Antonio García-de-Alcaraz1, Rodrigo Ramírez-Campillo2, Miguel Rivera-Rodríguez3, Blanca Romero-Moraleda4. 1. Faculty of Education, University of Almería, Almería, Spain; LFE Research Group, Faculty of Physical Activity and Sport Sciences-INEF. Universidad Politécnica de Madrid, Madrid, Spain. Electronic address: antoniogadealse@gmail.com. 2. Universidad de Los Lagos (University of Los Lagos), Department of Physical Activity Sciences, Research Nucleus in Health, Physical Activity and Sport, Laboratory of Measurement and Assessment in Sport, Osorno, Chile. 3. Teruel Volleyball Club, Teruel, Spain. 4. Department of Physical Education, Sport and Human Movement, Autonomous University of Madrid, Madrid, Spain.
Abstract
OBJECTIVES: The aim of this study was to analyze the jump load performed by top-level volleyball players during an entire training season in terms of the player role, training period, type of daily training, and quality of opposition in the subsequent match. DESIGN: Longitudinal panel observational study. METHODS: The total number of jumps performed by players was recorded through 174 training days distributed in 32 weeks during the 2016/2017 season (pre-season, 5 weeks; in-season, 27 weeks). The players role were classified as middle-blocker, outside-hitter, opposite and setter (the libero was omitted). A generalized mixed linear model was performed (with Bonferroni post hoc test at p<0.05) to assess the effect of training variables and the repeated-measures data of players' jumps along various training days. Additionally, the effect sizes at 95% confidence intervals were calculated to compare the jump load between players' role and training variables. RESULTS: The results showed a significant and moderate higher amount of jumps performed by middle-blockers regardless the type of macro- or micro-cycle, the micro-cycle phase, the type of training and the quality of match opposition. Contrarily, the setter performs the least jump load in all variables analyzed. Only the players' role, macro-cycle and micro-cycle phase had significant effects on the player's jump load variation along the season. CONCLUSIONS: This information could be useful to guide the monitoring and preparation process for coaches and physical trainers. These values allow differentiating between players' role and could be used as references values in order to avoid injuries whereas performance increase along the season.
OBJECTIVES: The aim of this study was to analyze the jump load performed by top-level volleyball players during an entire training season in terms of the player role, training period, type of daily training, and quality of opposition in the subsequent match. DESIGN: Longitudinal panel observational study. METHODS: The total number of jumps performed by players was recorded through 174 training days distributed in 32 weeks during the 2016/2017 season (pre-season, 5 weeks; in-season, 27 weeks). The players role were classified as middle-blocker, outside-hitter, opposite and setter (the libero was omitted). A generalized mixed linear model was performed (with Bonferroni post hoc test at p<0.05) to assess the effect of training variables and the repeated-measures data of players' jumps along various training days. Additionally, the effect sizes at 95% confidence intervals were calculated to compare the jump load between players' role and training variables. RESULTS: The results showed a significant and moderate higher amount of jumps performed by middle-blockers regardless the type of macro- or micro-cycle, the micro-cycle phase, the type of training and the quality of match opposition. Contrarily, the setter performs the least jump load in all variables analyzed. Only the players' role, macro-cycle and micro-cycle phase had significant effects on the player's jump load variation along the season. CONCLUSIONS: This information could be useful to guide the monitoring and preparation process for coaches and physical trainers. These values allow differentiating between players' role and could be used as references values in order to avoid injuries whereas performance increase along the season.
Authors: Rodrigo Ramirez-Campillo; David C Andrade; Pantelis T Nikolaidis; Jason Moran; Filipe Manuel Clemente; Helmi Chaabene; Paul Comfort Journal: J Sports Sci Med Date: 2020-08-13 Impact factor: 2.988
Authors: Valerio Giustino; Giuseppe Messina; Antonino Patti; Elvira Padua; Daniele Zangla; Patrik Drid; Giuseppe Battaglia; Antonio Palma; Antonino Bianco Journal: Int J Environ Res Public Health Date: 2022-03-26 Impact factor: 3.390