互联网企业员工工作时长与职业性肌肉骨骼疾患的关联分析

doi:10.19485/j.cnki.issn2096-5087.2022.12.014

Preventive Medicine

2022, Vol. 34

Issue (12): 1262-1266,1272 DOI: 10.19485/j.cnki.issn2096-5087.2022.12.014

Disease Control

Current Issue | Archive | Adv Search

Relationship between working duration and work-related musculoskeletal disorders among Internet enterprise employees

WU Yikang, ZHOU Zhehua, WU Daming

Department of Environment and Health, Jiaxing Center for Disease Control and Prevention, Jiaxing, Zhejiang 314001, China

Abstract
Figure/Table
References
Related Citation (0)

Download: PDF (844 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Objective To investigate the relationship between working duration and work-related musculoskeletal disorders (WMSDs) among Internet enterprise employees. Methods Employees were randomly sampled from five Internet enterprises in Jiaxing City of Zhejiang Province using the cluster sampling method. Participants' demographics and working duration were collected using questionnaire surveys, and the fatigue accumulation and WMSDs were assessed using the Self-diagnosis Questionnaire for Fatigue Accumulation and the Musculoskeletal Disorders Questionnaire. The working duration per week was classified into 40 h and less, 40 to 48 h, 48 to 56 h and 56 h and longer, and more than 40 h working duration per week was defined as long working duration. The association between working duration and WMSDs was examined with a multivariable logistic regression model. Results Among 334 questionnaires recovered, 280 were valid, with an effective recovery rate of 83.83%. The participants included 211 men (75.36%) and 69 women (24.64%), and there were 204 participants at ages of less than 36 years (72.86%) and 234 participants with long working duration (83.57%). The detection of fatigue accumulation and WMSDs was 33.21% and 65.36% among the participants, with the highest prevalence of WMSDs detected in the neck (52.50%). Multivariable logistic regression analysis showed that weekly working duration correlated with WMSDs (>40 to 48 h, OR=2.199, 95%CI: 1.083-4.468; >56 h, OR=6.688, 95%CI: 1.902-23.520) after adjustment for gender, marital status and sleep disorders. If fatigue accumulation was included in the model, there was no statistical correlation between weekly working duration and WMSDs (P>0.05). Conclusion Long working duration may increase the risk of WMSDs among Internet enterprise employees, and fatigue accumulation may play a mediating role.

Key words： working duration work-related musculoskeletal disorders fatigue Internet enterprise

Received: 05 September 2022 Revised: 25 October 2022 Published: 13 December 2022

ZTFLH:

R322.74

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	WU Yikang
	ZHOU Zhehua
	WU Daming

Cite this article:

WU Yikang,ZHOU Zhehua,WU Daming. Relationship between working duration and work-related musculoskeletal disorders among Internet enterprise employees[J]. Preventive Medicine, 2022, 34(12): 1262-1266,1272.

URL:

http://www.zjyfyxzz.com/EN/10.19485/j.cnki.issn2096-5087.2022.12.014 OR http://www.zjyfyxzz.com/EN/Y2022/V34/I12/1262

[1] 中华人民共和国中央人民政府.中华人民共和国劳动法[EB/OL].(1995-01-01)[2022-10-25].http://www.gov.cn/banshi /2005-08/31/content_74649.htm.
[2] 洪泸敏,刘德峰.新常态下珠三角互联网企业员工职业压力问题研究[J].职业与健康,2019,35(3):371-375.
HONG L M,LIU D F.Research on occupational pressure of employees in Internet enterprises in the pearl river delta under the new normal background[J].Occup Health,2019,35(3):371-375.
[3] ALICANDRO G,BERTUCCIO P,SEBASTIANI G,et al.Long working hours and cardiovascular mortality:a census-based cohort study[J].Int J Public Health,2020,65(3):257-266.
[4] TSUNO K,KAWACHI I,INOUE A,et al.Long working hours and depressive symptoms:moderating effects of gender,socioeconomic status,and job resources[J].Int Arch Occup Environ Health,2019,92(5):661-672.
[5] VIRTANEN M,MAGNUSSON HANSSON L,GOLDBERG M,et al.Long working hours,anthropometry,lung function,blood pressure and blood-based biomarkers:cross-sectional findings from the CONSTANCES study[J].J Epidemiol Community Health,2019,73(2):130-135.
[6] 李赞,戴俊明,张丹,等.国家电网某公司员工长工时对职业应激和抑郁的影响[J].中华劳动卫生职业病杂志,2018,36(4):271-274.
LI Z,DAI J M,ZHANG D,et al.Association between long working hours and job stress and depression among employees from a state grid company[J].Chin J Ind Hyg Occup Dis,2018,36(4):271-274.
[7] 罗环,梁婧,张非若,等.北京市重型汽车零部件生产企业工人职业性肌肉骨骼疾患调查[J].预防医学,2022,34(8):809-815.
LUO H,LIANG J,ZHANG F R,et al.Prevalence of occupational musculoskeletal disorders among workers inheavy-duty automobile parts factories in Beijing Municipality[J].Prev Med,2022,34(8):809-815.
[8] KRISHNAN K S,RAJU G,SHAWKATALY O.Prevalence of work-related musculoskeletal disorders:psychological and physical risk factors[J/OL].Int J Environ Res Public Health,2021,18(17)[2022-10-25].https://doi.org/10.3390/ijerph18179361.
[9] CHENG X,SONG M,KONG J,et al.Influence of prolonged visual display terminal use and exercise on physical and mental conditions of internet staff in Hangzhou,China[J/OL].Int J Environ Res Public Health,2019,16(10)[2022-10-25].https://doi.org/10.3390/ijerph16101829.
[10] 赵秋雯,戴俊明,李赞,等.外来员工长工时和轮班作业与睡眠状况的相关性[J].环境与职业医学,2022,39(2):147-152.
ZHAO Q W,DAI J M,LI Z,et al.Correlations of long working hours and shift work with sleep of migrant workers[J].J Environ Occupl Med,2022,39(2):147-152.
[11] 黄河,耿东,丑纪岳.疲劳蓄积度自测与过劳预防[J].中国人力资源开发,2009(8):35-37,74.
HUANG H,GENG D,CHOU J Y.Self testing of accumulated fatigue and prevention from overwork[J].Hum Resour Dev China,2009(8):35-37,74.
[12] 杨磊,HILDEBRANDT V H,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.
YANG L,HILDEBRANDT V H,YU S F,et al.Introduction to the musculoskeletal disorders questionnaire is attached[J].Ind Health Occup Dis,2009,35(1):25-31.
[13] 刘晓曼,王瑾,王超,等.长工时对互联网企业员工工作相关肌肉骨骼疾患和职业倦怠的影响[J].中国职业医学,2020,47(2):135-140.
LIU X M,WANG J,WANG C,et al.Effect of long working hours on work related musculoskeletal disorders and job burnout in internet enterprise employees[J].China Occup Med,2020,47(2):135-140.
[14] 杜曦. 小微互联网企业青年员工职场焦虑的小组工作实务探究:以深圳市Y科技园企业为例[D].重庆:西南大学,2021.
DU X.Research on group work practice of young employees in small and micro Internet companies with workplace anxiety:taking Shenzhen Y Science and Technology Park as an example[D].Chongqing:Southwest University,2021.
[15] 赵梦凯. 互联网企业新生代员工激励对工作满意度的影响[J].质量与市场,2020(14):31-33.
ZHAO M K.The impact of motivation on job satisfaction among the new generation of employees in Internet enterprises[J].Qual Mark,2020(14):31-33.
[16] ANDERSON S,STUCKEY R,OAKMAN J.Work-related musculoskeletal injuries in prosthetists and orthotists in Australia[J].Int J Occup Saf Ergon,2021,27(3):708-713.
[17] MOHAMMADIPOUR F,POURRANJBAR M,NADERI S,et al.Work-related musculoskeletal disorders in Iranian office workers:prevalence and risk factors[J].J Med Life,2018,11(4):328-333.
[18] LEE J G,KIM G H,JUNG S W,et al.The association between long working hours and work-related musculoskeletal symptoms of Korean wage workers:data from the fourth Korean working conditions survey(a cross-sectional study)[J].Ann Occup Environ Med,2018,30[2022-10-25].https://doi.org/10.1186/s40557-018-0278-0.eCollection 2018.
[19] YAMADA K,ADAMS H,ELLIS T,et al.Reductions in fatigue predict occupational re-engagement in individuals with work-related musculoskeletal disorders[J].J Occup Rehabil,2020,30(1):135-145.
[20] CARUSO C C,BUSHNELL T,EGGERTH D,et al.Long working hours,safety,and health:toward a National Research Agenda[J].Am J Ind Med,2006,49(11):930-942.