College of International Business, Shenyang Normal University, Shenyang, Liaoning, China.
College of Economics and Management, Shenyang Agricultural University, Shenyang, Liaoning, China.
Front Public Health. 2024 Aug 27;12:1392153. doi: 10.3389/fpubh.2024.1392153. eCollection 2024.
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.
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.
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.
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.
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.
随着中国城市化和经济发展进程的推进，大量流动人口涌现，形成了新的家庭迁移趋势。家庭迁移带来了城市融合成本和收益的变化，影响了健康投资。
本研究旨在探讨流动人口家庭的城市融合对其心理健康的影响，旨在为中国实现全面公共卫生战略提供政策建议。
本文采用多维指标衡量家庭城市融合，涵盖经济、社会和心理维度，可能考虑到融合的复杂性。利用机器学习聚类算法，研究努力评估农民工及其家庭的城市融合水平。分析将这些家庭单位的城市融合程度分为三个不同的层次，即高水平、中水平和低水平。我们应用二项逻辑回归模型分析家庭城市融合对农民工心理健康的影响。然后我们进行了一系列稳健性测试。
结果表明，家庭城市融合使农民工出现抑郁症状的概率降低了 14.6 个百分点。进一步的机制测试表明，家庭经济融合通过提高收入状况提高了农民工的心理健康水平。家庭社会融合通过提高社会地位降低了抑郁症状。家庭心理融合通过使农民工对生活更满意来提高他们的心理健康。异质性检验表明，家庭城市融合及其不同维度对女性、第一代和受教育程度较低群体的抑郁症状有较强的影响。
本研究发现，家庭城市融合及其经济、社会和心理维度显著降低了农民工的抑郁症状。本研究的结果促使作者建议制定以家庭为中心的农民工居住政策，优化医疗资源和公共服务配置，提高农民工的家庭城市融合水平，以避免在城市融合过程中出现心理健康问题。
