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Activity Profiles among Older Adults: Latent Class Analysis Using the Korean Time Use Survey
This study empirically explored the activity profiles of Korean older adults by considering a wide range of activities simultaneously and further investigated the socioeconomic factors associated with activity profiles. Gender differences in activity profiles were examined in-depth. Latent class ana...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8392169/ https://www.ncbi.nlm.nih.gov/pubmed/34444535 http://dx.doi.org/10.3390/ijerph18168786 |
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author | Lee, Yungsoo |
author_facet | Lee, Yungsoo |
author_sort | Lee, Yungsoo |
collection | PubMed |
description | This study empirically explored the activity profiles of Korean older adults by considering a wide range of activities simultaneously and further investigated the socioeconomic factors associated with activity profiles. Gender differences in activity profiles were examined in-depth. Latent class analysis (LCA) was used to identify activity profiles based on a nationally representative sample of older adults from the most recent two waves of the Korean Time Use Survey (n = 3034 for 2014 and n = 3960 for 2019). Multinomial logistic regression analysis was employed to further examine the factors associated with the activity profiles. The findings revealed four distinct activity groups, although there were differences in activity profiles between the two waves. Several sociodemographic factors, such as gender, age, assets and income, were significantly associated with the activity profiles. Findings from this study can inform policy makers seeking interventions that enhance the overall well-being of older adults through activity engagement. |
format | Online Article Text |
id | pubmed-8392169 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83921692021-08-28 Activity Profiles among Older Adults: Latent Class Analysis Using the Korean Time Use Survey Lee, Yungsoo Int J Environ Res Public Health Article This study empirically explored the activity profiles of Korean older adults by considering a wide range of activities simultaneously and further investigated the socioeconomic factors associated with activity profiles. Gender differences in activity profiles were examined in-depth. Latent class analysis (LCA) was used to identify activity profiles based on a nationally representative sample of older adults from the most recent two waves of the Korean Time Use Survey (n = 3034 for 2014 and n = 3960 for 2019). Multinomial logistic regression analysis was employed to further examine the factors associated with the activity profiles. The findings revealed four distinct activity groups, although there were differences in activity profiles between the two waves. Several sociodemographic factors, such as gender, age, assets and income, were significantly associated with the activity profiles. Findings from this study can inform policy makers seeking interventions that enhance the overall well-being of older adults through activity engagement. MDPI 2021-08-20 /pmc/articles/PMC8392169/ /pubmed/34444535 http://dx.doi.org/10.3390/ijerph18168786 Text en © 2021 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lee, Yungsoo Activity Profiles among Older Adults: Latent Class Analysis Using the Korean Time Use Survey |
title | Activity Profiles among Older Adults: Latent Class Analysis Using the Korean Time Use Survey |
title_full | Activity Profiles among Older Adults: Latent Class Analysis Using the Korean Time Use Survey |
title_fullStr | Activity Profiles among Older Adults: Latent Class Analysis Using the Korean Time Use Survey |
title_full_unstemmed | Activity Profiles among Older Adults: Latent Class Analysis Using the Korean Time Use Survey |
title_short | Activity Profiles among Older Adults: Latent Class Analysis Using the Korean Time Use Survey |
title_sort | activity profiles among older adults: latent class analysis using the korean time use survey |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8392169/ https://www.ncbi.nlm.nih.gov/pubmed/34444535 http://dx.doi.org/10.3390/ijerph18168786 |
work_keys_str_mv | AT leeyungsoo activityprofilesamongolderadultslatentclassanalysisusingthekoreantimeusesurvey |