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

Brita Roy | Zendy; Carley Riley | Zendy; Jeph Herrin | Zendy; Erica S. Spatz | Zendy; Anita Arora | Zendy; Kenneth P. Kell | Zendy; John Welsh | Zendy; Elizabeth Y. Rula | Zendy; Harlan M. Krumholz | Zendy

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

Author(s) -

Brita Roy,

Carley Riley,

Jeph Herrin,

Erica S. Spatz,

Anita Arora,

Kenneth P. Kell,

John Welsh,

Elizabeth Y. Rula,

Harlan M. Krumholz

Publication year - 2018

Publication title -

plos one

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.99

H-Index - 332

ISSN - 1932-6203

DOI - 10.1371/journal.pone.0196720

Subject(s) - poverty , gerontology , socioeconomic status , population , medicine , demography , public health , educational attainment , well being , environmental health , psychology , nursing , psychotherapist , sociology , economics , economic growth

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 [

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