|
|
|
| Depression and anxiety symptoms among manufacturing workers in a district of Beijing Municipality |
| ZHANG Wenli, ZHANG Li, HU Zaifang, ZHOU Guowei, HU Jie
|
| Department of Occupational and Radiological Health, Shunyi District Center for Disease Control and Prevention,Beijing 101300, China |
|
|
|
|
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.
|
|
Received: 28 March 2024
Revised: 28 July 2024
Published: 18 September 2024
|
|
|
|
|
|
[1] CHEN S Q,WANG Y Q,SHE R.Prevalence and gender disparity of those who screen positive for depression in China by the classification of the employer and industry:a cross-sectional,population-based study[J].BMC Psychiatry,2023,23(1):1-11.
[2] World Health Organization.Mental health in the workplace[EB/OL].[2024-07-28].https://www.who.int/news-room/fact-sheets/detail/mental-health-at-work.
[3] 中华人民共和国中央人民政府.健康中国行动(2019—2030年)[EB/OL].[2024-07-28].http://www.gov.cn/xinwen/2019-07/15/content_5409694.htm.
[4] 吕虹,毕海侠,杨德华.不同职业暴露危险因素对汽车制造业工人职业健康情况的影响[J].职业与健康,2019,35(19):2607-2609.
[5] 张琼云. 广东省涉苯企业有害因素联合暴露情况及作业工人外周血细胞计数异常研究[D].广州:广州医科大学,2023.
[6] 薛潘琪,张译心,周莉芳,等.快递从业人员职业紧张、生活满意度与抑郁症状的关联研究[J].预防医学,2022,34(12):1201-1206,1211.
[7] LEE K H,CHAE C H,KIM Y O,et al.Anxiety symptoms and occupational stress among young Korean female manufacturing workers[J/OL].Ann Occup Environ Med,2015[2024-07-28].https://doi.org/10.1186/s40557-015-0075-y.
[8] 雷兰英,雷娜,曹日芳.高中学生情绪和应对方式积极心理干预效果评价[J].预防医学,2021,33(9):961-962,967.
[9] WANG W Z,BIAN Q,ZHAO Y,et al.Reliability and validity of the Chinese version of the Patient Health Questionnaire(PHQ-9)in the general population[J].Gen Hosp Psychiatry,2014,36(5):539-544.
[10] SPITZER R L,KROENKE K,WILLIAMS J B,et al.A brief measure for assessing generalized anxiety disorder:the GAD-7[J].Arch Intern Med,2006,166(10):1092-1097.
[11] NAKATA A,HARATANI T,TAKAHASHI M,et al.Job stress,social support,and prevalence of insomnia in a population of Japanese daytime workers[J].Soc Sci Med,2004,59(8):1719-1730.
[12] 蒋佶杉,王淇蕊,罗帆,等.在岗工人心理资本在其职业紧张与抑郁症状间的中介效应[J].中国当代医药,2023,30(34):145-150.
[13] WANG Y Q,LI R,ZHANG M Q,et al.The neurobiological mechanisms and treatments of REM sleep disturbances in depression[J].Curr Neuropharmacol,2015,13(4):543-553.
[14] ROSENBERG K.Shift work adversely affects mental health[J].Am J Nurs,2020,120(3):67.
[15] 马效东,秦文彦,张文珍,等.中部某省重点职业人群职业紧张、抑郁和焦虑状况分析[J].职业与健康,2024,40(8):1034-1040.
[16] LI Y X,WANG Y C,LYU X Y,et al.Effects of factors related to shift work on depression and anxiety in nurses[J].Front Public Health,2022,10:1-20.
[17] WEI F Q,CHEN W Y,LIN X T.Night-shift work,breast cancer incidence,and all-cause mortality:an updated meta-analysis of prospective cohort studies[J].Sleep Breath,2022,26(4):1509-1526.
[18] KANKI M,NATH A P,XIANG R D,et al.Poor sleep and shift work associate with increased blood pressure and inflammation in UK Biobank participants[J].Nat Commun,2023,14(1):1-15.
[19] LEE K H,KIM J E,KIM Y K,et al.Long working hours and emotional well-being in Korean manufacturing industry employees[J].Ann Occup Environ Med,2013,25(1):1-10. |
| [1] |
LIU Yudan, ZHANG Caiyun, GUO Mingmei, ZHENG Yujuan, JIA Ming, YANG Jiale, HOU Jianing, ZHAO Hua. Influencing factors for medication compliance in patients with comorbidities of chronic diseases: a meta-analysis[J]. Preventive Medicine, 2024, 36(9): 790-795,800. |
|
|
|
|
