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教育、认知能力与特定原因死亡率:一种结构方法。

Education, cognitive ability, and cause-specific mortality: A structural approach.

机构信息

a Netherlands Interdisciplinary Demographic Institute.

b Karolinska Institutet , Stockholm.

出版信息

Popul Stud (Camb). 2019 Jul;73(2):217-232. doi: 10.1080/00324728.2018.1493135. Epub 2018 Aug 10.

Abstract

Education is negatively associated with most major causes of death. Prior work ignores the premise that cause-specific hazards are interdependent and that both education and mortality depend on cognitive ability. We analyse Swedish men aged 18-63, focusing on months lost due to specific causes-which solves the interdependence problem-and use a structural model that accounts for confounding due to cognitive ability. In a standard Cox model controlling for Intelligence Quotient, improving education is associated with large decreases in mortality for major causes of death. In the structural model, improving education is associated with a small decrease in months lost for most causes and education levels. Among the least educated, however, improving education strongly reduces the months lost, mainly those lost from external causes, such as accidents and suicide. Results suggest that conventional analysis of education and mortality may be biased, even if accounting for observed cognition.

摘要

教育与大多数主要死因呈负相关。先前的研究忽略了一个前提,即特定原因的危害是相互依存的,教育和死亡率都取决于认知能力。我们分析了瑞典 18-63 岁的男性,重点关注因特定原因而丧失的月份——这解决了相互依存的问题,并使用了一种结构模型,该模型考虑了因认知能力而导致的混杂因素。在一个标准的 Cox 模型中,控制智商,提高教育水平与主要死因的死亡率大幅下降有关。在结构模型中,提高教育水平与大多数原因和教育水平的丧失月数减少相关。然而,在受教育程度最低的人群中,提高教育水平会大大减少丧失的月份,主要是因外部原因(如事故和自杀)而丧失的月份。研究结果表明,即使考虑到观察到的认知能力,教育和死亡率的常规分析也可能存在偏差。

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