北京大学学报(医学版) ›› 2020, Vol. 52 ›› Issue (3): 535-540. doi: 10.19723/j.issn.1671-167X.2020.03.021

• 论著 • 上一篇    下一篇

制造业工人肌肉骨骼疾患发生模式及影响因素

王富江1,金旭1,娜扎开提·买买提1,董一丹1,王世娟1,2,张忠彬3,余善法4,杨丽云5,6,何丽华1,()   

  1. 1. 北京大学公共卫生学院劳动卫生与环境卫生学系,北京 100191
    2. 黔东南民族职业技术学院, 贵州凯里 556000
    3. 国家卫生健康委职业安全卫生研究中心,北京 102308
    4. 河南医学高等专科学校,郑州 451191
  • 收稿日期:2020-01-13 出版日期:2020-06-18 发布日期:2020-06-30
  • 通讯作者: 何丽华 E-mail:alihe2009@126.com
  • 基金资助:
    十三五国家重点研发计划项目(2016YFC0801700)

Occurrence pattern of musculoskeletal disorders and its influencing factors among manufacturing workers

Fu-jiang WANG1,Xu JIN1,MAMAT Nazakat1,Yi-dan DONG1,Shi-juan WANG1,2,Zhong-bin ZHANG3,Shan-fa YU4,Li-yun YANG5,6,Li-hua HE1,()   

  1. 1. Department of Occupational and Environmental Health, Peking University School of Public Health, Beijing 100191, China
    2. Qiandongnan Vocational & Technical College for Nationalities, Kaili 556000, Guizhou, China
    3. National Center of Occupational Safety and Health, National Health Commission, Beijing 102308, China
    4. Henan Medical College, Zhengzhou 451191, China
  • Received:2020-01-13 Online:2020-06-18 Published:2020-06-30
  • Contact: Li-hua HE E-mail:alihe2009@126.com
  • Supported by:
    National Key Technologies Research & Development Program of the People’s Republic of China(2016YFC0801700)

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摘要:

目的 探讨制造业工人工作相关肌肉骨骼疾患(work-related musculoskeletal disorders,WMSDs)在多个部位的发生模式及其影响因素。方法 应用肌肉骨骼疾患调查问卷对4家制造企业工人的WMSDs患病情况及影响因素展开流行病学调查。WMSDs病例定义为过去一年内身体颈部、肩部、肘部、手腕/手、上背部、下背部、臀/大腿、膝部、踝/足9个部位中一个或多个部位出现疼痛、麻木、不适或活动受限等症状,持续时间超过24 h,经休息后症状仍未完全缓解,且排除外伤、残疾、其他急症或后遗症等。各部位WMSDs患病情况间的关联度用log-binomial模型计算出的现患比(PR值)评估,采用多分类Logistic回归模型分析WMSDs主要患病部位中多个部位共患病的影响因素。结果 制造业工人WMSDs总患病率达79.7%,主要患病部位为下背部、颈部、肩部和上背部,患病率依次为62.3%、55.7%、45.6%和38.7%。这4个部位患病情况间的PR值较高,4个部位共患病率为25.2%,3~4个部位共患病率为41.4%。多分类Lgistic回归分析提示,颈部、肩部、上背部和下背部中3~4个部位患WMSDs的影响因素涉及多个方面,其中女性(OR=2.86,95%CI 2.38~3.33)、工龄15~19年者(OR=1.87,95%CI 1.49~2.34)患病风险较高;颈部经常长时间或频繁前倾(OR=2.15,95%CI 1.86~2.48)、颈部经常长时间或频繁扭转(OR=1.64,95%CI 1.40~1.92)和经常大幅转身(OR=1.40,95%CI 1.20~1.64)等生物力学因素可能为疾患发生的危险因素;每天做相同的工作(OR=1.73,95%CI 1.44~2.08)、员工短缺(OR=1.50,95%CI 1.31~1.71)和经常加班(OR=1.38,95%CI 1.20~1.60)等组织管理因素可能增加疾患的发生风险;经常长时间站着工作(OR=0.77,95%CI 0.65~0.91)和感觉工间休息时间充足(OR=0.51,95%CI 0.44~0.59)等因素为保护性因素。结论 本研究中制造业工人颈部、肩部、上背部和下背部WMSDs患病率高,4个部位的患病情况间关联密切,其3~4部位共患病率较高,提示在制造业工人中可能存在“颈-肩-上背-下背”多个部位患病的WMSDs发生模式,这种模式的主要影响因素包括个体因素、生物力学因素和组织管理因素几个方面。

关键词: 制造业, 肌肉骨骼疾患, 危险因素

Abstract:

Objective: To explore the occurrence pattern and its influencing factors of multi-site work-related musculoskeletal disorders (WMSDs) of the main affected body sites among manufacturing workers.Methods: Musculoskeletal disorders questionnaire was adopted to investigate the prevalence of WMSDs and the influencing factors among workers from four manufacturing factories in China. The case of WMSDs was defined as the one who had symptoms such as pain, numbness, discomfort, or limitation of activities in one or more of the nine body sites, including neck, shoulder, elbow, wrist/hand, upper back, lower back, hip/thigh, knee and ankle/foot during the last year, which lasted for more than 24 hours and did not completely relieve after rest. Besides, trauma, disability, other acute injuries or sequelae were excluded. The correlation of WMSDs between different body sites was estimated by the prevalence ratio (PR) calculated by log-binominal model. The influencing factors of multi-site WMSDs of the main affected body sites were analyzed by multinomial logistic regression model.Results: The overall prevalence rate of WMSDs was 79.7% among the manufacturing workers. The main affected body sites were lower back, neck, shoulder and upper back, of which the prevalence rates were 62.3%, 55.7%, 45.6%, and 38.7%, respectively. The PR values of WMSDs among these sites were relatively high. The prevalence of multi-site WMSDs involving these four sites at the same time was 25.2%, and that of three to four sites was 41.4%. Multinomial Logistic regression analysis suggested that influencing factors of multi-site WMSDs in 3-4 sites of neck, shoulder, upper back and lower back involved several aspects. Among these factors, females (OR=2.86, 95%CI 2.38-3.33) and individuals with job tenure of 15-19 years (OR=1.87, 95%CI 1.49-2.34) might have higher risk of disease. Biomechanical factors, such as often bending neck forward or holding neck in a forward position for long periods (OR=2.15, 95%CI 1.86-2.48), often twisting neck or holding neck in a twisted position for long periods (OR=1.64, 95%CI 1.40-1.92) and often twisting trunk heavily (OR=1.40, 95%CI 1.20-1.64) might be risk factors. In the aspect of work organization, doing the same work every day (OR=1.73, 95%CI 1.44-2.08), shortage of workers (OR=1.50, 95%CI 1.31-1.71) and often working overtime (OR=1.38, 95%CI 1.20-1.60) might increase the risk of disease. Factors, such as often standing for long periods at work (OR=0.77, 95%CI 0.65-0.91) and feeling breaks sufficient (OR=0.51, 95%CI 0.44-0.59) were suggested to be protective factors with OR<1.Conclusion: The pre-valence rates of WMSDs in neck, shoulder, upper back, and lower back were high among manufacturing workers in this study. The correlation of WMSDs of these four sites was close in this study, and the comorbidity rate of 3-4 sites of these sites was relatively high, suggesting that there might be a multi-site occurrence pattern of WMSDs in “neck-shoulder-upper back-lower back” among manufacturing workers. The main influencing factors of this pattern included individual factors, biomechanical factors and work organization factors.

Key words: Manufacturing industry, Musculoskeletal disorders, Risk factors

中图分类号: 

  • R13

表1

调查对象的人口学特征(n=8 021)"

Items n Constituent ratio/%
Gender
Male 6 170 76.9
Female 1 804 22.5
Age
18 years old- 1 048 13.1
26 years old- 2 862 35.7
36 years old- 2 906 36.2
46 years old- 1 205 15.0
Education level
≤Middle school 1 356 16.9
High school 4 531 56.5
≥College/University 2 134 26.6
BMI
<18.5 kg/m2 459 5.7
18.5 kg/m2- 5 107 63.7
24 kg/m2- 2 113 26.3
28 kg/m2- 342 4.3
Job tenure
<5 years old 2 042 25.5
5 years old- 1 581 19.7
10 years old- 1 337 16.7
15 years old- 1 058 13.2
20 years old- 1 763 22.0
Factory
A 1 752 21.8
B 3 876 48.3
C 1 723 21.5
D 670 8.4

表2

不同部位WMSDs的相关度(PR值)"

Affected sites
of WMSDsa
Affected sites of WMSDsb
Neck Shoulder Upper back Elbow Wrist/Hand Lower back Hip/Thigh Knee Ankle/Foot
Neck 1.91* 1.22* 1.00 1.04* 1.51* 1.05* 1.03* 1.00
Shoulder 2.05* 1.58* 1.14* 1.13* 1.14* 1.05* 1.09* 0.98
Upper back 1.78* 2.25* 1.17* 1.09* 1.87* 1.15* 1.07* 1.04*
Elbow 1.13 1.82* 1.70* 2.67* 1.29* 1.81* 1.70* 1.35*
Wrist/Hand 1.26* 1.36* 1.13* 1.53* 1.76* 1.12* 1.14* 1.39*
Lower back 1.57* 1.06* 1.23* 1.00 1.09* 1.02* 1.13* 1.03*
Hip/Thigh 1.47* 1.30* 1.67* 1.90* 1.47* 1.87* 1.81* 1.97*
Knee 1.25* 1.26* 1.20* 1.29* 1.20* 2.09* 1.29* 1.69*
Ankle/Foot 1.16* 0.98 1.15* 1.27* 1.76* 1.57* 1.65* 2.02*

表3

“颈-肩-上背-下背”WMSDs多部位患病情况"

Numbers of affected site Workers, n Constituent ratio/%
0 1 918 23.9
1 1 309 16.3
2 1 479 18.4
3 1 297 16.2
4 2 018 25.2
Total 8 021 100.0

表4

“颈-肩-上背-下背”多部位WMSDs影响因素多分类Logistic回归分析"

Variables OR (95%CI)
1-2 site(s) with WMSDs 3-4 sites with WMSDs
Gender
Male 1.00 1.00
Female 1.41 (1.19, 1.69)# 2.86 (2.38, 3.33) #
Education level
≤Middle school 1.00 1.00
High school 1.27 (1.07, 1.50)# 1.26 (1.06, 1.50) *
≥College/University 1.39 (1.14, 1.70) # 1.47 (1.19, 1.80) #
Job tenure
<5 years 1.00 1.00
5 years- 1.18 (0.98, 1.41) 1.45 (1.20, 1.74) #
10 years- 1.36 (1.12, 1.66) # 1.71 (1.39, 2.09) #
15 years- 1.55 (1.24, 1.93) # 1.87 (1.49, 2.34)#
20 years- 1.38 (1.14, 1.67) # 1.80 (1.48, 2.19)#
Factory
A 1.00 1.00
B 0.65 (0.55, 0.78)# 0.70 (0.58, 0.84) #
C 0.64 (0.53, 0.78)# 0.71 (0.58, 0.87) #
D 0.77 (0.58, 1.02) 0.91 (0.68, 1.21)
Often lifting in uncomfortable position 0.89 (0.76, 1.04) 1.34 (1.14, 1.57) #
Exerting great force with arms or hands 1.33 (1.14, 1.55)# 1.31 (1.12, 1.54) #
Often bending neck forward or holding neck forward for long periods 1.23 (1.08, 1.41)# 2.15 (1.86, 2.48) #
Often twisting neck or holding neck in twisted position for long periods 1.25 (1.07, 1.47) # 1.64 (1.40, 1.92)#
Often twisting slightly with trunk 0.78 (0.69, 0.90) # 0.83 (0.72, 0.96) #
Often twisting heavily with trunk 1.14 (0.98, 1.33) 1.40 (1.20, 1.64) #
Often standing for long periods at work 0.99 (0.84, 1.15) 0.77 (0.65, 0.91) #
Often working overtime 1.26 (1.10, 1.45) # 1.38 (1.20, 1.60) #
Doing the same work almost everyday 1.30 (1.10, 1.53) # 1.73 (1.44, 2.08)#
Having sufficient breaks 0.77 (0.67, 0.88)# 0.51 (0.44, 0.59) #
Can choose the moment of a break 1.00 (0.87, 1.16) 0.81 (0.69, 0.94) #
Short of workers 1.27 (1.14, 1.45) # 1.50 (1.31, 1.71) #
Sometimes slipping or falling during work 1.15 (0.99, 1.33) 1.40 (1.21, 1.63) #
[1] 徐相蓉, 王生, 余善法, 等. 工作相关肌肉骨骼疾患的行业流行趋势及进展[J]. 中国工业医学杂志, 2016,29(4):278-282.
[2] GBD 2016 DALYs and HALE Collaborators. Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016BD 2016 DALYs and HALE Collaborators. Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016[J]. Lancet, 2017,390(10100):1260-1344.
[3] 金宪宁, 娜扎开提·买买提, 王世娟, 等. 工作相关肌肉骨骼疾患经济负担研究现状[J]. 中国职业医学, 2019,46(1):117-120.
[4] 贾宁, 陈西峰, 郑成彬, 等. 某船舶制造厂工人工作相关肌肉骨骼疾患的发生情况及危险因素[J]. 环境与职业医学, 2018,35(5):377-383.
[5] Hembecker PK, Reis CD, Konrath AC, et al. Investigation of musculoskeletal symptoms in a manufacturing company in Brazil: A cross-sectional study[J]. Braz J Phys Ther, 2017,21(3):175-183.
[6] 杨磊, Hildebrandt VH, 余善法, 等. 肌肉骨骼疾患调查表介绍附调查表[J]. 工业卫生与职业病, 2009,35(1):25-31.
[7] 杜巍巍, 王生, 王建新, 等. 肌肉骨骼疾患问卷的信度与效度评价[J]. 中华劳动卫生职业病杂志, 2012,30(5):335-338.
[8] 何丽华, 王生, 杨磊, 等. 职业性肌肉骨骼损伤的流行病学研究[C]. 中国职业安全健康协会2013年学术年会论文集, 2013: 466-470.
[9] 健康中国行动推进委员会. 健康中国行动(2019—2030年)[EB/OL]. ( 2019- 07- 09) [2020-03-10]. http://www.nhc.gov.cn/guihuaxxs/s3585u/201907/e9275fb95d5b4295be830841-5d4cd1b2/files/470339610aea4a7887d0810b4c00c9bd.pdf.
[10] 杨秋月, 王海椒, 刘丽华, 等. 某家具制造企业工人职业性肌肉骨骼疾患调查分析[J]. 职业卫生与应急救援, 2018,36(6):497-500.
[11] 郭智屏, 刘新霞, 刘浩中, 等. 制造行业生产工人职业性肌肉骨骼疾患影响因素[J]. 中国职业医学, 2017,44(4):459-462.
[12] Abaraogu UO, Okafor UAC, Ezeukwu AO, et al. Prevalence of work-related musculoskeletal discomfort and its impact on activity: A survey of beverage factory workers in Eastern Nigeria[J]. Work, 2015,52(3):627-634.
[13] Van L, Chaiear N, Sumananont C, et al. Prevalence of musculoskeletal symptoms among garment workers in Kandal province, Cambodia[J]. J Occup Health, 2016,58(1):107-117.
[14] 陈振龙, 赵艳, 易桂林, 等. 某电子企业作业工人肌肉骨骼疾患调查分析[J]. 工业卫生与职业病, 2016,42(6):433-436.
[15] Paananen MV, Taimela SP, Auvinen JP, et al. Risk factors for persistence of multiple musculoskeletal pains in adolescence: A 2-year follow-up study[J]. Eur J Pain, 2010,14(10):1026-1032.
[16] 金宪宁, 娜扎开提·买买提, 王世娟, 等. 某轨道客车制造企业作业人员多部位工作相关肌肉骨骼疾患影响因素分析[J]. 中国职业医学, 2019,46(2):144-151.
[17] 叶荣, 郜艳晖, 杨翌, 等. log-binomial模型估计的患病比及其应用[J]. 中华流行病学杂志, 2010,31(5):576-578.
[18] Haukka E, Leino-Arjas P, Solovieva S, et al. Co-occurrence of musculoskeletal pain among female kitchen workers[J]. Int Arch Occup Environ Health, 2006,80(2):141-148.
[19] 吴家兵, 凌瑞杰, 王正伦, 等. 某汽车公司工人多部位肌肉骨骼疾患及危险因素[J]. 中华劳动卫生职业病杂志, 2013,31(5):356-360.
[20] Beales D, Kyaw-Myint SM, Smith A, et al. Work productivity loss in young workers is substantial and is associated with spinal pain and mental ill-health conditions[J]. J Occup Environ Med, 2017,59(3):237-245.
pmid: 28267094
[21] 岳鹏莹, 李丽萍, 刘凤英, 等. 中小学教师工作相关肌肉骨骼疾患及其危险因素的研究[J]. 人类工效学, 2013,19(2):1-5.
[22] Stock SR, Nicolakakis N, Vézina N, et al. Are work organization interventions effective in preventing or reducing work-related musculoskeletal disorders? A systematic review of the literature[J]. Scand J Work Environ Health, 2018,44(2):113-133.
pmid: 29188299
[23] 王世娟, 娜扎开提·买买提, 王富江, 等. 某电子配件加工厂作业人员肌肉骨骼疾患发生模式潜在类别分析[J]. 中国职业医学, 2019,46(3):292-296.
[24] 王思逸, 吴玲玲, 程长春, 等. 上海某医院护理人员肌肉骨骼疾患模式与危险因素[J]. 环境与职业医学, 2019,36(2):112-120.
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