Profesyonel Erkek Basketbol Takımının Sezon İçi Antrenman Yük Profillerinin Belirlenmesi

Abstract

Gunes, S., Determination of In-Season Training Load Profiles of Professional Men's Basketball Team. Hacettepe University Graduate School of Health Sciences, Sports Sciences and Technology Master Thesis, Ankara, 2019. The purpose of this study was to determine and monitor the training load and fatigue values in basketball team players during training and competitions by some objective and subjective training monitoring tools throughout the first half of the 15-week competition period. Eleven professional male basketball players (mean age: 28,36±5,87 years, height: 197,45±8,31 cm, body weight: 91,65±13,68 kg) were voluntarily participated in this study. In order to determine the internal workload of the participants, rating of perceived exertion (s-RPE) scale was completed after each training session and competition, while wellness questionnaire and neuromuscular fatigue test (counter movement jump, CMJ) were applied at the beginning and at the end of each week. In accordance with the longitudinal data structure including the measurements obtained from the 15-week observations of the athletes, Generalized Estimation Equations (GEE) were used to model the wellness and jump height of the basketball players. From the models that include the week, acute:chronic workload ratio (ACWR), monotony and training load main and between effects; only the effect of monotony and ACWR on total wellness scores were statistically significant in the model (χ2= 4,734, p = 0,030; χ2=2,947, p = 0,086, respectively. RMSE=0,436). According to this result; when the monotony increased by 1 unit, total wellness status decreased by 0,114 units and this decrease was found to be statistically significant (p = 0,030). While acute and chronic workload ratio increased by 1 unit, total wellness value increased by 0,05 units (p = 0,086). Only the effect of monotony on the jump height was statistically significant (p = 0,037), but when the RMSE value (32,072) of the related model was examined, it was seen that the predicted performance of this model was not good. As a conclusion, coaches should increase weekly variation in training load and training variation to prevent monotony. Acute/chronic loads that affect players’ well-being should be carefully monitored throughout the season.