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

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          Abstract

          Research on activities overlooks the possibility that older adults engage in different activities contemporaneously. To address this gap, we used latent class analyses to identify activity patterns and then examined demographic and health correlates of these patterns among a nationally representative sample of older adults in Singapore. We identified four classes of activities: the family-focused instrumental activity (FIA) class, the social leisure activity (SLA) class, the multidynamic activity (MDA) class, and the passive activity (PA) class. Furthermore, the MDA members showed higher scores in their mental health. Worse physical functioning and higher depression scores also increased the likelihood of being in the FIA and PA groups. Significant demographics such as gender, ethnicity, marital status, education, employment, house type, and income were related to heterogeneity in older adults' activity patterns. Service providers might consider the impact of certain significant demographic and health-related correlates when planning programs to ensure greater reach and access.

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          Author and article information

          Journal
          J Appl Gerontol
          Journal of applied gerontology : the official journal of the Southern Gerontological Society
          SAGE Publications
          1552-4523
          0733-4648
          March 2020
          : 39
          : 3
          Affiliations
          [1 ] Dongguk University, Seoul, South Korea.
          [2 ] National University of Singapore, Singapore.
          [3 ] Adelphi University, Garden City, NY, USA.
          Article
          10.1177/0733464818784863
          29962260
          51202d5d-c81e-41b4-8159-5d25da085132
          History

          engagement in later life,health status,latent class analyses,active aging

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