Influencing factors and risk analysis of anxiety and depression in occupational population
10.3760/cma.j.cn121094-20240315-00100
- VernacularTitle:职业人群焦虑抑郁的影响因素与风险分析
- Author:
Yuling CHEN
1
;
Jingxuan MA
;
Yajia LAN
;
Ning LI
;
Hongjian WANG
;
Liming QUAN
Author Information
1. 四川大学华西公共卫生学院（华西第四医院）环境卫生与劳动卫生学系，成都 610041
- Publication Type:Journal Article
- Keywords:
Occupational stress;
Insomnia;
Depression;
Anxiety
- From:
Chinese Journal of Industrial Hygiene and Occupational Diseases
2025;43(1):44-48
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To identify and evaluate the important risk factor set of anxiety and depression in occupational population, establish a risk prediction model, and provide scientific basis for making targeted mental health protection plan and promoting the mental health of workers.Methods:In August 2016, a cluster random sampling method was used to investigate 807 employees who underwent physical examination in a hospital as research objects. The simplified Chinese version of the core job content questionnaire, Athens Insomnia Scale, AIS-5 and Symptom Check List-90 (SCL-90) were used for the Occupational stress, insomnai and negative emotional symptom investigation. Chi-square and Fisher exact probability method were used for data analysis, and Bayesian network was used for model construcion and analysis.Results:The score of occupational stress was 0.88±0.15, and the incidence of occupational stress was 18.09% (146/807). AIS-5 scores were (3.03±2.82), and the incidence of insomnia was 15.99% (129/807). Depression (16.89±5.73) scores, anxiety (12.36±4.11) scores. Depression (16.89±5.73) score, anxiety (12.36±4.11) score, the detection rate was 8.55% (69/755), 7.31% (59/762). Gender, illness, education, insomnia and occupational stress were correlated with depression ( P<0.01), while education, illness, insomnia and anxiety were correlated ( P<0.05). When both occupational stress and insomnia existed, the detection rate of depression was the highest (0.4006) . Conclusion:Insomnia was a valid predictor of anxiety and depression, suggesting that occupational groups should pay attention to sleep quality and managers should rationalize work tasks in order to reduce the risk of anxiety and depression.
