论文标题

美国老年人的数据驱动的前瞻性研究

A data-driven prospective study of incident dementia among older adults in the United States

论文作者

Weiss, Jordan, Puterman, Eli, Prather, Aric A., Ware, Erin B., Rehkopf, David H.

论文摘要

我们对痴呆症的事件进行了前瞻性分析及其与65个社会人口统计学,早期,经济,健康和行为,社会和遗传危险因素的关联,该样本来自美国全国代表性的美国健康和退休研究的7,908名成年人。我们使用了传统的生存分析方法(细灰模型)和数据驱动的方法(随机生存森林,用于竞争风险),这使我们能够考虑到长达14年的随访的死亡风险。总体而言,所有群体的前五名预测因素是较低的教育,孤独感,较低的财富和收入以及降低自我报告的健康。但是,我们观察到种族/种族和性别群体痴呆症的主要预测因子的变化。我们的排名列表可能对指导未来的观察和准实验研究有用,该研究调查了研究的风险研究领域,并强调生活过程中的经济和健康状况以及其中的差异。

We conducted a prospective analysis of incident dementia and its association with 65 sociodemographic, early-life, economic, health and behavioral, social, and genetic risk factors in a sample of 7,908 adults over the age of 50 from the nationally representative US-based Health and Retirement Study. We used traditional survival analysis methods (Fine-Gray models) and a data-driven approach (random survival forests for competing risks) which allowed us to account for the competing risk of death with up to 14 years of follow-up. Overall, the top five predictors across all groups were lower education, loneliness, lower wealth and income, and lower self-reported health. However, we observed variation in the leading predictors of dementia across racial/ethnic and gender groups. Our ranked lists may be useful for guiding future observational and quasi-experimental research that investigates understudied domains of risk and emphasizes life course economic and health conditions as well as disparities therein.

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