[Study on occupational stress status and its effect on depressive symptoms and anxiety symptoms of workers from 14 electronic manufacturing enterprises in Qingdao].

Objective

To investigate the current status of occupational stress among electronic manufacturing workers in Qingdao and analyze its effect on depressive symptoms and anxiety symptoms.

Methods

From July to September 2022, a cluster random sampling method was employed to select frontline workers from 14 electronic manufacturing enterprises in Qingdao as the study subjects. A total of 1134 questionnaires were distributed, with 1000 valid questionnaires collected, yielding an effective response rate of 88.18%. The Core Occupational Stress Scale (COSS), the Patient Health Questionnaire-9 (PHQ-9), and the Generalized Anxiety Disorder-7 (GAD-7) were adopted to assess occupational stress, depressive symptoms, and anxiety symptoms, respectively. Binary logistic regression was employed to analyze influencing factors of occupational stress and its effects on depressive and anxiety symptoms.

Results

The detection rates of occupational stress, depressive symptoms, and anxiety symptoms were 15.1% (15/1000), 7.9% (79/1000), and 13.8% (138/1000), respectively. The influencing factor analysis of occupational stress revealed that female gender (OR=0.621, 95%CI: 0.434-0.890) and weekly working hours of 45-48 hours (OR=0.537, 95%CI: 0.309-0.935) were protective factors (P<0.05), while weekly working hours ≥55 hours (OR=2.176, 95%CI: 1.290-3.670) and shift work (OR=2.038, 95%CI: 1.412-2.940) were risk factors (P<0.05). Spearman correlation analysis showed that the COSS score was positively related with the PHQ-9 score and the GAD-7 score (r(s)=0.438, 0.289, P<0.01). Workers judged with occupational stress had 3.596 times (95%CI: 2.181-5.931, P<0.001) and 3.121 times (95%CI: 2.046-4.761, P<0.001) higher risks of detecting depressive and anxiety symptoms compared to those without occupational stress.

Conclusion

Electronic manufacturing workers in Qingdao experience a certain level of occupational stress, which may increase the risk of developing depressive and anxiety symptoms. Enterprises should implement appropriate interventions to promote workers' mental health.