Evidence map›Paper›PMID 39824969›Full record

ArticleScientific reports2025

Research on the impact of mutual elderly care on the physical and mental health of rural elderly in China.

Jialiang Liu, Xiaohan Liu, Bin Hu, GuangYao Liu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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.

Jialiang Liu *School of Management, Xuzhou Medical University, Xuzhou, China.
Xiaohan Liu *School of Management, Xuzhou Medical University, Xuzhou, China.
Bin Hu *School of Public Health, Xuzhou Medical University, Xuzhou, 221004, China. hubin@xzhmu.edu.cn.
GuangYao Liu *Xuzhou Medical University, Xuzhou, China.

Funding

Medical Research Program of Jiangsu Provincial Health and Wellness Commission Z2020049
6 · The paper itself

Abstract

To study the impact of mutual care on the physical and mental health of rural elderly, and provide countermeasures and suggestions for the long-term development of mutual care. Data chosen from the 2018 China health and retirement longitudinal study (CHARLS) were selected, with 8369 elderly people aged ≥ 60 years old, and propensity scores were matched using nearest-neighbor matching, kernel matching, and radius matching, and then heterogeneity was used to analyze the mean effect values among different populations. The results of propensity score matching PSM showed that participation in mutual care had a significant positive effect on the mental health of the rural elderly, with a net effect of 0.020 ~ 0.027, and a significant negative effect on the physical health of the rural elderly, with a net effect of -0.029~-0.030. Heterogeneity analyses showed that participation in mutual care had no significant effect on the physical and mental health of the rural elderly who did not suffer from chronic diseases. Physical and mental health does not have a significant effect. The net effect is -0.06031 to -0.035, and the net effect is 0.029 to 0.030. The rate of rural elderly people's participation in mutual aid is low, and participation in mutual aid has different degrees of influence on the physical and mental health of rural elderly people, different characteristics of rural elderly people's participation in mutual aid have different degrees of influence on their physical and mental health.

Indexed as

Health StatusMental HealthRural PopulationAgedAged, 80 and overChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedMental healthMutual aid for the elderlyPhysical healthPropensity score matchingRural elderly

Identifiers

PMID39824969
PMCPMC11748737

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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.