H Y Zhang, N Zhou, X Z Li, P T Liao, Y H He, W L Zhao
{"title":"[Health literacy level and influencing factors of eight occupational groups in Gansu Province in 2022].","authors":"H Y Zhang, N Zhou, X Z Li, P T Liao, Y H He, W L Zhao","doi":"10.3760/cma.j.cn121094-20240306-00087","DOIUrl":null,"url":null,"abstract":"<p><p><b>Objective:</b> To investigate the level of occupational health literacy (OHL) of key populations in Gansu Province in 2022, analyze the influencing factors, and provide a scientific basis for the formulation of health education measures for occupational populations. <b>Methods:</b> From April to December 2022, a stratified cluster random sampling method was adopted to select 11472 workers engaged in frontline jobs in 8 key industries across 86 counties and districts in Gansu Province as the research subjects. The \"National Occupational Health Literacy Monitoring and Survey Personal Questionnaire\" was used to investigate their OHL. The content includes basic demographic information and occupational health literacy level, and the chi-square test analysis was carried out by SPSS 23.0 software, and the influencing factors were analyzed by logistic regression analysis model. <b>Results:</b> In 2022, a total of 11 118 valid questionnaires were completed in Gansu Province, and the OHL level of key populations in Gansu Province was 48.3%. The OHL levels of occupational health legal knowledge, basic knowledge of occupational health protection, basic skills of occupational health protection and healthy working methods were 50.3%, 81.7%, 33.1% and 63.3%, respectively. In the eight key industries, the OHL level of workers from high to low is: ferrous and non-ferrous metal smelting and rolling processing industry (56.6%) , non-metallic mineral products industry (56.5%) , ferrous and non-ferrous metal mining and dressing industry (54.3%) , environmental sanitation industry (50.3%) , medical and health industry (49.9%) , education industry (40.9%) , transportation industry (40.4%) , and express delivery/takeaway delivery industry (23.3%) . The results of logistics regression analysis showed that gender, age, ethnicity, marital status, education level, average monthly income, nature and scale of employers, and length of service were the influencing factors of OHL level of front-line workers in eight industries in Gansu Province (all <i>P</i><0.05) . <b>Conclusion:</b> In 2022, the OHL level of key populations in Gansu Province was 48.3%, which needs to be further improved. Occupational health publicity should be strengthened for low-income, low-educated, newly recruited, young and micro-enterprise occupational groups.</p>","PeriodicalId":23958,"journal":{"name":"中华劳动卫生职业病杂志","volume":"43 4","pages":"280-288"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中华劳动卫生职业病杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3760/cma.j.cn121094-20240306-00087","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To investigate the level of occupational health literacy (OHL) of key populations in Gansu Province in 2022, analyze the influencing factors, and provide a scientific basis for the formulation of health education measures for occupational populations. Methods: From April to December 2022, a stratified cluster random sampling method was adopted to select 11472 workers engaged in frontline jobs in 8 key industries across 86 counties and districts in Gansu Province as the research subjects. The "National Occupational Health Literacy Monitoring and Survey Personal Questionnaire" was used to investigate their OHL. The content includes basic demographic information and occupational health literacy level, and the chi-square test analysis was carried out by SPSS 23.0 software, and the influencing factors were analyzed by logistic regression analysis model. Results: In 2022, a total of 11 118 valid questionnaires were completed in Gansu Province, and the OHL level of key populations in Gansu Province was 48.3%. The OHL levels of occupational health legal knowledge, basic knowledge of occupational health protection, basic skills of occupational health protection and healthy working methods were 50.3%, 81.7%, 33.1% and 63.3%, respectively. In the eight key industries, the OHL level of workers from high to low is: ferrous and non-ferrous metal smelting and rolling processing industry (56.6%) , non-metallic mineral products industry (56.5%) , ferrous and non-ferrous metal mining and dressing industry (54.3%) , environmental sanitation industry (50.3%) , medical and health industry (49.9%) , education industry (40.9%) , transportation industry (40.4%) , and express delivery/takeaway delivery industry (23.3%) . The results of logistics regression analysis showed that gender, age, ethnicity, marital status, education level, average monthly income, nature and scale of employers, and length of service were the influencing factors of OHL level of front-line workers in eight industries in Gansu Province (all P<0.05) . Conclusion: In 2022, the OHL level of key populations in Gansu Province was 48.3%, which needs to be further improved. Occupational health publicity should be strengthened for low-income, low-educated, newly recruited, young and micro-enterprise occupational groups.