Evidence map›Paper›PMID 40019900›Full record

ArticlePloS one2025

Does education level affect the health status of the elderly? The chain mediating effect of internet use, health behavior and social class identity.

Ting Qin, Pingqiang Wei, Yuanyuan Xie

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. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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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.

Ting QinSchool of Literature and Journalism, Xihua University, Chengdu, Sichuan, China.
Pingqiang WeiSchool of Literature and Journalism, Xihua University, Chengdu, Sichuan, China.ORCID 0009-0003-1286-4949
Yuanyuan XieSchool of Literature and Journalism, Xihua University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChina's aging population is gradually increasing, and the health status of the elderly has become the focus of social attention. Education level is one of the important factors affecting the health status of the elderly. However, there are few studies on how education level specifically affects the health status of the elderly in China. Therefore, the purpose of this study is to explore the influence path of education level on the health status of the elderly in China, and to further study the mediating effect of Internet use, health behavior and social class identity in this process.

methodsThis study is based on the latest version of the Chinese General Social Survey data as the basis of empirical analysis. Through multiple linear regression analysis, structural equation model analysis, Bootstrap method and robustness test, the relationship between education level, Internet use, health behavior, social class identity and the health status of the elderly is verified.

results(1) Education level has a significant positive impact on the health status of the elderly in China (p < 0.05), which is, education level has a positive effect on the health status of the elderly in China. (2) Internet use, health behavior and social class identity have a significant mediating effect between education level and health status of Chinese elderly, and the mediating effect values are 0.024, 0.002 and 0.011, respectively. (3) Internet use, health behavior and social class identity play a chain mediating role in the impact of education level on the health status of the elderly, and the chain mediating effect value is 0.004.

conclusionsThis study not only confirms the direct impact of education level on the health status of the elderly in China, but also reveals the indirect role of Internet use, healthy behavior and social class identity in this impact mechanism. These findings provide new perspectives and strategies for further improving the health status of the elderly in China.

Indexed as

Educational StatusHealth BehaviorHealth StatusInternet UseSocial ClassAgedAged, 80 and overChinaFemaleHumansInternetMaleMiddle Aged

Identifiers

PMID40019900
PMCPMC11870362

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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.