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Family-Level Multimorbidity among Older Adults in India: Looking through a Syndemic Lens

Author

Listed:
  • Sanghamitra Pati

    (ICMR-Regional Medical Research Centre, Bhubaneswar 751023, India)

  • Abhinav Sinha

    (ICMR-Regional Medical Research Centre, Bhubaneswar 751023, India
    These authors contributed equally to this work.)

  • Shishirendu Ghosal

    (ICMR-Regional Medical Research Centre, Bhubaneswar 751023, India
    These authors contributed equally to this work.)

  • Sushmita Kerketta

    (ICMR-Regional Medical Research Centre, Bhubaneswar 751023, India)

  • John Tayu Lee

    (The Nossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia
    Public Health Policy Evaluation Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, London SW7 2AZ, UK)

  • Srikanta Kanungo

    (ICMR-Regional Medical Research Centre, Bhubaneswar 751023, India)

Abstract

Most evidence on multimorbidity is drawn from an individual level assessment despite the fact that multimorbidity is modulated by shared risk factors prevailing within the household environment. Our study reports the magnitude of family-level multimorbidity, its correlates, and healthcare expenditure among older adults using data from the Longitudinal Ageing Study in India (LASI), wave-1. LASI is a nationwide survey amongst older adults aged ≥45 years conducted in 2017–2018. We included ( n = 22,526) families defined as two or more members coresiding in the same household. We propose a new term, “family-level multimorbidity”, defined as two or more members of a family having multimorbidity. Multivariable logistic regression was used to assess correlates, expressed as adjusted odds ratios with a 95% confidence interval. Family-level multimorbidity was prevalent among 44.46% families, whereas 41.8% had conjugal multimorbidity. Amongst siblings, 42.86% reported multimorbidity and intergenerational (three generations) was 46.07%. Family-level multimorbidity was predominantly associated with the urban and affluent class. Healthcare expenditure increased with more multimorbid individuals in a family. Our findings depict family-centred interventions that may be considered to mitigate multimorbidity. Future studies should explore family-level multimorbidity to help inform programs and policies in strategising preventive as well as curative services with the family as a unit.

Suggested Citation

  • Sanghamitra Pati & Abhinav Sinha & Shishirendu Ghosal & Sushmita Kerketta & John Tayu Lee & Srikanta Kanungo, 2022. "Family-Level Multimorbidity among Older Adults in India: Looking through a Syndemic Lens," IJERPH, MDPI, vol. 19(16), pages 1-13, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:16:p:9850-:d:884615
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    References listed on IDEAS

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    1. Shobhit Srivastava & Muhammad Thalil & Rashmi Rashmi & Ronak Paul, 2021. "Association of family structure with gain and loss of household headship among older adults in India: Analysis of panel data," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-17, June.
    2. Meyler, Deanna & Stimpson, Jim P. & Peek, M. Kristen, 2007. "Health concordance within couples: A systematic review," Social Science & Medicine, Elsevier, vol. 64(11), pages 2297-2310, June.
    3. Kelsey Lucyk & Lindsay McLaren, 2017. "Taking stock of the social determinants of health: A scoping review," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-24, May.
    4. Christensen, Pia, 2004. "The health-promoting family: a conceptual framework for future research," Social Science & Medicine, Elsevier, vol. 59(2), pages 377-387, July.
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