Prevalence and influencing factors of occupational stress and sleep disorders among 3 key occupational groups in Guizhou Province
- VernacularTitle:贵州省3类重点职业人群职业紧张和睡眠障碍现状与影响因素
- Author:
Wenlei HE
1
;
Junhong YANG
1
;
Yaoyao HE
1
;
Shaofang YANG
1
;
Songlin JIAO
1
Author Information
- Publication Type:Investigation
- Keywords: key occupational population; occupational stress; sleep disorders; influencing factor
- From: Journal of Environmental and Occupational Medicine 2024;41(11):1257-1262
- CountryChina
- Language:Chinese
-
Abstract:
Background Working night shifts is common in the secondary industry workers, and usually with long weekly working hours. They are prone to occupational stress and sleep disorders, which may seriously affect their physical and mental health and work efficiency. Objective To investigate the current situation and influencing factors of occupational stress and sleep disorders among three key occupational groups in Guizhou Province, and provide a basis for formulating intervention measures. Methods A stratified random cluster sampling method was used to select
11552 workers as the research subjects from three occupational groups in Guizhou Province. A survey on occupational stress and sleep disorders was conducted using the National Key Population Occupational Health Literacy Monitoring Survey Personal Questionnaire. Results A total of9956 valid questionnaires were recovered (86.18%). The positive rates of occupational stress and sleep disorders among the three key occupational groups in Guizhou Province were 22.6% and 40.6%, respectively. No differences were found among those by individual characteristics (P>0.05). There was a statistically significant difference in reporting sleep disorders among the occupational groups by industry (P<0.05), with the highest rate observed in the production and supply industries of electricity, heat, gas, and water (47.9%). The results of logistic regression analysis showed that company size, weekly working hours, sleep disorders, length of service, night shift, monthly income, and gender were all independent influencing factors of occupational stress in the target population (P <0.05); occupational stress, weekly working hours, marital status, industry, educational level, night shift, household type, monthly income, and age were all independent influencing factors for sleep disorders in the target population (P <0.05). Conclusion The positive rates of occupational stress and sleep disorders are high among the three key occupational groups in Guizhou Province, with sleep disorders particularly prominent in the production and supply industries of electricity, heat, gas, and water. Special attention should be paid to sleep disorders in individuals of the industry of the production and supply industries of electricity, heat, gas, and water, under 40 years old, widowed or divorced, with low education, low income, working night shifts, long weekly working hours, and experiencing occupational stress.
