ArticleCommunity dentistry and oral epidemiology2025
Modelling Predictors of Homophily on Perceived Oral Health Status Among Social Network Ties in a Population of Public Housing Residents.
Article in Community dentistry and oral epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The trial behind it
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Who cites it
2 citing papers in PubMed.
- Staying in Place, Staying Connected: Exploring Tie-Retention to Inform Network-Based Health Interventions in Public Housing Communities.Journal of urban health : bulletin of the New York Academy of Medicine · 2026Article
- Predicting social network homophily on common chronic disease risk behaviors among public housing residents.BMC public health · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
purposeIndividual behaviours are often shared within social networks (homophily), suggesting network-level interventions hold promise for health promotion. Yet, little is known about oral health homophily. This study aimed to identify individual- and network-based predictors of oral health homophily among individual's (ego) social networks of public housing residents.
methodsRespondents self-reported demographics, oral health status and associated risk behaviours (n = 277). They named social contacts (alters), reported on relationship attributes, demographics and behavioural characteristics (n = 889). Hypothesised predictors of oral health homophily included relationship attributes (e.g., contact frequency), respondent-level and shared characteristics. Oral health homophily was modelled using multilevel (hierarchical) logistic regression evaluating model attributes (AIC) to determine gains in explanatory power.
resultsRelationship strength, including high frequency of shared meals and contact, was associated with higher odds of oral health homophily (OR [95% CI]: 1.92 [1.05, 3.52] and 1.62 [1.00, 2.63], respectively). The best performing model included daily shared meals and contact, respondent age, smoking and oral health status.
conclusionsOral health homophily is predicted by relationship strength and 'excellent/very good/good' oral health. Respondents with poorer oral health and a smoking history were less homophilous in oral health. Multilevel interventions targeting oral health outcomes may benefit from accounting for social relationships.
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