METHODS: This is a cross-section study of a subsample of 594 participants from the original sample of 2322 Malaysian elderly respondents, who had experienced major life events. Information on socio-demographic, social network, social support, religiosity and depression were collected through an interviewer-administered questionnaire. A multiple linear regression analysis was used to determine the factors associated with depression among elderly who experienced major life events.
RESULTS: Overall prevalence of depression among subsample of Malaysian elderly facing major life events was 9.4%. The results showed that age (p≤0.01), income (p≤0.001) and social network (p≤0.05) were significant associated with depression. In other words, with increasing age, low income as well as small social network associated with high risk of developing depression among elderly who had experienced major life events CONCLUSION: Other than age and income, social network were also associated with depression among elderly respondents who had experienced major life events. Therefore, professionals who are working with elderly with major life events should seek ways to enhance elderly networking as one of the strategies to prevent depression.
AIMS: The present study aims to assess the association of demographic, cultural, and social factors with volunteering among Malaysian adults over the age of 50.
METHODS: A cross-sectional study was conducted in 2020 involving 3,034 Malaysians aged 50 years and above across Malaysia, selected using a multi-stratified random sampling technique based on National Census 2020 data. A validated survey questionnaire to determine the demographic factor (age, sex, education level, employment status, health status, physical disability, and location of residence), cultural factor (ethnicity and religion), and social factor (social support, marital status, living arrangement, mode of transportation) that influence voluntary participation was distributed and collected. The association between these factors and volunteer participation was analysed using logistic regression models to identify significant predictors of voluntary participation among Malaysian adults over the age of 50.
RESULTS: A regression model indicates that living in rural areas (OR 2.03, 95% CI 1.63-2.53), having higher education level (Tertiary level: OR 2.77, 95% CI 1.86-4.13), being employed (OR 1.31, 95% CI 1.10-1.56), differences in ethnicity background (Chinese: OR 0.58, 95% CI 0.39-0.86) and ease of transportation (Driving private transport: OR 1.26, 95% CI 1.19-1.32; Public transport: OR 1.07, 95% CI 1.00-1.154) were significantly associated with volunteering with R2 Nagelkerke of 0.147.
CONCLUSION: Recognising various factors towards community volunteering should be addressed by policymakers and volunteer organisations to increase volunteer participation from potential adults over the age of 50 in promoting healthy and active ageing.