ArticlePublic health reports (Washington, D.C. : 1974)
Comparative Methodologic and Practical Considerations for Life Expectancy as a Public Health Mortality Measure.
Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Global, regional, and national burden of high body-mass index-related cancers and associated preventable life expectancy loss from 1990 to 2021.Frontiers in nutrition · 2025Article
- Social Determinants of Remaining Life Expectancy at Age 60: A District-Level Analysis in Germany.International journal of environmental research and public health · 2022Article
- Study the forest, not only the trees: Environmental exposures, not genomes, generate most health disparities.Frontiers in genetics · 2022Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionLife expectancy is a public health metric used to assess mortality. We describe life expectancy calculations for US counties and present methodologic considerations compared with years of potential life lost before age 75 (YPLL-75) and premature age-adjusted mortality (PAAM), 2 commonly used length-of-life metrics.
methodsWe used death data from the National Center for Health Statistics for 2015-2017 and other health measures from the 2019 County Health Rankings & Roadmaps. We calculated life expectancy from birth at the county level using an abridged life table and the Chiang method of variance. Studentized residuals identified counties with discordant life expectancy and YPLL-75 or PAAM values. Correlations tested associations of life expectancy with key health measures (eg, smoking, child poverty, uninsured).
resultsAmong 3073 US counties, life expectancy ranged from 62.4 to 98.0 years, with a mean of 77.4 years. Life expectancy was strongly and negatively correlated with YPLL-75 ( PRACTICE IMPLICATIONS: Commonly used length-of-life metrics in population health settings are differentiated by methodological matters, such as computation complexity, data availability, and differential risk among age groups, especially among the very old or very young. The choice of metric should consider these factors, in addition to practical concerns, such as the communication needs of the audience.
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