TY - JOUR
T1 - Acceleration Profile of High-Intensity Movements in Basketball Games
AU - Koyama, Takeshi
AU - Rikukawa, Akira
AU - Nagano, Yasuharu
AU - Sasaki, Shogo
AU - Ichikawa, Hiroshi
AU - Hirose, Norikazu
N1 - Funding Information:
The authors would like to thank the coaching staff and players of the men's basketball team of Tokai university for their participation in this study. This study was supported in part by Research and Study Program of Tokai University Educational System General Research Organization. T. Koyama and N. Hirose: Research concept and study design. T. Koyama, A. Rikukawa, Y. Nagano, S. Sasaki and H. Ichikawa: Literature review, data collection, data analysis, and interpretation. T. Koyama and A. Rikukawa: Statistical analyses and writing of the manuscript, T. Koyama, Y. Nagano, S. Sasaki, H. Ichikawa and N. Hirose: Reviewing/editing a draft of the manuscript.
Publisher Copyright:
© 2022 NSCA National Strength and Conditioning Association. All rights reserved.
PY - 2022/6/1
Y1 - 2022/6/1
N2 - Koyama, T, Rikukawa, A, Nagano, Y, Sasaki, S, Ichikawa, H, and Hirose, N. Acceleration profile of high-intensity movements in basketball games. J Strength Cond Res 36(6): 1715-1719, 2022 - This study aimed to elucidate movements that require greater acceleration during basketball games, their occurrence frequency, and compare acceleration components. Eighteen male collegiate basketball players (age: 19.5 ± 0.8 years) were enrolled. Triaxial accelerometer was used to measure acceleration and a synchronized video was recorded. Moments that generated resultant accelerations >4, 6, and 8 G, and their coincided movements were identified. Ratios and frequencies of the extracted movements were calculated and Jonckheere-Terpstra trend test was used to examine which movement rate increased when acceleration threshold increased. In addition, the top 7 movements that generated a resultant acceleration >6 G among the combination of basketball-specific movements were extracted. Their resultant, mediolateral, vertical, and anteroposterior accelerations were identified and compared using one-way analysis of variance. Cohen's d was used to calculate effect sizes. All p < 0.05 were considered statistically significant. The extracted frequencies were 33.6, 9.1, and 2.3 cases per minute for >4 G, >6 G, and >8 G, respectively. As the threshold increased, the rate of deceleration, landing, and physical contact increased. The mediolateral acceleration of physical contact was significantly greater than other movements, whereas the vertical acceleration of landing and deceleration was significantly greater than other movements. Thus, acceleration component analysis was performed to classify movement types. Greater acceleration appeared frequently in movement during defense. It is suggested that many defense movements involve a reaction to the ball and opponent. There are many passive movements during defense and speed changes rapidly. If many passive movements occur when defending, larger physical load is applied, and may lead to fatigue.
AB - Koyama, T, Rikukawa, A, Nagano, Y, Sasaki, S, Ichikawa, H, and Hirose, N. Acceleration profile of high-intensity movements in basketball games. J Strength Cond Res 36(6): 1715-1719, 2022 - This study aimed to elucidate movements that require greater acceleration during basketball games, their occurrence frequency, and compare acceleration components. Eighteen male collegiate basketball players (age: 19.5 ± 0.8 years) were enrolled. Triaxial accelerometer was used to measure acceleration and a synchronized video was recorded. Moments that generated resultant accelerations >4, 6, and 8 G, and their coincided movements were identified. Ratios and frequencies of the extracted movements were calculated and Jonckheere-Terpstra trend test was used to examine which movement rate increased when acceleration threshold increased. In addition, the top 7 movements that generated a resultant acceleration >6 G among the combination of basketball-specific movements were extracted. Their resultant, mediolateral, vertical, and anteroposterior accelerations were identified and compared using one-way analysis of variance. Cohen's d was used to calculate effect sizes. All p < 0.05 were considered statistically significant. The extracted frequencies were 33.6, 9.1, and 2.3 cases per minute for >4 G, >6 G, and >8 G, respectively. As the threshold increased, the rate of deceleration, landing, and physical contact increased. The mediolateral acceleration of physical contact was significantly greater than other movements, whereas the vertical acceleration of landing and deceleration was significantly greater than other movements. Thus, acceleration component analysis was performed to classify movement types. Greater acceleration appeared frequently in movement during defense. It is suggested that many defense movements involve a reaction to the ball and opponent. There are many passive movements during defense and speed changes rapidly. If many passive movements occur when defending, larger physical load is applied, and may lead to fatigue.
KW - accelerometry
KW - biomechanics
KW - deceleration
KW - fatigue
KW - physical load
KW - wearable sensor
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U2 - 10.1519/JSC.0000000000003699
DO - 10.1519/JSC.0000000000003699
M3 - Article
AN - SCOPUS:85131319343
SN - 1064-8011
VL - 36
SP - 1715
EP - 1719
JO - Journal of Strength and Conditioning Research
JF - Journal of Strength and Conditioning Research
IS - 6
ER -