Evidence map›Paper›PMID 41100461›Full record

ArticlePloS one2025

A study of the impact of social network types on the health of older adults-Mediated by psychological resilience.

Yuan Chai, Qi Zhang, Yifei Yuan

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yuan ChaiSchool of Labor Economics, The Capital University of Economics and Business, Beijing, China.
Qi ZhangSchool of Labor Economics, The Capital University of Economics and Business, Beijing, China.
Yifei YuanSchool of Labor Economics, The Capital University of Economics and Business, Beijing, China.ORCID https://orcid.org/0000-0001-6264-6411

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo explore the different types of social network types and their impact on the health of the elderly, as well as the influencing mechanisms to promote their health.

methodk-means clustering, regression analysis, mediating effect method.

resultsFor Chinese elderly people, social network types have a significant impact on the self-rated health, but not on the chronic conditions. The benefits of diverse social network types are significant and positively influence their health by enhancing psychological resilience. There is heterogeneity among different characteristic groups. DISCUSSION: This not only suggests that elderly individuals should consciously engage with different types of people in their daily lives, but also emphasizes the need for the government to further establish and improve platforms that promote a diverse social network for the elderly, and provide personalized services and guidance for different groups.

Indexed as

Health StatusResilience, PsychologicalSocial NetworkingSocial SupportAgedAged, 80 and overChinaFemaleHumansMaleMiddle Aged

Identifiers

PMID41100461
PMCPMC12530523

What OpenQuestion holds

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LicenceCC BY
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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.