Modelling Predictors of Homophily on Perceived Oral Health Status Among Social Network Ties in a Population of Public...

Individual 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.

Respondents 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.

Relationship 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.

Oral 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.