Assessing the spatial heterogeneity in overall health across the United States using spatial regression methods: The contribution of health factors and county-level demographics. (May 2018)

• Record Type: Journal Article
• Authors: Tabb, Loni Philip; McClure, Leslie A.; Quick, Harrison; Purtle, Jonathan; Diez Roux, Ana V.
• Is Part Of: Health & place. Volume 51(2018:May)
• Page Start: 68
• Page End: 77
• Publication Date: 2018-05
• Subjects: Health -- Social aspects -- Periodicals; Health services accessibility -- Periodicals; Public health -- Periodicals; Political planning -- Periodicals; Social medicine -- Periodicals; Epidemiology -- Periodicals; Health Policy -- Periodicals; Health Services Accessibility -- Periodicals; Public Health -- Periodicals; Public Policy -- Periodicals; Sociology, Medical -- Periodicals; Épidémiologie -- Périodiques; Politique sanitaire -- Périodiques; Santé, Services de -- Accessibilité -- Périodiques; Health services accessibility; Health -- Social aspects; Political planning; Public health; Social medicine; Periodicals; 613
• DOI: 10.1016/j.healthplace.2018.02.012
• Languages: English
• ISSNs: 1353-8292

Abstract

Highlights: Spatial patterning in health outcomes and factors at the US county-level is assessed. Significant spatial heterogeneity exists in health outcomes and factors. Spatial heterogeneity is reduced in health outcomes after consideration of factors. Health outcomes and factors of neighboring counties impact a given county. Associations of health factors with health outcomes varied geographically.