Evidence map›Paper›PMID 40475199›Full record

ArticleFrontiers in public health2025

The relationship between health and migration: exploring social capital and mobility preferences in China's urbanization process.

Peng Ying Mei, Jialu You, Wei Wen Jun

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Peng Ying MeiSociology Department, Guizhou Minzu University, Guiyang, Guizhou, China.
Jialu YouInstitution of Finance and Economics Department, Shanghai University of Finance and Economics, Shanghai, China.
Wei Wen JunBusiness Department, Zhongnan University of Economics and Law, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Health status is a key determinant of life outcomes, including economic performance, educational attainment, and social integration. However, its impact on migration preferences remains underexplored. This study investigates whether health status significantly influences migration decisions in China, with a particular focus on the role of social capital and class mobility expectations. Methods: This study utilizes data from the China Labor Dynamics Survey (CLDS) collected between 2012 and 2018. Multiple regression analyses were conducted to assess the relationship between self-reported health, occupational quality, social capital, and migration decisions. The mediating role of social networks and the moderating effect of class mobility expectations were also examined. Results: The analysis reveals that individuals with better health are more likely to migrate, especially in pursuit of improved employment opportunities in urban areas. Social networks mediate the relationship between health and migration by providing resources and support that facilitate mobility. Furthermore, class mobility expectations moderate this relationship: healthier individuals with positive prospects tend to stay in their current location, while those who have experienced upward mobility are more likely to migrate. Conclusion: This study highlights the significant role of health status in migration decisions and emphasizes the importance of social networks and class mobility expectations. Policies aimed at improving health and strengthening social support systems could enhance social equity and mobility, particularly in developing countries.

Indexed as

Emigration and ImmigrationHealth StatusSocial CapitalUrbanizationAdultChinaFemaleHumansMaleMiddle AgedSurveys and QuestionnairesChinaclass mobilityhealth statusmigrationsocial networks

Identifiers

PMID40475199
PMCPMC12139667

What OpenQuestion holds

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LicenceCC BY
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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.