Volume 6, Issue 3 (2021)
IJMPP 2021, 6(3): 545-553 |
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:
Salimi F, Sheikhmozafari M J, Tayebisani S, Ahmadi O. Risk Assessment of Musculoskeletal Disorders Prevalence in Female Hairdressers using RULA and NERPA Techniques. IJMPP 2021; 6 (3) :545-553
URL: http://ijmpp.modares.ac.ir/article-32-51066-en.html
URL: http://ijmpp.modares.ac.ir/article-32-51066-en.html
1- Department of Occupational Health and safety Engineering, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
2- Department of Occupational Health and safety Engineering, Faculty of Public Health, Sabzevar University of Medical Sciences, Sabzevar, Iran
3- Department of Occupational Health and safety Engineering, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran , O.ahmadi@modares.ac.ir
2- Department of Occupational Health and safety Engineering, Faculty of Public Health, Sabzevar University of Medical Sciences, Sabzevar, Iran
3- Department of Occupational Health and safety Engineering, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran , O.ahmadi@modares.ac.ir
Abstract: (1901 Views)
Aim: An Objective measure of ergonomic risk factors in the workplace performs a significant role in preventing the prevalence of Work-related Musculoskeletal Disorders (WMSDs). Hairdressers are exposed to various safety and health risk factors due to the nature of their job. This study aimed to assess the risk of prevalence of WMSDs in female hairdressers.
Method and Materials: In this study, the physical postures of 70 female hairdressers were assessed using Rapid Upper Limb Assessment (RULA) and Novel Ergonomic Postural Assessment (NERPA) and then the Nordic Questionnaire (NQ) was used to assess the prevalence of WMSDs.
Findings: RULA and NERPA final score in the worst and longest postures for hairdressers was 7. The highest prevalence of WMSDs was reported in the shoulder, knee and, neck area of the body. There was a significant relationship between hairdresser’s age and the prevalence of WMSDs in the shoulders, back, waist, knees and, ankles areas. The prevalence of WMSDs was found to have a significant relationship with standing-sitting activities.
Conclusion: The findings of this research revealed that the study population had a high prevalence of WMSDs, especially in the shoulder, knee and, neck areas. This study suggested that the conditions of the workplace should be improved. Therefore, in addition to improving working conditions, it is recommended that hairdressers be trained in identifying workplace hazards and so using proper ergonomic standards while working.
Method and Materials: In this study, the physical postures of 70 female hairdressers were assessed using Rapid Upper Limb Assessment (RULA) and Novel Ergonomic Postural Assessment (NERPA) and then the Nordic Questionnaire (NQ) was used to assess the prevalence of WMSDs.
Findings: RULA and NERPA final score in the worst and longest postures for hairdressers was 7. The highest prevalence of WMSDs was reported in the shoulder, knee and, neck area of the body. There was a significant relationship between hairdresser’s age and the prevalence of WMSDs in the shoulders, back, waist, knees and, ankles areas. The prevalence of WMSDs was found to have a significant relationship with standing-sitting activities.
Conclusion: The findings of this research revealed that the study population had a high prevalence of WMSDs, especially in the shoulder, knee and, neck areas. This study suggested that the conditions of the workplace should be improved. Therefore, in addition to improving working conditions, it is recommended that hairdressers be trained in identifying workplace hazards and so using proper ergonomic standards while working.
Article Type: Original Research |
Subject:
Musculoskeletal Pain Prevention
Received: 2021/03/19 | Accepted: 2021/05/10 | Published: 2021/06/20
Received: 2021/03/19 | Accepted: 2021/05/10 | Published: 2021/06/20
References
1. Choobineh A. Posture evaluation methods in occupational ergonomics. Tehran: Fanavaran Publication Co. 2018: 1-27. Fifth Edition.
2. Neshastegar F, Halvani G, Choobineh A, AhmadiyeYazdi M. Prevalence of musculoskeletal disorders and determination of associated risk factors in female workers in clothing manufacturing workshops of Yazd city. TKJ. 2019; 11 (2) :53-66 [DOI:10.18502/tkj.v11i2.2632]
3. Sheikhmozafari MJ, Salimi F, Ahmadi O. Risk Assessment of MusculoSkeletal Disorders among workers of a housekeeping service company in Kerman, Iran. IJMPP. 2020;5(4):402-9.
4. Hashemi Habibabadi R, Mohammadi M, Zare Mehrani E, Ansari Moghaddam A. Risk Assessment of Musculoskeletal Disorders in Bandar-Abb:as char:ging Berth Workers Using MAC Method in 2011. Journal of Rafsanjan University of Medical Sciences and Health Services. 2016;15(6):527-36.
5. Health and Safety Executive, Work-Related Musculoskeletal Disorders (WRMSDs) Statistics in Great Britain, Health and Safety Executive, Chelmsford, UK, 2018, http://www.hse.gov.uk/ statistics/causdis/msd.pdf.
6. Dastaran S, Hasheminejad N, Saeidi C, Madadizadeh F. Assessment of Risk Factors and Prevalence of Musculoskeletal Disorders in Coppersmiths of Kerman City by RULA Method. OHHP. 2017;1(1):72-8.
7. Coluci MZO, Alexandre NMC, de Freitas Pedrini T. Musculoskeletal symptoms and workers' perception about job factors in a pulp and paper industry. Work. 2012;41(Supplement 1):5728-30. [DOI:10.3233/WOR-2012-0932-5728]
8. Mekonnen TH, Abere G, Olkeba ShW., "Risk Factors Associated with Upper Extremity Musculoskeletal Disorders among Barbers in Gondar Town, Northwest Ethiopia, 2018: A CrossSectional Study", Pain Res. Manag. 2019. [DOI:10.1155/2019/6984719]
9. Haghdoost AA, Hajihosseini F, Hojjati H. Relationship between the musculoskeletal disorders with the ergonomic factors in nurses. Koomesh. 2011;12(4):327-378
10. Zareei S, Norouzi E, Nekoei Esfahani A, Kanani B. Prevalence of Work-Related Musculoskeletal Disorders amongst Obstetrics and Gynaecology Professionals. Medical Journal of Mashhad University of Medical Sciences. 2020;62(6):1866-73.
11. Zamani Badi H. The prevalence of musculoskeletal complaints in the city of Isfahan during the year 2017. TKJ. 2018;10(3):13-21.
12. Riyahi A, Pooryamanesh L, Tanha F, Moradzadeh R. Studying Musculoskeletal Disorders Prevalence and Its Associated Factors Among Education Office Employees in Arak in 2016-17: A Descriptive Study. JRUMS. 2019;17(10):913-24.
13. Zolfaghari F, Zare R. Ergonomic Posture Evaluation and Risk Factors for Musculoskeletal Disorders among Nurses in Arak City by QES Method. IJRN. 2020;6(3):17-24.
14. Sadeghi Yarandi M, Koohpaei A, Arsang Jang S, Ebrahimi A. Ergonomic evaluation of working postures and analysis of relationship between physical activities with musculoskeletal disorders among men barbers in Karaj (Iran). Arch Hyg Sci. 2018;7(2):98-105. [DOI:10.29252/ArchHygSci.7.2.98]
15. Taghavi SM, Mokarami H, Ahmadi O, Stallones L, Abbaspour A, Marioryad H. Risk factors for developing work-related musculoskeletal disorders during dairy farming. Int J Occup Environ Med. 2017;8(1):39-45. [DOI:10.15171/ijoem.2017.861]
16. Omran A, Reza G, Shamsedin AS, Yahya R, Pouria SD. Prevalence of musculoskeletal disorders among farmers in eastern Azerbaijan, Iran. Indian J Sci Technol. 2015;8(28). [DOI:10.17485/ijst/2015/v8i28/83330]
17. 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. J Health Res Commun. 2015;1(3):9-15.
18. Ahmadi O, Rasoulzadeh Y, Abbaspour A, Damanab PS, Rahimzadeh M, Keshizadeh F, et al. Personality and its relationship with prevalence entashapir Journal of Health Research: 7 (6); e37936.
19. Ahmadi O, Sheikh Damenab P, Abbaspour A, Rasoulzadeh Y. Musculoskeletal Disorders Risk Assessment in Serviceman Workers of a Petrochemical Company. IJMPP. 2020;5(3):360-6.
20. Mahdavi S, Mahdavi M, Safary M, Rashidi R, Dehghani T, Kosari M. Evaluation of the risk ofmusculoskeletal disorders using Rapid Entire Body Assessment among hairdressers in Khorramabad, Iran, in 2014. JOHE. 2013;2(3):138-45. [DOI:10.18869/acadpub.johe.2.3.138]
21. Khandan M, Toranjian F, Koohpaei A. Musculoskeletal disorders assessment and posture analysis by LUBA among female hairdressers in Tehran, 2015. Arch Hyg Sci. 2017;6(1):26-31. [DOI:10.29252/ArchHygSci.6.1.26]
22. Frootan E, Mazloomi A, Habibi Mohraz M, Taghavi Shahri SM, Soori Sh, Moharami S. Ergonomic evaluation of body postures and effective risk factors contributing musculoskeletal disorder in barbers in SARDASHT. JHSW. 2012; 1 (2) :45-50.
23. Hassan O, Bayomy H. Occupational respiratory and musculoskeletal symptoms among Egyptian female hairdressers. J. Community Health. 2015;40(4):670-9. [DOI:10.1007/s10900-014-9983-y]
24. Reza-Soltani A, Auzagee S, Eghlidi J, Sayadli S. Job related factors concerning neck and back disorders in hair dressers. IOH. 2008;5(3):29-34.
25. Rezaei Hachesu V, Naderyan Feli S, Azimi M, Aminaei F. Ergonomic Assessment of the Risk of Musculoskeletal Disorders in the Cleaners. TBJ. 2018;17(2):60-9.
26. Li L, Xu X. A deep learning-based RULA method for working posture assessment. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting. SAGE Publications. 2019;63(1):1090-1094). [DOI:10.1177/1071181319631174]
27. Gómez-Galán M, Callejón-Ferre Á-J, Pérez-Alonso J, DÍAZ-Pérez M, Carrillo-Castrillo J-A. Musculoskeletal risks: RULA bibliometric review. Int. J. Environ. Res. Public Health. 2020;17(12):4354. [DOI:10.3390/ijerph17124354]
28. Sanchez-Lite A, Garcia M, Domingo R, Sebastian MA. Novel ergonomic postural assessment method (NERPA) using product-process computer aided engineering for ergonomic workplace design. PloS one. 2013;8(8):e72703. [DOI:10.1371/journal.pone.0072703]
29. Yazdanirad S, Khoshakhlagh AH, Habibi E, Zare A, Zeinodini M, Dehghani F. Comparing the effectiveness of three ergonomic risk assessment methods-RULA, LUBA, and NERPA-to predict the upper extremity musculoskeletal disorders. Indian J. Occup. Environ. Med. 2018;22(1):17-21. [DOI:10.4103/ijoem.IJOEM_23_18]
30. Khandan M, Vosoughi S, Poursadeghiyan M, Azizi F, Ahounbar E, Koohpaei A. Ergonomic assessment of posture risk factors among Iranian Workers: An alternative to conventional methods.Iran. Rehabil. J. 2018;16(1):11-6. [DOI:10.29252/nrip.irj.16.1.11]
31. Vosough S, Mahdavi S. Ergonomic Assessment of Working Postures Using NERPA and REBA Methods (Case Study: Abadan Oil Refinery). AOH. 2020;4(3):632-41.
32. Umar A, Abdullah A, Opara JA, Abdulkadir M, Yahaya S, Njodi IA, et al. Prevalence of WorkRelated Musculoskeletal Disorders among Commercial Tricycle Riders in Maiduguri Metropolis. MJBE.2020;1(1):106-113.
33. Saeidi C, Dastaran S, Musavi S. Evaluation of the Risk Factors of Musculoskeletal Disorders and its Relation to the Workload of Employees at 118 Call Center in Sanandaj, Iran. JHAD. 2020;5(2):110-21.
34. Mussi G, Gouveia N. Prevalence of workrelated musculoskeletal disorders in Brazilian hairdressers. Occup Med. 2008;58(5):367-369. [DOI:10.1093/occmed/kqn047]
35. Etemadinezhad S, Ranjbar F, Charati JY. Investigation into the musculoskeletal disorders prevalence and postural assessment among barbers in Sari-2016. Iran. J. Health Sci.. 2018;6(4):40-46. [DOI:10.18502/jhs.v6i4.203]
36. Hokmabadi R, Esmailzade Kavaki M, Mahdinia M. Evaluation of ergonomic postures of hairdressers by rapid entire body assessment. JNKUMS. 2012;3(4):49-54. [DOI:10.29252/jnkums.3.4.49]
37. Yousefi M, ilbrigi S, Farjad Peseshk A, Samvati Sharif S. Musculoskeletal Disorders and the Posture of Male Barbers in Tehran Province. SJRM. 2019; 8(1): 148-155.
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |