陈惠清, 李晓艺, 李婧, 黄曼琪, 杨敏, 陈嘉斌. 电子制造企业工人疲劳度与抑郁症状相关性分析[J]. 职业卫生与应急救援, 2025, 43(4): 425-429. DOI: 10.16369/j.oher.issn.1007-1326.2025.240667
引用本文: 陈惠清, 李晓艺, 李婧, 黄曼琪, 杨敏, 陈嘉斌. 电子制造企业工人疲劳度与抑郁症状相关性分析[J]. 职业卫生与应急救援, 2025, 43(4): 425-429. DOI: 10.16369/j.oher.issn.1007-1326.2025.240667
CHEN Huiqing, LI Xiaoyi, LI Jing, HUANG Manqi, YANG Min, CHEN Jiabin. Correlation between fatigue and depressive symptoms among workers in electronics manufacturing enterprises[J]. Occupational Health and Emergency Rescue, 2025, 43(4): 425-429. DOI: 10.16369/j.oher.issn.1007-1326.2025.240667
Citation: CHEN Huiqing, LI Xiaoyi, LI Jing, HUANG Manqi, YANG Min, CHEN Jiabin. Correlation between fatigue and depressive symptoms among workers in electronics manufacturing enterprises[J]. Occupational Health and Emergency Rescue, 2025, 43(4): 425-429. DOI: 10.16369/j.oher.issn.1007-1326.2025.240667

电子制造企业工人疲劳度与抑郁症状相关性分析

Correlation between fatigue and depressive symptoms among workers in electronics manufacturing enterprises

  • 摘要:
    目的 调查电子制造企业工人疲劳程度和抑郁症状水平,探讨两者之间的关系,为预防工人抑郁的发生,提升其身心健康水平提供理论依据。
    方法 2021年8—9月,采用整群抽样方法,选择广东省2家电子制造企业一线工人为研究对象,采用《劳动者的疲劳蓄积度自己诊断调查表》《患者健康问卷》(PHQ-9)进行疲劳程度和抑郁症状的调查,并分析两者之间相关性。
    结果 发放问卷450份,回收有效问卷391份,有效回收率为86.9%。抑郁症状、疲劳检出率分别为63.2%(247/391)和25.8%(101/391)。女性、30 ~ < 40岁、初中及以下文化程度、非已婚或同居、月收入 < 5 000元、流水线作业工人的疲劳检出率较高(均P<0.05)。多因素logistic回归分析结果显示:月收入≥ 5 000元组出现抑郁症状的可能性是 < 3 000元组的0.194倍(P<0.01);疲劳组出现抑郁症状的可能性是无疲劳组的10.469倍(P<0.01)。
    结论 电子制造企业工人的疲劳程度和抑郁症状不容忽视。疲劳能增加抑郁发生的风险。企业应高度重视工人的身心健康,合理安排工作量,及时采取措施缓解其疲劳积累,并疏导其抑郁情绪。

     

    Abstract:
    Objective To investigate the levels of fatigue and depressive symptoms among workers in electronics manufacturing enterprises and explore their correlation, with the aim of providing a theoretical basis for preventing depression and promoting the physical and mental well-being of workers.
    Methods From August to September 2021, a cluster sampling method was used to select frontline workers from two electronics manufacturing enterprises in Guangdong Province. Fatigue levels and depressive symptoms were assessed using the Self-Diagnostic Checklist for Workers'Accumulated Fatigue and the Patient Health Questionnaire (PHQ-9). Correlation analysis was conducted to examine the relationship between fatigue and depression.
    Results A total of 450 questionnaires were distributed, and 391 valid responses were collected, with a valid response rate of 86.9%. The rates of depressive symptoms and fatigue were 63.2% (247/391) and 25.8% (101/391), respectively. Higher fatigue prevalence was observed among females, workers aged 30 to 40 years, those with junior high school education or lower, unmarried or cohabiting individuals, monthly income below 5 000 RMB, and workers working on the assembly line (all P < 0.05). Multivariate logistic regression analysis revealed that workers with a monthly income of ≥ 5 000 RMB were 0.194 times as likely to exhibit depressive symptoms as those earning < 3 000 RMB (P < 0.01); workers with fatigue were 10.469 times more likely to experience depressive symptoms compared to those without fatigue (P < 0.01).
    Conclusions Fatigue and depressive symptoms among workers in electronics manufacturing enterprises could not be ignored. Fatigue was a major risk factor for depression. Enterprises should prioritize the physical and mental health of workers by appropriately allocating workloads, implementing timely measures to alleviate accumulated fatigue, and providing psychological support to mitigate depressive symptoms.

     

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