Volume 5, Issue 3 (2020)
IJMPP 2020, 5(3): 360-366 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Ahmadi O, Sheikh Damenab P, Abbaspour A, Rasoulzadeh Y. Musculoskeletal Disorders Risk Assessment in Serviceman Workers of a Petrochemical Company. IJMPP 2020; 5 (3) :360-366
URL: http://ijmpp.modares.ac.ir/article-32-47037-en.html
URL: http://ijmpp.modares.ac.ir/article-32-47037-en.html
1- Department of Occupational Health Engineering, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
2- Department of Occupational Health Engineering and Safety Work, Tabriz University of Medical Sciences, Tabriz, Iran.
3- Department of Ergonomy, Health Fculty, Shahid Beheshty University of Medical Sciences, Tehran, Iran
4- Department of Occupational Health Engineering, Health Faculty, Tabriz University of Medical Sciences, Tabriz, Iran ,Rasoulzadehy@yahoo.com
2- Department of Occupational Health Engineering and Safety Work, Tabriz University of Medical Sciences, Tabriz, Iran.
3- Department of Ergonomy, Health Fculty, Shahid Beheshty University of Medical Sciences, Tehran, Iran
4- Department of Occupational Health Engineering, Health Faculty, Tabriz University of Medical Sciences, Tabriz, Iran ,
Abstract: (2345 Views)
Aim: Ergonomic risk factors are one of the main factors in the occurrence of Work-related Musculoskeletal Disorders (WMSDs). The serviceman workers are exposed to various health and safety risk factors during their activities. This study aimed to assess the risk of musculoskeletal disorders in serviceman workers of a Petrochemical company.
Method and Instruments: In this descriptive cross sectional study, first, the posture of 106 serviceman workers were assessed using REBA method. Then, the prevalence of WMSDs symptom was investigated using Nordic Questionnaire (NQ). The collected data were analyzed by SPSS software using statistical Chi-square test.
Findings: Rapid Entire Body Assessment (REBA) score for serviceman workers involved in insulation, electrical and Instrumentation related work was 11, 12 and 13 (high risk) respectively. The highest prevalence of musculoskeletal disorders was reported in the lower back and knees. Significant relationship (p <0. 05) was observed between work experience and disorders symptom in knee.
Conclusion: This study showed high prevalence of WMSDs symptom in study population, especially in their waist and knee. Moreover, it was indicated that the working conditions of serviceman workers needs to be improved. Training the workers to identify the risk factors and use proper ergonomic principles and procedures is recommended.
Method and Instruments: In this descriptive cross sectional study, first, the posture of 106 serviceman workers were assessed using REBA method. Then, the prevalence of WMSDs symptom was investigated using Nordic Questionnaire (NQ). The collected data were analyzed by SPSS software using statistical Chi-square test.
Findings: Rapid Entire Body Assessment (REBA) score for serviceman workers involved in insulation, electrical and Instrumentation related work was 11, 12 and 13 (high risk) respectively. The highest prevalence of musculoskeletal disorders was reported in the lower back and knees. Significant relationship (p <0. 05) was observed between work experience and disorders symptom in knee.
Conclusion: This study showed high prevalence of WMSDs symptom in study population, especially in their waist and knee. Moreover, it was indicated that the working conditions of serviceman workers needs to be improved. Training the workers to identify the risk factors and use proper ergonomic principles and procedures is recommended.
Article Type: Original Research |
Subject:
Physical Therapy and Rehabilitation
Received: 2020/10/22 | Accepted: 2020/11/8 | Published: 2020/11/14
Received: 2020/10/22 | Accepted: 2020/11/8 | Published: 2020/11/14
References
1. Choobineh A. Posture evaluation methods in occupational ergonomics. Tehran: Fanavaran Publication Co. 2007: 1-27.
2. Maul I, Läubli T, Klipstein A, Krueger H. Course of low back pain among nurses: a longitudinal study across eight years. JOEM. 2003; 60(7): 497-503. [DOI:10.1136/oem.60.7.497]
3. Smith DR, Sato M, Miyajima T, Mizutani T, Yamagata Z. Musculoskeletal disorders selfreported by female nursing students in central Japan: a complete cross-sectional survey. IJNS. 2003; 40(7): 725-9. [DOI:10.1016/S0020-7489(03)00012-9]
4. Taghavi SM, Mokarami H, Ahmadi O, Stallones L, Abbaspour A, Marioryad H. Risk factors for developing work-related musculoskeletal disorders during dairyfarming. Int J Occup Environ Med (The IJOEM). 2017; 8(1): 39. [DOI:10.15171/ijoem.2017.861]
5. Omran A, Reza G, Shamsedin AS, Yahya R, Pouria SD. Prevalence of musculoskeletal disorders among farmers in eastern Azerbaijan, Iran. Indian Journal of Science and Technology. 2015; 8(28): 1-6. [DOI:10.17485/ijst/2015/v8i28/83330]
6. Valipour F, Yahyayi E, Shokri S, Ahmadi O. Assessment of the Staff Working Posture Using REBA & ROSA Methods in a Hospital. Health Research Journal. 2016; 1(3): 167-72. [DOI:10.18869/acadpub.hrjbaq.1.3.171]
7. Shokri S, Qhalenoy M, Taban E, Ahmadi O, Kohnavard B. Evaluation of prevalence of musculoskeletal disorders among students using portable computer in faculty of health, Qazvin university of medical sciences. Journal of health research in community. 2015; 1(3): 9-15.
8. Ahmadi O, Rasoulzadeh Y, Abbaspour A,Damanab PS, Rahimzadeh M, Keshizadeh F, et al. Personality and its relationship with prevalence of musculoskeletal disorders. Jentashapir J. Health Res. 2016; 7(6). [DOI:10.17795/jjhr-37936]
9. Nahit E, MacFarlane GJ, Pritchard C, Cherry N, Silman A. Short term influence of mechanical factors on regional musculoskeletal pain: a study of new workers from 12 occupational groups. JOEM. 2001; 58(6): 374-81. [DOI:10.1136/oem.58.6.374]
10. Esfandiari N, Samaei SE, Amrollahi M. The Prevalence of Musculoskeletal Disorders and Ergonomic Risk Factors in Repair men: a Case Study in a Steel Industry. Health and Development Journal. 2018; 7(1): 49-59.
11. Nasaruddin AFA, Tamrin SBM, Karuppiah K. The prevalence of musculoskeletal disorder and the association with risk factors among auto repair mechanics in klang valley, Malaysia. IJPH. 2014; 43(Supple 3): 34-41.
12. Asadi H, Yu D, Mott JH. Risk factors for musculoskeletal injuries in airline maintenance, repair & overhaul. Int. J. Ind. Ergon. 2019; 70: 107-15. [DOI:10.1016/j.ergon.2019.01.008]
13. Milczarek M, Kosk-Bienko J, Muylaert K, Op te Beeck R, Royo S, Grusenmeyer C, et al. Maintenance and Occupational Safety and Health: A statistical picture. European risk observatory EA-OSHA, Luxembourg. 2010.
14. Habibi E, Poorabdian S, Ahmadinejad P, Hassanzadeh A. Ergonomic risk assessment by REBA method. IOH. 2007; 4(3): 35-43.
15. Kuorinka I, Jonsson B, Kilbom A, Vinterberg H, Biering-Sørensen F, Andersson G, et al. Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms. Applied ergonomics. 1987; 18(3): 233-7. [DOI:10.1016/0003-6870(87)90010-X]
16. Habibi E, Karimi S, Hassanzadeh A. Evaluation of ergonomic risk factors by OCRA method in assembly industry. IOH. 2008; 5(1, 2): 70-76. .
17. Gorgi Z, Assadollahi Z, Ghaffarian A, Rezaeian M. The Prevalence of musculoskeletal disorders in the employees of office systems at Rafsanjan University of Medical Sciences in 2012. Journal of Rafsanjan University of Medical Sciences. 2014; 12(12): 991-1002.
18. Choobineh A, Soleimani E, Mohamadbeigi A. Musculoskeletal symptoms among workers of metal structure manufacturing Industry. IRJE 2009, 5(3): 35-43
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |