职业与健康 ›› 2025, Vol. 41 ›› Issue (17): 2318-2321.

• 论著 • 上一篇    下一篇

高原某铁路建设人群职业疲劳现状及影响因素分析

白延彪, 次松   

  1. 西藏大学医学院,西藏 拉萨 850000
  • 收稿日期:2024-11-15 修回日期:2024-12-08 出版日期:2025-09-01 发布日期:2025-12-13
  • 通信作者: 次松,讲师,E-mail:cisong2009aliyun.com
  • 作者简介:白延彪,男,在读硕士研究生,研究方向为流行病与卫生统计学。
  • 基金资助:
    西藏大学校级培育基金(成长计划)(ZDCZJH20-13); 校企合作项目(18080065/001)

Analysis of occupational fatigue status and influencing factors of railway construction population in plateau

BAI Yanbiao, CI Song   

  1. School of Medicine,Xizang University,Lhasa,Xizang 850000,China
  • Received:2024-11-15 Revised:2024-12-08 Online:2025-09-01 Published:2025-12-13
  • Contact: CI Song,Lecturer,E-mail:cisong2009aliyun.com

摘要: 目的 分析高原某铁路建设人群职业疲劳现状及其影响因素,为干预措施的制定提供参考依据。方法 于2022年7—8月,采用方便抽样方法对高原地区某铁路建设人群进行现场问卷调查用职业疲劳量表(fatigue scale-14,FS-14)评估职业疲劳现状,采用t检验、方差分析比较不同特征作业人群职业疲劳的差异,采用多元线性逐步回归分析职业疲劳的影响因素。结果 高原某铁路建设人群职业疲劳总分(3.93±3.48)分,职业疲劳发生人数为77例,占22.7%。多元线性逐步回归分析结果显示,受教育水平、高原生活感受,高原适应情况、高原生活烦恼、自评身体健康状况、主观睡眠质量是高原某铁路建设人群职业疲劳的重要影响因素(P<0.01)。自评身体健康状况恶化程度每增加1个单位,职业疲劳得分预期增加1.164分;主观睡眠质量每上升1个程度,职业疲劳得分预期减少1.141分;高原生活烦恼每增加1个程度,职业疲劳得分预期减少0.725分;高原生活感受度变差程度每提高1个单位,职业疲劳得分预期增加0.611分;受教育水平每上升1个等级,职业疲劳得分预期增加0.407分。结论 高原某铁路建设人群职业疲劳状态不容忽视,亟待社会关注铁路建设人群的职业健康,建立健全高原地区作业人群的职业健康保障体系,有效降低职业疲劳和其他健康危险因素,保障高原铁路建设人群的职业生命质量。

关键词: 高原, 铁路建设人群, 职业疲劳, 影响因素

Abstract: Objective To analyze the current status of occupational fatigue and its influencing factors among the construction population of a railway in the plateau,and provide reference for the formulation of intervention measures. Methods From July to August 2022,a convenient sampling method was used to conduct a field questionnaire survey on a railway construction population in a plateau area. The fatigue scale-14(FS-14) was employed to assess the current state of occupational fatigue,and t-tests and ANOVA were used to compare the differences in occupational fatigue among different demographic groups. Multiple linear regression analysis was used to identify the factors influencing fatigue. Results The total score of occupational fatigue was (3.93±3.48)points,with 77 cases of occupational fatigue,accounting for 22.7%. Multiple linear regression analysis revealed that education level,plateau life experience,plateau adaptation,plateau life troubles,self-rated physical health,and subjective sleep quality were significant factors affecting occupational fatigue in the plateau railway construction population(all P<0.01). For every unit increased in self-rated physical health deterioration,the occupational fatigue score was expected to increase by 1.164 points. For every unit increased in subjective sleep quality,the occupational fatigue score was expected to decrease by 1.141 points. For every unit increased in plateau life troubles,the occupational fatigue score was expected to decrease by 0.725 points. For every unit increased in plateau life experience,the occupational fatigue score was expected to increase by 0.611 points. And for every level increased in education level,the occupational fatigue score was expected to increase by 0.407 points. Conclusion The state of occupational fatigue among the railway construction population in the plateau area should not be overlooked,and there is an urgent need for society to pay attention to the occupational health of railway construction workers,to establish and improve the occupational health security system in plateau areas,effectively reduce occupational fatigue and other health risk factors,and ensure the occupational life quality of the railway construction population in the plateau.

Key words: Plateau, Railway construction population, Occupational fatigue, Influencing factor

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