职业与健康 ›› 2025, Vol. 41 ›› Issue (7): 930-935.

• 论著 • 上一篇    下一篇

2023年中江县第三产业5类职业人群职业健康素养监测及影响因素分析

谢军, 肖超, 李德才   

  1. 德阳市中江县疾病预防控制中心卫生监测科,四川 德阳 618000
  • 收稿日期:2024-07-18 修回日期:2024-07-29 出版日期:2025-04-01 发布日期:2025-12-17
  • 通信作者: 肖超,副主任医师,E-mail:414682260@qq.com
  • 作者简介:谢军,男,主管技师,主要从事卫生监测与职业卫生工作。

Monitoring and analysis of influencing factors of occupational health literacy among five occupational groups in tertiary industry of Zhongjiang County in 2023

XIE Jun, XIAO Chao, LI Decai   

  1. Department of Health Monitoring,Deyang Zhongjiang County Center for Disease Control and Prevention,Deyang,Sicuan 618000,China
  • Received:2024-07-18 Revised:2024-07-29 Online:2025-04-01 Published:2025-12-17
  • Contact: XIAO Chao,Associate chief physician,E-mail:414682260@qq.com

摘要: 目的 分析中江县第三产业中教师、医护人员、环卫工人、驾驶员、快递/外卖配送员5类职业人群的职业健康素养水平和影响因素,为国家制定提升职业健康素养政策提供数据依据。方法 依托2023年全国重点人群职业健康素养监测与干预项目,采用概率比例规模抽样(probability proportionate to size sampling,PPS)法进行按人口规模大小成比例的概率抽样,随机抽取全县4所学校、5个医疗卫生机构、1个环境卫生中心、11家交通运输公司、2家外卖公司和6家快递公司对其一线劳动者开展个人问卷监测。结果 本次共调查教师243人、医护人员234人、环卫工人230人、驾驶员232人、快递/外卖配送员226人。5类职业人群总体职业健康素养水平为41.72%,由高到低依次为医护人员为75.21%、教师为47.74%、驾驶员为33.62%、快递/外卖配送员为29.20%、环卫工人为21.74%,5类职业人群职业健康素养具备率差异有统计学意义(χ2=170.171,P<0.01)。不同年龄的驾驶员职业健康素养水平差异有统计学意义(P<0.05);不同婚姻状况和文化程度的医护人员职业健康素养水平差异均有统计学意义(均P<0.05);不同文化程度的环卫工人职业健康素养水平差异有统计学意义(P<0.05);不同文化程度和均每周工作时间的快递/外卖配送员职业健康素养水平差异均有统计学意义(均P<0.05);不同性别、年龄、婚姻状况、文化程度、实际平均月收入和户口性质的总人群职业健康素养水平差异均有统计学意义(均P<0.05)。多元logistic回归分析结果显示,文化程度和实际平均月收入均是总人群职业健康素养(occupational health literacy,OHL)水平独立影响因素(均P<0.05)。结论 中江县5类职业人群总体职业健康素养水平低,发生职业损伤风险较高,需特别对交通运输业、快递/外卖业、环境卫生业等行业的职业人群进行职业健康素养提升干预。

关键词: 职业健康素养, 水平, 职业人群, 监测, 影响因素

Abstract: Objective To analyze the occupational health literacy levels and influencing factors among five occupational groups in the tertiary industry of Zhongjiang County,including teachers,medical staff,sanitation workers,drivers,and express/takeaway delivery personnel,in order to provide data basis for the country to formulate policies to improve occupational health literacy. Methods Relying on the 2023 national key population occupational health literacy monitoring and intervention program,probability proportionate to size sampling(PPS) method was used to carry out probability sampling proportional to population size. Four schools,five medical and health institutions,one environmental health center,eleven transportation companies,two food delivery companies,and six express delivery companies in the county were randomly selected to conduct personal questionnaire monitoring of their frontline workers. Results A total of 243 teachers,234 medical staff,230 sanitation workers,232 drivers,and 226 express/delivery personnel were surveyed in this survey. The overall occupational health literacy level among the five occupational groups was 41.72%,ranked from high to low as follows:medical staff at 75.21%,teachers at 47.74%,drivers at 33.62%,express/takeaway delivery workers at 29.20%,and sanitation workers at 21.74%. There was a statistically significant differences in the occupational health literacy rates among the five occupational groups(χ2=170.171,P<0.01). There was a statistically significant difference in the occupational health literacy level of drivers of different ages(P<0.05). There were statistically significant differences in the occupational health literacy levels of medical staff with different marital statuses and educational level(both P<0.05). There was a statistically significant difference in the occupational health literacy level of sanitation workers with different educational levels(P<0.05). There were statistically significant differences in the occupational health literacy levels of express/takeaway delivery personnel with different educational levels and average weekly working hours(both P<0.05). There were statistically significant differences in the occupational health literacy level of the total population with different gender,age,marital status,educational level,actual average monthly income,and household registration type(all P<0.05). The results of multivariate logistic regression analysis showed that educational level and actual average monthly income were independent influencing factors affecting the level of occupational health literacy in the general population(all P<0.05). Conclusion The overall occupational health literacy level among the five occupational groups in Zhongjiang County is low,indicating a higher risk of occupational injuries. Special interventions are needed to enhance the occupational health literacy of workers in the transportation,express/delivery,and environmental health industries.

Key words: Occupational health literacy, Level, Occupational groups, Monitoring, Influencing factors

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