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. 2025 Jan 31:16:1433949.
doi: 10.3389/fpsyt.2025.1433949. eCollection 2025.

Where you live, what you do: depression differences among diverse Chinese nongmin through cognitive openness

Affiliations

Where you live, what you do: depression differences among diverse Chinese nongmin through cognitive openness

Li He et al. Front Psychiatry. .

Abstract

Objective: This study aims to investigate the depression levels among Workers with Agricultural Hukou (WAH) in China, considering their varied living environments, types of work, and social discrimination experiences. It specifically addresses the research question: Is there a significant discrepancy in depression levels among different subgroups within WAH?

Methods: The study utilizes data from the China Family Panel Studies (CFPS) for the years 2018 and 2020. To estimate the depression levels and their variances across different WAH subgroups, we employed three analytical methods: Ordinary Least Squares, Propensity Score Matching, and Two-Stage Least Squares.

Results: Our findings indicate that all WAH subgroups experience higher levels of depression compared to Workers with Non-Agricultural Hukou (WNAH). Among the WAH subgroups, the depression levels, in ascending order, are observed in Rural-to-Urban Migrant Workers (RUMW), Rural Non-Agricultural Workers (RNAW), Subsistence Farmers, and Agricultural Laborers. Notably, these differences in depression levels may be influenced by the mechanism of cognitive openness.

Conclusion: The study concludes that there are significant disparities in depression levels among WAH subgroups. Understanding these differences is crucial for targeted mental health interventions and for addressing the broader implications of social discrimination and work-related stress among agricultural workers in China.

Keywords: CFPS; agricultural laborers; depression; rural non-agricultural workers; rural-to-urban migrant workers; subsistence farmers.

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Conflict of interest statement

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.

Figures

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Figure 1
Data filtering.

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