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Occupational health literacy refers to the awareness and ability of workers to obtain basic knowledge of occupational health, practice healthy working styles and lifestyles, prevent the risk of occupational and work-related diseases, and maintain and promote their own health. In 2022, for the first time, China carried out nationwide monitoring for occupational health literacy of key populations. The National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention was responsible for technical support, formulating the National Technical Plan for Occupational Health Literacy Monitoring and Intervention of Key Populations, and formulating relevant requirements and specifications for monitoring purposes, monitoring scope and objects, sampling methods, monitoring content and methods, organization and implementation of field investigation, and quality control. In addition, the National Occupational Health Literacy Monitoring Questionnaire for Key Groups was provided, and the monitoring and intervention of occupational health literacy for key groups in the second- and third-key industries has been organized nationwide, so as to understand the occupational health literacy of the occupational population in China and provide important support for promotion of high-quality construction of healthy China.
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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.
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Objective To explore the effects and influencing factors of traditional occupational health training on occupational health literacy (OHL) of employees in micro-, small- and medium-sized enterprises. Methods A total of 540 employees from 154 micro-, small- and medium-sized enterprises, who participated (347 employees) and not-participated (193 employees) in traditional occupational health training, and 171 community residents/students (not-participated in occupational health training) were selected as the research subjects using the convenient sampling method. The OHL level was investigated using Occupational Health Literacy Questionnaire of National Key Populations. Results The overall OHL level of employees was 43.3% (234/540). Among them, the overall OHL level of untrained and trained employees was 38.9% and 45.8%, respectively, and the overall OHL level of community residents/students was 43.3%. The results of multivariate logistic regression analysis showed that the higher the educational level, the higher the OHL level (all P<0.01). The OHL level of untrained and trained employees was higher than that of untrained community residents/students (all P<0.05). The interaction of education level and training status had no statistical difference on the OHL level of the research subjects (P>0.05). The results of factorial design analysis of variance showed that the overall OHL score rate of untrained employees and trained employees was higher than that of untrained community residents/students (all P<0.05). However, there was no significant difference in overall OHL score rate between untrained and trained employees (P>0.05). Conclusion The role of traditional occupational health training in improving the OHL level of employees in micro-, small- and medium-sized enterprises needs to be improved. The responsibility of enterprise occupational health training should be implemented, and multiple measures should be taken to enrich the ways and approaches of occupational health education for enterprise employees, to effectively improve the OHL of workers.
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Objective To analyze the awareness of occupational health literacy (OHL) and its influencing factors among occupational population in key industries of Guizhou Province in 2022. Methods A total of 11 153 workers from eight key industries in 88 counties and districts of Guizhou Province was selected as the research subjects in 2022 using a stratified cluster sampling method. The OHL levels were surveyed using the Occupational Health Literacy Questionnaire of National Key Populations. Results The overall OHL level of the research subjects in 2022 was 57.7%. The OHL levels of basic knowledge of occupational health protection, healthy lifestyle and behavior, legal knowledge of occupational health, and basic skills of occupational health protection were 79.6%, 69.7%, 60.0%, and 42.0%, respectively. The overall OHL level of the tertiary industry population was higher than that of the secondary industry (59.8% vs 54.9%, P<0.01). The overall OHL levels of occupational population in the eight key industries from high to low were medical and health, electric heating water supply, environmental health, transportation, non-metallic mineral products, express delivery/take-out,education and coal mining, with the overall OHL level of 82.5%, 64.2%, 64.0%, 55.9%, 52.8%, 48.8%, 46.1% and 44.7%, respectively (P<0.01). The results of logistic regression analysis showed that gender, age, ethnicity, marital status, educational level, personal monthly income, length of employment, and industry category were independent influencing factors of OHL levels (all P<0.05). The OHL level of females was higher than that of males (P<0.01). The older age, higher educational level, and higher personal monthly income were associated with higher OHL levels in workers (all P<0.01). The OHL level of Han population was higher than that of Miao and other ethnic groups (all P<0.01). The OHL level of unmarried population was higher than that of married and widowed/divorced population (all P<0.01). The OHL level of workers with less than 3.0 years of employment was lower than that of workers with 3.0 - < 6.0 and 6.0 - < 10.0 years of employment (all P<0.01). The OHL level of workers in the tertiary industry was higher than that in the secondary industry (P<0.01). Conclusion The OHL level of occupational population in Guizhou Province needs to be further improved. Special attention should be paid to the industry of coal mining and selection, education, express delivery/take-out, and occupational population in ethnic minority areas, low educated, low-income, and newly employed occupational population.
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Objective To analyze the level of occupational health literacy (OHL) and its influencing factors among key populations in China. Methods The front-line workers from 31 provinces, autonomous regions, municipalities, and Xinjiang Production and Construction Corps in China were selected as the research subjects using a combination of stratified cluster random sampling and probability proportional sampling. The Occupational Health Literacy Questionnaire of National Key Populations was used to investigate the OHL level. Results In 2022, a total of 340 506 people from 23 industries were surveyed. Among them, 168 455 and 172 051 people were surveyed in the secondary and tertiary industries, respectively. The OHL level of the research subjects was 52.6%. The OHL levels of workers in the secondary and tertiary industries were 56.5% and 48.9%, respectively. The results of multivariate logistic regression analysis showed that gender, age, marital status, educational level, household registration, monthly income, employment nature, years of service and industry category were independent influencing factors for OHL level of the research subjects (all P<0.01). Specifically, females had a higher OHL level than males (P<0.01); the older the age, the higher the education level, the higher the monthly income level, the higher the OHL level (all P<0.01); the level of OHL in unmarried people was higher than that in married people (P<0.01); the OHL level of workers with non-agricultural household registration was higher than that of workers with agricultural household registration (P<0.01); the OHL levels of workers in state-owned enterprises, foreign-funded enterprises and public institutions were higher than those in private enterprises (all P<0.01); the level of OHL in the group with 21.0-43.0 years of service was lower than that in the other years of service groups (all P<0.01); the OHL level of workers in the secondary industry was higher than that in the tertiary industry (P<0.01). Conclusion The workers in the key industries selected by the tertiary industry, the private enterprises in the secondary industry, those with more than 21.0 years of service, and the disadvantaged groups with younger age low income, low education level, and the agricultural household registration are the key groups for the improvement of OHL level in the future. Appropriate intervention methods and strategies should be actively explored to improve the OHL of these key populations.