Predictors of health-related quality of life among rural adult residents of western Maharashtra, India

Bibliographic Data

ID22078694
AuthorsJayashree Gothankar (Bharati Vidyapeeth Deemed University, corresponding author), Sanjivani Vishwanath Patil (Bharati Vidyapeeth Deemed University), Sanjivani Patil (Department of Community Medicine, Bharati Vidyapeeth Deemed University Medical College), Medha Bargaje (0000-0002-1991-3470, Bharati Vidyapeeth Deemed University), Rupeshkumar Deshmukh (Bharati Vidyapeeth Deemed University), Ashwini Devane (Bharati Vidyapeeth Deemed University), Prakash Doke (0000-0002-3812-002X, Central Research and Publication Unit, Bharati Vidyapeeth Deemed University Medical College), PrakashP Doke (Bharati Vidyapeeth Deemed University)
Year2026
Volume14
Pages1699024-1699024
Publication date2026-02-02
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2026.1699024
PMID41705048
OpenAlexW7127150914
LanguageEN
References cited43

Introduction: Health-related quality of life (HRQoL) is a multidimensional measure encompassing physical, psychological, and social functioning. Information on its predictors will help to identify the strategies for improving the quality of life of the affected population. The objective of the study was to determine the health-related quality of life (HRQoL) of rural adults using the EQ-5D-5L index and to identify its key predictors. Methods: Primary Health Centre (PHC) in Mulshi block, Pune district, Western Maharashtra, India. All permanent residents aged 30 years or older who consented to participate were included in the study. The trained Accredited Social Health Activist (ASHA) workers administered a pretested, validated questionnaire during house-to-house visits. They collected sociodemographic, housing information, tobacco use, and morbidity patterns among these residents. Multivariate regression analysis was utilized to determine the predictors of HRQoL. Results: Of 11,348 participants enrolled (with a response rate of 93.4%), the mean EQ-5D-5L index score was 0.94 ± 0.17 (SD); 36.8% reported some to severe impairments in at least one dimension. The most affected dimensions were pain/discomfort (28.3%) and anxiety/depression (21.9%). Participants over 60 years old, illiterate, non-earning, those with chronic morbidities, and those who use unclean fuel were found to be significantly associated with impairement in EQ-5D-5L. These factors affected nearly all dimensions of the EQ-5D-5L. Conclusion: The study demonstrates that approximately one-third (36.8%) of the rural adult population experiences impairment in at least one dimension of health-related quality of life. The key factors were age above 60 years, illiteracy, non-earning status, and those with at least one chronic morbidity. These findings have significant implications for targeted public health interventions that can address modifiable risk factors and enhance chronic disease management in rural areas

Chronic disease · Population · Psychological intervention · Public health · Rural area · Rural health · Rural population · Health disparities and outcomes · Health Systems, Economic Evaluations, Quality of Life · Health, psychology, and well-being

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