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Research Article
Peigang Wang
Wuhan University
Corresponding Author
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This work is licensed under a CC BY 4.0 License. Read Full License
Objectives: 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.
Methods: 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 relationship between childhood predictors and the joint trajectories.
Results: 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 disability trajectories of older adults directly or indirectly through adults variables.
Discussion: 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.
Keywords
Older adults, 3-D health, Multi-trajectory modeling, Childhood predictors
Figure 1
Figure 2
Figure 3
The full text of this article is available to read as a PDF.
No competing interests reported.
This is a list of supplementary files associated with this preprint. Click to download.
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CURRENT STATUS: Under Review
Version 1
Posted 02 Feb, 2021
No community comments so far
Editorial decision: Major revision
On 11 Mar, 2021
Reviews received
Received 20 Feb, 2021
Reviewers agreed
On 17 Feb, 2021
Reviewers invited
Invitations sent on 17 Feb, 2021
Editor assigned
On 17 Feb, 2021
Editor invited
On 29 Jan, 2021
Submission checks complete
On 29 Jan, 2021
First submitted
On 25 Jan, 2021
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A new preprint design is coming!
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This preprint is under consideration at Scientific Reports. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research Article
Peigang Wang
Wuhan University
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 02 Feb, 2021
No community comments so far
Editorial decision: Major revision
On 11 Mar, 2021
Reviews received
Received 20 Feb, 2021
Reviewers agreed
On 17 Feb, 2021
Reviewers invited
Invitations sent on 17 Feb, 2021
Editor assigned
On 17 Feb, 2021
Editor invited
On 29 Jan, 2021
Submission checks complete
On 29 Jan, 2021
First submitted
On 25 Jan, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Objectives: 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.
Methods: 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 relationship between childhood predictors and the joint trajectories.
Results: 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 disability trajectories of older adults directly or indirectly through adults variables.
Discussion: 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.
Figure 1
Figure 2
Figure 3
The full text of this article is available to read as a PDF.
No competing interests reported.
This is a list of supplementary files associated with this preprint. Click to download.
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