Ankle biomechanics of the three-step layup in a basketball player with chronic ankle instability
Luyu Wang,
Jiahui Ye,
Xuyang Zhang
Abstract:At present, the effects of chronic ankle instability (CAI) on the biomechanics of the ankle joint in the three-step layup of basketball players are not clear. This work aims to thoroughly investigate the impact of CAI on the biomechanical characteristics of the ankle during the execution of a three-step layup in basketball players. Thirty male basketball players were stratified into distinct groups—namely, a CAI group and a non-CAI group—comprising 15 individuals each, based on the presence or absence of CAI. … Show more
“…Various versions and adaptations of the CAIT are present in the literature [ 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 ]. However, to the best of our knowledge, this scale has rarely been administered in sports [ 31 , 32 , 33 ].…”
Background: The ease of administration of the Cumberland Ankle Instability Tool (CAIT) could represent a methodology for periodically evaluating athletes, preventing ankle instability injuries. This study aimed to achieve three objectives: (a) to evaluate the applicability of the CAIT scale in volleyball; (b) to explore whether ankle instability presents a greater risk in lower-level volleyball categories and whether elite athletes demonstrate an ability to mitigate this risk; and (c) to identify potential predictors of ankle instability. Methods: Eighty female volleyball players participated in this cross-sectional observational study. The CAIT was administered to evaluate the athletes belonging to some teams in Series A, B, and C. Results: The Spearman’s ranks correlation coefficient showed significant correlations between CAIT items. Additionally, the Cronbach’s α showed a high internal consistency. Our results showed a significant difference between athletes who reported pain and those who did not (p < 0.001). The multiple linear regression model analysis showed that pain was a predictor of ankle instability (p < 0.001). Conclusions: Our findings suggest that the CAIT can be used to evaluate ankle stability in volleyball players. This scale could represent a valuable tool for implementing specific intervention programs to prevent ankle injuries in athletes.
“…Various versions and adaptations of the CAIT are present in the literature [ 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 ]. However, to the best of our knowledge, this scale has rarely been administered in sports [ 31 , 32 , 33 ].…”
Background: The ease of administration of the Cumberland Ankle Instability Tool (CAIT) could represent a methodology for periodically evaluating athletes, preventing ankle instability injuries. This study aimed to achieve three objectives: (a) to evaluate the applicability of the CAIT scale in volleyball; (b) to explore whether ankle instability presents a greater risk in lower-level volleyball categories and whether elite athletes demonstrate an ability to mitigate this risk; and (c) to identify potential predictors of ankle instability. Methods: Eighty female volleyball players participated in this cross-sectional observational study. The CAIT was administered to evaluate the athletes belonging to some teams in Series A, B, and C. Results: The Spearman’s ranks correlation coefficient showed significant correlations between CAIT items. Additionally, the Cronbach’s α showed a high internal consistency. Our results showed a significant difference between athletes who reported pain and those who did not (p < 0.001). The multiple linear regression model analysis showed that pain was a predictor of ankle instability (p < 0.001). Conclusions: Our findings suggest that the CAIT can be used to evaluate ankle stability in volleyball players. This scale could represent a valuable tool for implementing specific intervention programs to prevent ankle injuries in athletes.
The aim of this cross-sectional study was to compare acceleration outputs of the parkour-style “tic tac” action with those of the drop jump and the lay-up shot in youth basketball players. A total of 25 participants (17 boys, 13.80 ± 1.30 years of age; and eight girls, 15.00 ± 0.80 years of age) completed three trials of each action while wearing a single inertial motion capture unit with a sampling frequency of 200 Hz, positioned at the lumbar spine. All data were captured in a single session, using the same test order for all participants. Maximum resultant acceleration was calculated from the raw data for each action. Using sex and maturation status as covariates, data were analyzed using a Bayesian one-way repeated-measures analysis of covariance. Results revealed the jump + sex model to be the best fitting (BF10 = 9.22 × 105). Post hoc comparisons revealed that the tic tac produced greater maximal acceleration than the drop jump and the lay-up. These findings provide a biomechanical basis for the potential use of the parkour tic tac as an activity that could be used within the athletic development of youth basketball players.
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