Evidence map›Paper›PMID 40696473›Full record

ArticleJournal of health, population, and nutrition2025

Relationship between social mobility and residents' health: the mediating role of subjective well-being.

Chong Zhang, Hongyan Zheng, Huan Ou, Lin Sun

Abstract read
In one paragraph

Article in Journal of health, population, and nutrition, 2025. 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

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

2 citing papers in PubMed.

  1. Article
  2. 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.

Chong ZhangInstitute of Network Social Governance, School of Marxism, University of Electronic Science and Technology of China, Chengdu, Sichuan, China. chongzhang1@163.com.
Hongyan ZhengInstitute of Network Social Governance, School of Marxism, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Huan OuInstitute of Network Social Governance, School of Marxism, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Lin SunResearch Institute of Social Development, Southwestern University of Finance and Economics, Chengdu, Sichuan, China.

Funding

National Social Science Fund of China Education Project BFA240081
6 · The paper itself

Abstract

objectiveUnder the background of the “Healthy China 2030” plan, this study explores the relationship between social mobility and residents’ health, and also examines the mediating effect of subjective well-being on this relationship.

methodsBased on the 2017 and 2021 Chinese General Social Survey data, three regression methods, namely OLS regression, ordered logit regression, and binary logit regression, are used to analyze the impact of social mobility on residents’ health. Bootstrap and KHB methods are used to test the mediating effect of subjective well-being.

resultsThe empirical results of the three regression models indicate that there are significant positive relationships between social mobility and both physical and mental health of residents. The mediating role of subjective well-being in the impact of social mobility on physical health accounts for 35.944-63.232%. Similarly, it accounts for 43.298-57.324% in the impact on mental health.

conclusionThese findings underscore the importance of social mobility and subjective well-being in enhancing the health of residents. Policy-makers should consider these factors in future policy development to achieve the objectives of the “Healthy China 2030” plan.

Indexed as

Health StatusMental HealthSocial MobilityAdultChinaFemaleHumansMaleMiddle AgedPsychological Well-BeingSocioeconomic FactorsMediating effectMental healthPhysical healthSocial mobilitySubjective well-being

Identifiers

PMID40696473
PMCPMC12285045

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.