ArticleInternational journal of environmental research and public health2021
Association of Depression and Anxiety with Social Network Types: Results from a Community Cohort Study.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Article
- Social Network Characteristics and Depressive Symptoms of Italian Public Health Medical Residents: The Public Health Residents' Anonymous Survey in Italy (PHRASI).Behavioral sciences (Basel, Switzerland) · 2023Article
- Protective Role of Social Networks for the Well-Being of Persons with Disabilities: Results from a State-Wide Cross-Sectional Survey in Kerala, India.International journal of environmental research and public health · 2023Article
- The Mediating Role of Extra-family Social Relationship Between Personality and Depressive Symptoms Among Chinese Adults.International journal of public health · 2022Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
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Abstract
Social networks protect individuals from mental health conditions of depression and anxiety. 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 catchment areas of Kerala, India. We used cross-culturally validated assessment tools to measure depression, 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. Furthermore, 28, 26.8, 25.7, 9.8 and 9.7% of participants belonged to private restricted, locally integrated, wider community-focused, family-dependent and locally self-contained networks, respectively. 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 interventions to optimize positive health outcomes in the community cohort.
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