Intergenerational Social Networks and Health Behaviors Among Children Living in Public Housing.

OBJECTIVES: In a survey of families living in public housing, we investigated whether caretakers' social networks are linked with children's health status. METHODS: In 2011, 209 children and their caretakers living in public housing in suburban Montgomery County, Maryland, were surveyed regarding their health and social networks. We used logistic regression models to examine the associations between the perceived health composition of caretaker social networks and corresponding child health characteristics (e.g., exercise, diet). RESULTS: With each 10% increase in the proportion of the caretaker's social network that exercised regularly, the child's odds of exercising increased by 34% (adjusted odds ratio = 1.34; 95% confidence interval = 1.07, 1.69) after the caretaker's own exercise behavior and the composition of the child's peer network had been taken into account. Although children's overweight or obese status was associated with caretakers' social networks, the results were no longer significant after adjustment for caretakers' own weight status. CONCLUSIONS: We found that caretaker social networks are independently associated with certain aspects of child health, suggesting the importance of the broader social environment for low-income children's health.

The impact of public housing on social networks: a natural experiment.

OBJECTIVES: We assessed whether 2 types of public housing-scattered among market-rate housing developments or clustered in small public housing projects-were associated with the perceived health and health behaviors of residents' social networks. METHODS: Leveraging a natural experiment in Montgomery County, Maryland, in which residents were randomly assigned to different types of public housing, we surveyed 453 heads of household in 2011. We asked residents about their own health as well as the perceived health of their network members, including their neighbors. RESULTS: Residents in scattered-site public housing perceived that their neighbors were more likely to exercise than residents of clustered public housing (24.7% of network members vs 14.0%; P < .001). There were no significant differences in the proportion of network members who were perceived to have major health problems, depressed mood, poor diet, or obesity. Having more network members who smoked was associated with a significantly higher likelihood of smoking. CONCLUSIONS: Different types of public housing have a modest impact on the health composition of one's social network, suggesting the importance of housing policy for health.