郑淑涵, 周浩, 汤永翔, 王晶, 李艳华, 江平山, 王致. 夜间轮班与睡眠障碍的非线性关系:一项针对1 355名汽车制造业职工的横断面调查J. 职业卫生与应急救援, 2026, 44(2): 139-146. DOI: 10.16369/j.oher.issn.1007-1326.2026.250596
引用本文: 郑淑涵, 周浩, 汤永翔, 王晶, 李艳华, 江平山, 王致. 夜间轮班与睡眠障碍的非线性关系:一项针对1 355名汽车制造业职工的横断面调查J. 职业卫生与应急救援, 2026, 44(2): 139-146. DOI: 10.16369/j.oher.issn.1007-1326.2026.250596
ZHENG Shuhan, ZHOU Hao, TANG Yongxiang, WANG Jing, LI Yanhua, JIANG Pingshan, WANG Zhi. Nonlinear relationship between night-shift work and sleep disorders: a cross-sectional survey of 1 355 automobile manufacturing workersJ. Occupational Health and Emergency Rescue, 2026, 44(2): 139-146. DOI: 10.16369/j.oher.issn.1007-1326.2026.250596
Citation: ZHENG Shuhan, ZHOU Hao, TANG Yongxiang, WANG Jing, LI Yanhua, JIANG Pingshan, WANG Zhi. Nonlinear relationship between night-shift work and sleep disorders: a cross-sectional survey of 1 355 automobile manufacturing workersJ. Occupational Health and Emergency Rescue, 2026, 44(2): 139-146. DOI: 10.16369/j.oher.issn.1007-1326.2026.250596

夜间轮班与睡眠障碍的非线性关系:一项针对1 355名汽车制造业职工的横断面调查

Nonlinear relationship between night-shift work and sleep disorders: a cross-sectional survey of 1 355 automobile manufacturing workers

  • 摘要:
    目的 探讨汽车制造业职工夜间轮班与其睡眠障碍之间的关联,识别潜在的高风险人群,为职业人群睡眠障碍的预防与控制提供科学依据。
    方法 2024年7—12月,采用整群抽样方法,以广州市某汽车发动机生产企业1 455名职工为研究对象,统一使用自制问卷结合《匹兹堡睡眠质量指数量表》(Pittsburgh Sleep Quality Index,PSQI)对其开展调查。采用logistic回归分析、限制性立方样条方法,对夜间轮班和睡眠障碍的关联性进行分析。
    结果 回收有效问卷1 355份,有效回收率为93.1%。调查对象以男性(占94.10%)为主,发生睡眠障碍的有470人(占34.69%)。3个独立的多因素logistic回归模型分析结果显示:(1)与标准白班者相比,两班倒及三班倒的劳动者睡眠障碍的风险升高,OR值分别为2.01、2.79(均P < 0.05)。(2)与不轮班者相比,轮班工龄>15年者有睡眠障碍的风险升高,OR值为1.87(P < 0.05)。(3)近一个月有夜班的劳动者有睡眠障碍的风险升高,OR值为1.39(P < 0.05)。(4)在3个独立模型中,重体力劳动均与睡眠障碍风险增加有关,OR值分别为2.86、3.00、2.92(均P < 0.05);BRI值的增加均与睡眠障碍风险增加有关,OR值分别为1.15、1.15、1.17(均P < 0.05);健康饮食水平能降低睡眠障碍风险,OR值为0.39 ~ 0.70(均P < 0.05)。限制性立方样条模型分析结果显示,轮班工龄与睡眠障碍存在非线性剂量-反应关系,当工龄跨越12.0年后,睡眠障碍的OR值呈陡峭的上升趋势(P < 0.05)。
    结论 夜间轮班会增加发生睡眠障碍的风险,轮班工龄与睡眠障碍存在非线性的剂量-反应关系。应重点关注工龄超过12年的轮班者,将其列为睡眠障碍防控的核心人群。

     

    Abstract:
    Objective To examine the association between night-shift work and sleep disorders among automobile manufacturing workers, identify potential high-risk groups, and provide orientation for the prevention and control of workers' sleep disorders.
    Methods From July to December 2024, a cluster sampling method was used to recruit 1 455 employees in an automobile engine manufacturing enterprise of Guangzhou. A unified self-administered questionnaire combined with the Pittsburgh Sleep Quality Index (PSQI) was used for data collection. Logistic regression models and restricted cubic spline analyses were applied to assess the relationship between night-shift work and sleep disorders.
    Results A total of 1 355 valid questionnaires were collected, with a valid response rate of 93.1%. The study population was predominantly male (94.10%), and 470 participants (34.68%) had sleep disorders. Three independent multivariable logistic regression models showed that: (1) compared with standard daytime workers, employees working on two-shift and three-shift systems had a higher risk of sleep disorders, with ORs of 2.01 and 2.79, respectively (both P < 0.05); (2) compared with non-shift workers, those with >15 years of shift-work experience had an increased risk of sleep disorders (OR = 1.87, P < 0.05); (3) workers who had night shifts in the past month had a higher risk of sleep disorders (OR = 1.39, P < 0.05); (4) across all three models, heavy physical labor was consistently associated with increased risk (OR = 2.86, 3.00, and 2.92; all P < 0.05), higher BRI values were associated with increased risk (OR = 1.15, 1.15, and 1.17; all P < 0.05), while healthier dietary patterns were associated with reduced risk (OR = 0.39 to 0.70; all P < 0.05). Restricted cubic spline analysis revealed a nonlinear dose-response relationship between years of shift work and sleep disorders, with a steep increase in risk observed after 12.0 years of shift-work experience (P < 0.05).
    Conclusions Night-shift work increased the risk of sleep disorders, and shift-work duration showed a nonlinear dose-response relationship with sleep disorder risk. Workers with more than 12 years of shift-work experience should be prioritized as a key population for targeted prevention and control strategies.

     

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