ArticleSexually transmitted diseases2020
County-Level Social Capital and Bacterial Sexually Transmitted Infections in the United States.
Article in Sexually transmitted diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
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Who cites it
4 citing papers in PubMed.
- Community Social Capital, Racial Diversity, and Philanthropic Resource Mobilization in the Time of a Pandemic.City & community · 2023Article
- Racial disparity in ART adherence is closed in states with high social trust: Results from the Medical Monitoring Project (MMP), 2015.Journal of community psychology · 2022Article
- Spatial Heterogeneity and Its Influencing Factors of Syphilis in Ningxia, Northwest China, from 2004 to 2017: A Spatial Analysis.International journal of environmental research and public health · 2022Article
- A Scoping Review and Assessment of the Area-Level Composite Measures That Estimate Social Determinants of Health Across the United States.Public health reports (Washington, D.C. : 1974)Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundThe association between county-level social capital indices (SCIs) and the 3 most commonly reported sexually transmitted infections (STIs) in the United States is lacking. In this study, we determined and examined the association between 2 recently developed county-level SCIs (ie, Penn State Social Capital Index [PSSCI] vs United States Congress Social Capital Index [USCSCI]) and the 3 most commonly reported bacterial STIs (chlamydia, gonorrhea, and syphilis) using spatial and nonspatial regression techniques.
methodsWe assembled and analyzed multiyear (2012-2016) cross-sectional data on STIs and 2 SCIs (PSSCI vs USCSCI) on counties in all 48 contiguous states. We explored 2 nonspatial regression models (univariate and multiple generalized linear models) and 3 spatial regression models (spatial lag model, spatial error model, and the spatial autoregressive moving average model) for comparison.
resultsWithout exception, all the SCIs were negatively associated with all 3 STI morbidities. A 1-unit increase in the SCIs was associated with at least 9% (P < 0.001) decrease in each STI. Our test of the magnitude of the estimated associations indicated that the USCSCI was at least 2 times higher than the estimates for the PSSCI for all STIs (highest P value = 0.01).
conclusionsOverall, our results highlight the potential benefits of applying/incorporating social capital concepts to STI control and prevention efforts. In addition, our results suggest that for the purpose of planning, designing, and implementing effective STI control and prevention interventions/programs, understanding the communities' associational life (as indicated by the factors/data used to develop the USCSCI) may be important.
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