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汽车行业短期相关肌肉骨骼疼痛的预测因素。

Predictive Factors of Short-Term Related Musculoskeletal Pain in the Automotive Industry.

机构信息

Biomechanics and Functional Morphology Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, 1499-002 Cruz Quebrada-Dafundo, Portugal.

Volkswagen Autoeuropa-Industrial Engineering & Lean Management, Quinta da Marquesa, 2954-024 Palmela, Portugal.

出版信息

Int J Environ Res Public Health. 2021 Dec 10;18(24):13062. doi: 10.3390/ijerph182413062.

DOI:10.3390/ijerph182413062
PMID:34948670
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8700848/
Abstract

To determine the short-term associations between biomechanical risk factors and musculoskeletal symptoms in the upper limbs and low back in an automotive company, a longitudinal study with a follow-up of 4 days was conducted in a sample of 228 workers of the assembly and paint areas. Data were analyzed using generalized estimating equations, calculating the crude and adjusted model for age, sex, seniority, and intensity of pain at baseline. The interactions found were the same for both models. Workers were divided in low-risk and high-risk group for posture, force, exposure, percentage of cycle time with the arm at/above shoulder level, and with the trunk flexed or/and strongly flexed. The predictive factors showed by time × group effect were found between pain intensity on the left shoulder for posture (β = 0.221, < 0.001), percentage of time with the trunk flexed (β = 0.136, = 0.030) and overall exposure (β = 0.140, = 0.013). A time × group interactions were observed, namely between neck pain and posture (β = 0.218, = 0.005) and right wrist and force (β = 0.107, = 0.044). Workers in the high-risk group were more prone to report unfavorable effects on their self-reported musculoskeletal pain, across a workweek when exposed to specific risk factor, being posture important to neck, right wrist and left shoulder pain.

摘要

为了确定汽车制造公司中上肢和下背部肌肉骨骼症状与生物力学风险因素之间的短期关联,对装配和喷涂区的 228 名工人进行了为期 4 天的纵向研究,随访时间为 4 天。使用广义估计方程对数据进行分析,为年龄、性别、工龄和基线疼痛强度计算了原始模型和调整模型。两个模型都发现了相同的交互作用。根据姿势、力量、暴露、手臂处于/高于肩部水平的周期时间百分比和躯干弯曲或/和强烈弯曲的时间百分比,将工人分为低风险和高风险组。时间×组效应显示的预测因素包括左肩疼痛强度与姿势(β=0.221,<0.001)、躯干弯曲时间百分比(β=0.136,=0.030)和总体暴露(β=0.140,=0.013)之间存在显著相关性。还观察到时间×组交互作用,即颈部疼痛与姿势(β=0.218,=0.005)和右手腕疼痛与力量(β=0.107,=0.044)之间存在显著相关性。在暴露于特定风险因素的情况下,高风险组工人更有可能在整个工作周内报告肌肉骨骼疼痛不利影响,姿势对颈部、右手腕和左肩疼痛有重要影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1a/8700848/44a2e86eafea/ijerph-18-13062-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1a/8700848/d0b2ab00bee3/ijerph-18-13062-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1a/8700848/44a2e86eafea/ijerph-18-13062-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1a/8700848/d0b2ab00bee3/ijerph-18-13062-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1a/8700848/44a2e86eafea/ijerph-18-13062-g002.jpg

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2
Physical and psychosocial work environmental risk factors of low-back pain: protocol for a 1 year prospective cohort study.体力活动和心理社会工作环境危险因素与腰痛的前瞻性队列研究方案。
BMC Musculoskelet Disord. 2019 Dec 27;20(1):626. doi: 10.1186/s12891-019-2996-z.
3
Are trajectories of neck-shoulder pain associated with sick leave and work ability in workers? A 1-year prospective study.
基于深度学习的汽车制造业工人肝功能异常预测模型:中国重庆的横断面研究。
Int J Environ Res Public Health. 2022 Nov 1;19(21):14300. doi: 10.3390/ijerph192114300.
4
Human-Centered Explainable Artificial Intelligence: Automotive Occupational Health Protection Profiles in Prevention Musculoskeletal Symptoms.以人为中心的可解释人工智能:汽车职业健康保护预防肌肉骨骼症状档案。
Int J Environ Res Public Health. 2022 Aug 3;19(15):9552. doi: 10.3390/ijerph19159552.
颈部-肩部疼痛的轨迹与工人的病假和工作能力有关吗?一项为期 1 年的前瞻性研究。
BMJ Open. 2019 Mar 20;9(3):e022006. doi: 10.1136/bmjopen-2018-022006.
4
Snap-fit assembly and upper limb functional limitations in automotive production workers: a nested case-control study.汽车生产工人中的卡合装配和上肢功能限制:一项嵌套病例对照研究。
Int Arch Occup Environ Health. 2019 Aug;92(6):813-819. doi: 10.1007/s00420-019-01418-3. Epub 2019 Feb 27.
5
After-shift Musculoskeletal Disorder Symptoms in Female Workers and Work-related Factors: A Cross-sectional Study in a Seafood Processing Factory in Vietnam.女工下班后的肌肉骨骼疾病症状及工作相关因素:越南一家海鲜加工厂的横断面研究
AIMS Public Health. 2016 Sep 14;3(4):733-749. doi: 10.3934/publichealth.2016.4.733. eCollection 2016.
6
Developmental pathways of multisite musculoskeletal pain: what is the influence of physical and psychosocial working conditions?多部位肌肉骨骼疼痛的发展途径:身体和社会心理工作条件有何影响?
Occup Environ Med. 2017 Jul;74(7):468-475. doi: 10.1136/oemed-2016-103892. Epub 2016 Nov 4.
7
Association between occupational lifting and day-to-day change in low-back pain intensity based on company records and text messages.基于公司记录和短信的职业性搬运与腰痛强度的日常变化之间的关联
Scand J Work Environ Health. 2017 Jan 1;43(1):68-74. doi: 10.5271/sjweh.3592. Epub 2016 Sep 9.
8
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10
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Indian J Psychol Med. 2013 Apr;35(2):121-6. doi: 10.4103/0253-7176.116232.