职业与健康 ›› 2026, Vol. 42 ›› Issue (16): 2166-2171.

• 论著—职业卫生与职业相关疾病 • 上一篇    下一篇

上海市青浦区金属制品业劳动者连续工作引发部位疲劳感的状况调查及影响因素分析

刘晓晓1, 冯瑞华1, 陆辰汝1, 尹艳2(), 叶开友1()   

  1. 1 上海市青浦区疾病预防控制中心(卫生健康监督所)上海 201799
    2 上海市疾病预防控制中心上海 200336
  • 收稿日期:2025-09-12 修回日期:2025-12-30 出版日期:2026-08-15 发布日期:2026-08-10
  • 通信作者: 尹艳,E-mail:yinyan@scdc.sh.cn;叶开友,E-mail:moling5250@139.com
  • 作者简介:刘晓晓,女,副主任医师,主要从事职业卫生工作。
  • 基金资助:
    上海市青浦区卫生健康系统第五轮学科建设和人才培养项目(YY2023-37);上海市加强公共卫生体系建设三年行动计划(2023—2025年)重点学科(GWVI-11.1-37)

Investigation and analysis of influencing factors of localized work fatigue after continuous work among laborers in the metal products industry in Qingpu District of Shanghai City

LIU Xiaoxiao1, FENG Ruihua1, LU Chenru1, YIN Yan2(), YE Kaiyou1()   

  1. 1 Shanghai Qingpu District Center for Disease Control and Prevention(Institute of Health Supervision)Shanghai 201799, China
    2 Shanghai Municipal Center for Disease Control and PreventionShanghai 200336, China

摘要:

目的 分析上海市青浦区金属制品业劳动者在连续工作数小时后引发部位疲劳感的出现状况,并探讨其影响因素。方法 数据来源于2023年青浦区重点行业工作相关疾病监测问卷调查,共回收有效问卷522份,男性359名(68.77%),女性163名(31.23%),采用二分类Logistic回归分析影响因素。结果 51.7%的劳动者连续工作数小时后引发部位疲劳感。Logistic回归分析结果显示,文化程度越高、累计休息时长越长,部位疲劳感的发生风险越低,即每增加1个单位,部位疲劳感的发生风险分别增加0.628倍(95%CI:0.465~0.850)、0.694倍(95%CI:0.504~0.957);身体状况不佳、有外伤史及肌肉骨骼疼痛的劳动者,部位疲劳感的发生风险分别是不存在以上情况劳动者的2.650倍(95%CI:1.709~4.108)、3.321倍(95%CI:1.087~10.146)、5.834倍(95%CI:3.225~10.553);下班后体育锻炼频次越多、需要上肢或手用力的工作频次越多,部位疲劳感的发生风险越高,即每增加1个单位,部位疲劳感的发生风险分别增加1.403倍(95%CI:1.015~1.940)、1.361倍(95%CI:1.080~1.716);以不舒服的姿势工作、休息时间充足、休息后继续工作的劳动者,部位疲劳感的发生风险分别是不存在以上情况劳动者的4.327倍(95%CI:1.817~10.302)、0.461倍(95%CI:0.283~0.750)、3.358倍(95%CI:1.586~7.112);三班倒作业的劳动者部位疲劳感的发生风险是不轮班作业劳动者的4.211倍(95%CI:1.866~9.503)。结论 企业管理者可以通过改善作业环境、优化作业流程、提供合适的休息和恢复时间等方式,缓解部位疲劳感的发生状况,从而提高生产效率和质量。

关键词: 金属制品业, 连续工作, 部位疲劳感, 状况, 影响因素, Logistic回归分析

Abstract:

Objective To analyze the prevalence and influencing factors of localized work fatigue after continuous work among laborers in the metal products industry in Qingpu District of Shanghai City. Methods Data were collected from the work-related diseases surveillance questionnaire of key industries in Qingpu District of Shanghai City,and a total of 522 valid questionnaires were collected,including 359 males(68.77%) and 163 females(31.23%). Binary Logistic regression was conducted to explore the influencing factors. Results The incidence of localized work fatigue after continuous work among laborers was 51.7%. Logistic regression analysis revealed that workers with higher educational level and longer cumulative rest duration had a lower risk of localized work fatigue. For each unit increase,the risk of localized fatigue decreased by 0.628 times(95%CI:0.465-0.850) and 0.694 times(95%CI:0.504-0.957),respectively.Workers with poor physical condition,history of trauma,or musculoskeletal pain had a significantly higher risk of localized fatigue,with odds ratios of 2.650(95%CI:1.709-4.108),3.321(95%CI:1.087-10.146),and 5.834(95%CI:3.225-10.553),respectively,compared to those without these conditions. Laborers who had a higher frequency of physical exercise after work and more frequent upper limb or hand force demand at work were at a higher risk of localized work fatigue. For each unit increase,the risk of localized fatigue increased by 1.403 times(95%CI:1.015-1.940) and 1.361 times(95%CI:1.080-1.716),respectively. Working in an uncomfortable posture,sufficient rest time,and continued working after rest were factors that increased risks of localized work fatigue,with odds ratios of 4.327(95%CI:1.817-10.302),0.461(95%CI:0.283-0.750),and 3.358(95%CI:1.586-7.112),respectively,compared to workers who did not have these conditions. Besides,laborers engaged in three-shift work had a higher risk of localized work fatigue[4.211 times(95%CI:1.866-9.503)] compared to those who did not work in shifts. Conclusion Enterprise managers can alleviate the occurrence of localized fatigue of workers,thus improve production efficiency and quality by enhancing the working environment,optimizing work processes,and providing appropriate rest time.

Key words: Metal products industry, Continuous work, Localized work fatigue, Prevalence, Influencing factors, Logistic regression

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