Evidence map›Paper›PMID 35548528›Full record

ArticleFrontiers in psychology2022

Social Integration and Health Among Young Migrants in China: Mediated by Social Mentality and Moderated by Gender.

Jingjing Zhou, Li Zhu, Junwei Zhang

Abstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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.

Jingjing ZhouSchool of Sociology and Population Studies, Nanjing University of Posts and Telecommunications, Nanjing, China.
Li ZhuDepartment of Sociology, School of Social and Behavioral Sciences, Nanjing University, Nanjing, China.
Junwei ZhangCollege of Philosophy, Law and Political Science, Shanghai Normal University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population mobility has been one of the most basic social characteristics of China's reform and opening up for more than 40 years. As the main labor force in Chinese cities, young migrants have made major contributions toward China's economic miracle as the country has experienced rapid industrialization and urbanization. However, frequent mobility has caused an imbalanced social mentality in young migrants and often leads to issues with social integration, which has made this group more vulnerable with respect to their health. This study used the 2013 and 2015 Chinese General Social Survey (CGSS) data of 1,007 young migrants to investigate social mentality mediating the linkage between social integration and health among young migrants. Additionally, to probe the moderating role of gender, multi-group structural equation modeling was applied to test if the pathways in the mediation model differed between young male and female migrants in a significant way. The results suggested that after controlling for the influence of age, marital status, education, and personal annual income, social integration positively impacted the health of young migrants in a significant way; social mentality mediated the action of social integration on this group's health; and with respect to gender difference, on the three paths of social integration affecting health, social integration affecting social mentality, and social mentality affecting health, young male migrants were more affected than young female migrants. The findings of this study could help improve gender-specific policies on the health of the floating population and offer important theoretical reference and practical suggestions for future research.

Indexed as

Chinahealth statussocial integrationsocial mentalityyoung migrants

Identifiers

PMID35548528
PMCPMC9082418

What OpenQuestion holds

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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.