3-D health trajectories and related childhood predictors among older adults in China
Abstract This study aimed to identify the multi-trajectories of 3-D health of older adults in China and to explore whether the childhood predictors are associated with 3-D health trajectory. Data came from five waves of the China Health and Retirement Longitudinal Study (CHARLS, 2011 to 2018). A mul...
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Nature Portfolio
2021
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oai:doaj.org-article:dda7ae3a8287457db761484fc6a21dff2021-12-02T17:01:57Z3-D health trajectories and related childhood predictors among older adults in China10.1038/s41598-021-89354-62045-2322https://doaj.org/article/dda7ae3a8287457db761484fc6a21dff2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89354-6https://doaj.org/toc/2045-2322Abstract This study aimed to identify the multi-trajectories of 3-D health of older adults in China and to explore whether the childhood predictors are associated with 3-D health trajectory. Data came from five waves of the China Health and Retirement Longitudinal Study (CHARLS, 2011 to 2018). A multi-trajectory modeling approach was carried out to jointly estimate the trajectories of 3-D health. A multinomial regression model was used to investigate the relationships between childhood predictors and the joint trajectories. We identified three typical joint 3-D health trajectories. Female, childhood health, maternal and paternal educations, childhood friendships, family and neighborhood predictors could all affect 3-D health trajectories of older adults directly or indirectly through adult variables. The 3-D health trajectories showed increasing trends, thus the government should perform more interventions toward the childhood predictors for better health of older adults.Chaoping PanCen WangBhawana ShresthaPeigang WangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021) |
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Medicine R Science Q Chaoping Pan Cen Wang Bhawana Shrestha Peigang Wang 3-D health trajectories and related childhood predictors among older adults in China |
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Abstract This study aimed to identify the multi-trajectories of 3-D health of older adults in China and to explore whether the childhood predictors are associated with 3-D health trajectory. Data came from five waves of the China Health and Retirement Longitudinal Study (CHARLS, 2011 to 2018). A multi-trajectory modeling approach was carried out to jointly estimate the trajectories of 3-D health. A multinomial regression model was used to investigate the relationships between childhood predictors and the joint trajectories. We identified three typical joint 3-D health trajectories. Female, childhood health, maternal and paternal educations, childhood friendships, family and neighborhood predictors could all affect 3-D health trajectories of older adults directly or indirectly through adult variables. The 3-D health trajectories showed increasing trends, thus the government should perform more interventions toward the childhood predictors for better health of older adults. |
format |
article |
author |
Chaoping Pan Cen Wang Bhawana Shrestha Peigang Wang |
author_facet |
Chaoping Pan Cen Wang Bhawana Shrestha Peigang Wang |
author_sort |
Chaoping Pan |
title |
3-D health trajectories and related childhood predictors among older adults in China |
title_short |
3-D health trajectories and related childhood predictors among older adults in China |
title_full |
3-D health trajectories and related childhood predictors among older adults in China |
title_fullStr |
3-D health trajectories and related childhood predictors among older adults in China |
title_full_unstemmed |
3-D health trajectories and related childhood predictors among older adults in China |
title_sort |
3-d health trajectories and related childhood predictors among older adults in china |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/dda7ae3a8287457db761484fc6a21dff |
work_keys_str_mv |
AT chaopingpan 3dhealthtrajectoriesandrelatedchildhoodpredictorsamongolderadultsinchina AT cenwang 3dhealthtrajectoriesandrelatedchildhoodpredictorsamongolderadultsinchina AT bhawanashrestha 3dhealthtrajectoriesandrelatedchildhoodpredictorsamongolderadultsinchina AT peigangwang 3dhealthtrajectoriesandrelatedchildhoodpredictorsamongolderadultsinchina |
_version_ |
1718381998537441280 |