The Status of Occupational Burnout and Its Influence on the Psychological Health of Factory Workers and Miners in Wulumuqi, China.

Yaoqin Lu, Zhe Zhang, Sunyujie Gao, Huan Yan, Lijiang Zhang, Jiwen Liu
Author Information
  1. Yaoqin Lu: Department of Occupational and Environmental Health, College of Public Health, Xinjiang Medical University, Wulumuqi, Xinjiang, China 830011.
  2. Zhe Zhang: Department of Occupational and Environmental Health, College of Public Health, Xinjiang Medical University, Wulumuqi, Xinjiang, China 830011.
  3. Sunyujie Gao: Department of Science and Education, Wulumuqi Center for Disease Control and Prevention, Wulumuqi, Xinjiang, China 830026.
  4. Huan Yan: Xinjiang Engineering Technology Research Center for Green Processing of Nature Product Center, Xinjiang Autonomous Academy of Instrumental Analysis, Urumqi, Xinjiang, China 830011.
  5. Lijiang Zhang: Department of Occupational Disease Prevention and Control, Wulumuqi Center for Disease Control and Prevention, Wulumuqi, Xinjiang, China 830026.
  6. Jiwen Liu: Department of Occupational and Environmental Health, College of Public Health, Xinjiang Medical University, Wulumuqi, Xinjiang, China 830011. ORCID

Abstract

The purpose of this study was to investigate the status of occupational burnout and its influence on the psychological health of factory workers and miners, in order to provide theoretical basis and reference for alleviating occupational burnout and promoting psychological health. The cross-sectional study investigated 6130 factory workers and miners with online questionnaire; the Chinese Maslach Burnout Inventory (CMBI) and Symptom Check List-90 (SCL-90) were used. In total, 6120 valid questionnaires were collected; effectiveness was 99.8%. The percentage of the factory workers and miners suffering from occupational burnout was 85.98% and psychological health problems was 38.27%. A statistically significant difference was observed in relation to the prevalence of occupational burnout among factory workers and miners of different sex, education level, labor contracts, work schedule, monthly incomes, weight, hypertension, age, working years, working hours per day, working hours per week, coal dust, silica dust, asbestos dust, benzene, lead, and noise. The detection rate of psychological health was higher for males than females. The detection rate of psychological health was higher for working days per week less than 5 days than more than 5 days. The detection rate of psychological health with high school education, senior professional title, night shift, divorced, monthly income less than 3000 yuan, weight more than 75 kg, age more than 45 years, and working years between 25 and 30 years was higher than that of the other groups. The results showed that sex, education level, professional title, work schedule, monthly income, hypertension, age, working years, asbestos dust, benzene, and occupational burnout affected psychological health among factory workers and miners. Factory workers and miners had high levels of occupational burnout, and occupational burnout was a risk factor that can lead to psychological health.

References

  1. Annu Rev Psychol. 2001;52:397-422 [PMID: 11148311]
  2. J Affect Disord. 2014 May;160:98-103 [PMID: 24445132]
  3. Scand J Work Environ Health. 2015 Nov;41(6):511-8 [PMID: 26332434]
  4. Scand J Occup Ther. 2018 Jul;25(4):278-287 [PMID: 28276962]
  5. J Nurs Manag. 2011 Sep;19(6):760-8 [PMID: 21899629]
  6. J Law Enforc Leadersh Ethics. 2014 Mar;1(1):31-48 [PMID: 28480317]
  7. Ann Epidemiol. 2008 Oct;18(10):768-74 [PMID: 18693039]
  8. J Psychosom Res. 2011 Jun;70(6):505-24 [PMID: 21624574]
  9. BMC Public Health. 2019 May 29;19(1):655 [PMID: 31142318]
  10. Int Arch Occup Environ Health. 2016 Feb;89(2):277-88 [PMID: 26168715]
  11. Menopause. 2009 Nov-Dec;16(6):1139-48 [PMID: 19458559]
  12. Scand J Public Health. 2015 Aug;43(6):638-47 [PMID: 25964126]
  13. BMC Psychiatry. 2015 Nov 04;15:272 [PMID: 26530329]
  14. J Affect Disord. 2012 Nov;140(3):215-21 [PMID: 22284020]
  15. J Environ Public Health. 2013;2013:150693 [PMID: 23690799]
  16. Occup Med (Lond). 2016 Oct;66(7):564-70 [PMID: 27412428]
  17. Int J Environ Res Public Health. 2019 Jan 27;16(3): [PMID: 30691186]
  18. Int J Environ Res Public Health. 2015 Dec 01;12(12):15154-61 [PMID: 26633442]
  19. Medicine (Baltimore). 2018 Apr;97(15):e0323 [PMID: 29642166]
  20. Ann Glob Health. 2015 Jul-Aug;81(4):465-74 [PMID: 26709277]
  21. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi. 2009 Mar;27(3):156-9 [PMID: 19497223]
  22. Alaska Med. 2007;49(2 Suppl):261-6 [PMID: 17929646]
  23. Kans J Med. 2019 May 15;12(2):33-39 [PMID: 31191807]
  24. Int J Environ Res Public Health. 2017 Aug 03;14(8): [PMID: 28771199]
  25. Int J Psychophysiol. 2013 May;88(2):124-35 [PMID: 23562766]
  26. Psychol Rep. 2012 Jun;110(3):801-19 [PMID: 22897086]
  27. Br J Psychiatry. 1997 Dec;171:519-23 [PMID: 9519089]
  28. Int J Environ Res Public Health. 2017 Jan 05;14(1): [PMID: 28067780]
  29. BMC Public Health. 2017 Mar 16;17(1):264 [PMID: 28302088]

MeSH Term

Adult
Asbestos
Burnout, Professional
China
Cross-Sectional Studies
Dust
Female
Humans
Male
Manufacturing and Industrial Facilities
Mental Health
Middle Aged
Miners
Prevalence
Risk Factors
Stress, Psychological
Surveys and Questionnaires
Young Adult

Chemicals

Dust
Asbestos

Word Cloud

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