Utilization of valid and reliable practical tools is imperative for monitoring the training load imposed on the athlete, and it is a fundamental prerequisite to success. 1 In fact, monitoring the training load contributes to assuring adequate training adaptation prior to competition, reduces
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Analyzing the Seasonal Changes and Relationships in Training Load and Wellness in Elite Volleyball Players
Filipe M. Clemente, Ana F. Silva, Cain C.T. Clark, Daniele Conte, João Ribeiro, Bruno Mendes, and Ricardo Lima
Effects of Presession Well-Being Perception on Internal Training Load in Female Volleyball Players
Alexandru Nicolae Ungureanu, Paolo Riccardo Brustio, Gennaro Boccia, Alberto Rainoldi, and Corrado Lupo
To elicit peak performance in sports, training programs should be carefully developed to produce the desired physiological adaptations. In particular, physical internal training load (ITL) is one of the parameters that is controlled to elicit the desired workout response. As a consequence, ITL can
Internal Training Load Affects Day-After-Pretraining Perceived Fatigue in Female Volleyball Players
Alexandru Nicolae Ungureanu, Corrado Lupo, Gennaro Boccia, and Paolo Riccardo Brustio
Manipulating and monitoring training parameters is fundamental to elicit peak sports performance and to avoid overtraining. 1 Associations between internal and external measures of training load (TL) and intensity are important in understanding the dose–response nature of team-sport training and
Intraindividual Relationships Between Training Loads and Heart-Rate Variability in High-Level Female Futsal Players: A Longitudinal Study
Fábio Y. Nakamura, Júlio A. Costa, Bruno Travassos, Daniel Ortuño, and José Pino-Ortega
Team-sport training can induce multiple adaptations in the athletes, leading to improvement in performance. Physiological and subjective assessments implemented on a daily basis can help coaching staffs to better control training loads and their effects on the different systems (eg
Investigation of the Relationship Between Salivary Cortisol, Training Load, and Subjective Markers of Recovery in Elite Rugby Union Players
Caoimhe Tiernan, Mark Lyons, Tom Comyns, Alan M. Nevill, and Giles Warrington
Elite athletes are under considerable physiological stress due to high levels of training and performance requirements. 1 Increased stress can have negative effects on performance, particularly if there is an imbalance between training load and recovery. 2 Insufficient recovery can lead to a
Relationship Between Pretraining Subjective Wellness Measures, Player Load, and Rating-of-Perceived-Exertion Training Load in American College Football
Andrew D. Govus, Aaron Coutts, Rob Duffield, Andrew Murray, and Hugh Fullagar
Daily monitoring of a player’s internal and external training loads is critical in American college football since a high training load coupled with inadequate recovery can result in injury, illness, or overtraining. 1 One commonly used noninvasive method of monitoring an athlete
Internal-Training-Load Monitoring, Notational and Time-Motion Analyses, Psychometric Status, and Neuromuscular Responses in Elite Rugby Union
Corrado Lupo, Alexandru Nicolae Ungureanu, Gennaro Boccia, Andrea Licciardi, Alberto Rainoldi, and Paolo Riccardo Brustio
Rugby union is an invasive field team sport highly characterized by several technical and tactical factors. 1 , 2 Among these, collision events, such as tackles, can be considered relevant for the players’ training load and their effects on strength performance. Regarding the quantification of
Global Positioning System Watches and Electronic Journals: Are Training-Load Measures Similar in High School Cross-Country Runners?
Micah C. Garcia and David M. Bazett-Jones
Runners and coaches monitor characteristics of running sessions (eg, distance, duration, pace, intensity) to estimate training loads experienced during each running session. Running training programs are designed to gradually progress training loads by manipulating the duration, frequency, and
Influence of Faster and Slower Recovery-Profile Classifications, Self-Reported Sleep, Acute Training Load, and Phase of the Microcycle on Perceived Recovery in Futsal Players
Carolina F. Wilke, Samuel P. Wanner, Weslley H.M. Santos, Eduardo M. Penna, Guilherme P. Ramos, Fabio Y. Nakamura, and Rob Duffield
preseason routine involves 1 to 2 on-court and strength training sessions per day. 11 Accordingly, players’ responses to daily recovery assessments would expectedly be influenced by additional factors not existing in research controlled settings, such as the previous training load, sleep, and existence of
Quantifying Training Loads in Contemporary Dance
Annie C. Jeffries, Lee Wallace, and Aaron J. Coutts
Purpose:
To describe the training demands of contemporary dance and determine the validity of using the session rating of perceived exertion (sRPE) to monitor exercise intensity and training load in this activity. In addition, the authors examined the contribution of training (ie, accelerometry and heart rate) and non-training-related factors (ie, sleep and wellness) to perceived exertion during dance training.
Methods:
Training load and ActiGraphy for 16 elite amateur contemporary dancers were collected during a 49-d period, using heart-rate monitors, accelerometry, and sRPE. Within-individual correlation analysis was used to determine relationships between sRPE and several other measures of training intensity and load. Stepwise multiple regressions were used to determine a predictive equation to estimate sRPE during dance training.
Results:
Average weekly training load was 4283 ± 2442 arbitrary units (AU), monotony 2.13 ± 0.92 AU, strain 10677 ± 9438 AU, and average weekly vector magnitude load 1809,707 ± 1015,402 AU. There were large to very large within-individual correlations between training-load sRPE and various other internal and external measures of intensity and load. The stepwise multiple-regression analysis also revealed that 49.7% of the adjusted variance in training-load sRPE was explained by peak heart rate, metabolic equivalents, soreness, motivation, and sleep quality (y = –4.637 + 13.817%HRpeak + 0.316 METS + 0.100 soreness + 0.116 motivation – 0.204 sleep quality).
Conclusion:
The current findings demonstrate the validity of the sRPE method for quantifying training load in dance, that dancers undertake very high training loads, and a combination of training and nontraining factors contribute to perceived exertion in dance training.
