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The effect of socioeconomic factors on quality of life of elderly in Jaffna district of Sri Lanka

Globally, the proportion of the elderly is increasing. In comparison to other Southeast Asian countries, Sri Lanka’s population is rapidly aging. The elderly are a vulnerable age group that requires special attention to live a long and healthy life. As, there was a scarcity of data on the elderly’s...

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Detalles Bibliográficos
Autores principales: Santhalingam, Sathees, Sivagurunathan, Sivayogan, Prathapan, Shamini, Kanagasabai, Sivapalan, Kamalarupan, Luxmi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021859/
https://www.ncbi.nlm.nih.gov/pubmed/36962835
http://dx.doi.org/10.1371/journal.pgph.0000916
Descripción
Sumario:Globally, the proportion of the elderly is increasing. In comparison to other Southeast Asian countries, Sri Lanka’s population is rapidly aging. The elderly are a vulnerable age group that requires special attention to live a long and healthy life. As, there was a scarcity of data on the elderly’s quality of life, studying the level of quality of life and the associated factors of the elderly in the Jaffna district will provide insight into how to plan interventions to improve the elderly’s overall well-being in Jaffna District and Sri Lanka as well. The study aimed to determine the quality of life of the elderly in the Jaffna district of Sri Lanka and to study the association of socioeconomic factors with the quality of life. This cross-sectional study was conducted among 813 community-dwelling elderly in the Jaffna District of Sri Lanka. Socio-economic characteristics were recorded by way of a structured questionnaire. The WHOQOL-Bref questionnaire was used to assess quality of life in four domains: physical health, psychological, social participation and the environment. The statistical Package of Social Science Software (SPSS) version 21 was used to analyse the data. Univariate, bivariate, and multivariate analyses were applied, p-value less than 0.05 was considered statistically significant. Among the four QOL domains, the mean (SD) score for an environmental domain was (12.1±2.1), (12.0±2.8) for the psychological domain, (11.8±2.3) for the physical health domain, and (10.1±3.0) for the social relationship domain. Factors significantly associated with all domains of QOL included marital status, level of education, living arrangement, employment, level of income, income adequacy and ownership of the house. Furthermore, age, sex, religion, number of children, and presence of monthly income, were significantly associated with at least one domain of QOL of the elderly. According to these findings, the QOL of the elderly in the Jaffna district of Sri Lanka seems low. And it was associated with multiple socio-economic factors. Interventions to improve the QOL of the elderly are anticipated with a higher emphasis on social relationship for the elderly.