Background
Aging and its consequences are receiving considerable global attention in developed and developing countries. The health-related quality of life (HRQoL) of elderly individuals is crucial for public health and social welfare. Despite advances in understanding the health status of the elderly population in Tibet, a region located on China’s southwest border, a significant research gap remains regarding their HRQoL.
Methods
We conducted a cross-sectional study in Tibet, China, in 2018, which thoroughly examined HRQoL and its determinants in individuals aged 60 and above. The EQ-5D-VAS instrument, consisting of two standardized scales (EQ-5D-3L and EQ-VAS), was utilized to measure HRQoL. We based the selection of potential determinants on a novel health ecological model encompassing various environmental and personal factors. We employed the Least Absolute Shrinkage and Selection Operator regression to systematically pinpoint key predictive factors for dimensionality reduction. The Tobit regression analysis further elucidated the relationship between these factors and the EQ-VAS and EQ-5D-index scores.
Results
Our study encompassed 1604 elderly participants. They presented varying severity levels across all five dimensions of the EQ-5D-3L. The most commonly observed issue was pain/discomfort, with a prevalence of 40.27%. The average EQ-VAS score was 56.15 (SD=21.15), and the mean EQ-5D-index score was 0.78 (SD=0.25). Our multivariate analysis revealed that determinants such as age, sex, number of chronic illnesses, vision problems, hearing problems, physical activity, employment status, social participation, place of residence, and insurance type were significantly associated with HRQoL.
Conclusion
The HRQoL of Tibet’s elderly population presents significant concerns, especially given the region’s challenging natural conditions. This underscores the urgent need for focused policy interventions at the socio-economic strata to extend vital support and aid.