华南预防医学 ›› 2026, Vol. 52 ›› Issue (2): 138-143.doi: 10.12183/j.scjpm.2026.0138

• 论著 • 上一篇    下一篇

六安市四类重点人群职业健康素养水平及影响因素

程婷婷, 黄瑞, 唐昆, 刘磊   

  1. 六安市疾病预防控制中心,安徽 六安 237000
  • 收稿日期:2025-05-13 出版日期:2026-02-20 发布日期:2026-03-17
  • 通讯作者: 刘磊,E-mail:llei@lacdc.com.cn
  • 作者简介:程婷婷(1991—),女,大学本科,主管医师,主要从事职业病防治工作

Occupational health literacy levels and influencing factors among four key populations in Lu'an

Cheng TingTing, Huang Rui, Tang Kun, Liu Lei   

  1. Lu'an Center for Disease Control and Prevention, Lu'an, Anhui 237000, China
  • Received:2025-05-13 Online:2026-02-20 Published:2026-03-17

摘要: 目的 分析六安市四类重点人群职业健康素养水平及影响因素,为制定职业健康素养干预政策提供依据。方法 采用分层多阶段整群随机抽样方法,于2022—2024年共抽取六安市辖区内四类重点人群33家用人单位一线工人进行网络问卷调查;调查内容包括人口学信息、职业健康素养状况等,采用logistic回归分析模型和列线图预测模型分析影响因素。结果 六安市四类重点人群职业健康素养调查覆盖33家企业1 087名一线劳动者,男性居多(76.54%),平均年龄(38.55±10.25)岁,以非金属矿采选业(69.73%)、小微型企业(44.89%)、民营企业(55.29%)为主。1 087名劳动者的职业健康素养总体水平为52.53%。四个维度职业健康素养水平从高到低分别为职业健康保护基本知识(89.97%),健康工作方式和行为(72.95%)、职业健康法律知识(59.25%)、职业健康保护基本技能(28.15%)。Logistic回归分析结果显示,行业分类、经济类型、年龄和文化程度是六安市四类重点人群职业健康素养总体水平的影响因素。纺织服装、服饰业(OR=0.126)和非金属矿物制品业(OR=0.253)低于非金属矿采选业,民营企业低于国有企业(OR=0.542);≥50岁组低于<30岁组(OR=0.541);大专及以上文化程度者显著高于小学及以下文化程度者(OR=3.576)(均P<0.05)。通过列线图预测模型显示,行业分类和文化程度对职业健康素养总体水平影响最为显著。结论 六安市四类重点人群职业健康素养总体水平仍存在较大提升空间,需对职业健康保护基本技能和职业健康法律知识开展针对性培训,干预重点应聚焦纺织服装、服饰业、低学历水平劳动者并制定精准化、差异化的干预策略。

关键词: 重点人群, 职业健康素养, 影响因素, 干预策略

Abstract: Objective To analyze the level of occupational health literacy and its determinants among four key occupational populations in Lu'an City, thereby providing an evidentiary basis for the formulation of targeted intervention policies. Methods A stratified, multi-stage cluster random sampling method was employed between 2022 and 2024 to survey frontline workers from 33 enterprises representing four key populations in Lu'an City. Data on demographic information and occupational health literacy were collected via an online questionnaire. Logistic regression analysis and a nomogram prediction model were utilized to identify influencing factors. Results The survey covered 1 087 frontline workers, who were predominantly male (76.54%) with a mean age of 38.55 ± 10.25 years. Participants were mainly from the non-metallic mineral mining and dressing industry (69.73%), small and micro-sized enterprises (44.89%), and private enterprises (55.29%). The overall occupational health literacy level was 52.53%. Literacy levels for the four dimensions, ranked from highest to lowest, were: basic knowledge of occupational health protection (89.97%), healthy work practices and behaviors (72.95%), knowledge of occupational health laws (59.25%), and basic skills for occupational health protection (28.15%). Logistic regression analysis indicated that industry category, economic ownership type, age, and educational attainment were significant determinants of overall occupational health literacy. Workers in the textile and apparel industry (OR=0.126) and the non-metallic mineral products industry (OR=0.253) had lower literacy levels compared to those in the non-metallic mineral mining and dressing industry. Private enterprise employees showed lower literacy than their counterparts in state-owned enterprises (OR=0.542). The ≥50 years age group had lower literacy than the <30 years age group (OR=0.541). Individuals with a college degree or higher had significantly greater literacy than those with a primary school education or below (OR=3.576) (all P<0.05). The nomogram model revealed that industry category and educational attainment were the most significant predictors of overall occupational health literacy. Conclusion The overall level of occupational health literacy among the four key populations in Lu'an City requires substantial improvement. Interventions should prioritize targeted training on basic occupational health protection skills and legal knowledge. These efforts should specifically focus on workers in the textile and apparel industry and individuals with lower educational levels, employing precise and differentiated strategies.

Key words: Key populations, Occupational health literacy, Influencing factors, Intervention strategies

中图分类号: 

  • R135