OBJECTIVE To examine mental health and community cohesion in women living in Calgary after a natural disaster considering previously collected mental health data. METHODS Data from an ongoing longitudinal cohort, the All Our Families study, were used to examine mental health and community cohesion 5 months after a major flood in Calgary, Canada. Participants who had completed a baseline quest...

The effects of community characteristics on well-being were examined among 709 African American women. Direct and moderating effects of neighborhood characteristics on distress were tested. Aggregate-level ratings of neighborhood cohesion and disorder were significantly related to distress, although the relation between cohesion and distress became nonsignificant when individual risk factors we...

Health educators have embraced empowerment as an alternative to traditional frameworks that place greater emphasis on individual health behaviors than socio-political factors that promote or constrain life-style choices. A critical element of empowerment theory for health educators is the participatory process in which people might engage to improve quality of life. As a piece of participatory ...

The psychosocial construct of “social cohesion,” understood as social behaviors indicating trust, reciprocity, and concern for the well-being of the members of one’s community, is the key determinant of health in the “income inequality and social cohesion model” model (Ref. 1, p. 211). Social cohesion is defined as participation in public affairs, civic responsibility or involvement in public l...

BACKGROUND Social cohesion, the self-reported trust and connectedness between neighbors, may affect health behaviors via psychosocial mechanisms. PURPOSE Relations between individual perceptions of social cohesion and smoking cessation were examined among 397 Black treatment-seeking smokers. METHODS Continuation ratio logit models examined the relation of social cohesion and biochemically v...

The last years, there has been a great interest in detecting overlapping communities in complex networks, which is understood as dense groups of nodes featuring a low outbound density. To date, most methods used to uncover overlapping communities stem from the field of disjoint community detection by attempting to decompose the whole network into several possibly overlapping groups of nodes. In...