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县级环境特征与预期寿命差距。

County-Level Contextual Characteristics and Disparities in Life Expectancy.

机构信息

Clinical Epidemiology Center, Research and Education Service, VA Saint Louis Health Care System, Saint Louis, MO; Veterans Research & Education Foundation of Saint Louis, Saint Louis, MO; Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO.

Clinical Epidemiology Center, Research and Education Service, VA Saint Louis Health Care System, Saint Louis, MO; Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, Saint Louis, MO.

出版信息

Mayo Clin Proc. 2021 Jan;96(1):92-104. doi: 10.1016/j.mayocp.2020.04.043.

Abstract

OBJECTIVE

To estimate the contribution of county-level contextual factors to differences in life expectancy in the United States.

METHODS

We used a counterfactual approach to estimate the years of life expectancy lost associated with 45 potentially modifiable county-level contextual characteristics in the United States in the year 2016. Contextual data and life expectancy data were obtained from the County Health Ranking Project and the U.S. Small-Area Life Expectancy Estimates Project, respectively.

RESULTS

Median census-tract-level life expectancy was 78.90 (interquartile range, 76.30-81.00) years, and the range across census tracts spanned 41.20 years. Large variations in life expectancy existed within and between states and within and between counties; the gap between counties was 20.30 years and gaps within counties ranged from 0 to 34.60 years. An array of 45 county-level factors was associated with 4.30 years of life expectancy loss. County-level adult smoking, food insecurity, adult obesity, physical inactivity, college education, and median household income were associated with 1.24-, 0.89-, 0.58-, 0.35-, 0.33-, and 0.14-year losses in life expectancy, respectively; and altogether were associated with a 3.53-year loss in life expectancy. The contribution of contextual factors to years of life expectancy lost varied among states and was more pronounced in states with lower life expectancy and in areas of increased socioeconomic deprivation and increased percentage of Black race.

CONCLUSION

Substantial geographic variation in life expectancy was observed. Six county-level contextual factors were associated with a 3.53-year loss in life expectancy. The findings may inform and help prioritize approaches to reduce inequalities in life expectancy in the United States.

摘要

目的

估计县级背景因素对美国预期寿命差异的贡献。

方法

我们使用反事实方法估计了 2016 年美国 45 个潜在可改变的县级背景特征与预期寿命损失相关的年数。分别从县卫生排名项目和美国小区域预期寿命估计项目中获得了背景数据和预期寿命数据。

结果

中位数普查区水平预期寿命为 78.90 岁(四分位距,76.30-81.00 岁),普查区之间的范围跨度为 41.20 岁。预期寿命在州内和州之间、县内和县之间存在很大差异;县与县之间的差距为 20.30 岁,县内差距范围从 0 到 34.60 岁。45 个县级因素与 4.30 年的预期寿命损失有关。县级成年人吸烟、食物不安全、成年人肥胖、身体不活动、大学教育和家庭中位数收入分别与 1.24 年、0.89 年、0.58 年、0.35 年、0.33 年和 0.14 年的预期寿命损失相关;总共与 3.53 年的预期寿命损失相关。背景因素对预期寿命损失的贡献在各州之间存在差异,在预期寿命较低的州以及在社会经济剥夺程度增加和黑人比例增加的地区更为明显。

结论

观察到预期寿命存在显著的地理差异。六个县级背景因素与 3.53 年的预期寿命损失相关。这些发现可能为减少美国预期寿命不平等提供信息并帮助确定优先事项。

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