Egocentric social network analysis of 40 Black individuals with rheumatic and musculoskeletal conditions in Boston and Chicago, using an adapted Personal Network Survey (PERSNET) to map network structure, composition, and clustering of health behaviors.
Networks had a median size of 10 members with 54% of possible ties present and an average of 5 structurally distinct connections. Boston networks were more kin-heavy (71% vs. 40% in Chicago); Chicago networks showed more balanced strong/weak ties and higher prevalence of health problems. Smoking and drinking behaviors clustered within networks at both sites, suggesting behavioral homophily or social influence.
Very small sample (n=40) with nearly all participants female (only 1 male), limiting generalizability. Study is descriptive and cross-sectional, so causal direction of behavioral clustering cannot be determined. Restricted to two U.S. cities (Boston and Chicago), which may not represent other Black communities.
Social networks of Black patients with rheumatic conditions show meaningful structural variation by city and strong clustering of smoking and drinking behaviors — features that can guide the design of peer-led, community-based health interventions. Clinicians should consider a patient's network composition and potential bridging role when planning behavioral health outreach in communities affected by medical mistrust.
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