Ontology highlight
ABSTRACT:
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.
SUBMITTER: Roy B
PROVIDER: S-EPMC5965855 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
Roy Brita B Riley Carley C Herrin Jeph J Spatz Erica S ES Arora Anita A Kell Kenneth P KP Welsh John J Rula Elizabeth Y EY Krumholz Harlan M HM
PloS one 20180523 5
<h4>Background</h4>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.<h4>Methods</h4>We performed a cross-sectional study examining associations between 77 pre-specified county attributes and a multi-dimensional assessment of individual US residents' wel ...[more]