ArticlePreventing chronic disease2019
Modeling the Importance of Within- and Between-County Effects in an Ecological Study of the Association Between Social Capital and Mental Distress.
Article in Preventing chronic disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Spatial temporal trends and clustering of mental health in the Great Plains and Rocky Mountains.Frontiers in public health · 2026Article
- Stability and Volatility in the Contextual Predictors of Working-Age Mortality in the United States.Journal of health and social behavior · 2025Article
- MENTAL HEALTH STATUS AND THIRD PLACES USE AMONG RURAL WORKING-AGE ADULTS IN THE UNITED STATES.Rural society · 2025Article
- Measuring network dynamics of opioid overdose deaths in the United States.Scientific reports · 2024Article
- Did States With More Social Capital Pre-pandemic Offer Mental Health Protection During the COVID-19 Pandemic? A Cross-Sectional View.Frontiers in public health · 2022Article
- The sociospatial factors of death: Analyzing effects of geospatially-distributed variables in a Bayesian mortality model for Hong Kong.PloS one · 2021Article
- Chronic Disease, the Built Environment, and Unequal Health Risks in the 500 Largest U.S. Cities.International journal of environmental research and public health · 2020Article
- Population Health, Place, and Space: Spatial Perspectives in Chronic Disease Research and Practice.Preventing chronic disease · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionLevels 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.
methodsWe used County Health Rankings and Roadmaps data for 3,106 counties of the contiguous United States. We used spatial Durbin modeling to assess the direct (within a county) and indirect (between neighboring counties) effects of social capital on mental distress. We also examined the spatial spillover effects from neighboring counties based on higher-order spatial weights matrices.
resultsCounties with the highest prevalence of mental distress were found in regional clusters where levels of social capital were low, including the Black Belt, central/southern Appalachia, on the Mississippi River, and around some Indian Reservations. Most of the association between social capital and mental distress was indirect, from the neighboring counties, although significant direct effects showed the within-county association. Models also confirmed the importance of county-level socioeconomic status.
conclusionWe found that county social capital is negatively related to mental distress. Counties are not isolated places and are often part of wider labor and housing markets, so understanding spatial dependencies is important in addressing population-level mental distress.
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