丁明峰, 李改云, 骆萌, 江丽丽, 罗晓蕾, 张嘉文, 江靖雯, 李懿伦, 沈燕飞, 韩雪梅. 钢铁企业职工睡眠障碍的影响因素[J]. 环境与职业医学, 2023, 40(5): 559-564. DOI: 10.11836/JEOM22376
引用本文: 丁明峰, 李改云, 骆萌, 江丽丽, 罗晓蕾, 张嘉文, 江靖雯, 李懿伦, 沈燕飞, 韩雪梅. 钢铁企业职工睡眠障碍的影响因素[J]. 环境与职业医学, 2023, 40(5): 559-564. DOI: 10.11836/JEOM22376
DING Mingfeng, LI Gaiyun, LUO Meng, JIANG Lili, LUO Xiaolei, ZHANG Jiawen, JIANG Jingwen, LI Yilun, SHEN Yanfei, HAN Xuemei. Influencing factors of sleep disorders of employees of a steel enterprise[J]. Journal of Environmental and Occupational Medicine, 2023, 40(5): 559-564. DOI: 10.11836/JEOM22376
Citation: DING Mingfeng, LI Gaiyun, LUO Meng, JIANG Lili, LUO Xiaolei, ZHANG Jiawen, JIANG Jingwen, LI Yilun, SHEN Yanfei, HAN Xuemei. Influencing factors of sleep disorders of employees of a steel enterprise[J]. Journal of Environmental and Occupational Medicine, 2023, 40(5): 559-564. DOI: 10.11836/JEOM22376

钢铁企业职工睡眠障碍的影响因素

Influencing factors of sleep disorders of employees of a steel enterprise

  • 摘要: 背景

    钢铁企业职工是特殊的职业人群,在工作中容易接触粉尘、噪声和高温等职业有害因素,且经常以轮班方式工作,容易发生睡眠障碍。

    目的

    探索甘肃省某钢铁企业职工睡眠障碍的影响因素,为降低职工睡眠障碍发生风险提供依据。

    方法

    于2022年1—3月,使用自制问卷结合《匹兹堡睡眠质量指数量表》(PSQI)调查甘肃省某钢铁企业职工。根据其PSQI得分分为睡眠正常组和睡眠障碍组。采用1∶1倾向性评分匹配法(PSM)平衡两组人群一般人口学变量。利用多因素logistic回归分析睡眠障碍的影响因素,采用限制性立方样条模型(RCS)分析每周工作时长与睡眠障碍之间的剂量-反应关系。

    结果

    12544名研究对象中,睡眠障碍率为48.06%(6029/12544)。PSM后,成功匹配5847对,两组间的匹配变量分布均衡性较好。多因素logistic回归分析显示,高血压(OR=1.39,95%CI:1.24~1.56)、糖尿病(OR=1.34,95%CI:1.07~1.66)、三班倒(OR=1.26,95%CI:1.12~1.41)、粉尘暴露(OR=1.14,95%CI:1.01~1.29)、噪声暴露(OR=1.23,95%CI:1.09~1.39)、高温暴露(OR=1.16,95%CI:1.04~1.29)、工伤(OR=1.22,95%CI:1.02~1.46)的职工睡眠障碍风险增加,与工龄<10年的工人相比,工龄10~20年(OR=1.31,95%CI:1.19~1.44)、20~30年(OR=1.34,95%CI:1.19~1.52)、≥30年(OR=1.35,95%CI:1.19~1.53)的职工睡眠障碍风险更高;与不锻炼的职工相比,偶尔锻炼(OR=0.61,95%CI:0.56~0.66)、经常锻炼(OR=0.55,95%CI:0.49~0.62)的职工睡眠障碍风险降低。RCS结果显示,钢铁企业职工每周工作时长连续变化与睡眠障碍间呈非线性剂量-反应关系(总趋势P<0.05,非线性P<0.05),每周工作时长与睡眠障碍的关系呈“U”形分布,当每周工作时长超过49 h,睡眠障碍风险呈明显的上升趋势。

    结论

    钢铁企业职工睡眠障碍的非职业影响因素有高血压、糖尿病、体育锻炼,职业影响因素有工龄、每周工作时长、轮班、粉尘暴露、噪声暴露、高温暴露和工伤。建议结合职业和非职业因素,为钢铁企业职工制定相应的睡眠障碍防控措施,降低睡眠障碍的发生风险。

     

    Abstract: Background

    Steel workers are exposed to occupational hazardous factors such as dust, noise, and heat, and often work in shifts, making them prone to sleep disorders.

    Objective

    To explore potential influencing factors of sleep disorders among workers in a steel enterprise in Gansu Province, and provide a basis for reducing the risk of sleep disorders among them.

    Methods

    From January to March 2022, a self-made questionnaire combined with the Pittsburgh Sleep Quality Index (PSQI) were used to investigate the employees of a steel enterprise in Gansu Province. According to their PSQI scores, they were divided into a normal sleep group and a sleep disorder group. The general demographic variables of the two groups were balanced by 1∶1 propensity score matching (PSM). Multiple logistic regression was used to analyze the contributing factors of sleep disorders. Restricted cubic spline (RCS) model was used to analyze potential dose-response relationship between weekly working hours and sleep disorders.

    Results

    The prevalence of sleep disorders in the steel workers was 48.06% (6029/12544). After PSM, 5847 pairs were successfully matched, and the distributions of matched variables were well balanced between the two groups. The results of multiple logistic regression showed that hypertension (OR=1.39, 95%CI: 1.24, 1.56), diabetes mellitus (OR=1.34, 95%CI: 1.07, 1.66), three-shift system (OR=1.26, 95%CI: 1.12, 1.41), dust exposure (OR=1.14, 95%CI: 1.01, 1.29), noise exposure (OR=1.23, 95%CI: 1.09, 1.39), heat exposure (OR=1.16, 95%CI: 1.04, 1.29), and work injury (OR=1.22, 95%CI: 1.02, 1.46) increased the risk of sleep disorders. Compared with workers with < 10 years of service, those with 10-20 years (OR=1.31, 95%CI: 1.19, 1.44), 20-30 years (OR=1.34, 95%CI: 1.19, 1.52), and ≥30 years of service (OR=1.35, 95%CI: 1.19, 1.53) had a higher risk of sleep disorders. Compared with non-exercise workers, the risk of developing sleep disorders was lower in workers with occasional exercise (OR=0.61, 95%CI: 0.56, 0.66) and regular exercise (OR=0.55, 95%CI: 0.49, 0.62). The RCS model showed that the weekly working hours and sleep disorders in the steel workers showed a nonlinear dose-response relationship (P<0.05 for overall trend, P<0.05 for nonlinear test). The relationship between weekly working hours and sleep disorders showed a "U" shaped distribution, with a significant increase in the risk of sleep disorders when the weekly working hours exceeded 49 h.

    Conclusion

    The non-occupational influencing factors of sleep disorders of employees in the steel enterprise include hypertension, diabetes, physical exercise, and occupational influencing factors include length of service, weekly working hours, shifts, dust exposure, noise exposure, heat exposure, and work injuries. It is recommended to consider both occupational and non-occupational factors to formulate appropriate sleep disorder prevention and control measures for steel employees to reduce the risk of sleep disorders.

     

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