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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Autores principales: Chaoping Pan, Cen Wang, Bhawana Shrestha, Peigang Wang
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/dda7ae3a8287457db761484fc6a21dff
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle 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
description 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
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