The The Factor Analysis of Quality of Life of the Ageing Population in Thailand
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Abstract
This study explores the WHOQOL-BREF factor structure, proposes an alternative model, and investigates socio-demographic determinants of Quality of Life (QoL) in Thai adults aged 60 and over. Data from the 11th Regional Health (RH) spanning 2012-2018, with 34,800 participants, were analyzed. Independent variables include age, gender, marital status, education, occupation, income source, caregiver, and medical treatment place, with QoL scores as the dependent variable. Descriptive statistics, factor analysis, and regression were employed, revealing diverse QoL aspects across physical, psychological, social, and environmental domains. Key findings include varying satisfaction levels and insights into pain frequency, mobility, and life meaning.
An alternative factor model consists of three components: environment and enjoyment, life satisfaction, and physical health, with reliability values of 0.924, 0.892, and 0.833, respectively. High socio-economic individuals generally have higher environment and sense of enjoyment scores than the overall mean, except for females aged 75-85. Among different age groups, high socio-economic individuals score lower in the 75-85 age group, while low socio-economic individuals score higher, particularly in regional health (RH) 1, 3, 4, 11, and 12. Life satisfaction is notably higher for both high and low socio-economic males, especially in RH 6-10. In the 75-85 age group, both high and low socio-economic individuals tend to have lower physical health scores, except for the low socio-economic group in RH 3-5 and RH 11-12. In conclusion, low socio-economic status correlates with distress and poor health outcomes, necessitating social and psychological support to enhance overall QoL, addressing physical and mental well-being.
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บทความที่ได้รับการตีพิมพ์จะเป็นลิขสิทธิ์ของวารสารวิชาการสังคมมนุษย์
References
Alavi, M., Visentin, D. C., Thapa, D. K., Hunt, G. E., Watson, R., & Cleary, M. (2020). Chi-square for model fit in confirmatory factor analysis. Journal of advanced nursing, 76(9), 2209-2211.
Biagini, A., Bastiani, L., & Sebastiani, L. (2022). The impact of physical activity on the quality of life of a sample of Italian people with physical disability. Frontiers in sports and active living, 4, 884074.
Carmel, S. (2019). Health and well-being in late life: Gender differences worldwide. Frontiers in medicine, 6, 218.
Cwirlej-Sozanska, A., Sozanski, B., Wisniowska-Szurlej, A., & Wilmowska-Pietruszynska, A. (2018). Quality of life and related factors among older people living in rural areas in south-eastern Poland. Annals of Agricultural and Environmental Medicine, 25(3).
Eliasi, L. G., Rasi, H. A., & Tavakoli, A. (2017). Factors affecting quality of life among elderly population in iran. Diabetes, 5, 26-30.
Faronbi, J. O., & Olaogun, A. A. (2017). The influence of caregivers’ burden on the quality of life for caregivers of older adults with chronic illness in Nigeria. International psychogeriatrics, 29(7), 1085-1093.
Galassi, F., Merizzi, A., D’Amen, B., & Santini, S. (2022). Creativity and art therapies to promote healthy aging: A scoping review. Frontiers in Psychology, 13, 906191.
Gobbens, R. J., & Remmen, R. (2019). The effects of sociodemographic factors on quality of life among people aged 50 years or older are not unequivocal: comparing SF-12, WHOQOL-BREF, and WHOQOL-OLD. Clinical interventions in aging, 231-239.
Gondodiputro, S., Hidayati, A. R., & Rahmiati, L. (2018). Gender, age, marital status, and education as predictors to quality of life in elderly: WHOQOL-BREF Indonesian Version. International Journal of Integrated Health Sciences, 6(1), 36-41.
Goretzko, D., Pham, T. T. H., & Bühner, M. (2021). Exploratory factor analysis: Current use, methodological developments and recommendations for good practice. Current psychology, 40, 3510-3521.
Hargreaves, S. M., Nakano, E. Y., Han, H., Raposo, A., Ariza-Montes, A., Vega-Muñoz, A., & Zandonadi, R. P. (2021). Quality of life of brazilian vegetarians measured by the whoqol-bref: Influence of type of diet, motivation and sociodemographic data. Nutrients, 13(8), 2648.
Lodhi, F. S., Montazeri, A., Nedjat, S., Mahmoodi, M., Farooq, U., Yaseri, M., ... & Holakouie-Naieni, K. (2019). Assessing the quality of life among Pakistani general population and their associated factors by using the World Health Organization’s quality of life instrument (WHOQOL-BREF): a population based cross-sectional study. Health and quality of life outcomes, 17, 1-17.
Ramadass, S., Rai, S. K., Gupta, S. K., Kant, S., Wadhwa, S., Sood, M., & Sreenivas, V. (2018). Prevalence of disability and its association with sociodemographic factors and quality of life in a rural adult population of northern India. National Medical Journal of India, 31(5).
Resende Rodrigues, L., Santos Tavares, D., Aparecida Dias, F., Sousa Pegorari, M., Fiori Marchiori, G., & dos Santos Tavares, D. M. (2017). QUALITY OF LIFE OF ELDERLY PEOPLE OF THE COMMUNITY AND ASSOCIATED FACTORS. Journal of Nursing UFPE/Revista de Enfermagem UFPE, 3.
Rétsági, E., Prémusz, V., Makai, A., Melczer, C., Betlehem, J., Lampek, K., ... & Hock, M. (2020). Association with subjective measured physical activity (GPAQ) and quality of life (WHOQoL-BREF) of ageing adults in Hungary, a cross-sectional study. BMC Public Health, 20, 1-11.
Rockwood, K., & Howlett, S. E. (2019). Age-related deficit accumulation and the diseases of ageing. Mechanisms of ageing and development, 180, 107-116.
Schultz, W. M., Kelli, H. M., Lisko, J. C., Varghese, T., Shen, J., Sandesara, P., ... & Sperling, L. S. (2018). Socioeconomic status and cardiovascular outcomes: challenges and interventions. Circulation, 137(20), 2166-2178.
Shrestha, N. (2021). Factor analysis as a tool for survey analysis. American Journal of Applied Mathematics and Statistics, 9(1), 4-11.
Singh, A., Palaniyandi, S., Palaniyandi, A., & Gupta, V. (2022). Health related quality of life among rural elderly using WHOQOL-BREF in the most backward district of India. Journal of Family Medicine and Primary Care, 11(3), 1162-1168.
Stathi, A., Western, M., De Koning, J., Perkin, O., & Withall, J. (2018). Implementing physical activity programmes for community-dwelling older people with early signs of physical frailty. The Palgrave handbook of ageing and physical activity promotion, 401-422.
Statista Research Department. (2023). Total population in Thailand from 2018 to 2028. Retrieved 2024, January 9, from https://www.statista.com/statistics/331889/totalpopulationof-thailand/
Tanski, W., Wójciga, J., & Jankowska-Polanska, B. (2021). Association between malnutrition and quality of life in elderly patients with rheumatoid arthritis. Nutrients, 13(4), 1259.
Vinsalia, T., & Handajani, Y. S. (2021). Life satisfaction is the most significant determinant of quality of life in the elderly. Universa Medicina, 40(1), 14-21.
World Health Organization. (2022). Ageing and health. Retrieved 2024, January 9, from https://www.who.int/news-room/fact-sheets/detail/ageing-and-health.
World Health Organization. (2023). WHOQOL: Measuring Quality of Life. Retrieved 2024, January 9, from https://www.who.int/tools/whoqol
Xiong, S. (2022). The Relationship Between Childhood Trauma, Cultural Values, Quality of Life, and Psychological Well-Being Among Hmong Adults in the United States (Doctoral dissertation, Alliant International University).
