Journal of Health Sciences & Surveillance System

The Functional Movement Screening Test Score Correlates with Age, Sex and Musculoskeletal Symptoms: A Study on Health Care Personnel

Document Type : Original Article

Authors

Akram Sadat Jafari Roodbandi 1
Alireza Choobineh 1
Vafa Feyzi 2
Zohre Foroozanfar 3
Nazanin Hosseini 4

1 Research Center for Health Sciences, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran

2 Department of Occupational Health, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran

3 HIV/AIDS Research Center, Institute of health, Shiraz University of Medical Sciences, Shiraz, Iran

4 Expert Incharge of Occupational Health, Beyza Health Center, Beyza, Iran

https://doi.org/10.30476/jhsss.2022.93399.1446
Abstract
Background: Physical fitness and optimum functional movement are essential for efficient performance of job tasks without fatigue and injury. This study aimed to investigate the relationship between Functional Movement Screening (FMS) test score and prevalence of Musculoskeletal symptoms (MSSs) in emergency nurses and Emergency Medical Services (EMS) staff. The present study also sought to determine optimum cut-off point of FMS test score in health personnel.
Methods: This cross-sectional study was conducted on 134 male and female emergency nurses and EMS technicians. After watching a video tutorial and undergoing practical training of how to do the FMS test, the participants carried out the test while wearing comfortable clothes. In addition to the demographic data questionnaire, Nordic musculoskeletal questionnaire was also completed for each participant. The data were analyzed using the SPSS software, version 18 at the significance level of 0.05.
Results: Totally, 49.3% (n=66) of the participants were female. The subjects’ mean age and work experience were 35.3±8.7 and 11.4±7.7 years, respectively. Cut-off point of 17 was determined with the highest sensitivity (0.71) and specificity (0.71) based on ROC curve. The highest prevalence of MSSs was observed in the knees (n=44, 32.8%) and lower back (n=31, 23.1%). Multiple linear regression modeling also showed that age, sex, and the prevalence of MSSs were significantly associated with the FMS test score.
Conclusion: FMS test seems to be an appropriate screening tool in pre-employment and periodic medical tests for jobs requiring physical fitness and optimum functional movements.

Keywords

Musculoskeletal system
Health personnel
Diagnosis
  1. Derakhshanrad S, Alamdarifar S, ZEYNALZADEH GB. Examining the Prevalence of Musculoskeletal Impairments and Its Association with Upper Extremity Functional Disability of Nurses. JPSR 2017; 6(2):7-14. doi: 10.22038/JPSR.2017.13909.1291.
  2. Heydari P, Varmazyar S, Hakimi C. Investigation of Individual and Occupational Risk Factors on the Prevalence and Consequence of Musculoskeletal Disorders among the Rescue Department Employees in Qazvin in Year 2016. j.health. 2019; 10(1):73-82.
  3. Saraji G, Ebrahimy L, Fouladi B. A survey on ergonomic stress factors of musculoskeletal system in Iranian carpet restoration workers. Tehran Univ Med J. 2008; 65(13):25-32.
  4. Abedini R, Choobineh A, Hasanzadeh J. Patient manual handling risk assessment among hospital nurses. Work. 2015;50(4):669-75. doi: 10.3233/WOR-141826.
  5. Zamanian Z, Norouzi F, Esfandiari Z, Rahgosai M, Hasan F, Kohnavard B. Assessment of the prevalence of musculoskeletal disorders in nurses. Armaghanj. 2017; 21(10):976-86.
  6. Mokhtarinia H, Shafiee A, Pashmdarfard M. Translation and localization of the Extended Nordic Musculoskeletal Questionnaire and the evaluation of the face validity and test-retest reliability of its Persian version. Iran J Ergon. 2015; 3(3):21-9.
  7. Khan MR, Singh NK. Prevalence of musculoskeletal disorders among Indian railway sahayaks. Int J of Occup Environ Health. 2018; 24(1-2):27-37. doi: 10.1080/10773525.2018.1507187.
  8. Nur NM, Dawal S, Dahari M, editors. The prevalence of work related musculoskeletal disorders among workers performing industrial repetitive tasks in the automotive manufacturing companies. Proceedings of the 2014 International conference on industrial engineering and operations management, Bali, Indonesia; 2014.
  9. Wang M-H, Chen Y-L, Chiou W-K. Using the OVAKO working posture analysis system in cleaning occupations. Work. 2019; 63(4): 613-621. doi: 10.3233/WOR-193022. PMID: 31658093.
  10. Anghel M, Argeanu V, Talpo C, Lungeanu D. Músculoskeletal disorders (MSDS) consequences of prolonged static postures. J Exper Med Surg Res. 2007; 4:167-72.
  11. Ziaei M, Choobineh A, Abdoli-Eramaki M, Ghaem H. Individual, physical, and organizational risk factors for musculoskeletal disorders among municipality solid waste collectors in Shiraz, Iran. Industrial health. 2018; 56(4):308-319. doi: 10.2486/indhealth.2018-0011.b PMID: 29503392. PMCID: PMC6066438.
  12. Motamedzade M, Saedpanah K, Salimi K, Eskandari T. Risk assessment of musculoskeletal disorders by Muscle Fatigue Assessment method and implementation of an ergonomic intervention in Assembly industry. johe. 2016;3(1):33-40.
  13. Havenetidis K, Paxinos T. Risk factors for musculoskeletal injuries among Greek Army officer cadets undergoing Basic Combat Training. Military medicine. 2011; 176(10):1111-6. doi: 10.7205/milmed-d-10-00448. PMID: 22128644.
  14. Habibi E, Farrokhi E, Mansourian M. The Effectiveness of DINO Method in Estimating Musculoskeletal Disorders Risk Related to Patient Transfer. Iran J Ergon. 2016;4(1):56-63.
  15. Bradley H, Esformes JD. Breathing pattern disorders and functional movement. Int J Sports Phys Ther. 2014;9(1):28-39. PMID: 24567853. PMCID: PMC3924606.
  16. Elahi T, Ashtiani A, Bigdeli E. The relationship between physical fitness and mental health of the employees of a medical sciences university. J Mil Med 2012; 14(3):197-205.
  17. Cook G, Burton L, Hoogenboom B. Pre-participation screening: the use of fundamental movements as an assessment of function-part 1. N Am J sports phys ther: 2006;1(2):62-72.
  18. Sorenson EA. Functional movement screen as a predictor of injury in high school basketball athletes: University of Oregon; 2009.
  19. Kiesel K, Plisky PJ, Voight ML. Can serious injury in professional football be predicted by a preseason functional movement screen? N Am J sports phys ther. 2007; 2(3):147- 58. PMID: 21522210. PMCID: PMC2953296.
  20. Shin E, Kim Y. A Study on Functional Movement Screen and Automobile Worker. Journal of the Ergonomics Society of Korea. 2016; 35(3):125-33. doi: 10.5143/JESK.2016.35.3.125.
  21. Zarei M, Asady Samani Z, Reisi J. Can functional movement screening predict injuries in Iranian soldiers. J Mil Med. 2015; 17(2):107-14.
  22. Hosseini M, Varmazyar S, Safari A. A study of the physical status of emergency wards' personnel in hospitals affiliated to Qazvin University of Medical Sciences through REBA (Rapid Entire Body Assessment) method and its relation with muscular and skeletal disorders in Qazvin, Iran. Qom Univ Med Sci J. 2010; 3(4):32-39.
  23. Kuorinka I, Jonsson B, Kilbom A, Vinterberg H, Biering-Sørensen F, Andersson G, et al. Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms. Appl Ergon 1987; 18(3):233-7. doi: 10.1016/0003-6870(87)90010-x. PMID: 15676628.
  24. Chorba RS, Chorba DJ, Bouillon LE, Overmyer CA, Landis JA. Use of a functional movement screening tool to determine injury risk in female collegiate athletes. N Am J Sports Phys Ther. 2010; 5(2):47- 54. PMID: 21589661. PMCID: PMC2953387.
  25. Kleinbaum DG, Kupper LL, Morgenstern H. Epidemiologic research: principles and quantitative methods: John Wiley & Sons; 1982.
  26. Farahabadi M, Aliakbarzade arani Z, Chavoshizadeh SA, Barati A. Investigation of factors affecting musculoskeletal disorders among hospital emergency nurses of Qom University of Medical Sciences, Iran. Qom Univ Med Sci J 2016; 10(8):54-61.
  27. Abu Tariah H, Nafaic S, Alajmia M, Almutairi F, Alanazi B. Work-related musculoskeletal disorders in nurses working in the Kingdom of Saudi Arabia. Work. 2020; 65(2): 421-428. doi: 10.3233/WOR-203094. PMID: 32007985.
  28. Kjellberg K, Lagerström M, Hagberg M. Work technique of nurses in patient transfer tasks and associations with personal factors. Scand J Work Environ Health. 2003; 29(6):468-77.  doi: 10.5271/sjweh.755.   PMID: 14712855.
  29. Halvani G, Fallah H, Hokmabadi R, Smaeili S, Dabiri R, Sanei B, et al. Ergonomic assessment of work related musculoskeletal disorders risk in furnace brickyard workers in Yazd. Journal of North Khorasan University of Medical Sciences. 2014; 6(3):543-50.
  30. 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. JRUMS. 2014; 12(12):991-1002.
  31. Mokarami H, Kalteh HO, Varmazyar S, Poursdaeghiyan M, Marioryad H. The effect of work-related and socio-demographic factors on Work Ability Index (WAI) among Iranian workers. Work 2019;65(1): 137-143. doi: 10.3233/WOR-193066. PMID: 31868720.
  32. Shojaedin Ss, Hadadnezhad M. Relationship between Functional Movement Screen (FMS) Score and the History of Injury and Identify the Predictive Value of the FMS. JRRS 2013; 9(3):459-69. doi: 10.22122/JRRS.V9I3.967.
  33. Waters TR. When is it safe to manually lift a patient? AJN 2007; 107(8):53-8. doi: 10.1097/01.NAJ. 0000282296.18688.b1. PMID: 17667392.
  34. Letafatkar A, Hadadnezhad M, Shojaedin S, Mohamadi E. Relationship between functional movement screening score and history of injury. Int J sports phys ther. 2014;9(1):21-7.
  35. Tee JC, Klingbiel JF, Collins R, Lambert MI, Coopoo Y. Preseason Functional Movement Screen component tests predict severe contact injuries in professional rugby union players. J Strength Cond Res. 2016; 30(11):3194-203. doi: 10.1519/JSC.0000000000001422. PMID: 26982969.
Journal of Health Sciences & Surveillance System
Volume 11, Issue 2
Spring 2023
Pages 317-324

Home

Guide for Authors

Submit Manuscript

Guide for Reviewers

Contact Us

Forms