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Unpacking Self-Rated Health and Quality of Life in Older Adults and Elderly in India: A Structural Equation Modelling Approach

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  • Siddhivinayak Hirve
  • Johan Oud
  • Somnath Sambhudas
  • Sanjay Juvekar
  • Yulia Blomstedt
  • Stephen Tollman
  • Stig Wall
  • Nawi Ng

Abstract

The Study on global AGEing and adult health (SAGE) aims at improving empirical understanding of the health and well-being of older adults in low- and middle-income countries. A total of 321 adults aged 50 years and older were interviewed in rural Pune district, India, in 2007. We used Structural Equation Modelling (SEM) to examine the pathways through which social factors, functional disability, risk behaviours, and chronic disease experience influence self-rated health (SRH) and quality of life (QOL) amongst older adults in India. Both SRH and QOL worsened with increased age (indirect effect) and limitations in functional ability (direct effect). QOL, socio-economic status (SES), and social networking had no significant effect on SRH. Smoking was associated with the presence of at least one chronic illness, but this did not have a statistically significant effect on SRH. Higher social networking was seen amongst the better educated and those with regular income, which in turn positively affected the QOL rating. QOL had a direct, but statistically not significant, effect on SRH. In conclusion, the indirect effects of age on SRH mediated through functional ability, and the effects of SES on QOL mediated through social networking, provide new understanding of how age and socio-economic status affect SRH and QOL. By allowing for measurement errors, solving for collinearity in predictor variables by integrating them into measurement models, and specifying causal dependencies between the underlying latent constructs, SEM provides a strong link between theory and empirics. Copyright Springer Science+Business Media Dordrecht 2014

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  • Siddhivinayak Hirve & Johan Oud & Somnath Sambhudas & Sanjay Juvekar & Yulia Blomstedt & Stephen Tollman & Stig Wall & Nawi Ng, 2014. "Unpacking Self-Rated Health and Quality of Life in Older Adults and Elderly in India: A Structural Equation Modelling Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 117(1), pages 105-119, May.
    • Handle: RePEc:spr:soinre:v:117:y:2014:i:1:p:105-119
    DOI: 10.1007/s11205-013-0334-7
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    2. Natalia Golini & Viviana Egidi, 2016. "The Latent Dimensions of Poor Self-Rated Health: How Chronic Diseases, Functional and Emotional Dimensions Interact Influencing Self-Rated Health in Italian Elderly," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(1), pages 321-339, August.
    3. Y Selvamani & Pushpendra Singh, 2018. "Socioeconomic patterns of underweight and its association with self-rated health, cognition and quality of life among older adults in India," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-17, March.
    4. Ana Maseda & Laura Lorenzo-López & Trinidad Lorenzo & Clara Diego-Diez & Begoña Alonso-Búa & Rocío López-López & José C. Millán-Calenti, 2018. "Determinants of Quality of Life in Pre-Frail Older Adults According to Phenotypic Criteria: the VERISAUDE Study," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 13(1), pages 119-136, March.
    5. Lorena Patricia Gallardo-Peralta & Esteban Sanchez-Moreno & Soledad Herrera, 2022. "Aging and Family Relationships among Aymara, Mapuche and Non-Indigenous People: Exploring How Social Support, Family Functioning, and Self-Perceived Health Are Related to Quality of Life," IJERPH, MDPI, vol. 19(15), pages 1-17, July.
    6. Na Li & Mang He, 2023. "Intergenerational Support and Subjective Wellbeing of the Elderly in Mainland China: The Role of Perceived Health," SAGE Open, , vol. 13(1), pages 21582440231, March.
    7. Xin Xu & Yuan Zhao & Siyou Xia & Panpan Cui & Wenmin Tang & Xiaoliang Hu & Bei Wu, 2022. "Quality of Life and Its Influencing Factors Among Centenarians in Nanjing, China: A Cross-Sectional Study," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 160(2), pages 735-755, April.

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