2019
DOI: 10.5888/pcd16.180491
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Modeling the Importance of Within- and Between-County Effects in an Ecological Study of the Association Between Social Capital and Mental Distress

Abstract: Introduction Levels of mental distress in the United States are a health policy concern. The association between social capital and mental distress is well documented, but evidence comes primarily from individual-level studies. Our objective was to examine this association at the county level with advanced spatial econometric methods and to explore the importance of between-county effects. Methods We used County Health Rankings and Roadmaps data for 3,106 counties of th… Show more

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Cited by 10 publications
(7 citation statements)
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“…Spatial associations between income disparity and health risks are widely understood both internationally, and for individual cities and states [14][15][16][17][18][19][20]. Local attributes play a powerful role in the model dynamics, given the assumption that socioeconomic factors vary geographically.…”
Section: Spatial Association Of Mortality Risksmentioning
confidence: 99%
See 1 more Smart Citation
“…Spatial associations between income disparity and health risks are widely understood both internationally, and for individual cities and states [14][15][16][17][18][19][20]. Local attributes play a powerful role in the model dynamics, given the assumption that socioeconomic factors vary geographically.…”
Section: Spatial Association Of Mortality Risksmentioning
confidence: 99%
“…The spatial associations between income inequality and health risks are widely understood both internationally [12][13][14][15][16], and for individual cities and states [17,18]. Although many studies have investigated income inequality [19][20][21][22] and compared that across countries [23], most studies use a spatially localized approach in their investigations.…”
Section: B Spatial Association Of Mortality Risksmentioning
confidence: 99%
“…Geospatial studies are uniquely designed to examine the contextual characteristics of communities that may affect opportunities for chronic disease prevention and treatment. The contextual characteristics addressed in this collection, Population Health, Place, and Space: Spatial Perspectives in Chronic Disease Research and Practice, range from underlying context (such as neighborhood deprivation [1], racial segregation [2], social capital [3], and resiliency [4]) to the built environment (walkability [5,6], park access [7], and healthy restaurants [8]) and environmental exposures (9). The study comparing cardiovascular disease-resilient neighborhoods with cardiovascular disease-at-risk neighborhoods examines the important, but understudied, concept of neighborhood resiliency as it affects black populations (4).…”
Section: Examining Connections Between Community-level Characteristicmentioning
confidence: 99%
“…To reflect geography, researchers aggregate measures of people, measure densities of civic organizations, or explore policy dimensions and how they affect health ( 17 ). In a county-level spatial analysis, Yang ( 18 ) found regional clustering of mental distress and a negative relationship between mental distress and social capital. In addition, they found strong spillover effects from the social capital in adjacent counties; and suggest regional collaboration to improve social capital.…”
Section: Introductionmentioning
confidence: 99%