死亡风险是否存在地方差异?两项纵向研究的结果。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
ACS Applied Electronic Materials Pub Date : 2024-09-01 Epub Date: 2024-03-21 DOI:10.1037/hea0001379
Olivia E Atherton
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引用次数: 0

摘要

目标:基于地方(如农村-城市)的健康差异方面的大多数研究工作都是通过人口层面的数据进行的,而人口层面的数据在推断个人和生命周期健康的因果关系方面能力有限。本研究利用长达 29 年的个人层面纵向数据,了解城乡差异如何预测全因死亡风险;这些关联是否超越社会经济地位(SES);城乡差异与死亡风险之间的关联是否因性别、社会经济地位、种族、民族和伴侣状况而异:本预先登记研究使用了两项大型美国人纵向研究(健康与退休研究和美国中年研究;总人数=55,000)的数据,这些研究人员报告了他们的社会人口特征,将他们的地址与地理指标(即农村-城市连续编码)联系起来,并从国家死亡指数中获得了有关生命状态和存活时间的数据:利用 Cox 比例危险回归模型,研究结果表明,与城市居民相比,郊区和农村居民在《健康与退休研究》中提前死亡的风险分别高出 12% 和 18%,但在《美国中年》中,农村-城市性与死亡风险之间的关联并不显著。农村人口-城市人口与死亡风险之间的纵向联系在很大程度上与社会经济地位无关。最后,只有一个统计学上显著的交互效应,这表明在不同的社会人口亚群中,农村-城市化与死亡风险之间关联的强度和方向基本相同:初步证据表明,除了其他社会人口因素外,农村-城市化是长寿的一个重要社会决定因素。未来的研究应探讨如何促进农村居民更健康长寿。(PsycInfo Database Record (c) 2024 APA, 版权所有)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Are there place-based disparities in mortality risk? Findings from two longitudinal studies.

Objective: Most work on place-based (e.g., rural-urban) health disparities has been conducted with population-level data, which is limited in its capacity for causal inferences about individuals and lifespan health. The present study leverages individual-level longitudinal data, spanning up to 29 years, to understand how rurality-urbanicity predicts risk for all-cause mortality; whether these associations hold above and beyond socioeconomic status (SES); and whether the association between rurality-urbanicity and mortality risk varies by sex, SES, race, ethnicity, and partner status.

Method: The present preregistered study uses data from two large longitudinal studies of U.S. Americans (Health and Retirement Study and Midlife in the United States; total N = ∼55,000), who reported on their sociodemographic characteristics, had their addresses linked to geographical indicators (i.e., rural-urban continuum codes), and have data from the National Death Index regarding the vital status and survival time.

Results: Using Cox proportional hazards regression models, findings showed that suburban and rural residents were at a 12% and 18% greater risk for earlier mortality compared to urban residents in Health and Retirement Study, but the associations between rurality-urbanicity and mortality risk were nonsignificant in Midlife in the United States. The longitudinal associations between rurality-urbanicity and mortality risk were largely independent of SES. Finally, there was only one statistically significant interaction effect, suggesting the strength and direction of the association between rurality-urbanicity and mortality risk was largely the same across sociodemographic subgroups.

Conclusions: There is tentative evidence suggesting that rurality-urbanicity is an important social determinant of longevity, over and above other sociodemographic factors. Future studies should explore how to promote longer and healthier lives among rural residents. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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CiteScore
7.20
自引率
4.30%
发文量
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