Protective factors contributing to the health status of construction industry migrant workers in Chinese mainland

Abstract Construction industry migrant workers (CIMWs) face high-intensity labor and harsh working environments, experiencing significant health issues. Studying these health issues can help to protect workers’ rights, improve labor efficiency, and promote sustainable development in the construction...

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Main Authors: Yuxiu Bai, Yingying Lin, Daokai Sun, Chuanjing Liao, Min Zhang, Rufang Ye
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-87505-7
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author Yuxiu Bai
Yingying Lin
Daokai Sun
Chuanjing Liao
Min Zhang
Rufang Ye
author_facet Yuxiu Bai
Yingying Lin
Daokai Sun
Chuanjing Liao
Min Zhang
Rufang Ye
author_sort Yuxiu Bai
collection DOAJ
description Abstract Construction industry migrant workers (CIMWs) face high-intensity labor and harsh working environments, experiencing significant health issues. Studying these health issues can help to protect workers’ rights, improve labor efficiency, and promote sustainable development in the construction industry. The objective of this study is to analyze the relationships among health status, social support, and marital adjustment in construction migrant workers. Data were collected from 446 migrant workers who completed the Self-rated Health Measurement Scale (SRHMS), Marital Adjustment Test (MAT), and Social Support Rating Scale (SSRS). The results showed that (1) CIMWs were in poor social health, with low social support but good marital adjustment. (2) The higher the education level and monthly income, the better the social health. (3) The scores on the SRHMS had a significant positive correlation with the scores on the MAT and SSRS, and there were significant differences in SRHMS scores among the different levels of marital adjustment. (4) Education level, subjective social support, utilization of support, and marital adjustment significantly predicted overall health status. (5) Marital adjustment directly predicted mental health and social health, and also had an indirect relationship through social support. Education level had direct and indirect predictive effects via social support on social health. Social support fully mediated the association between education level and mental health. (6) Education level, marital adjustment, and social support were all protective factors contributing to the health status of CIMWs.
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spelling doaj-art-068ca6a093324bbc98c6345b7475633a2025-02-02T12:19:24ZengNature PortfolioScientific Reports2045-23222025-01-0115111010.1038/s41598-025-87505-7Protective factors contributing to the health status of construction industry migrant workers in Chinese mainlandYuxiu Bai0Yingying Lin1Daokai Sun2Chuanjing Liao3Min Zhang4Rufang Ye5 Department of Student Affairs, Zhejiang Industry & Trade Vocational CollegeCollege of Chinese Culture, Wenzhou-Kean UniversityCenter of Mental Health Education, Wenzhou UniversityCollege of Education, Wenzhou UniversityCollege of Education, Wenzhou UniversityCollege of Fine Art and Design, Wenzhou UniversityAbstract Construction industry migrant workers (CIMWs) face high-intensity labor and harsh working environments, experiencing significant health issues. Studying these health issues can help to protect workers’ rights, improve labor efficiency, and promote sustainable development in the construction industry. The objective of this study is to analyze the relationships among health status, social support, and marital adjustment in construction migrant workers. Data were collected from 446 migrant workers who completed the Self-rated Health Measurement Scale (SRHMS), Marital Adjustment Test (MAT), and Social Support Rating Scale (SSRS). The results showed that (1) CIMWs were in poor social health, with low social support but good marital adjustment. (2) The higher the education level and monthly income, the better the social health. (3) The scores on the SRHMS had a significant positive correlation with the scores on the MAT and SSRS, and there were significant differences in SRHMS scores among the different levels of marital adjustment. (4) Education level, subjective social support, utilization of support, and marital adjustment significantly predicted overall health status. (5) Marital adjustment directly predicted mental health and social health, and also had an indirect relationship through social support. Education level had direct and indirect predictive effects via social support on social health. Social support fully mediated the association between education level and mental health. (6) Education level, marital adjustment, and social support were all protective factors contributing to the health status of CIMWs.https://doi.org/10.1038/s41598-025-87505-7Construction Industry migrant workers (CIMWs)Health statusMarital adjustmentSocial supportFactors of protection
spellingShingle Yuxiu Bai
Yingying Lin
Daokai Sun
Chuanjing Liao
Min Zhang
Rufang Ye
Protective factors contributing to the health status of construction industry migrant workers in Chinese mainland
Scientific Reports
Construction Industry migrant workers (CIMWs)
Health status
Marital adjustment
Social support
Factors of protection
title Protective factors contributing to the health status of construction industry migrant workers in Chinese mainland
title_full Protective factors contributing to the health status of construction industry migrant workers in Chinese mainland
title_fullStr Protective factors contributing to the health status of construction industry migrant workers in Chinese mainland
title_full_unstemmed Protective factors contributing to the health status of construction industry migrant workers in Chinese mainland
title_short Protective factors contributing to the health status of construction industry migrant workers in Chinese mainland
title_sort protective factors contributing to the health status of construction industry migrant workers in chinese mainland
topic Construction Industry migrant workers (CIMWs)
Health status
Marital adjustment
Social support
Factors of protection
url https://doi.org/10.1038/s41598-025-87505-7
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