罗娜, 唐驰, 黎舒, 黄芳, 蒋碧玲, 麻晓莉, 张泽远, 蓝桃. 南宁市第三产业重点职业人群工作相关肌肉骨骼疾患现状调查J. 职业卫生与应急救援, 2025, 43(6): 712-718. DOI: 10.16369/j.oher.issn.1007-1326.2025.250098
引用本文: 罗娜, 唐驰, 黎舒, 黄芳, 蒋碧玲, 麻晓莉, 张泽远, 蓝桃. 南宁市第三产业重点职业人群工作相关肌肉骨骼疾患现状调查J. 职业卫生与应急救援, 2025, 43(6): 712-718. DOI: 10.16369/j.oher.issn.1007-1326.2025.250098
LUO Na, TANG Chi, LI Shu, HUANG Fang, JIANG Biling, MA Xiaoli, ZHANG Zeyuan, LAN Tao. Investigation on the current status of work-related musculoskeletal disorders of key occupational workers in tertiary industry in NanningJ. Occupational Health and Emergency Rescue, 2025, 43(6): 712-718. DOI: 10.16369/j.oher.issn.1007-1326.2025.250098
Citation: LUO Na, TANG Chi, LI Shu, HUANG Fang, JIANG Biling, MA Xiaoli, ZHANG Zeyuan, LAN Tao. Investigation on the current status of work-related musculoskeletal disorders of key occupational workers in tertiary industry in NanningJ. Occupational Health and Emergency Rescue, 2025, 43(6): 712-718. DOI: 10.16369/j.oher.issn.1007-1326.2025.250098

南宁市第三产业重点职业人群工作相关肌肉骨骼疾患现状调查

Investigation on the current status of work-related musculoskeletal disorders of key occupational workers in tertiary industry in Nanning

  • 摘要:
    目的 了解南宁市第三产业重点职业人群工作相关肌肉骨骼疾患(WMSDs)的现状并分析其影响因素,为制定有效干预措施提供依据。
    方法 2022年6月—2023年1月,采用分层(不等比例)整群抽样方法抽取南宁市121家单位1 919名在岗一线劳动者为研究对象,采用中文版肌肉骨骼疾患问卷调查其WMSDs发生情况,采用多因素logistic回归模型分析潜在的影响因素。
    结果 共发放问卷2 022份,回收有效问卷1 919份,问卷有效率为94.90%。南宁市第三产业重点职业人群WMSDs总发生率为51.85%(995/1 919),主要以腰部、颈部和肩部为主(发生率分别为38.87%、38.82%、33.09%)。公共管理行业、商务服务行业、教育行业、卫生行业及其他行业(快递、道路运输)职业人群WMSDs发生率依次为54.00%(198/367)、45.70%(256/560)、67.00%(148/221)、55.40%(278/502)和42.80%(115/269)。多因素logistic回归分析显示:相对于18~29岁,年龄40岁以上者WMSDs的发生风险升高(OR=1.486~1.692);相对于BMI < 18.5 kg/m2,BMI>24.0 kg/m2者WMSDs的发生风险升高(OR=1.568);相对于身体健康状况很好,身体健康状况一般、差或很差者WMSDs的发生风险升高(OR=2.010~3.829);相对于平均每周工作时间 < 40 h,平均每周工作时间≥ 55 h者WMSDs的发生风险升高(OR=1.643);工间休息时间不充足、颈部前倾或长时间保持这种姿势、长时间坐着工作者WMSDs的发生风险较高(OR=1.260、1.990、1.688);相对于其他行业,教育行业劳动者WMSDs的发生风险较高(OR=1.851)。公共管理行业及卫生行业职业人群发生WMSDs的共同风险为工间休息不足、颈部前倾/静态姿势和久坐;商务服务行业职业人群发生WMSDs的风险是不良身体健康状况;教育行业职业人群发生WMSDs的核心风险为颈部不良姿势;其他行业职业人群发生WMSDs的风险是低学历、BMI ≥ 18.5 kg/m2及长工时。
    结论 南宁市第三产业重点职业人群WMSDs发生率较高,不同行业职业人群WMSDs发生的影响因素存在差异。建议按行业分类干预,提升第三产业职业人群健康水平。

     

    Abstract:
    Objective To understand the current status of work-related musculoskeletal disorders (WMSDs) among workers in the tertiary industry of Nanning and analyze the influencing factors, providing the orientation for formulating effective intervention measures.
    Methods From June 2022 to January 2023, a stratified, disproportionate cluster sampling design was employed, 1 919 workers from 121 units in Nanning were surveyed with the Chinese version of the musculoskeletal disorders questionnaire to investigate the prevalence of WMSDs. Multivariate logistic regression models were employed to analyze potential influencing factors.
    Results A total of 2 022 questionnaires were distributed, and 1 919 valid responses were collected, with a response rate of 94.90%. The overall prevalence of WMSDs among these workers in the tertiary industry in Nanning was 51.85% (995/1 919), with the most common areas affected being the lower back, neck, and shoulders (prevalence rates of 38.87%, 38.82%, and 33.09%, respectively). The prevalence of WMSDs among occupational groups in public administration, business services, education, healthcare, and the other sectors (express delivery, road transportation) was 54.00% (198/367), 45.70% (256/560), 67.00% (148/221), 55.40% (278/502), and 42.80% (115/269), respectively. Multivariate logistic regression analysis showed that, compared to those aged 18 to 29 years, the risk of WMSDs was higher in those aged 40 years and above (OR=1.486 to 1.692). Compared to those with a BMI < 18.5 kg/m2, the risk of WMSDs was higher in those with a BMI>24.0 kg/m2 (OR=1.568). Compared to individuals reporting excellent health, those with general, poor, or very poor health had a higher risk of WMSDs (OR=2.010 to 3.829). Compared to those working < 40 hours per week, those working ≥ 55 hours per week had a higher risk of WMSDs (OR=1.643). Inadequate rest during work breaks, forward neck posture or prolonged maintenance of such posture, and prolonged sitting at work were associated with higher risks of WMSDs (OR=1.260, 1.990, 1.688). Compared to other industries, workers in the education sector had a higher risk of WMSDs (OR=1.851). The common risks for public administration and healthcare workers were insufficient break time, forward neck posture/static posture, and prolonged sitting. The common risk for business services workers was poor health status. The core risk for education workers was poor neck posture. The risk for other industry workers was related to lower education level, BMI ≥ 18.5 kg/m2, and long working hours.
    Conclusions The prevalence of WMSDs was high among workers in the tertiary industry in Nanning. Factors influencing the risk of WMSDs among different occupational groups varied. It is recommended to implement industry-specific interventions to improve the health of workers in the tertiary industry.

     

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