Status and influencing factors of occupational health literacy among workers in automobile manufacturing industry in Beijing City
10.20001/j.issn.2095-2619.20230807
- VernacularTitle:北京市汽车制造业工人职业健康素养现况及其影响因素
- Author:
Dan WU
1
;
Li HU
;
Li ZHANG
;
Dan LIU
;
Zhi WANG
;
Yan YE
Author Information
1. Beijing Center for Diseases Prevention and Control, Beijing 100020, China
- Publication Type:Journal Article
- Keywords:
Occupational health literacy;
Workers;
Automobile manufacturing industry;
Inventory survey;
Influencing factor
- From:
China Occupational Medicine
2023;50(4):405-409
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the current status and influencing factors of occupational health literacy(OHL) among workers in automobile manufacturing industry in Beijing City. Methods A total of 1 639 frontline workers from 15 automobile manufacturing enterprises in Beijing City were selected using stratified cluster sampling method. The National Occupational Health Literacy Monitoring for Key Groups Questionnaire was used to investigate the OHL of the workers. Results The overall awareness of OHL was 60.5% in these 1 639 automobile manufacturing workers. The awareness of OHL in the four dimensions, from high to low, were basic knowledge of occupational health protection, info of healthy working style and behaviors, legal knowledge of occupational health and basic skills of occupational health protection (82.1% vs 73.2% vs 57.5% vs 43.3%, P<0.01). The multivariate logistic regression analysis results showed that gender, marriage status, education level, personal monthly income and enterprise scale were influencing factors of OHL of automobile manufacturing workers (all P<0.05). Conclusion The OHL awareness among workers of automobile manufacturing industry in Beijing City, especially the basic skills of occupational health protection and the legal knowledge of occupational health, needs to be improved. It is essential to focus on promotion and intervention of occupational health in female workers, those with low education levels, low-income levels, and workers in small- and medium-sized enterprises.
