ArticlePreventing chronic disease2019
Identifying County-Level All-Cause Mortality Rate Trajectories and Their Spatial Distribution Across the United States.
Article in Preventing chronic disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Observational
- Diverging Neisseria gonorrhoeae Morbidity in Non-Hispanic Black and White Females: Application of Group-Based Trajectory Modeling to Trends in County-Level Morbidity 2003-2018.Journal of urban health : bulletin of the New York Academy of Medicine · 2023Article
- Mortality during Resource Booms and Busts.Journal of environmental economics and management · 2022Article
- County-Level Life Expectancy Change: A Novel Metric for Monitoring Public Health.International journal of environmental research and public health · 2022Article
- Association Between Crowdsourced Health Care Facility Ratings and Mortality in US Counties.JAMA network open · 2021Article
- Modeling Community Health with Areal Data: Bayesian Inference with Survey Standard Errors and Spatial Structure.International journal of environmental research and public health · 2021Article
- Comparison of All-Cause Mortality Rates and Inequities Between Black and White Populations Across the 30 Most Populous US Cities.JAMA network open · 2021Article
- Population Health, Place, and Space: Spatial Perspectives in Chronic Disease Research and Practice.Preventing chronic disease · 2019Article
- Identifying Long Term All-Cause Mortality Trends in US Counties from 2011 to 2020 and Associated Spatio-Temporal Patterns in Primary Care Physicians Supply.Journal of primary care & community healthArticle
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Authors and funding
6 authors.
Funding
Abstract
introductionAll-cause mortality in the United States declined from 1935 through 2014, with a recent uptick in 2015. This national trend is composed of disparate local trends. We identified distinct groups of all-cause mortality rate trajectories by grouping US counties with similar temporal trajectories.
methodsWe used all-cause mortality rates in all US counties for 1999 through 2016 and estimated discrete mixture models by using county level mortality rates. Proc Traj in SAS was used to detect how county trajectories clustered into groups on the basis of similar intercepts, slopes, and higher order terms. Models with increasing numbers of groups were assessed on the basis of model fit. We created county-level maps of mortality trajectory groups by using ArcGIS.
resultsEight unique trajectory groups were detected among 3,091 counties. The average mortality rate in the most favorable trajectory group declined 29.4%, from 592.3 deaths per 100,000 in 1999 to 418.2 in 2016. The least favorable mortality trajectory group declined 3.4% over the period, from 1,280.3 deaths per 100,000 to 1,236.9. We saw significant differences in the demographic and socioeconomic profiles and geographic patterns across the trajectory categories, with favorable mortality trajectories in the Northeast, Midwest, and on the West Coast and unfavorable trajectories concentrated in the Southeast.
conclusionsCounty-level disparities in all-cause mortality rates widened over the past 18 years. Further investigation of the determinants of the trajectory groupings and the geographic outliers identified by our research could inform interventions to achieve equitable distribution of county mortality rates.
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