PDF(Pubmed)
Abstract：
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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 p < 0.001); improving county prosperity between 2000-2019 was associated with greater LE gains (p < 0.001 for all).
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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 p < 0.001); improving county prosperity between 2000-2019 was associated with greater LE gains (p < 0.001 for all).
UNASSIGNED: 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.
摘要：
■为了确定2000年至2019年之间的预期寿命（LE）变化是否与种族有关，农村地位,当地经济繁荣,以及当地经济繁荣的变化，在县一级。
■在12/1/22和2/28/23之间，我们对3,123个美国县的2000年和2019年数据进行了回顾性分析。对于总计，白色,黑人人口,我们比较了城乡连续体中各县的LE变化，当地经济繁荣的连续性，以及当地经济繁荣显著改善或下降的县。
■在这两年中，总的来说,在城乡连续体中，对于所有研究的人群，LE随着从最繁荣到最不繁荣的五分之一的每个进展而下降（所有p<0.001）;在2000年至2019年之间改善县的繁荣与更大的LE收益相关（所有p<0.001）。
■在县一级，种族,rurality,和当地经济困境都与LE有关；当地经济条件的改善与加速LE有关。如果政策制定者的目标是改善人口健康，他们应该意识到投资于经济繁荣不佳的地区的健康外部性。
■在12/1/22和2/28/23之间，我们对3,123个美国县的2000年和2019年数据进行了回顾性分析。对于总计，白色,黑人人口,我们比较了城乡连续体中各县的LE变化，当地经济繁荣的连续性，以及当地经济繁荣显著改善或下降的县。
■在这两年中，总的来说,在城乡连续体中，对于所有研究的人群，LE随着从最繁荣到最不繁荣的五分之一的每个进展而下降（所有p<0.001）;在2000年至2019年之间改善县的繁荣与更大的LE收益相关（所有p<0.001）。
■在县一级，种族,rurality,和当地经济困境都与LE有关；当地经济条件的改善与加速LE有关。如果政策制定者的目标是改善人口健康，他们应该意识到投资于经济繁荣不佳的地区的健康外部性。
