Monitoring training load provides information about the physical demands of the sport in which athletes are competing. Strength and conditioning coaches need to use this information to periodize and make decisions on training to optimize performance and prevent injuries. The following narrative review presents the current state of knowledge on monitoring external and internal loads in basketball. The reviewed articles were classified according to the sample represented, considering 3 groups: elite, subelite, and young basketball players. In addition, we analyzed the recording procedures and methodology used in technological and ecological terms. Articles were classified, considering what was monitored and the context in which it was monitored. These settings included competition, training, and small-sided games. Performance and sports injury variables were also taken into account in our review.
Data related to 141 sessions of 10 semi-professional basketball players were analyzed during the competitive period of the 2018-2019 season using a multivariable model to determine possible associations between internal and external load variables and fatigue. Age, height, weight, sessional rate of perceived exertion (sRPE), summated-heart-rate-zones, heart rate variability, total accelerations and decelerations were the covariates, and post-session countermovement jump loss (10% or higher) the response variable. Based on the results observed, a rise in sRPE and accelerations and decelerations could be associated with increased lower-body neuromuscular fatigue. Observing neuromuscular fatigue was 1,008 times higher with each additional sRPE arbitrary unit (AU). Each additional high-intensity effort also increased the probability of significant levels of neuromuscular fatigue by 1,005 times. Fatigue arising from demanding sporting activities is acknowledged as a relevant inciting event leading to injuries. Thus, the methodology used in this study can be used then to monitor neuromuscular fatigue onset, also enhancing proper individual adaptations to training.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.