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Influence Factors and Life Satisfaction of Types of Older Adults’ Daily Time Use Using Latent Profile Analysis
The purpose of this study is to divide the daily time use of older adults into types, examine the influence factors of each type, and verify the difference in life satisfaction between types. We used a total of six variables, three variables (essential, compulsory, and leisure time use) for weekdays...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7742659/ http://dx.doi.org/10.1093/geroni/igaa057.1607 |
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author | Chae, Joosuk Nam, Seok In Won, Haesol Lee, Juyoung |
author_facet | Chae, Joosuk Nam, Seok In Won, Haesol Lee, Juyoung |
author_sort | Chae, Joosuk |
collection | PubMed |
description | The purpose of this study is to divide the daily time use of older adults into types, examine the influence factors of each type, and verify the difference in life satisfaction between types. We used a total of six variables, three variables (essential, compulsory, and leisure time use) for weekdays and the same three variables for weekends. We used data from the sixth wave of the Korea Retirement and Income Study (n=3,993). Latent Profile Analysis was used to classify the older adults’ (aged 65 and over) types of daily time use, resulting in a division into three types: essential activity-centered (16%), leisure-centered (26%), and balanced (58%). The weekend and weekday activities of each group did not differ. Compared with the balanced type, the significant factors of the essential activity-centered type were age (p<.01), work status (p<.001), and chronic disease (p<.001). In addition, the significant factors of the leisure-centered type were age (p<.05), gender (p<.05), subjective health (p<.001), work status (p<.001), and chronic disease (p<.001). Life satisfaction was lowest in the essential activity-centered type and highest in the balanced type; differences between the groups were identified (p<.000). Based on the results, we discuss practical interventions and the development of psychosocial programs for older adults. For the essential activity-centered type, living support is required because they spend more time sleeping and eating. In addition, we proposed the preparation of leisure programs applicable to the needs of older adults’ of the leisure-centered type, since their life satisfaction was lower than the balanced type. |
format | Online Article Text |
id | pubmed-7742659 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77426592020-12-21 Influence Factors and Life Satisfaction of Types of Older Adults’ Daily Time Use Using Latent Profile Analysis Chae, Joosuk Nam, Seok In Won, Haesol Lee, Juyoung Innov Aging Abstracts The purpose of this study is to divide the daily time use of older adults into types, examine the influence factors of each type, and verify the difference in life satisfaction between types. We used a total of six variables, three variables (essential, compulsory, and leisure time use) for weekdays and the same three variables for weekends. We used data from the sixth wave of the Korea Retirement and Income Study (n=3,993). Latent Profile Analysis was used to classify the older adults’ (aged 65 and over) types of daily time use, resulting in a division into three types: essential activity-centered (16%), leisure-centered (26%), and balanced (58%). The weekend and weekday activities of each group did not differ. Compared with the balanced type, the significant factors of the essential activity-centered type were age (p<.01), work status (p<.001), and chronic disease (p<.001). In addition, the significant factors of the leisure-centered type were age (p<.05), gender (p<.05), subjective health (p<.001), work status (p<.001), and chronic disease (p<.001). Life satisfaction was lowest in the essential activity-centered type and highest in the balanced type; differences between the groups were identified (p<.000). Based on the results, we discuss practical interventions and the development of psychosocial programs for older adults. For the essential activity-centered type, living support is required because they spend more time sleeping and eating. In addition, we proposed the preparation of leisure programs applicable to the needs of older adults’ of the leisure-centered type, since their life satisfaction was lower than the balanced type. Oxford University Press 2020-12-16 /pmc/articles/PMC7742659/ http://dx.doi.org/10.1093/geroni/igaa057.1607 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstracts Chae, Joosuk Nam, Seok In Won, Haesol Lee, Juyoung Influence Factors and Life Satisfaction of Types of Older Adults’ Daily Time Use Using Latent Profile Analysis |
title | Influence Factors and Life Satisfaction of Types of Older Adults’ Daily Time Use Using Latent Profile Analysis |
title_full | Influence Factors and Life Satisfaction of Types of Older Adults’ Daily Time Use Using Latent Profile Analysis |
title_fullStr | Influence Factors and Life Satisfaction of Types of Older Adults’ Daily Time Use Using Latent Profile Analysis |
title_full_unstemmed | Influence Factors and Life Satisfaction of Types of Older Adults’ Daily Time Use Using Latent Profile Analysis |
title_short | Influence Factors and Life Satisfaction of Types of Older Adults’ Daily Time Use Using Latent Profile Analysis |
title_sort | influence factors and life satisfaction of types of older adults’ daily time use using latent profile analysis |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7742659/ http://dx.doi.org/10.1093/geroni/igaa057.1607 |
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