Unknown

Dataset Information

0

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


ABSTRACT: 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.

SUBMITTER: Roy B 

PROVIDER: S-EPMC5965855 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

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]

Similar Datasets

| S-EPMC7674019 | biostudies-literature
| S-EPMC4507932 | biostudies-literature
| S-EPMC8162162 | biostudies-literature
| S-EPMC5901800 | biostudies-other
| S-EPMC7500307 | biostudies-literature
| S-EPMC8297567 | biostudies-literature
| S-EPMC8411294 | biostudies-literature
| S-EPMC8187265 | biostudies-literature
| S-EPMC5549124 | biostudies-other
| S-EPMC4388745 | biostudies-literature