Activity Patterns Associated With Health Status in Later Life Among Singaporeans.

Area of Science:

• Gerontology
• Sociology of Aging
• Public Health

Background:

• Traditional research often overlooks the concurrent engagement in multiple activities by older adults.
• Understanding diverse activity patterns is crucial for holistic well-being in later life.

Purpose of the Study:

• To identify distinct activity patterns among older adults in Singapore.
• To examine the demographic and health correlates associated with these identified activity patterns.

Main Methods:

• Latent class analysis was employed on a nationally representative sample of older adults.
• Demographic and health data were analyzed to correlate with identified activity classes.

Main Results:

• Four distinct activity patterns were identified: family-focused instrumental activity (FIA), social leisure activity (SLA), multidynamic activity (MDA), and passive activity (PA).
• Individuals in the MDA class reported higher mental health scores.
• Worse physical functioning and higher depression scores were associated with increased likelihood of participation in FIA and PA classes.
• Demographic factors including gender, ethnicity, marital status, education, employment, housing type, and income significantly influenced activity pattern heterogeneity.

Conclusions:

• Older adults exhibit varied activity patterns, each associated with specific demographic and health profiles.
• The findings highlight the importance of considering individual differences in activity engagement for health and social service planning.
• Interventions and programs should be tailored to address the diverse needs and correlates of different activity patterns to enhance reach and access for older adults.