ArticlePloS one2024
Does lifelong learning matter for the subjective wellbeing of the elderly? A machine learning analysis on Singapore data.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Machine learning in mental health promotion for older adults: a scoping review.BMC geriatrics · 2026Article
- Crafting the ideal multidimensional active ageing intervention with wearables for older adults: insights from a qualitative study.BMC geriatrics · 2026Article
- A Cluster Analysis of EPOCH Questionnaire Data from University Students in Sichuan, China: Exploring Group Differences in Psychological Well-Being and Demographic Factors.Healthcare (Basel, Switzerland) · 2025Article
- Level measurement, regional variations, and the dynamic evolution of active aging in China-analysis based on CHARLS tracking data.Frontiers in public health · 2024Article
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Authors and funding
2 authors.
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Abstract
Our study explores whether lifelong learning is associated with the subjective wellbeing among the elderly in Singapore. Through a primary survey of 300 individuals aged 65 and above, we develop a novel index to capture three different aspects of subjective wellbeing, which we term "Quality of Life", "Satisfaction with Life" and "Psychological Wellbeing". Utilizing both supervised and unsupervised machine learning techniques, our findings reveal that attitudes towards lifelong learning are positively associated with quality of life, while participation in class activities is positively associated with all three measures of wellbeing. Although the study does not establish causality, it highlights a connection between lifelong learning and the perceived wellbeing of the elderly, offering support for policies that encourage lifelong learning among this population.
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