IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v5y2015i1p2158244015571640.html
   My bibliography  Save this article

Multi-Morbidity, Functional Limitations, and Self-Rated Health Among Older Adults in India

Author

Listed:
  • Perianayagam Arokiasamy
  • Uttamacharya
  • Kshipra Jain

Abstract

This article describes the prevalence of multi-morbidity and its association with self-rated and functional health using Longitudinal Aging Study in India (LASI), Pilot survey, 2010 data, on 1,683 older adults aged 45+. The prevalence of multi-morbidity is assessed as count of self-reported chronic diseases for an older adult. Limitations in activities of daily living (ADL) are used as a measure of functional health. Zero-inflated Poisson regression is estimated to examine the covariates of multi-morbidity. Moreover, logit models are used to assess the association of multi-morbidity with functional health and self-rated health. Results depict a large prevalence of multi-morbidity, limitations in ADL and poor self-rated health with pronounced state variations. Prevalence of multimorbidity was higher at higher level of education, wealth, and caste. However, educational status of older adults is seen to be negatively associated with prevalence of ADL limitations and poor self-rated health. Household wealth and caste showed no clear association with limitations in ADL and poor self-rated health. Multi-morbid older adults were found with substantially high risk of ADL limitations and poor self-rated health.

Suggested Citation

  • Perianayagam Arokiasamy & Uttamacharya & Kshipra Jain, 2015. "Multi-Morbidity, Functional Limitations, and Self-Rated Health Among Older Adults in India," SAGE Open, , vol. 5(1), pages 21582440155, February.
    • Handle: RePEc:sae:sagope:v:5:y:2015:i:1:p:2158244015571640
    DOI: 10.1177/2158244015571640
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/2158244015571640
    Download Restriction: no
    File URL: https://libkey.io/10.1177/2158244015571640?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Rama Pal, 2012. "Measuring incidence of catastrophic out-of-pocket health expenditure: with application to India," International Journal of Health Economics and Management, Springer, vol. 12(1), pages 63-85, March.
    2. Sukumar Vellakkal & S V Subramanian & Christopher Millett & Sanjay Basu & David Stuckler & Shah Ebrahim, 2013. "Socioeconomic Inequalities in Non-Communicable Diseases Prevalence in India: Disparities between Self-Reported Diagnoses and Standardized Measures," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-12, July.
    3. Henrike Galenkamp & Arjan W. Braam & Martijn Huisman & Dorly J. H. Deeg, 2011. "Somatic Multimorbidity and Self-rated Health in the Older Population," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 66(3), pages 380-386.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rinshu Dwivedi & Jalandhar Pradhan & Ramesh Athe, 2021. "Measuring catastrophe in paying for healthcare: A comparative methodological approach by using National Sample Survey, India," International Journal of Health Planning and Management, Wiley Blackwell, vol. 36(5), pages 1887-1915, September.
    2. Navneet Manchanda & Dil Bahadur Rahut, 2021. "Inpatient Healthcare Financing Strategies: Evidence from India," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 33(6), pages 1729-1767, December.
    3. Sözmen, Kaan & Ünal, Belgin, 2016. "Explaining inequalities in Health Care Utilization among Turkish adults: Findings from Health Survey 2008," Health Policy, Elsevier, vol. 120(1), pages 100-110.
    4. Rezwanul Hasan Rana & Khorshed Alam & Jeff Gow, 2020. "The Impact of Immigration on Public and Out-of-Pocket Health Expenditure in OECD Countries," Journal of International Migration and Integration, Springer, vol. 21(2), pages 485-508, June.
    5. Sowmya Dhanaraj, 2014. "Health Shocks and Coping Strategies: State Health Insurance Scheme of Andhra Pradesh, India," WIDER Working Paper Series wp-2014-003, World Institute for Development Economic Research (UNU-WIDER).
    6. Mulcahy, Patrick & Mahal, Ajay & McPake, Barbara & Kane, Sumit & Ghosh, Prabir Kumar & Lee, John Tayu, 2021. "Is there an association between public spending on health and choice of healthcare providers across socioeconomic groups in India? - Evidence from a national sample," Social Science & Medicine, Elsevier, vol. 285(C).
    7. Saxena, Akshar & Mendenhall, Emily, 2022. "Syndemic thinking in large-scale studies: Case studies of disability, hypertension, and diabetes across income groups in India and China," Social Science & Medicine, Elsevier, vol. 295(C).
    8. Mendenhall, Emily & Omondi, Gregory Barnabas & Bosire, Edna & Isaiah, Gitonga & Musau, Abednego & Ndetei, David & Mutiso, Victoria, 2015. "Stress, diabetes, and infection: Syndemic suffering at an urban Kenyan hospital," Social Science & Medicine, Elsevier, vol. 146(C), pages 11-20.
    9. Joko Mulyanto & Dionne S. Kringos & Anton E. Kunst, 2019. "The accuracy of self-report versus objective assessment for estimating socioeconomic inequalities in disease prevalence in Indonesia," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(8), pages 1233-1241, November.
    10. Barik, Debasis & Arokiasamy, Perianayagam, 2016. "Rising Health Expenditure Due to Non-Communicable Diseases in India: An Outlook," MPRA Paper 77223, University Library of Munich, Germany, revised 15 Nov 2016.
    11. Thomas, Ranjeeta & Burger, Ronelle & Hauck, Katharina, 2018. "Richer, wiser and in better health? The socioeconomic gradient in hypertension prevalence, unawareness and control in South Africa," Social Science & Medicine, Elsevier, vol. 217(C), pages 18-30.
    12. Anubha Agarwal & Devraj Jindal & Vamadevan S Ajay & Dimple Kondal & Siddhartha Mandal & Shreeparna Ghosh & Mumtaj Ali & Kavita Singh & Mark D Huffman & Nikhil Tandon & Dorairaj Prabhakaran, 2019. "Association between socioeconomic position and cardiovascular disease risk factors in rural north India: The Solan Surveillance Study," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-16, July.
    13. Pinilla-Roncancio, M & Amaya-Lara, J. L. & Cedeño-Ocampo, G. & Rodríguez-Lesmes, P & Sepúlveda, C., 2022. "The links between catastrophic health expenditures and multidimensional poverty: An instrumental variable analysis in India," Documentos de Trabajo 20597, Universidad del Rosario.
    14. Spuling, Svenja M. & Wolff, Julia K. & Wurm, Susanne, 2017. "Response shift in self-rated health after serious health events in old age," Social Science & Medicine, Elsevier, vol. 192(C), pages 85-93.
    15. Mussa, Richard, 2015. "Partial mean and inequality effects on catastrophic health payments: methods with application to Malawi," MPRA Paper 65203, University Library of Munich, Germany.
    16. Dhanaraj, Sowmya, 2014. "Health shocks and coping strategies: State health insurance scheme of Andhra Pradesh, India," WIDER Working Paper Series 003, World Institute for Development Economic Research (UNU-WIDER).
    17. McGovern, Mark E., 2014. "Comparing the relationship between stature and later life health in six low and middle income countries," The Journal of the Economics of Ageing, Elsevier, vol. 4(C), pages 128-148.
    18. Jinkook Lee & McGovern, Mark E. & David E. Bloom & P. Arokiasamy & Arun Risbud & Jennifer O?Brien & Varsha Kale & Peifeng Hu, 2015. "Education, Gender, and State-Level Gradients in the Health of Older Indians: Evidence from Biomarker Data," Working Paper 228841, Harvard University OpenScholar.
    19. Macha, Raphael Rasiel, 2015. "Community Based Health Insurance Schemes and Protection of the Rural Poor: Empirical evidence from Tanzania," African Journal of Economic Review, African Journal of Economic Review, vol. 3(2), July.
    20. Svenja M. Spuling & Oliver Huxhold & Susanne Wurm, 2017. "Predictors of Self-Rated Health: Does Education Play a Role Above and Beyond Age?," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 72(3), pages 415-424.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:sagope:v:5:y:2015:i:1:p:2158244015571640. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.