Reliability of measurement of active trunk movement in wheelchair basketball players

• Published in: PloS one Vol. 14; no. 11; p. e0225515
• Main Authors: Marszałek, Jolanta, Molik, Bartosz
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 21.11.2019; Public Library of Science (PLoS)
• Subjects: Analysis; Athletes; Athletic Performance; Basketball; Biology and Life Sciences; Biometrics; Change detection; Classification; College basketball; Correlation coefficient; Correlation coefficients; Disability sports; Disabled Persons; Engineering and Technology; Feasibility studies; Feet; Female; Gait; Humans; Male; Mathematical analysis; Medicine and Health Sciences; Movement; Multiple sclerosis; Normal distribution; Physical education; Physical Sciences; Players; Position measurement; Position sensing; Rehabilitation; Reliability analysis; Research and Analysis Methods; Rugby; Sensors; Social Sciences; Spinal cord injuries; Sports injuries; Statistical methods; Straps; Torso - physiology; Validity; Variance analysis; Wheelchair basketball; Wheelchairs; Poland; United States > US
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0225515

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.