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Objective: To analyze the status of noise hazard in workplace of key industries in Guangdong Province. Methods: A total of 1 061 enterprises from 14 key industries in 21 prefecture-level cities in Guangdong Province were selected as the research subjects using stratified sampling method. The occupational health survey was carried out, and the noise intensity in the workplace was detected. Results: There were 12 606 workplaces and 5 570 work sites involved among 1 061 enterprises. The median and the 0-100th percentile value ［M (P0-P100)］ of noise intensity in workplace were 82.6 (46.5-112.6) dB(A), and 35.03% of the workplace exceeded the national noise intensity standard. The regions and industry with the highest rate of noise exceeded the national noise intensity standard in workplace were in the northern part of Guangdong and the stone processing industry respectively. The M (P0-P100) of noise intensity in the work sites was 83.7 (47.5-106.2) dB(A), and 36.00% of the work sites exceeded the national noise intensity standard. The regions and industry with the highest rate of noise exceeded the national noise intensity standard in work sites were in the Pearl River Delta region and the ferrous metal mining and dressing industry respectively. The rate of noise protection facilities setting was 66.45%, and the validity of personal protection was 61.73%. The occupational medical examination was performed in 73.24% of the research subjects, and 3.25% of the result was abnormal. The industry with the highest occupational medical examination rate was nonferrous metal smelting and rolling processing, and the industry with the highest abnormal rate of occupational medical examination was stone processing industry. Conclusion: Noise hazards in workplaces of key industries in Guangdong Province are relatively severe, necessitating strengthened supervision and management, noise control measures, and efforts to reduce noise exposure levels in workplaces and work sites.
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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.