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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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Detalles Bibliográficos
Autor principal: Lee, Yungsoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
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.
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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
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