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The Potential Psychological Mechanism of Subjective Well-Being in Migrant Workers: A Structural Equation Models Analysis

Objective: The aim of this study was to identify the potential psychological mechanism of well-being in migrants in Shanghai, China. Methods: A cross-sectional study was conducted in 2018. First, a literature review was conducted to understand the salutogenesis of migrants in China. Then, 2573 rando...

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Autores principales: Chen, Hao, Wang, Lei, Wei, Yanxia, Ye, Bo, Dai, Junming, Gao, Junling, Wang, Fan, Fu, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617093/
https://www.ncbi.nlm.nih.gov/pubmed/31238592
http://dx.doi.org/10.3390/ijerph16122229
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author Chen, Hao
Wang, Lei
Wei, Yanxia
Ye, Bo
Dai, Junming
Gao, Junling
Wang, Fan
Fu, Hua
author_facet Chen, Hao
Wang, Lei
Wei, Yanxia
Ye, Bo
Dai, Junming
Gao, Junling
Wang, Fan
Fu, Hua
author_sort Chen, Hao
collection PubMed
description Objective: The aim of this study was to identify the potential psychological mechanism of well-being in migrants in Shanghai, China. Methods: A cross-sectional study was conducted in 2018. First, a literature review was conducted to understand the salutogenesis of migrants in China. Then, 2573 random participants were recruited from six workplaces and public places in six districts of Shanghai. The Chinese versions of the Patient Health Questionnaire-9 (PHQ-9), the Personal Wellbeing Index (PWI), and the Sense of Coherence (SOC) Scale were used to evaluate the depression, subjective well-being (SWB), and SOC of migrants. The t-test, ANOVA, and multiple linear regression and structural equation models (SEM) were used to analyze the correlations and paths among generalized resistant resources (GRRs), SOC, PHQ, and SWB. Results: The subjects were aged between 18 and 58 (mean, 28.17; SD, 6.99). SOC showed a positive correlation with SWB (r = 0.46, p < 0.001) and a negative correlation to PHQ (r = −0.53, p < 0.001). After controlling for the demographic characteristics, we found that PHQ, SOC (comprehensibility, manageability, meaningfulness), and GRRs (income ratio, marital status) contributed 33.3% of the variance in SWB, and their linear regression coefficients were: −0.32 (p < 0.001), 0.09 (p < 0.001), 0.09 (p < 0.001), 0.15 (p < 0.001), 0.06 (p < 0.05), and 0.16 (p < 0.05), respectively. These findings not only confirmed the direct association among SOC, PHQ and SWB, but also verified two underlying mechanisms regarding the mediating effect of SOC by using SEM: (1) GRRs (income ratio, marital status) are positively associated with a higher SOC, which further contributes to favorable SWB; and (2) PHQ is negatively associated with poor SWB indirectly via SOC. Conclusion: Migrant workers with low SOC and high PHQ are vulnerable to poor well-being levels. Meanwhile, GRRs (income ratio, marital status) may strengthen the SOC level, and can be regarded as the basis of intervention. Further investigation may be needed to focus on external psychological support factors.
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spelling pubmed-66170932019-07-18 The Potential Psychological Mechanism of Subjective Well-Being in Migrant Workers: A Structural Equation Models Analysis Chen, Hao Wang, Lei Wei, Yanxia Ye, Bo Dai, Junming Gao, Junling Wang, Fan Fu, Hua Int J Environ Res Public Health Article Objective: The aim of this study was to identify the potential psychological mechanism of well-being in migrants in Shanghai, China. Methods: A cross-sectional study was conducted in 2018. First, a literature review was conducted to understand the salutogenesis of migrants in China. Then, 2573 random participants were recruited from six workplaces and public places in six districts of Shanghai. The Chinese versions of the Patient Health Questionnaire-9 (PHQ-9), the Personal Wellbeing Index (PWI), and the Sense of Coherence (SOC) Scale were used to evaluate the depression, subjective well-being (SWB), and SOC of migrants. The t-test, ANOVA, and multiple linear regression and structural equation models (SEM) were used to analyze the correlations and paths among generalized resistant resources (GRRs), SOC, PHQ, and SWB. Results: The subjects were aged between 18 and 58 (mean, 28.17; SD, 6.99). SOC showed a positive correlation with SWB (r = 0.46, p < 0.001) and a negative correlation to PHQ (r = −0.53, p < 0.001). After controlling for the demographic characteristics, we found that PHQ, SOC (comprehensibility, manageability, meaningfulness), and GRRs (income ratio, marital status) contributed 33.3% of the variance in SWB, and their linear regression coefficients were: −0.32 (p < 0.001), 0.09 (p < 0.001), 0.09 (p < 0.001), 0.15 (p < 0.001), 0.06 (p < 0.05), and 0.16 (p < 0.05), respectively. These findings not only confirmed the direct association among SOC, PHQ and SWB, but also verified two underlying mechanisms regarding the mediating effect of SOC by using SEM: (1) GRRs (income ratio, marital status) are positively associated with a higher SOC, which further contributes to favorable SWB; and (2) PHQ is negatively associated with poor SWB indirectly via SOC. Conclusion: Migrant workers with low SOC and high PHQ are vulnerable to poor well-being levels. Meanwhile, GRRs (income ratio, marital status) may strengthen the SOC level, and can be regarded as the basis of intervention. Further investigation may be needed to focus on external psychological support factors. MDPI 2019-06-24 2019-06 /pmc/articles/PMC6617093/ /pubmed/31238592 http://dx.doi.org/10.3390/ijerph16122229 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Hao
Wang, Lei
Wei, Yanxia
Ye, Bo
Dai, Junming
Gao, Junling
Wang, Fan
Fu, Hua
The Potential Psychological Mechanism of Subjective Well-Being in Migrant Workers: A Structural Equation Models Analysis
title The Potential Psychological Mechanism of Subjective Well-Being in Migrant Workers: A Structural Equation Models Analysis
title_full The Potential Psychological Mechanism of Subjective Well-Being in Migrant Workers: A Structural Equation Models Analysis
title_fullStr The Potential Psychological Mechanism of Subjective Well-Being in Migrant Workers: A Structural Equation Models Analysis
title_full_unstemmed The Potential Psychological Mechanism of Subjective Well-Being in Migrant Workers: A Structural Equation Models Analysis
title_short The Potential Psychological Mechanism of Subjective Well-Being in Migrant Workers: A Structural Equation Models Analysis
title_sort potential psychological mechanism of subjective well-being in migrant workers: a structural equation models analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617093/
https://www.ncbi.nlm.nih.gov/pubmed/31238592
http://dx.doi.org/10.3390/ijerph16122229
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