Microsoft, AI for Good Lab, Redmond, WA, United States.
School of Global Public Health, New York University, New York, NY, United States.
Int J Public Health. 2024 Jul 26;69:1607295. doi: 10.3389/ijph.2024.1607295. eCollection 2024.
To determine whether life expectancy (LE) changes between 2000 and 2019 were associated with race, rural status, local economic prosperity, and changes in local economic prosperity, at the county level.
Between 12/1/22 and 2/28/23, we conducted a retrospective analysis of 2000 and 2019 data from 3,123 United States counties. For Total, White, and Black populations, we compared LE changes for counties across the rural-urban continuum, the local economic prosperity continuum, and for counties in which local economic prosperity dramatically improved or declined.
In both years, overall, across the rural-urban continuum, and for all studied populations, LE decreased with each progression from the most to least prosperous quintile (all < 0.001); improving county prosperity between 2000-2019 was associated with greater LE gains ( < 0.001 for all).
At the county level, race, rurality, and local economic distress were all associated with LE; improvements in local economic conditions were associated with accelerated LE. Policymakers should appreciate the health externalities of investing in areas experiencing poor economic prosperity if their goal is to improve population health.
在县一级,确定 2000 年至 2019 年之间的预期寿命 (LE) 变化是否与种族、农村地位、当地经济繁荣以及当地经济繁荣的变化有关。
在 2022 年 12 月 1 日至 2023 年 2 月 28 日期间,我们对来自 3123 个美国县的 2000 年和 2019 年的数据进行了回顾性分析。对于总人口、白人和黑人,我们比较了农村-城市连续体、当地经济繁荣连续体以及当地经济繁荣显著改善或下降的县的 LE 变化。
在这两年中,整体而言、在农村-城市连续体上、以及对于所有研究人群,LE 随着从最繁荣到最不繁荣的五分位数的每一次进展而降低(均<0.001);2000 年至 2019 年期间县的繁荣状况改善与 LE 增益增加相关(所有<0.001)。
在县一级,种族、农村性和当地经济困境都与 LE 相关;当地经济条件的改善与 LE 的加速增长相关。如果政策制定者的目标是改善人口健康,那么他们应该意识到在经济贫困地区投资会带来健康方面的外部性。