ArticleJournal of family medicine and primary care2025
Validation of the Hindi version of the MOS SF-36 health survey for evaluating quality of life among the elderly population in North India.
Article in Journal of family medicine and primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Context: India's aging population, expected to increase significantly by 2050, necessitates a focus on the quality of life (QoL) among the elderly. QoL, encompassing physical, mental, and social well-being, is essential for the elderly, given the challenges they face. The Medical Outcomes Study (MOS) Short Form Health Survey (SF-36) is a widely used tool for measuring health-related quality of life (HRQoL) but requires validation for the geriatric population in North India. Aims: This study aims to validate the Hindi version of the SF-36 to assess the QoL among the elderly in the North India. Settings and Design: A cross-sectional study was conducted in Lucknow district. Methods and Material: A cross-sectional study was conducted in Lucknow, selecting 180 participants aged 60 and above via simple random sampling. The RAND 36-Item Health Survey was translated into Hindi, back-translated, and culturally adapted for North India. Statistical Analysis Used: Data were analysed using SPSS 26.0 and SPSS Amos, with structural equation modelling to validate the questionnaire. Internal consistency was assessed using Cronbach's alpha, and reliability was examined through split-half reliability. Factor analysis was used to evaluate structural validity. Known-group comparisons analysed the questionnaire's ability to differentiate between various demographic groups. Results: Hindi version of SF 36 questionnaire showed strong reliability, with Cronbach's alpha coefficients for all subscales above 0.7, and a split-half reliability coefficient of 0.806. Factor analysis led to the removal of 11 items, resulting in 25 items that formed 6 common components, explaining 72.34% of the total variance. Confirmatory Factor Analysis (CFA) indicated good model fit, with significant correlations between subscales. Known-group comparisons demonstrated that advanced age, anaemia, urban residence, and female gender were associated with lower SF-36 scores, validating the survey's discriminative abilities. Conclusions: The Hindi version of SF-36 was thus confirmed as a reliable and valid tool for assessing the QoL of the geriatric population in North India.
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