Influencing factors of drinking behavior of manufacturing workers and its influence on their quality of life
10.11763/j.issn.2095-2619.2019.01.011
- Author:
Siyang YE
1
;
Zhengyou CHEN
;
Yibing QIU
Author Information
1. School of Public Health, Guangdong Medical University Zhanjiang, Guangdong 524023, China
- Publication Type:Journal Article
- Keywords:
Manufacturing;
Workers;
Drinking;
Health status;
Influencing factors;
Quality of life
- From:
China Occupational Medicine
2019;46(01):55-60
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE: To analyze the influencing factors of drinking behavior of manufacturing workers and their impact on their quality of life. METHODS: A total of 594 manufacturing workers were selected as research subjects using stratified cluster sampling method. Their drinking behavior, physical activity status and quality of life were investigated by the Drinking Behavior Questionnaire, International Physical Activity Questionnaire-Short Form and Short Form 36 Health Survey Questionnaire, respectively. RESULTS: The overall drinking rate of the subjects was 32.2%(191/594). Multivariate logistic regression analysis results showed that male workers had higher risk of drinking behavior than female workers(P<0.01). The risk of drinking behavior of smoking workers was higher than that of non-smokers(P<0.01). The risk of drinking behavior of workers with medium or high physical activity levels was higher than that of workers with low activity levels(P<0.01). The results of multiple linear regression analysis showed that after adjusting for the effects of gender, age, marital status, education level, monthly income, household registration, length of service, work shift, weekly work hours, industry type, smoking, physical activity level and other confounding factors, drinking did not affect the physical or psychological quality of life of workers(P>0.05). CONCLUSION: Gender, smoking and physical activity may be important factors influencing the drinking behavior of manufacturing workers. Drinking may have no effect on quality of life of manufacturing workers.
