梁永锡, 刘可平, 陈浩, 冯简青. 某市电子行业企业劳动者职业健康素养水平及其影响因素分析[J]. 职业卫生与应急救援, 2024, 42(6): 761-766. DOI: 10.16369/j.oher.issn.1007-1326.2024.06.012
引用本文: 梁永锡, 刘可平, 陈浩, 冯简青. 某市电子行业企业劳动者职业健康素养水平及其影响因素分析[J]. 职业卫生与应急救援, 2024, 42(6): 761-766. DOI: 10.16369/j.oher.issn.1007-1326.2024.06.012
LIANG Yongxi, LIU Keping, CHEN Hao, FENG Jianqing. Investigation on occupational health literacy levels and influencing factors of workers in electronics industries in a city[J]. Occupational Health and Emergency Rescue, 2024, 42(6): 761-766. DOI: 10.16369/j.oher.issn.1007-1326.2024.06.012
Citation: LIANG Yongxi, LIU Keping, CHEN Hao, FENG Jianqing. Investigation on occupational health literacy levels and influencing factors of workers in electronics industries in a city[J]. Occupational Health and Emergency Rescue, 2024, 42(6): 761-766. DOI: 10.16369/j.oher.issn.1007-1326.2024.06.012

某市电子行业企业劳动者职业健康素养水平及其影响因素分析

Investigation on occupational health literacy levels and influencing factors of workers in electronics industries in a city

  • 摘要:
    目的 了解某市电子行业企业劳动者职业健康素养水平及其影响因素,为提升该行业劳动者职业健康素养水平提供依据。
    方法 2023年1—7月,采用立意抽样法,选择9家电子行业企业的劳动者为研究对象,采用中国劳动者职业健康素养问卷,调查职业健康素养状况,采用logistic回归分析其影响因素。
    结果 本研究实际调查480人,回收有效问卷468份,有效回收率为97.50%。总体职业健康素养水平为44.87%(210/468),4个维度水平从高到低依次为职业健康保护基本知识(77.35%)、健康工作方式和行为(47.65%)、职业健康保护基本技能(30.34%)、职业健康法律知识(26.07%)。多因素logistic回归分析结果显示:劳动者的受教育程度、月收入水平、目前岗位工龄以及工种是电子行业劳动者职业健康素养水平的影响因素。其中,相对于小学及以下学历劳动者,大学专科及以上学历劳动者的职业健康素养水平较高(OR=5.128,95% CI:1.017~25.865);相对于平均月收入 < 3 000元劳动者,平均月收入在5 000~ < 7 000元劳动者职业健康素养水平较高(OR=5.853,95% CI:1.104~31.032);相对于目前岗位工龄≥ 10年劳动者,目前岗位工龄≤ 1年的劳动者职业健康素养水平更高(OR=3.012,95% CI:1.093~8.298);相对于生产员工,管理人员职业健康素养水平更高(OR=3.070,95% CI:1.636~5.759);以上差异均有统计学意义(P < 0.05)。
    结论 该市电子行业企业劳动者职业健康素养水平低于全国重点人群职业健康素养水平,尤其体现在职业健康法律知识维度上。无管理职能的生产员工、在岗工龄超过10年、低学历、低收入的劳动者是电子行业企业职业健康素养水平提升的重点人群。

     

    Abstract:
    Objective To understand the occupational health literacy levels of workers in the electronics industries in a city and their influencing factors, providing a basis for improving the occupational health literacy levels of workers in this industry.
    Methods From January to July 2023, a judgment sampling method was used to select workers from 9 electronics industry enterprises as research subjects. The Chinese Workers' Occupational Health Literacy Questionnaire was used to survey the occupational health literacy status, and logistic regression analysis was used to analyze the influencing factors.
    Results A total of 480 workers were investigated, and 468 valid questionnaires were collected with an effective recovery rate of 97.50%. The overall occupational health literacy level was 44.87% (210/468), and the four dimensions of occupational health literacy, from high to low, include basic knowledge of occupational health protection (77.35%), healthy work styles and behaviors (47.65%), basic skills of occupational health protection (30.34%), and occupational health law knowledge (26.07%). The results of the multivariate logistic regression analysis showed that the education level, monthly income level, current job tenure, and job type were influencing factors of occupational health literacy levels of workers in the electronics industry. Among them, workers with a college degree or above had higher occupational health literacy levels (OR = 5.128, 95%CI: 1.017 to 25.865) compared to those with primary school education or below; workers with an average monthly income of 5 000 to less than 7 000 yuan had higher occupational health literacy levels (OR = 5.853, 95%CI: 1.104 to 31.032) compared to those with an average monthly income of less than 3 000 yuan; workers with a current job tenure ≤ 1 year had higher occupational health literacy levels (OR = 3.012, 95%CI: 1.093 to 8.298) compared to those with a current job tenure ≥ 10 years; and the managers had higher occupational health literacy levels (OR = 3.070, 95%CI: 1.636 to 5.759) compared to production workers. These differences were all statistically significant (all P < 0.05).
    Conclusions The occupational health literacy levels of workers in the electronics industries in this city were lower than the national key population's occupational health literacy levels, especially in the dimension of occupational health law knowledge. Frontline workers, and workers with more than 10 years of current job tenure, low education levels, and low income were the key groups for improving occupational health literacy levels in the electronics industry.

     

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