Evidence map›Paper›PMID 33972630›Full record

ArticleScientific reports2021

3-D health trajectories and related childhood predictors among older adults in China.

Chaoping Pan, Cen Wang, Bhawana Shrestha, Peigang Wang

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Chaoping PanSchool of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan City, 430071, Hubei Province, China.
Cen WangSchool of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan City, 430071, Hubei Province, China.
Bhawana ShresthaSchool of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan City, 430071, Hubei Province, China.
Peigang WangSchool of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan City, 430071, Hubei Province, China. wpg926@whu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Health StatusModels, BiologicalAgedAgingChildChinaChronic DiseaseDepressionDisability EvaluationFemaleForecastingHumansLikelihood FunctionsLongitudinal StudiesMaleProtective Factors

Identifiers

PMID33972630
PMCPMC8110566

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.