Evidence map›Paper›PMID 40028000›Full record

ArticlePreventive medicine reports2025

County-level association between modifiable health behaviors and premature mortality in the United States.

Abdul Mannan Khan Minhas, Kashvi Gupta, Erin D Michos, Andrew J Sauer, Laurence Sperling, Vijay Nambi, Layla Abushamat, Christie M Ballantyne, Dmitry Abramov

Abstract read
In one paragraph

Article in Preventive medicine reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Abdul Mannan Khan MinhasDepartment of Medicine, Baylor College of Medicine, Houston, TX, United States.
Kashvi GuptaDepartment of Medicine, University of Missouri Kansas City, MO, United States.
Erin D MichosDivision of Cardiovascular Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Andrew J SauerDepartment of Medicine, Baylor College of Medicine, Houston, TX, United States.
Laurence SperlingDivision of Cardiovascular Medicine, Emory Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, GA, United States.
Vijay NambiDepartment of Medicine, Baylor College of Medicine, Houston, TX, United States.
Layla AbushamatDepartment of Medicine, Baylor College of Medicine, Houston, TX, United States.
Christie M BallantyneDepartment of Medicine, Baylor College of Medicine, Houston, TX, United States.
Dmitry AbramovDivision of Cardiovascular Medicine, Loma Linda University Medical Center, Loma Linda, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveUnhealthy lifestyle habits are associated with increased morbidity and mortality. This study aims to examine the county-level association of physical inactivity, insufficient sleep, and current smoking, three elements of the American Heart Association's Life's Essential 8, with premature mortality.

methodsPremature country-level age-adjusted death rate (AADR) in 2018-2020 were obtained from National Center for Health Statistics Mortality Files. County-level data were included from County Health Rankings data set for 2022. Counties were divided into deciles based on the percentage of adults with physical inactivity, insufficient sleep, and current smoking (separate decile for each metric) from Behavioral Risk Factor Surveillance System in 2019. Multivariable linear regression were used to evaluate the association of premature AADR with physical inactivity, insufficient sleep, and current smoking (lowest deciles as reference), controlling for median county income as a social determinant of health.

resultsA total of 3082 counties were included in the analysis. Mean physical inactivity, current smoking, and insufficient sleep ranged from 20.7 % to 41 %, 13.4 % to 28.2 %, and 30.3 % to 43.7 % from 1st to 10th decile, respectively. There was a stepwise increase in premature mortality in each progressive decile with an increase in county-level physical inactivity, insufficient sleep, and current smoking, which remained significant in the adjusted analyses.

conclusionWe demonstrate an independent association of county-level physical inactivity, insufficient sleep, and current smoking with premature mortality. Further research and public health efforts are needed to understand and mitigate these risk factors at the county level to improve health outcomes.

Indexed as

Physical inactivityPremature mortalitySleepSmoking

Identifiers

PMID40028000
PMCPMC11871485

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.