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China Occupational Medicine ; (6): 410-414, 2023.
Article in Chinese | WPRIM | ID: wpr-1003876

ABSTRACT

Objective To investigate the awareness of occupational health knowledge and concept of front-line workers in the automobile manufacturing industry. Methods A total of 1 188 front-line workers from 47 automobile manufacturing enterprises in Guangdong Province were selected as the research subjects using the judgment sampling method. The awareness of occupational health knowledge and concept of the workers was investigated using the Personal Questionnaire for National Survey of Occupational Health Literacy for Key Populations. Results The median (25th and 75th percentiles) awareness of occupational health knowledge and concept among the research subjects was 56.00% (44.00%, 64.00%). The awareness was higher among male workers than female workers (P<0.05). The awareness was higher among married workers than workers with other marital status (P<0.05). The awareness of workers with an education level of middle school or below was lower than those in the senior high school and junior college group and bachelor's degree or above group (all P<0.05). The awareness of workers in the group with personal monthly income <5 000 was lower than that in the other two income groups with personal monthly income ≥5 000 (all P<0.05). The awareness of workers in medium and large enterprises was higher than that of workers in small and micro enterprises (all P<0.05). The awareness of workers in foreign-funded enterprises was higher than that in private enterprises and other enterprises (all P<0.05). The awareness of workers with job tenure >5-10 and >10 years was higher than that in workers with job tenure of 1-≤5 years (P<0.05). The awareness for the 25 items of occupational health knowledge and concept among the research subjects ranged from 6.14% to 96.72%, with an average awareness of 54.46% for the 25 items. Conclusion The awareness of occupational health knowledge and concept of front-line workers in automobile manufacturing industry is not high in general, and it is influenced by gender, marriage status, education level, personal monthly income, enterprise nature and scale, and job tenure.

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