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Identifying county characteristics associated with resident well-being: A population based study

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NIAID Data Ecosystem2026-03-10 收录
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https://figshare.com/articles/dataset/Identifying_county_characteristics_associated_with_resident_well-being_A_population_based_study/6330113
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Background Well-being is a positively-framed, holistic assessment of health and quality of life that is associated with longevity and better health outcomes. We aimed to identify county attributes that are independently associated with a comprehensive, multi-dimensional assessment of individual well-being. Methods We performed a cross-sectional study examining associations between 77 pre-specified county attributes and a multi-dimensional assessment of individual US residents’ well-being, captured by the Gallup-Sharecare Well-Being Index. Our cohort included 338,846 survey participants, randomly sampled from 3,118 US counties or county equivalents. Findings We identified twelve county-level factors that were independently associated with individual well-being scores. Together, these twelve factors explained 91% of the variance in individual well-being scores, and they represent four conceptually distinct categories: demographic (% black); social and economic (child poverty, education level [ Conclusions Twelve factors across social and economic, clinical care, and physical environmental county-level factors explained the majority of variation in resident well-being.
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2018-05-23
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