Fri, Nov 22, 2024
Volume 7, Issue 3 (Autumn 2017)
PTJ 2017, 7(3): 163-174 |
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:
Tabatabaei S M, Daneshmandi H, Norasteh A A, Sharif Nia H. Development of Screening Test Battery for Volleyball Players: A Mixed Method Study. PTJ 2017; 7 (3) :163-174
URL: http://ptj.uswr.ac.ir/article-1-355-en.html
URL: http://ptj.uswr.ac.ir/article-1-355-en.html
1- Department of Sports Injuries and Corrective Exercises, Faculty of Physical Education, University of Guilan, Rasht, Iran.
2- Department of Nursing, School of Nursing and Midwifery- Amol, Mazandaran University of Medical Sciences, Sari, Iran
2- Department of Nursing, School of Nursing and Midwifery- Amol, Mazandaran University of Medical Sciences, Sari, Iran
Abstract: (7705 Views)
Purpose: Design and development of functional movement screening in athletes are one of the important measures taken for reducing the injury in professional sports. Today, functional movement screening aimed at identifying athletes susceptible to injury is designed and implemented based on fundamental functional patterns and the performance of that particular sport. Currently, there are no standard protocols for the screening of volleyball-specific performance movements.
Methods: In this study, 20 volleyball high level experts were selected through purposive sampling method. The study data were collected by semi-structured interviews and field notes in 2017. The interview transcripts were encoded using MAXQDA V. 10 software. To extract categories and subjects, the thematic analysis approach was used. The results of interviews were conducted in a questionnaire to determine the validity and reliability was investigated. Face validity, content validity and construct validity (convergent and divergent validity) of the questionnaire was evaluated, too. The reliability was estimated by a test-retest method of 2 weeks interval using the intraclass correlation coefficient.
Results: In first analysis process, initial codes were extracted and then, 38 (out of the 82 existing potential tests) tests were identified. Finally, after proper examining of the validity and reliability of the tests, 12 tests including deep squat, inline lunge, trunk stability push up, rotary stability, shoulder mobility, triple hop for distance, hexagon, lateral lunge, triple jump for distance, sidearm medicine ball throw, closed kinetic chain upper extremity, and squat jump were identified for inclusion in screening test battery.
Conclusion: Based on the results of the interviews, the interviewees’ choices are more based on the similarity of the tests with the movement patterns and performance capabilities in volleyball and considering the anatomical areas prone to injury. More prospective and follow up studies with various volleyball players are needed to show the capability of these tests to predict injuries.
Methods: In this study, 20 volleyball high level experts were selected through purposive sampling method. The study data were collected by semi-structured interviews and field notes in 2017. The interview transcripts were encoded using MAXQDA V. 10 software. To extract categories and subjects, the thematic analysis approach was used. The results of interviews were conducted in a questionnaire to determine the validity and reliability was investigated. Face validity, content validity and construct validity (convergent and divergent validity) of the questionnaire was evaluated, too. The reliability was estimated by a test-retest method of 2 weeks interval using the intraclass correlation coefficient.
Results: In first analysis process, initial codes were extracted and then, 38 (out of the 82 existing potential tests) tests were identified. Finally, after proper examining of the validity and reliability of the tests, 12 tests including deep squat, inline lunge, trunk stability push up, rotary stability, shoulder mobility, triple hop for distance, hexagon, lateral lunge, triple jump for distance, sidearm medicine ball throw, closed kinetic chain upper extremity, and squat jump were identified for inclusion in screening test battery.
Conclusion: Based on the results of the interviews, the interviewees’ choices are more based on the similarity of the tests with the movement patterns and performance capabilities in volleyball and considering the anatomical areas prone to injury. More prospective and follow up studies with various volleyball players are needed to show the capability of these tests to predict injuries.
Type of Study: Research |
Subject:
Special
Received: 2017/03/15 | Accepted: 2017/07/25 | Published: 2017/10/1
Received: 2017/03/15 | Accepted: 2017/07/25 | Published: 2017/10/1
References
1. Dorrel BS, Long T, Shaffer S, Myer GD. Evaluation of the functional movement screen as an injury prediction tool among active adult populations: A systematic review and meta-analysis. Sports Health. 2015; 7(6):532-7. [DOI:10.1177/1941738115607445] [PMID] [PMCID] [DOI:10.1177/1941738115607445]
2. Junge A, Langevoort G, Pipe A, Peytavin A, Wong F, Mountjoy M, et al. Injuries in team sport tournaments during the 2004 Olympic Games. The American Journal of Sports Medicine. 2006; 34(4):565-76. [DOI:10.1177/0363546505281807] [PMID] [DOI:10.1177/0363546505281807]
3. Schneiders AG, Davidsson Å, Hörman E, Sullivan SJ. Functional movement screenTM normative values in a young, active population. International Journal of Sports Physical Therapy. 2011; 6(2):75-82. [PMID] [PMCID] [PMID] [PMCID]
4. Whatman C, Hing W, Hume P. Physiotherapist agreement when visually rating movement quality during lower extremity functional screening tests. Physical Therapy in Sport. 2012; 13(2):87-96. [DOI:10.1016/j.ptsp.2011.07.001] [DOI:10.1016/j.ptsp.2011.07.001]
5. Mottram S, Comerford M. A new perspective on risk assessment. Physical Therapy in Sport. 2008; 9(1):40-51.[DOI:10.1016/j.ptsp.2007.11.003] [PMID] [DOI:10.1016/j.ptsp.2007.11.003]
6. Carek PJ, Mainous A. The preparticipation physical examination for athletics: A systematic review of current recommendations. BMJ. 2003; 327(7418):E170-3.
7. Dallinga JM, Benjaminse A, Lemmink KA. Which screening tools can predict injury to the lower extremities in team sports?. Sports Medicine. 2012; 42(9):791-815. [DOI:10.1007/BF03262295] [PMID] [DOI:10.1007/BF03262295]
8. Morehead EK. Development of a functional movement screening tool for football [PhD dissertation]. Preston: University of Central Lancashire; 2014.
9. Sleeper MD, Kenyon LK, Casey E. Measuring fitness in female gymnasts: The gymnastics functional measurement tool. International Journal of Sports Physical Therapy. 2012; 7(2):124-33. [PMID] [PMCID] [PMID] [PMCID]
10. Gabbe BJ, Finch CF, Wajswelner H, Bennell KL. Predictors of lower extremity injuries at the community level of Australian football. Clinical Journal of Sport Medicine. 2004; 14(2):56-63. [DOI:10.1097/00042752-200403000-00002] [PMID] [DOI:10.1097/00042752-200403000-00002]
11. Steinberg N, Hershkovitz I, Peleg S, Dar G, Masharawi Y, Heim M, et al. Range of joint movement in female dancers and nondancers aged 8 to 16 years: anatomical and clinical implications. The American Journal of Sports Medicine. 2006; 34(5):814-23. [DOI:10.1177/0363546505281805] [PMID] [DOI:10.1177/0363546505281805]
12. Bere T, Kruczynski J, Veintimilla N, Hamu Y, Bahr R. Injury risk is low among world-class volleyball players: 4-year data from the FIVB Injury Surveillance System. British Journal of Sports Medicine. 2015; 49(17):1132-7. [DOI:10.1136/bjsports-2015-094959] [DOI:10.1136/bjsports-2015-094959]
13. Augustsson SR, Augustsson J, Thomee R, Svantesson U. Injuries and preventive actions in elite Swedish volleyball. Scandinavian Journal of Medicine & Science in Sports. 2006; 16(6):433-40. [DOI:10.1111/j.1600-0838.2005.00517.x] [PMID] [DOI:10.1111/j.1600-0838.2005.00517.x]
14. Cook G, Burton L, Hoogenboom BJ, Voight M. Functional movement screening: The use of fundamental movements as an assessment of function-part 1. International Journal of Sports Physical Therapy. 2014; 9(3):396-409. [PMID] [PMCID] [PMID] [PMCID]
15. Bishop C. Movement screening: An integrated approach to assessing movement quality. In: Turner A, Comfort P, editor. Advanced Strength and Conditioning: An Evidence-based Approach. Abingdon: Routledge; 2017.
16. Parchmann CJ, McBride JM. Relationship between functional movement screen and athletic performance. The Journal of Strength & Conditioning Research. 2011; 25(12):3378-84. [DOI:10.1519/JSC.0b013e318238e916] [PMID] [DOI:10.1519/JSC.0b013e318238e916]
17. Rosch D, Hodgson R, Peterson L, Graf-Baumann T, Junge A, Chomiak J, et al. Assessment and evaluation of football performance. The American Journal of Sports Medicine. 2000; 28(5_suppl):29-39. [DOI:10.1177/28.suppl_5.s-29] [DOI:10.1177/28.suppl_5.s-29]
18. Bisseling RW, Hof AL, Bredeweg SW, Zwerver J, Mulder T. Are the takeoff and landing phase dynamics of the volleyball spike jump related to patellar tendinopathy?. British Journal of Sports Medicine. 2008; 42:483-9. [DOI:10.1136/bjsm.2007.044057] [PMID] [DOI:10.1136/bjsm.2007.044057]
19. Parenteau-G E, Gaudreault N, Chambers S, Boisvert C, Grenier A, Gagné G, et al. Functional movement screen test: A reliable screening test for young elite ice hockey players. Physical Therapy in Sport. 2014; 15(3):169-75. [DOI:10.1016/j.ptsp.2013.10.001] [PMID] [DOI:10.1016/j.ptsp.2013.10.001]
20. Gulgin H, Hoogenboom B. The Functional Movement Screening (FMS)™: An inter-rater reliability study between raters of varied experience. International Journal of Sports Physical Therapy. 2014; 9(1):14-20. [PMID] [PMCID] [PMID] [PMCID]
21. Shultz R, Anderson SC, Matheson GO, Marcello B, Besier T. Test-retest and interrater reliability of the functional movement screen. Journal of Athletic Training. 2013; 48(3):331-6. [DOI:10.4085/1062-6050-48.2.11] [PMID] [PMCID] [DOI:10.4085/1062-6050-48.2.11]
22. Corbin J, Strauss A, Strauss AL. Basics of qualitative research. Thousand Oaks, California: Sage; 2014.
23. Mohammadbeigi A, Mohammadsalehi N, Aligol M. [Validity and reliability of the instruments and types of measurments in health applied researches (Persian)]. Journal of Rafsanjan University of Medical Sciences. 2015; 13(12):1153-70.
24. Dempsey PA, Dempsey AD. Using nursing research: Process, critical evaluation, and utilization. Philadelphia: Lippincott Williams & Wilkins; 2000.
25. Meyers LS, Gamst G, Guarino AJ. Applied multivariate research: Design and interpretation. Thousand Oaks, California: Sage; 2016.
26. Jaccard J, Wan CK, Jaccard J. LISREL approaches to interaction effects in multiple regression. Thousand Oaks, California: Sage; 1996. [DOI:10.4135/9781412984782]
27. Munro BH. Statistical methods for health care research. Philadelphia: Lippincott Williams & Wilkins; 2005.
28. Schreiber JB, Nora A, Stage FK, Barlow EA, King J. Reporting structural equation modeling and confirmatory factor analysis results: A review. The Journal of Educational Research. 2006; 99(6):323-38.[DOI:10.3200/JOER.99.6.323-338] [DOI:10.3200/JOER.99.6.323-338]
29. Esposito Vinzi V, Chin WW, Henseler J, Wang H. Handbook of partial least squares: Concepts, methods and applications. Berlin: Springer; 2010. [DOI:10.1007/978-3-540-32827-8] [DOI:10.1007/978-3-540-32827-8]
30. Hooper D, Coughlan J, Mullen M. Structural equation modelling: Guidelines for determining model fit. Electronic Journal on Business Research Methods. 2007; 6(1):53-60.
31. Lawshe CH. A quantitative approach to content validity 1. Personnel Psychology. 1975; 28(4):563-75. [DOI:10.1111/j.1744-6570.1975.tb01393.x] [DOI:10.1111/j.1744-6570.1975.tb01393.x]
32. Frohm A, Heijne A, Kowalski J, Svensson P, Myklebust G. A nine-test screening battery for athletes: A reliability study. Scandinavian Journal of Medicine & Science in Sports. 2012; 22(3):306-15. [DOI:10.1111/j.1600-0838.2010.01267.x] [PMID] [DOI:10.1111/j.1600-0838.2010.01267.x]
33. 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. [DOI:10.1519/JSC.0000000000001092] [PMID] [DOI:10.1519/JSC.0000000000001092]
34. Verhagen EA, Van der Beek AJ, Bouter LM, Bahr RM, Van Mechelen W. A one season prospective cohort study of volleyball injuries. British Journal of Sports Medicine. 2004; 38(4):477-81. [DOI:10.1136/bjsm.2003.005785] [PMID] [PMCID] [DOI:10.1136/bjsm.2003.005785]
35. Reeser JC, Verhagen EA, Briner WW, Askeland TI, Bahr R. Strategies for the prevention of volleyball related injuries. British Journal of Sports Medicine. 2006; 40(7):594-600. [DOI:10.1136/bjsm.2005.018234] [PMID] [PMCID] [DOI:10.1136/bjsm.2005.018234]
36. Sprague PA, Mokha GM, Gatens DR, Rodriguez Jr R. The relationship between glenohumeral joint total rotational range of motion and the functional movement screen™ shoulder mobility test. International Journal of Sports Physical Therapy. 2014; 9(5):657-64. [PMID] [PMCID] [PMID] [PMCID]
37. Vieira RX, Pechorro P, Diniz A. T08-P-10 validation of Index of Sexual Satisfaction (ISS) for use with Portuguese women. Sexologies. 2008; 17(1):S115. [DOI:10.1016/S1158-1360(08)72833-0] [DOI:10.1016/S1158-1360(08)72833-0]
38. Brouwers A, Tomic W, Stijnen S. A confirmatory factor analysis of scores on the teacher efficacy scale. Swiss Journal of Psychology. 2002; 61(4):211-9. [DOI:10.1024/1421-0185.61.4.211] [DOI:10.1024/1421-0185.61.4.211]
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC-By-NC), which permits use, distribution, and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Contact Information
