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Sociodemographic predictors of elderly's psychological well-being in Malaysia


Citation

Momtaz, Yadollah Abolfathi and Ibrahim, Rahimah and Tengku Abdul Hamid, Tengku Aizan and Yahaya, Nurizan (2011) Sociodemographic predictors of elderly's psychological well-being in Malaysia. Aging & Mental Health, 15 (4). pp. 437-445. ISSN 1360-7863; ESSN: 1364-6915

Abstract

Background and objective: Psychological well-being as one of the most important indicators of successful aging has received substantial attention in the gerontological literature. Prior studies show that sociodemographic factors influencing elderly's psychological well-being are multiple and differ across cultures. The aim of this study was to identify significant sociodemographic predictors of psychological well-being among Malay elders. Methodology: The study included 1415 older Malays (60–100 years, 722 women), randomly selected through a multistage stratified random method from Peninsular Malaysia. WHO-Five well-being index was used to measure psychological well-being. Data analysis was conducted using the Statistical Package for Social Sciences (SPSS) version 13.0. Results: Using multiple regression analysis a significant model emerged (F(7, 1407) = 20.14, p ≤ 0.001), where age, sex, marital status, and household income were significant predictor variables of psychological well-being among Malay elders. However, level of education, employment status, and place of residence failed to predict psychological well-being. Conclusion: This study showed that the oldest old, elderly women, unmarried, and the poor elderly people are at risk for experiencing low psychological well-being. Therefore, they need special attention from family, policy makers, and those who work with elderly people.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Human Ecology
Institute of Gerontology
DOI Number: https://doi.org/10.1080/13607863.2010.536141
Publisher: Routledge
Keywords: Psychological well-being; Socioeconomic status; Sex; Older Malaysians; Multiple regression analysis
Depositing User: Nabilah Mustapa
Date Deposited: 27 Jul 2015 01:27
Last Modified: 20 Oct 2015 04:03
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1080/13607863.2010.536141
URI: http://psasir.upm.edu.my/id/eprint/22607
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