Journal
PLOS ONE
Volume 13, Issue 5, Pages -Publisher
PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0196720
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Funding
- Agency for Healthcare Research and Quality [K12HS023000]
- Robert Wood Johnson Foundation
- Veterans Administration
- Yale Center for Clinical Investigation
- Healthways, Inc.
- Centers for Medicare & Medicaid Services
- Medtronic
- Food and Drug Administration
- UnitedHealth
- IBM Watson Health Life Sciences Board
- Element Science
- Aetna
- Institute for Healthcare Improvement
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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' wellbeing, 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 [
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