Volume 8, Issue 4 (12-2020)
Jorjani Biomed J 2020, 8(4): 42-53 |
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Ahmadi M A, fakourian A, Kashfi S M, Heydarian M. The Relationship between Temperament, Somatotype and Some Anthropometric Variables and Prevalence of Musculoskeletal Injuries in Military Pilots: A Cross-Sectional Study. Jorjani Biomed J 2020; 8 (4) :42-53
URL: http://goums.ac.ir/jorjanijournal/article-1-775-en.html
URL: http://goums.ac.ir/jorjanijournal/article-1-775-en.html
1- Department of Exercise Physiology, Shahid Chamran University of Ahvaz, Ahvaz, Iran
2- AJA Exercise Physiology Committee, Tehran, Iran , ali.fakourian.spr@iauctb.ac.ir
3- Department of Sport Biomechanics, Islamic Azad University, Tehran, Iran
4- Supreme National Defense University, Tehran, Iran
2- AJA Exercise Physiology Committee, Tehran, Iran , ali.fakourian.spr@iauctb.ac.ir
3- Department of Sport Biomechanics, Islamic Azad University, Tehran, Iran
4- Supreme National Defense University, Tehran, Iran
Abstract: (5035 Views)
Background and Objective: Musculoskeletal disorders are considered the primary health problem among military pilots. Thus, the aim of this study was to investigate the relationship between temperament, Somatotype and some anthropometric variables and prevalence of musculoskeletal injuries in military pilots.
Material and Methods: In this cross-sectional study which was conducted in 2020, in Tehran, 100 military pilots from selected Air Force bases were participated. Prediction of injury was assessed by functional movement screen test. The pilots’ temperaments were determined by the standard natural temperament questionnaire. Somatotype was calculated using the Heath-Carter method. Anthropometric data were also collected. The relationship between variables was evaluated by Pearson correlation coefficient and multiple linear regression and the difference between different temperaments in the values of variables was evaluated by one-way ANOVA (P < 0.05).
Results: The mean age, weight and functional movement screen score of the pilots were 34.36±5.94, 84.68±8.55 and 17.99±1.59, respectively. Between cold and wet temperament (P = 0.01), endomorphic component of somatotype (P = 0.001), weight (P = 0.001), Body mass index (P = 0.001), waist (P = 0.001), hip (P = 0.001), flexed arm (P = 0.004) and calf (P = 0.006) circumference had a significant negative relationship with functional movement screen test score. Functional movement screen test showed a significant positive relationship only with ectomorphic component (P = 0.001). There was no significant difference between different temperaments in functional movement screen test score (P = 0.64). Multiple linear regression showed a significant negative relationship only between functional movement screen test score and endomorphic component (P = 0.01).
Conclusion: According to the results, it can be concluded that cold and wet temperament, weight, body mass index and endomorphic component of somatotype as individual characteristics are important factors that inversely related to functional movement screen test score of military pilots that should be considered.
Material and Methods: In this cross-sectional study which was conducted in 2020, in Tehran, 100 military pilots from selected Air Force bases were participated. Prediction of injury was assessed by functional movement screen test. The pilots’ temperaments were determined by the standard natural temperament questionnaire. Somatotype was calculated using the Heath-Carter method. Anthropometric data were also collected. The relationship between variables was evaluated by Pearson correlation coefficient and multiple linear regression and the difference between different temperaments in the values of variables was evaluated by one-way ANOVA (P < 0.05).
Results: The mean age, weight and functional movement screen score of the pilots were 34.36±5.94, 84.68±8.55 and 17.99±1.59, respectively. Between cold and wet temperament (P = 0.01), endomorphic component of somatotype (P = 0.001), weight (P = 0.001), Body mass index (P = 0.001), waist (P = 0.001), hip (P = 0.001), flexed arm (P = 0.004) and calf (P = 0.006) circumference had a significant negative relationship with functional movement screen test score. Functional movement screen test showed a significant positive relationship only with ectomorphic component (P = 0.001). There was no significant difference between different temperaments in functional movement screen test score (P = 0.64). Multiple linear regression showed a significant negative relationship only between functional movement screen test score and endomorphic component (P = 0.01).
Conclusion: According to the results, it can be concluded that cold and wet temperament, weight, body mass index and endomorphic component of somatotype as individual characteristics are important factors that inversely related to functional movement screen test score of military pilots that should be considered.
Keywords: Temperament [MeSH], Somatotypes [MeSH], Injuries [MeSH], Iran [MeSH], Cross-Sectional Studies [MeSH]
Type of Article: Original article |
Subject:
Health
Received: 2020/10/2 | Accepted: 2020/10/18 | Published: 2020/11/30
Received: 2020/10/2 | Accepted: 2020/10/18 | Published: 2020/11/30
References
1. Soltandoost SM, Alizadeh MH, Shamsoddini A. Effects of Functional Movement Training Program on Functional Movement Screening Scores and Selected Physical Fitness Factors in Active Injury-Prone Military Men. Journal of Military Medicine. 2020;22(4):174-82. [view at publisher] [Google Scholar]
2. Rahmani R., Mehrvarz Sh., Zareei Zavaraki E., Abbaspour A., Maleki H. Military medicine's role in the armed forces and the need to develop specialized education programs in Iran military medicine. Journal of Military Medicine. 2012;13(4):247-52. [Google Scholar]
3. Teyhen DS, Shaffer SW, Butler RJ, Goffar SL, Kiesel KB, Rhon DI, et al. What risk factors are associated with musculoskeletal injury in US Army Rangers? A prospective prognostic study. Clinical Orthopaedics and Related Research®. 2015;473(9):2948-58. [view at publisher] [DOI] [Google Scholar]
4. Rintala H, Häkkinen A, Siitonen S, Kyröläinen H. Relationships between physical fitness, demands of flight duty, and musculoskeletal symptoms among military pilots. Military medicine. 2015;180(12):1233-8. [view at publisher] [DOI] [Google Scholar]
5. Gaona KL. Comparative study of musculoskeletal injuries in transport aircrew. Aviation, space, and environmental medicine. 2010;81(7):688-90. [view at publisher] [DOI] [Google Scholar]
6. Sardar MA, Yousefi M, Mohammadi MR, Sayyah M. Study of the relationship between the prevalence of sports injuries and athlete's temperament from the perspective of Iranian traditional medicine in. Journal of Islamic and Iranian Traditional Medicine. 2016;7(2):201-6. [view at publisher] [Google Scholar]
7. Petersen EJ, Smith KC. Benefits of a musculoskeletal screening examination for initial entry training soldiers. Military medicine. 2007;172(1):92-7. [view at publisher] [DOI] [Google Scholar]
8. Jones BH, Bovee MW, Harris JM, Cowan DN. Intrinsic risk factors for exercise-related injuries among male and female army trainees. The American Journal of Sports Medicine. 1993;21(5):705-10. [view at publisher] [DOI] [Google Scholar]
9. Naseri M, Rezayizade H, Chupani R, Anushiravani M. General overview of iranian traditional medicine. Tehran, Iran: Nashr-e-Shahr; 2009. [Google Scholar]
10. Rahati M, Fathei M, Attarzadeh hoseini R. Investigating the effect of temperament on the indices of muscle damage after acute resistance exercise in non-athletic men. Complementary Medicine Journal. 2018;3(28):2364-73. [Google Scholar]
11. Osborn ZH, Blanton PD, Schwebel DC. Personality and injury risk among professional hockey players. Journal of injury and violence research. 2009;1(1):15-9. [view at publisher] [DOI] [Google Scholar]
12. Javan A, Vahedi S, Khoshraftar Yazdi N. Comparing temperament in persons with shin splints and healthy male and female students at Ferdowsi University. Journal of Islamic and Iranian Traditional Medicine. 2016;7(2):147-53. [view at publisher] [Google Scholar]
13. Kelch AJ, Gulgin HR. Functional Movement Screen Score by Somatotype Category. Clinical Kinesiology: Journal of the American Kinesiotherapy Association. 2017;71(1):1-7. [Google Scholar]
14. Kennedy-Armbruster C, Evans EM, Sexauer L, Peterson J, Wyatt W. Association among functional-movement ability, fatigue, sedentary time, and fitness in 40 years and older active duty military personnel. Military medicine. 2013;178(12):1358-64. [view at publisher] [DOI] [Google Scholar]
15. Neely FG. Intrinsic risk factors for exercise-related lower limb injuries. Sports medicine. 1998;26(4):253-63. [view at publisher] [DOI] [Google Scholar]
16. Mitchell UH, Johnson AW, Vehrs PR, Feland JB, Hilton SC. Performance on the Functional Movement Screen in older active adults. Journal of Sport and Health Science. 2016;5(1):119-25. [view at publisher] [DOI] [Google Scholar]
17. Safari M, Koushkie-Jahromi M, Foroughi Pordanjani A. The relationship between Temperament, BMI and physical fitness factors between Students the Islamic Republic of Iran Army. Nurse and Physician within War. 2019;6(21):18-25. [view at publisher] [Google Scholar]
18. Cook G, Burton L, Hoogenboom B. Pre-participation screening: the use of fundamental movements as an assessment of function-part 1. North American journal of sports physical therapy: NAJSPT. 2006;1(2):62-72. [view at publisher] [Google Scholar]
19. Teyhen DS, Shaffer SW, Lorenson CL, Halfpap JP, Donofry DF, Walker MJ, et al. The functional movement screen: a reliability study. Journal of orthopaedic & sports physical therapy. 2012;42(6):530-40. [view at publisher] [DOI] [Google Scholar]
20. Sánchez Muñoz C, Muros JJ, López Belmonte Ó, Zabala M. Anthropometric characteristics, body composition and somatotype of elite male young runners. International Journal of Environmental Research and Public Health. 2020;17(2):674. [view at publisher] [DOI] [Google Scholar]
21. Carter J, Heath B. Somatotyping: development and applications. Cambridge: Camberidge university press; 1990. [view at publisher] [Google Scholar]
22. Sheikh Roshande HR, Ghadimi F, Alizadeh M. Development and assessment of the reliability and validity of natural and transverse temperament questionnaires. Journal of Islamic and Iranian Traditional Medicine. 2015;6(1):23-42. [view at publisher] [Google Scholar]
23. Perry FT, Koehle MS. Normative Data for the Functional Movement Screen in Middle-Aged Adults. The Journal of Strength & Conditioning Research. 2013;27(2):458-62. [view at publisher] [DOI] [Google Scholar]
24. Koehle MS, Saffer BY, Sinnen NM, MacInnis MJ. Factor structure and internal validity of the functional movement screen in adults. The Journal of Strength & Conditioning Research. 2016;30(2):540-6. [view at publisher] [DOI] [Google Scholar]
25. Fox D, O'Malley E, Blake C. Normative data for the Functional Movement Screen™ in male Gaelic field sports. Physical Therapy in Sport. 2014;15(3):194-9. [view at publisher] [DOI] [Google Scholar]
26. Parvizi MM, Salehi A, Nimroozi M, Hajimonfarednejad M, Amini F, Parvizi Z. The Relationship between Body Mass Index and Temperament, Based on the Knowledge of Traditional Persian Medicine. Iranian journal of medical sciences. 2016;41(3 Suppl):S14. [view at publisher] [Google Scholar]
27. Vahedi A, Zamani M, Mojahedi M, Mozaffarpur S, Saghebi R, Mououdi M. Role of Anthropometric Dimensions of Human Body in Identifying Temperament in Traditional Persian Medicine. Journal of Babol University Of Medical Sciences. 2016;18(7):24-33. [Google Scholar]
28. Berkowitz SM, Feuerstein M, Lopez MS, Peck Jr CA. Occupational back disability in US Army personnel. Military medicine. 1999;164(6):412-8. [view at publisher] [DOI] [Google Scholar]
29. O'Connor FG, Deuster PA, Davis J, Pappas CG, Knapik JJ. Functional movement screening: predicting injuries in officer candidates. Medicine and science in sports and exercise. 2011;43(12):2224-30. [view at publisher] [DOI] [Google Scholar]
30. Motaqi M, Shamsoddini A, Ghanjal A. Risk Factors Associated with Neck Pain in Male Military Personnel: A Case-Control Study. Journal of Military Medicine. 2020;22(9):896-907. [Google Scholar]
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