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Time trend analysis of leisure-time activity participation among young-old adults in China 2002–2018

BACKGROUND: To examine the time trends of leisure activity engagement among young-old adults aged 65–74 in China over a 16-year period. METHODS: Data for a nationally representative sample of young-old adults was sourced from the 2002–2018 Chinese Longitudinal Healthy Longevity Survey (N = 9504). Ge...

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Autores principales: Fong, Joelle H., Feng, Qiushi, Zhang, Wei, Chen, Huashuai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889756/
https://www.ncbi.nlm.nih.gov/pubmed/35232397
http://dx.doi.org/10.1186/s12889-022-12838-1
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author Fong, Joelle H.
Feng, Qiushi
Zhang, Wei
Chen, Huashuai
author_facet Fong, Joelle H.
Feng, Qiushi
Zhang, Wei
Chen, Huashuai
author_sort Fong, Joelle H.
collection PubMed
description BACKGROUND: To examine the time trends of leisure activity engagement among young-old adults aged 65–74 in China over a 16-year period. METHODS: Data for a nationally representative sample of young-old adults was sourced from the 2002–2018 Chinese Longitudinal Healthy Longevity Survey (N = 9504). Generalized estimating equations regressions were implemented to assess temporal trends for 10 different leisure-time activities. We also evaluated time trends for solitary versus social leisure-time activities. RESULTS: Young-old adults were less likely to engage in any form of social activities (e.g. participate in social events) over time, controlling for other confounders such as age, sex, education, income, and health characteristics. Trends in outdoor activities participation and tourism also declined over 2002-2014, but reversed in 2018. In contrast, solitary leisure activities (e.g. watching TV) became more popular. There was a significant spike in the likelihood of keeping pets from 2011 onwards, especially among urbanites. CONCLUSIONS: The future elderly in China have tended towards home-bound and solitary leisure activities over time, which warrants policy attention and public health interventions to reverse such trends. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-12838-1.
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spelling pubmed-88897562022-03-09 Time trend analysis of leisure-time activity participation among young-old adults in China 2002–2018 Fong, Joelle H. Feng, Qiushi Zhang, Wei Chen, Huashuai BMC Public Health Research BACKGROUND: To examine the time trends of leisure activity engagement among young-old adults aged 65–74 in China over a 16-year period. METHODS: Data for a nationally representative sample of young-old adults was sourced from the 2002–2018 Chinese Longitudinal Healthy Longevity Survey (N = 9504). Generalized estimating equations regressions were implemented to assess temporal trends for 10 different leisure-time activities. We also evaluated time trends for solitary versus social leisure-time activities. RESULTS: Young-old adults were less likely to engage in any form of social activities (e.g. participate in social events) over time, controlling for other confounders such as age, sex, education, income, and health characteristics. Trends in outdoor activities participation and tourism also declined over 2002-2014, but reversed in 2018. In contrast, solitary leisure activities (e.g. watching TV) became more popular. There was a significant spike in the likelihood of keeping pets from 2011 onwards, especially among urbanites. CONCLUSIONS: The future elderly in China have tended towards home-bound and solitary leisure activities over time, which warrants policy attention and public health interventions to reverse such trends. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-12838-1. BioMed Central 2022-03-02 /pmc/articles/PMC8889756/ /pubmed/35232397 http://dx.doi.org/10.1186/s12889-022-12838-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Fong, Joelle H.
Feng, Qiushi
Zhang, Wei
Chen, Huashuai
Time trend analysis of leisure-time activity participation among young-old adults in China 2002–2018
title Time trend analysis of leisure-time activity participation among young-old adults in China 2002–2018
title_full Time trend analysis of leisure-time activity participation among young-old adults in China 2002–2018
title_fullStr Time trend analysis of leisure-time activity participation among young-old adults in China 2002–2018
title_full_unstemmed Time trend analysis of leisure-time activity participation among young-old adults in China 2002–2018
title_short Time trend analysis of leisure-time activity participation among young-old adults in China 2002–2018
title_sort time trend analysis of leisure-time activity participation among young-old adults in china 2002–2018
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889756/
https://www.ncbi.nlm.nih.gov/pubmed/35232397
http://dx.doi.org/10.1186/s12889-022-12838-1
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