{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,26]],"date-time":"2026-10-26T10:51:16Z","timestamp":1793011876062,"version":"4.5.0"},"reference-count":40,"publisher":"American Medical Association (AMA)","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"<jats:sec id=\"ab-zoi230897-4\"><jats:title>Importance<\/jats:title><jats:p>While the association between economic connectedness and social mobility has now been documented, the potential linkage between community-level economic connectedness and population health outcomes remains unknown.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi230897-5\"><jats:title>Objective<\/jats:title><jats:p>To examine the association between community social capital measures (defined as economic connectedness, social cohesion, and civic engagement) and population health outcomes (defined across prevalence of diabetes, hypertension, high cholesterol, kidney disease, and obesity).<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi230897-6\"><jats:title>Design, Setting, and Participants<\/jats:title><jats:p>This cross-sectional study included communities defined at the zip code tabulation area (ZCTA) level in all 50 US states. Data were collected from January 2021 to December 2022.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi230897-7\"><jats:title>Main Outcomes and Measures<\/jats:title><jats:p>Multivariable regression analyses were used to examine the association between population health outcomes and social capital. Adjusted analyses controlled for area demographic variables and county fixed effects. Heterogeneities within the associations based on the racial and ethnic makeup of communities were also examined.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi230897-8\"><jats:title>Results<\/jats:title><jats:p>In this cross-sectional study of 17\u202f800 ZCTAs, across 50 US states, mean (SD) economic connectedness was 0.88 (0.32), indicating friendship sorting on income; the mean (SD) support ratio was 0.90 (0.10), indicating that 90% of ties were supported by a common friendship tie; and the mean (SD) volunteering rate was 0.08 (0.03), indicating that 8% of individuals within a given community were members of volunteering associations. Mean (SD) ZCTA diabetes prevalence was 10.8% (2.9); mean (SD) high blood pressure prevalence was 33.2% (6.2); mean (SD) high cholesterol prevalence was 32.7% (4.2), mean (SD) kidney disease prevalence was 3.0% (0.7), and mean (SD) obesity prevalence was 33.4% (5.6). Regression analyses found that a 1% increase in community economic connectedness was associated with significant decreases in prevalence of diabetes (\u22120.63%; 95% CI, \u22120.67% to \u22120.60%); hypertension (\u22120.31%; 95% CI, \u22120.33% to \u22120.29%); high cholesterol (\u22120.14%; 95% CI, \u22120.15% to \u22120.12%); kidney disease (\u22120.48%; 95% CI, \u22120.50% to \u22120.46%); and obesity (\u22120.28%; 95% CI, \u22120.29% to \u22120.27%). Second, a 1% increase in the community support ratio was associated with significant increases in prevalence of diabetes (0.21%; 95% CI, 0.16% to 0.26%); high blood pressure (0.16%; 95% CI, 0.13% to 0.19%); high cholesterol (0.16%; 95% CI, 0.13% to 0.19%); kidney disease (0.17%; 95% CI, 0.13% to 0.20%); and obesity (0.08%; 95% CI, 0.06% to 0.10%). Third, a 1% increase in the community volunteering rate was associated with significant increases in prevalence of high blood pressure (0.02%; 95% CI, 0.01% to 0.02%); high cholesterol (0.03%; 95% CI, 0.02% to 0.03%); and kidney disease (0.02%; 95% CI, 0.01% to 0.02%). Additional analyses found that the strength of these associations varied based on the majority racial and ethnic population composition of communities.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi230897-9\"><jats:title>Conclusions and Relevance<\/jats:title><jats:p>In this study, higher economic connectedness was significantly associated with better population health outcomes; however, higher community support ratios and volunteering rates were both significantly associated with worse population health. Associations also differed by majority racial and ethnic composition of communities.<\/jats:p><\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2023.31087","type":"journal-article","created":{"date-parts":[[2023,8,25]],"date-time":"2023-08-25T15:36:13Z","timestamp":1692977773000},"page":"e2331087","source":"Crossref","is-referenced-by-count":22,"title":["Community Social Capital and Population Health Outcomes"],"prefix":"10.1001","volume":"6","author":[{"given":"Sebastian","family":"Linde","sequence":"first","affiliation":[{"name":"Medical College of Wisconsin, Department of Medicine, Division of General Internal Medicine, Milwaukee"},{"name":"Center for Advancing Population Sciences, Medical College of Wisconsin, Milwaukee"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leonard E.","family":"Egede","sequence":"additional","affiliation":[{"name":"Medical College of Wisconsin, Department of Medicine, Division of General Internal Medicine, Milwaukee"},{"name":"Center for 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