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Association of Depression and Anxiety with Social Network Types: Results from a Community Cohort Study

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  • Saju Madavanakadu Devassy

    (Rajagiri College of Social Sciences (Autonomous), Kerala 683 104, India
    Rajagiri International Centre for Consortium Research in Social Care (ICRS), Kerala 683 104, India)

  • Lorane Scaria

    (Rajagiri College of Social Sciences (Autonomous), Kerala 683 104, India
    Rajagiri International Centre for Consortium Research in Social Care (ICRS), Kerala 683 104, India)

  • Natania Cheguvera

    (Rajagiri College of Social Sciences (Autonomous), Kerala 683 104, India
    Rajagiri International Centre for Consortium Research in Social Care (ICRS), Kerala 683 104, India)

  • Kiran Thampi

    (Rajagiri College of Social Sciences (Autonomous), Kerala 683 104, India
    Rajagiri International Centre for Consortium Research in Social Care (ICRS), Kerala 683 104, India)

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.

Suggested Citation

  • Saju Madavanakadu Devassy & Lorane Scaria & Natania Cheguvera & Kiran Thampi, 2021. "Association of Depression and Anxiety with Social Network Types: Results from a Community Cohort Study," IJERPH, MDPI, vol. 18(11), pages 1-11, June.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:11:p:6120-:d:569784
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    References listed on IDEAS

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    1. Katherine L. Fiori & Toni C. Antonucci & Kai S. Cortina, 2006. "Social Network Typologies and Mental Health Among Older Adults," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 61(1), pages 25-32.
    2. Santini, Ziggi Ivan & Koyanagi, Ai & Tyrovolas, Stefanos & Haro, Josep M. & Fiori, Katherine L. & Uwakwa, Richard & Thiyagarajan, Jotheeswaran A. & Webber, Martin & Prince, Martin & Prina, A. Matthew, 2015. "Social network typologies and mortality risk among older people in China, India, and Latin America: A 10/66 Dementia Research Group population-based cohort study," Social Science & Medicine, Elsevier, vol. 147(C), pages 134-143.
    3. Palinkas, Lawrence A. & Wingard, Deborah L. & Barrett-Connor, Elizabeth, 1990. "The biocultural context of social networks and depression among the elderly," Social Science & Medicine, Elsevier, vol. 30(4), pages 441-447, January.
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    1. Saju Madavanakadu Devassy & Lorane Scaria & Shilpa V. Yohannan & Sunirose Ishnassery Pathrose, 2023. "Protective Role of Social Networks for the Well-Being of Persons with Disabilities: Results from a State-Wide Cross-Sectional Survey in Kerala, India," IJERPH, MDPI, vol. 20(5), pages 1-11, February.

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