Reliability of measurement of active trunk movement in wheelchair basketball players
Autoři:
Jolanta Marszałek aff001; Bartosz Molik aff001
Působiště autorů:
Department of Rehabilitation, Jozef Pilsudski University of Physical Education in Warsaw, Poland
aff001
Vyšlo v časopise:
PLoS ONE 14(11)
Kategorie:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0225515
Souhrn
The study aim was to assess the reliability to active trunk movements measurement in four sitting positions in wheelchair basketball players and to check their trunk movements in these positions. Eighteen volunteer wheelchair basketball athletes, with a minimum of five years’ training experience, were asked to perform the maximum range of active trunk movement in three planes in four sitting positions (in a sports wheelchair with straps, without straps, on a table with feet on the floor, on a table without foot support). The range of movement was measured by the Kinect for Windows V2 sensor twice (with one-week interval). To assess the reliability, different statistical methods were used for each movement: significance of differences between the results (p-value), interclass correlation coefficient (ICC) and minimal detectable change (MDC). The limits of agreement analysis (LOA) were calculated. Differences between trunk movements in four positions were checked by the MANOVA (Wilk’s Lambda and ETA2 were calculated if data were normally distributed). The significance level was set at α < .05. Friedman ANOVA and non-parametric Wilcoxon test with the Bonferroni correction were applied when data were not normally distributed. The significance level after Bonferroni correction was set at α < .013 (α = p/k, where p = .05, k–number of positions = 4). The measurement of active trunk movement in each plane was reliable (p > .05, no differences between the results, “very good”ICC, between .96-.99). In the position with straps, the trunk movement was significantly bigger than in other positions (p < .05), except for the position without straps (p > .05). The Kinect for Windows V2 sensor measured active trunk movement in a reliable manner and it can be recommended as a reliable tool for measuring trunk function. Utilizing straps by wheelchair basketball players increases their trunk movement.
Klíčová slova:
Body limbs – Musculoskeletal system – Normal distribution – Research validity – Shoulders – Skeletal joints – Sports – Wheelchairs
Zdroje
1. Alm M, Gutierrez E, Hultling C, Saraste H. Clinical evaluation of seating in persons with complete thoracic spinal cord injury. Spinal Cord. 2003;41(10):563–71. doi: 10.1038/sj.sc.3101507 14504614
2. Chen C-L, Yeung K-T, Bih L-I, Wang C-H, Chen M-I, Chien J-C. The relationship between sitting stability and functional performance in patients with paraplegia. Arch Phys Med Rehabil. 2003;84:1276–81. doi: 10.1016/s0003-9993(03)00200-4 13680561
3. Curtis KA, Kindlin CM, Reich KM, White DE. Functional Reach in Wheelchair Users: The Effects of Trunk and Lower Extremity Stabilization. Arch Phys Med Rehabil. 1995;76(4):360–7. doi: 10.1016/s0003-9993(95)80662-8 7717837
4. Gagnon D, Nadeau S, Noreau L, Eng JJ, Gravel D. Trunk and upper extremity kinematics during sitting pivot transfers performed by individuals with spinal cord injury. Clin Biomech. 2008;23(3):279–90. doi: 10.1016/j.clinbiomech.2007.09.017 18037198
5. Gagnon DH, Roy A, Gabison S, Duclos C, Verrier MC, Nadeau S. Effects of Seated Postural Stability and Trunk and Upper Extremity Strength on Performance during Manual Wheelchair Propulsion Tests in Individuals with Spinal Cord Injury: An Exploratory Study. Rehabilitation Research and Practice. 2016;2016:6842324. doi: 10.1155/2016/6842324 27635262
6. Gao KL, Chan KM, Purves S, Tsang WWN. Reliability of dynamic sitting balance tests and their correlations with functional mobility for wheelchair users with chronic spinal cord injury. Journal of Orthopaedic Translation. 2015;3(1):44–9. doi: 10.1016/j.jot.2014.07.003 30035039
7. Rodgers MM, Keyser RE, Gardner ER, Russell PJ, Gorman PH. Influence of trunk flexion on biomechanics of wheelchair propulsion. Journal of Rehabilitation Research Development. 2000;37(3):283–95. 10917260
8. Horak FB, Henry SM, Shumway-Cook A. Postural perturbations: new insights for treatment of balance disorders. Phys Ther. 1997;77(5):517–33. doi: 10.1093/ptj/77.5.517 9149762
9. Altmann VC, Groen BE, Groenen KH, Vanlandewijck YC, van Limbeek J, Keijsers NL. Construct Validity of the Trunk Impairment Classification System in Relation to Objective Measures of Trunk Impairment. Arch Phys Med Rehabil. 2016;97(3):437–44. doi: 10.1016/j.apmr.2015.10.096 26551229
10. Altmann VC, Groen BE, van Limbeek J, Vanlandewijck YC, Keijsers NL. Reliability of the revised wheelchair rugby trunk impairment classification system. Spinal Cord. 2013;51(12):913–8. doi: 10.1038/sc.2013.109 24042992
11. Altmann VC, Hart AL, van Limbeek J, Vanlandewijck YC. Improvement of the classification system for wheelchair rugby: athlete priorities. Adapt Phys Activ Q. 2014;31(4):377–89. doi: 10.1123/apaq.2013-0064 25211483
12. Santos PBR, Vigário PS, Mainenti MRM, Ferreira AS, Lemos T. Seated limits-of-stability of athletes with disabilities with regard to competitive levels and sport classification. Scand J Med Sci Sports. 2017;27(12):2019–26. doi: 10.1111/sms.12847 28150870
13. Vanlandewijck YC, Verellen J, Tweedy S. Towards evidence-based classification in wheelchair sports: Impact of seating position on wheelchair acceleration. J Sports Sci. 2011;29(10):1089–96. doi: 10.1080/02640414.2011.576694 21756128
14. Özünlü N, Ergun N. Trunk balance assessment in wheelchair basketball players. Fizyoterapi Rehabilitasyon. 2012;23(1):44–50.
15. Saltan A, Ankarali H. The Role of Trunk Stabilization in Functional-Classification Levels in Wheelchair Basketball. Journal of Sports Rehabilitation. 2017;26(4):287–93. doi: 10.1123/jsr.2016-0054 27632865
16. Santos SD, Krishnan C, Alonso AC, Greve JM. Trunk Function Correlates Positively with Wheelchair Basketball Player Classification. Am J Phys Med Rehabil. 2017;96(2):101–8. doi: 10.1097/PHM.0000000000000548 27323325
17. Vanlandewijck YC, Verellen J, Tweedy SM. Towards evidence-based classification—the impact of impaired trunk strength on wheelchair propulsion. Advances in Rehabilitation. 2010;3(1):1–5. doi: 10.2478/v10029-010-0001-8
18. Yildirim NU, Comert E, Ozengin N. Shoulder pain: a comparison of wheelchair basketball players with trunk control and without trunk control. J Back Musculoskelet Rehabil. 2010;23(2):55–61. doi: 10.3233/BMR-2010-0250 20555117
19. Fung Y, King-Chung Chan D, Caudwell KM, Bik-chu C. Is the wheelchair fencing classification fair enough? A kinematic analysis among world-class wheelchair fencers. European Journal of Adapted Physical Activity. 2013;6(1):17–29.
20. Vanlandewijck YC, Verellen J, Beckman E, Connick M, Tweedy SM. Trunk strength effect on track wheelchair start: implications for classification. Med Sci Sports Exerc. 2011;43(12):2344–51. doi: 10.1249/MSS.0b013e318223af14 21606875
21. Pernot HF, Lannem AM, Geers RP, Ruijters EF, Bloemendal M, Seelen HA. Validity of the test-table-test for Nordic skiing for classification of paralympic sit-ski sports participants. Spinal Cord. 2011;49(8):935–41. doi: 10.1038/sc.2011.30 21537336
22. Rosso V, Gastaldi L, Rapp W, Fasel B, Vanlandewijck YC, Lindinger S, et al. A New Testing Device for the Role of the Trunk in Force Production and in Balance Control in Disabled Sitting Athletes. In: Ferraresi C, Quaglia G, editors. Advances in Service and Industrial Robotics RAAD 2017 Mechanisms and Machine Science. 492018. p. 980–7.
23. Rosso V, Gastaldi L, Rapp W, Lindinger S, Vanlandewijck Y, Ayramo S, et al. Balance Perturbations as a Measurement Tool for Trunk Impairment in Cross-Country Sit Skiing. Adapt Phys Activ Q. 2018;ahead of printing:1–16. doi: 10.1123/apaq.2017-0161 30563347
24. Tweedy SM, Vanlandewijck YC. International Paralympic Committee position stand—background and scientific principles of classification in Paralympic sport. Br J Sports Med. 2009;45(4):259–69. doi: 10.1136/bjsm.2009.065060 19850575
25. Verheyden G, Nuyens G, Nieuwboer A, Van Asch P, Ketelaer P, De Weerdt W. Reliability and validity of trunk assessment for people with multiple sclerosis. Phys Ther. 2006;86(1):66–76. doi: 10.1093/ptj/86.1.66 16386063
26. World Para Nordic Skiing. Classification Rules and Regulations 2017 [cited 2017, 1 December]. Available from: https://www.paralympic.org/sites/default/files/document/170803114654801_World%2BPara%2BNordic%2BSkiing%2BClassification%2BRules%2Band%2BRegulations_0.pdf.
27. Lynch S, Leahy P, Barker S. Reliability of measurements obtained with a modified functional reach test in subjects with spinal cord injury. Phys Ther. 1998;78(2):128–33. doi: 10.1093/ptj/78.2.128 9474105
28. Gauthier C, Gagnon D, Jacquemin G, Duclos C, Masani K, Popovic MR. Which trunk inclination directions best predict multidirectional-seated limits of stability among individuals with spinal cord injury? J Spinal Cord Med. 2012;35(5):343–50. doi: 10.1179/2045772312Y.0000000039 23031171
29. Tweedy SM, Beckman EM, Connick MJ. Paralympic classification: conceptual basis, current methods, and research update. Physical Medicine and Rehabilitation. 2014;6(8 Suppl):S11–7. doi: 10.1016/j.pmrj.2014.04.013 25134747
30. IWBF. Official Player Classification Manual 2014 [cited 2017 1 December]. Available from: http://www.wheelchairbasketball.ca/uploadedFiles/Members/Classifiers/Policies_and_Procedures/CLASSIFICATION%20MANUAL%202014-2018%20ENGLISH%20FINAL.pdf.
31. Bonnechere B, Jansen B, Salvia P, Bouzahouene H, Omelina L, Moiseev F, et al. Validity and reliability of the Kinect within functional assessment activities: comparison with standard stereophotogrammetry. Gait Posture. 2014;39(1):593–8. doi: 10.1016/j.gaitpost.2013.09.018 24269523
32. Huber ME, Seitz AL, Leeser M, Sternad D. Validity and reliability of Kinect skeleton for measuring shoulder joint angles: a feasibility study. Physiotherapy. 2015;101(4):389–93. doi: 10.1016/j.physio.2015.02.002 26050135
33. van Diest M, Stegenga J, Wortche HJ, Postema K, Verkerke GJ, Lamoth CJ. Suitability of Kinect for measuring whole body movement patterns during exergaming. J Biomech. 2014;47(12):2925–32. doi: 10.1016/j.jbiomech.2014.07.017 25173920
34. Yeung LF, Cheng KC, Fong CH, Lee WC, Tong KY. Evaluation of the Microsoft Kinect as a clinical assessment tool of body sway. Gait Posture. 2014;40(4):532–8. doi: 10.1016/j.gaitpost.2014.06.012 25047828
35. Kinect. Kinetisense user manual 2014 [cited 2017, 1 December]. Available from: https://kinetisense.com/kinetisense-user-manual-4/.
36. Kinetisense. What is Kinect Motion Capture? 2017 [cited 2019, 29 May]. Available from: https://kinetisense.com/kinect-motion-capture/.
37. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;8(1):307–10.
38. Landis J, Koch G. The measurement of observer agreement for categorical data. Biometrics. Biometrics. 1977;33(1):159–74. 843571
39. Haley SM, Fragala-Pinkham MA. Interpreting Change Scores of Tests and Measures Used in Physical Therapy. Phys Ther. 2006;86:735–43. doi: 10.1093/ptj/86.5.735 16649896
40. Domholdt E. Rehabilitation Research: Principles and Applications. 3rd ed. St Louis, MO: Elsevier Saunders; 2005.
41. Stratford PW. Getting More from the Literature: Estimating the Standard Error of Measurement from Reliability Studies. Physiother Can. 2004;56(01). doi: 10.2310/6640.2004.15377
42. Ries JD, Echternach JL, Nof L, Gagnon Blodgett M. Test-retest reliability and minimal detectable change scores for the timed "up & go" test, the six-minute walk test, and gait speed in people with Alzheimer disease. Phys Ther. 2009;89(6):569–79. doi: 10.2522/ptj.20080258 19389792
43. Tweedy SM, Connick MJ, Beckman EM. Applying Scientific Principles to Enhance Paralympic Classification Now and in the Future: A Research Primer for Rehabilitation Specialists. Phys Med Rehabil Clin N Am. 2018;29(2):313–32. doi: 10.1016/j.pmr.2018.01.010 29627091
44. Molik B, Laskin JJ, Gomez MA, Golbeck AL, Kosmol A, Rekowski W, et al. The international wheelchair basketball federation’s classification system: the participants’ perspective. Kinesiology. 2017;49(1):117–26.
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