使我们对成人死亡率的地理差异的模式和原因进行了覆盖。寿命课程的地理居住措施可以改善美国成人死亡率的模型,并告知干预措施,以解决长寿的地理差异。

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