Aug 2026· Journal of Artificial Intelligence and Information· Vol 8, pp. 62-70· 0 citations· 33 references
TL;DR
Tertiary industry workers face significant mental health risks, influenced by complex and heterogeneous factors, and improving the mental health status of this population requires systematic intervention strategies, including policy and regulatory safeguards, optimization of work organization, and precise support at the individual level.
Abstract
Objective: This study investigates and statistically analyzes the mental health issues of workers in the tertiary industry, examining the influencing factors to provide empirical evidence for the development of strategies aimed at promoting occupational mental health. Methods: A cross-sectional study was conducted. A total of 2,705 front-line workers from five industries—environmental sanitation, transportation, education, delivery/takeout and healthcare—were selected using cluster sampling. Participants’ physical and mental health status was assessed using the *National Survey Questionnaire on Occupational Health Literacy among Key Populations*. Statistical analyses were performed using the chi-square test and logistic regression models. Results: The findings revealed that mental health problems were prevalent among tertiary industry workers, with sleep disorders (90.1%) and depressive symptoms (74.0%) being particularly prominent. Depression risk in female workers was primarily associated with structural social inequalities. Age exhibited differential effects: occupational stress peaked in the 30~<40 age group, whereas the risk for depression and anxiety was highest in the 40~<50 age group. Higher monthly income (≥5,000 RMB) was identified as an independent risk factor for depression and anxiety. Working 45~<49 hours per week represented a specific risk window for sleep disorders. Night shift work and marital status did not demonstrate independent protective effects on mental health (P > 0.05). Conclusion: [Tertiary industry workers face significant mental health risks, influenced by complex and heterogeneous factors. Improving the mental health status of this population requires systematic intervention strategies, encompassing policy and regulatory safeguards, optimization of work organization, and precise support at the individual level.
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OBJECTIVES
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