Abstract：Objective To investigate the symptoms of depression and anxiety and their influencing factors among manufacturing workers in a district of Beijing Municipality, so as to provide insights into prevention and intervention of depression and anxiety among workers in this industry. Methods Frontline workers from 15 manufacturing enterprises including large, medium, and small/micro sizes were selected using the stratified random sampling method. Demographic and occupational information were investigated using the Chinese National Occupational Health Literacy Monitoring Questionnaire among Key Populations. The symptoms of depression and anxiety were assessed by the 9-item Patient Health Questionnaire and the Generalized Anxiety Disorder Scale, respectively. The influencing factors for depression and anxiety symptoms were analyzed using a multivariable logistic regression model. Results A total of 759 questionnaires were allocated and 748 valid questionnaires were recovered, with an effective recovery rate of 98.55%. The respondents included 372 people (49.73%) from 3 large enterprises, 167 people (22.33%) from 3 medium enterprises, and 209 people (27.94%) from 9 small/micro enterprises. There were 584 males, accounting for 78.07%. The median age was 39 (interquartile range, 11.00) years, and the median duration of employment was 8.50 (interquartile range, 11.00) years. Depression and anxiety symptoms were detected in 175 and 68 cases, with the detection rates were 23.40% and 9.09%, respectively. Multivariable logistic regression analysis showed that the educational level (junior high school, OR=0.305, 95%CI: 0.129-0.723), weekly working duration (≥55 h, OR=1.727, 95%CI: 1.026-2.906) and sleep disorders (OR=3.062, 95%CI: 2.127-4.407) were influencing factors for depression symptoms; educational level (junior high school, OR=0.196, 95%CI: 0.074-0.523; high school/vocational high school/technical secondary school, OR=0.171, 95%CI: 0.064-0.452; junior college and above, OR=0.187, 95%CI: 0.066-0.527), work shift (night shift, OR=2.369, 95%CI: 1.344-4.177) and sleep disorders (OR=5.411, 95%CI: 3.076-9.519) were influencing factors for anxiety symptoms. Conclusion The symptoms of depression and anxiety among manufacturing workers are mainly affected by educational level, weekly working duration, work shift and sleep disorders.
张文丽, 张丽, 胡在方, 周国伟, 胡洁. 北京市某区制造业工人抑郁、焦虑症状调查[J]. 预防医学, 2024, 36(9): 796-800.
ZHANG Wenli, ZHANG Li, HU Zaifang, ZHOU Guowei, HU Jie. Depression and anxiety symptoms among manufacturing workers in a district of Beijing Municipality. Preventive Medicine, 2024, 36(9): 796-800.
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