Analyzing the occupational health literacy level and its influencing factors among six key occupational populations in the Jiulongpo District, Chongqing City
10.20001/j.issn.2095-2619.20250211
- VernacularTitle:重庆市九龙坡区6个重点行业人群职业健康素养水平及其影响因素分析
- Author:
Yu LUO
1
;
Shimin DENG
;
Yuqin WEN
Author Information
1. Jiulongpo District Center for Disease Control and Prevention, Chongqing 400039, China
- Publication Type:Journal Article
- Keywords:
Occupational health literacy;
Key industry;
Occupational population;
Occupational health;
Influencing factor
- From:
China Occupational Medicine
2025;52(1):66-70
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate the occupational health literacy (OHL) level and its influencing factors among individuals of six key industries from Jiulongpo District, Chongqing City. Methods A total of 2 022 frontline workers from six key industries in the Jiulongpo District of Chongqing City were selected as the research subjects using a cluster sampling method. The OHL level of the workers were assessed using the Occupational Health Literacy Questionnaire of National Key Populations. Results The overall OHL level among the 2 022 frontline workers was 51.43%. The OHL level in the four dimensions of basic knowledge of occupational health protection, healthy work practices and behaviors, legal knowledge of occupational health, and basic skills of occupational health protection were 81.45%, 56.08%, 43.42%, and 37.59%, respectively. The OHL levels of the six key industries from high to low were electrical machinery and equipment manufacturing, healthcare, education, express delivery/food delivery, transportation, and environmental hygiene, accounted for 91.43%, 61.98%, 52.64%, 40.58%, 36.70% and 31.15% (P<0.01). The results of logistic regression analysis showed that population of Han had higher OHL level than ethnic minorities (P<0.01), married individuals had lower OHL level than unmarried individuals (P<0.05), individuals with college education or above had higher OHL level than those with junior high school education or below (P<0.01), and higher personal monthly income was associated with higher OHL levels (all P<0.05). The OHL levels of workers of environmental hygiene, transportation, education, express delivery/food delivery, and healthcare were lower than those in electrical machinery and equipment manufacturing (all P<0.01). Conclusion The OHL level among occupational populations in the six key industries in Jiulongpo District, Chongqing City, needs to be further improved. And the OHL monitoring and intervention should be focused on the occupational population of express delivery/food delivery industry, transportation, environmental hygiene, and occupational population with low income, low educated, and ethnic minorities.
