RELATIONSHIP BETWEEN METHODOLOGIES FOR LOAD CONTROL IN PROFESSIONAL BASKETBALL

Abstract

The aim of this study was to determine the relationship between different load assessment methods in a professional basketball team. Twelve professional basketball players of the same team were subjected to the same training plan design and were monitored daily with heart rate monitors, GPS tools and perceived exertion scales. Results suggested that there were significant differences in training load between all monitoring methods: RPE (x2=12.4; P=.015), sRPE (x2=21.5; P<.001), TRIMP (x2=23.5; P><.001), SHRZ (x2=19.3; P><.001) and distance (x2=21.7; P><.001). Correlations were found between RPE and heart rate but not between these methods and the distance travelled during sessions: Borg (p=.19; P=.79), sRPE (p=.14; P=.299) and sHR-Z (p=.17; P=.197). These results suggested that different load assessment methods render varying results in a professional basketball team. In this sample, perceived exertion rate was suggested as the best method for assessing training load in professional basketball players.> <.001), TRIMP (x2=23.5; P<.001), SHRZ (x2=19.3; P><.001) and distance (x2=21.7; P><.001). Correlations were found between RPE and heart rate but not between these methods and the distance travelled during sessions: Borg (p=.19; P=.79), sRPE (p=.14; P=.299) and sHR-Z (p=.17; P=.197). These results suggested that different load assessment methods render varying results in a professional basketball team. In this sample, perceived exertion rate was suggested as the best method for assessing training load in professional basketball players> <.001), SHRZ (x2=19.3; P<.001) and distance (x2=21.7; P<.001). Correlations were found between RPE and heart rate but not between these methods and the distance travelled during sessions: Borg (p=.19; P=.79), sRPE (p=.14; P=.299) and sHR-Z (p=.17; P=.197). These results suggested that different load assessment methods render varying results in a professional basketball team. In this sample, perceived exertion rate was suggested as the best method for assessing training load in professional basketball players.> P<.001). Correlations were found between RPE and heart rate but not between these methods and the distance travelled during sessions: Borg (p=.19; P=.79), sRPE (p=.14; P=.299) and sHR-Z (p=.17; P=.197). These results suggested that different load assessment methods render varying results in a professional basketball team. In this sample, perceived exertion rate was suggested as the best method for assessing training load in professional basketball players.