某电缆制造企业工人职业紧张与职业伤害的关系探讨—基于决策树模型

Relationship between occupational stress and occupational injury of workers in a cable manufacturing enterprise by decision tree model

  • 摘要:
    背景 工人的社会心理因素是职业伤害干预研究的新热点,职业紧张作为社会心理因素的重要内容,对职业伤害的影响引起了广泛关注。
    目的 分析电缆制造业工人职业紧张的影响因素,探讨职业紧张对职业伤害的影响,为减轻职业紧张,减少职业伤害提供科学依据。
    方法 采用基本情况问卷、职业伤害问卷和职业紧张问卷(《付出-回报失衡问卷》),对某电缆制造企业的1343名工人进行调查,采用卡方检验分析不同特征工人的职业紧张分布状况,采用logistic回归分析职业紧张的影响因素,采用决策树模型探究职业紧张对职业伤害的影响。
    结果 共收回有效问卷1225份,问卷回收有效率91.2%。该电缆制造企业工人职业紧张的阳性率为28.7%,过去1年的职业伤害发生率为8.6%。单因素分析显示,发生过职业伤害的调查对象职业紧张阳性率高于未发生职业伤害者(P<0.05),不同性别、加班情况、轮班情况、每天工作时长、疲劳程度、睡眠时长、家人关系、同事关系调查对象的职业紧张分布差异有统计学意义(P<0.05)。logistic回归结果显示,轮班、同事关系一般/较差/非常差、经常加班者职业紧张发生风险高(P<0.05)。决策树结果显示,职业紧张是职业伤害的危险因素;此外,体育锻炼、同事关系、是否参加岗前培训、性别也是职业伤害的影响因素;在每周体育锻炼频率2次以下的工人中,有职业紧张工人发生职业伤害的风险(23.6%)高于无职业紧张的工人(10.9%)。
    结论 电缆制造业工人轮班、同事关系、加班与职业紧张具有相关性,应安排合理工作制度,创建良好工作氛围;职业紧张会增加电缆制造业工人职业伤害发生的风险,今后可从减轻职业紧张的角度降低职业伤害发生。

     

    Abstract:
    Background Social psychological factors have emerged as a key area of research in occupational injury prevention. Occupational stress, a significant component of social psychology, has garnered widespread attention due to its potential impact on occupational injury.
    Objective To analyze the factors influencing occupational stress among cable manufacturing workers and explore the relationship between occupational stress and occupational injury, and to provide scientific evidence for reducing occupational stress and injury.
    Methods A questionnaire on basic demographics, occupational injury, and occupational stress (Effort-Reward Imbalance, ERI) was used to investigate 1343 workers in a cable enterprise. Chi-square test was employed to analyze the distribution of occupational stress across different worker characteristics. Logistic regression was used to identify factors influencing occupational stress, and a decision tree model was applied to assess the impact of occupational stress on injury risk.
    Results A total of 1225 valid questionnaires were collected, yielding a response rate of 91.2%. The positive rate of occupational stress was 28.7%, while the incidence of occupational injury in the past year was 8.6%. The results of univariate analysis revealed that workers who had experienced occupational injuries had a higher positive rate of occupational stress compared to those without injuries (P<0.05), and there were significant differences in the distribution of occupational stress by genders, overtime work, shift work, daily working hours, fatigue levels, sleep duration, family relationships, and colleague relationships (P<0.05). The logistic regression results showed that individuals who worked shifts, had fair/poor/very colleague relationships, and frequently worked overtime had a higher risk of occupational stress (P<0.05). The final decision tree model confirmed that occupational stress was a risk factor for occupational injury. Additional factors influencing occupational injury included physical exercise, colleague relationships, pre-job training participation, and gender. Workers who exercised less than twice per week and experienced occupational stress had a significantly higher risk of injury (23.6%) compared to those without occupational stress (10.9%).
    Conclusion Shift work, colleague relationships, and overtime work are correlated with the positive rate of occupational stress among cable manufacturing workers. Implementing a reasonable work schedule and fostering a positive work environment are recommended. Reducing occupational stress may help lower the risk of occupational injuries in this industry.

     

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