Association of depression and anxiety with social network types: Results from a community cohort study

Abstract

Social networks protect individuals from mental health conditions of depression and anx-iety. The association between each social network type and its mental health implications in the Indian population remains unclear. The study aims to determine the association of depression and anxiety with different social network types in the participants of a community cohort. We conducted a cross-sectional household survey among people aged ≥30 years in geographically defined catch-ment areas of Kerala, India. We used cross-culturally validated assessment tools to measure depres-sion, anxiety and social networks. An educated male belonging to higher income quartiles, without any disability, within a family dependent network has lower odds of depression and anxiety. Fur-thermore, 28, 26.8, 25.7, 9.8 and 9.7% of participants belonged to private restricted, locally inte-grated, wider community-focused, family-dependent and locally self-contained networks, respec-tively. Close ties with family, neighbours, and community had significantly lower odds of anxiety and depression than private restricted networks. The clustering of people to each social network type and its associated mental health conditions can inform social network-based public health in-terventions to optimize positive health outcomes in the community cohort.