دورية أكاديمية
The impact of family urban integration on migrant worker mental health in China.
| العنوان: | The impact of family urban integration on migrant worker mental health in China. |
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| المؤلفون: | Sun X; College of International Business, Shenyang Normal University, Shenyang, Liaoning, China.; College of Economics and Management, Shenyang Agricultural University, Shenyang, Liaoning, China., Zhou M; College of Economics and Management, Shenyang Agricultural University, Shenyang, Liaoning, China., Huang L; College of Economics and Management, Shenyang Agricultural University, Shenyang, Liaoning, China. |
| المصدر: | Frontiers in public health [Front Public Health] 2024 Aug 27; Vol. 12, pp. 1392153. Date of Electronic Publication: 2024 Aug 27 (Print Publication: 2024). |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: Lausanne : Frontiers Editorial Office |
| مواضيع طبية MeSH: | Transients and Migrants*/psychology , Transients and Migrants*/statistics & numerical data , Mental Health*, Humans ; China ; Female ; Male ; Adult ; Family/psychology ; Urban Population/statistics & numerical data ; Urbanization ; Depression/psychology ; Depression/epidemiology ; Social Integration ; Middle Aged |
| مستخلص: | Background: As China has undergone the processes of urbanization and economic development, a large migrant population has emerged, creating new family migration trends. Family migration brings about changes in urban integration costs and benefits, affecting health investment. Objective: The primary objective of this research is to investigate the influence of urban integration of migrant workers' families on their mental wellbeing, with the aim of offering policy recommendations conducive to the realization of a comprehensive public health strategy in China. Methods: This paper uses multi-dimensional indexes to measure family urban integration, covering economic, social and psychological dimensions, which may consider the complexity of integration. Utilizing a machine learning clustering algorithm, the research endeavors to assess the level of urban integration experienced by migrant workers and their respective families. The analysis discerns three distinct clusters denoting varying degrees of urban integration within these familial units, namely high-level, medium-level, and low-level urban integration. We applied binary logit regression models to analyze the influence of family urban integration on the mental health among migrant workers. Then we conducted a series of robustness tests. Results: The results show that family urban integration decreases the probability of depressive symptoms by 14.6 percentage points. Further mechanism tests show that family economic integration enhances the psychological wellbeing of migrant workers by elevating their income status. Family social integration decreases depressive symptoms by increasing social status. Family psychological integration increases the psychological health of migrant workers by making them more satisfied with their lives. The heterogeneity test shows that family urban integration and its different dimensions have a strong impact on the depressive symptoms of women, first-generation, and less-educated groups. Conclusions: This study finds that family urban integration and its economic, social, and psychological dimensions significantly reduced the depressive symptoms of migrant workers. The results of this study lead the authors to recommend formulating a family-centered policy for migrant workers to reside in urban areas, optimizing the allocation of medical resources and public services, and improving family urban integration among migrant workers in order to avoid mental health problems in the process of urban integration. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2024 Sun, Zhou and Huang.) |
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| فهرسة مساهمة: | Keywords: depressive symptoms; family urban integration; machine learning; mental health; migrant workers |
| تواريخ الأحداث: | Date Created: 20240911 Date Completed: 20240911 Latest Revision: 20240914 |
| رمز التحديث: | 20240914 |
| مُعرف محوري في PubMed: | PMC11385871 |
| DOI: | 10.3389/fpubh.2024.1392153 |
| PMID: | 39257952 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 2296-2565 |
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| DOI: | 10.3389/fpubh.2024.1392153 |