Quantification of Training Load and Training Response for Improving Athletic Performance

Campbell, Bill; Bové, Daniel Sabanés; Ward, Patrick; Vargas, Andrés; Dolan, Jeff

doi:10.1519/ssc.0000000000000334

Cited by 24 publications

(21 citation statements)

References 61 publications

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“…[8]. Monitoring the internal load allows one to determine an athlete's physical and psychological responses to the imposed load (i.e., weight lifted, power output, speed, acceleration, elevation), which can be influenced by external factors such as recovery status, sleep quality, muscle soreness, stress, nutrition, and the weather [9,10]. On the other hand, monitoring external load allows creating adaptations to the athlete through variations in intensity and volume [10].…”

Section: Introductionmentioning

confidence: 99%

Variations of Workload Indices Prior to Injuries: A Study in Trail Runners

Matos

Clemente

Silva

et al. 2020

IJERPH

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The purpose of this study was to compare the variations of weekly workload indices of internal and external load measures across the three weeks prior to injury occurrences in trail runners. Twenty-five trail runners (age: 36.23 ± 8.30 years old; body mass: 67.24 ± 5.97 kg; height: 172.12 ± 5.12 cm) were monitored daily for 52 weeks using global positioning systems (GPSs) to determine the total distance covered. Additionally, a rate of perceived exertion (RPE) scale was applied to determine session-RPE (sRPE: RPE multiplied by training time). The accumulated load (AL), acute: chronic workload ratio (ACWR), training monotony (TM), and training strain (TS) indices were calculated weekly for each runner. During the period of analysis, the injury occurrences were recorded. The differences were observed in AL and ACWR for sRPE and training time were significantly greater during the injury week when compared to the previous weeks. Similar evidence was found in TM and TS indices for sRPE, training time, and total distance. Furthermore, no meaningful differences were observed in AL and ACWR for total distance in the weeks prior to injury occurrence. Nevertheless, significant between-subjects variability was found, and this should be carefully considered. For that reason, an individualized analysis of the workload dynamics is recommended, avoiding greater spikes in load by aiming to keep a progressive increment of load without consequences for injury risk.

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Section: Introductionmentioning

confidence: 99%

Variations of Workload Indices Prior to Injuries: A Study in Trail Runners

Matos

Clemente

Silva

et al. 2020

IJERPH

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“…planned training and athletes' RPE, i.e. training response may favor the increase of fitness and minimize deleterious conditions (Campbell et al, 2017;Kellmann et al, 2018;Murphy et al, 2014). Finally, to the best of our knowledge, this is the first article to either 1) investigate the mismatch in planned RPE and that perceived by BV athletes; and 2) verify the influence of these disagreements on neuromuscular performance.…”

Section: Introductionmentioning

confidence: 90%

“…Hence, coaches need to plan training sessions and think about game demands (Doeven, Brink, Frencken, & Lemmink, 2017). Coaches must manage the variables of volume and intensity during all season to improve performance (Campbell, Bove, Ward, Vargas, & Dolan, 2017) and to adequate recovery, monitoring athlete's dose-response to training (Lima, Silva, Afonso, Castro, & Clemente, 2020).…”

Section: Introductionmentioning

confidence: 99%

Do differences between the training load perceived by elite beach volleyball players and that planned by coaches affect neuromuscular function? (¿Las diferencias entre la carga de entrenamiento percibida por los jugadores de voleibol de playa de élite y

Andrade

Simim

Kassiano

et al. 2020

Retos

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Summary. This study aimed to verify the differences between the training load planned by coaches and that perceived by Beach Volleyball (BV) players and observe the effects on athletes’ neuromuscular function. Three female BV players and well-known coaches participated in the research and were accompanied for three training weeks in the preseason phase. Rating of perceived exertion (RPE) was collected through the 0-10 scale during a previous training session. Strength, physical fitness and tactical-technical training have been assessed with coaches and athletes’ responses 30 minutes after the end of the session. RPE Session was calculated by the product between the training duration in minutes and RPE, to estimate Internal Training Load (ITL). Neuromuscular function was assessed through Countermovement Jump (CMJ). To verify differences between coaches and athletes’ responses and vertical jump performance were used either the magnitude of differences and clinical inference. Athletes experienced lower RPE and ITL as planned by coaches in the first week of training. CMJ increased substantially from the first to the third week (with likely differences (93/03/04), standardized difference = 1.60 and 90% confidence intervals = 0.00; 3.21). We suggest that training load planned by coaches similar to that perceived by athletes have a concomitant improvement with neuromuscular performance.Resumen. Este estudio tuvo como objetivo verificar las diferencias entre la carga de entrenamiento planificada por los entrenadores y la percibida por los jugadores de voleibol de playa (VP) y observar los efectos sobre la función neuromuscular de los atletas. Tres jugadoras de VP y entrenadores conocidos participaron en la investigación y fueron acompañadas durante tres semanas de entrenamiento en la fase de pretemporada. El valor nominal del esfuerzo percibido (NEP) se recolectó a través de la escala 0-10 durante una sesión de entrenamiento anterior. La fuerza, la forma física y el entrenamiento táctico-técnico se evaluaron con las respuestas de los entrenadores y atletas 30 minutos después del final de la sesión. El producto calculó la sesión de NEP entre la duración del entrenamiento en minutos y el NEP, para estimar la carga interna de entrenamiento (CIE). La función neuromuscular se evaluó mediante salto contramovimiento (SCM). Para verificar las diferencias entre los entrenadores y las respuestas de los atletas y el rendimiento del salto vertical, se utilizó la magnitud de las diferencias y la inferencia clínica. Los atletas experimentaron menos NEP e CIE que fueron planificados por los entrenadores en la primera semana de entrenamiento. SCM aumentó sustancialmente de la primera a la tercera semana (con diferencias probables (93/03/04), diferencia estandarizada = 1.60 e intervalos de confianza del 90% = 0.00; 3.21). Sugerimos que la carga de entrenamiento planificada por entrenadores similar a la percibida por los atletas tenga una mejora concomitante con el rendimiento neuromuscular.

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“…Technologies can also be utilised to quantify training load, which is useful in assessing fatigue and readiness to train [ 172 , 173 , 174 ]. This occurs via the quantification of both external (e.g., running velocity, duration and intensity, and weightlifting sets, reps and weight) and internal (e.g., heart rate (HR) and heart rate variability (HRV)) loads, along with the determination of environmental aspects that might affect such loads, such as temperature and altitude [ 175 , 176 ].…”

Section: The Use Of Technology In the Personalised Training Procesmentioning

confidence: 99%

The Development of a Personalised Training Framework: Implementation of Emerging Technologies for Performance

Pickering

Kiely

2019

JFMK

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Over the last decade, there has been considerable interest in the individualisation of athlete training, including the use of genetic information, alongside more advanced data capture and analysis techniques. Here, we explore the evidence for, and practical use of, a number of these emerging technologies, including the measurement and quantification of epigenetic changes, microbiome analysis and the use of cell-free DNA, along with data mining and machine learning. In doing so, we develop a theoretical model for the use of these technologies in an elite sport setting, allowing the coach to better answer six key questions: (1) To what training will my athlete best respond? (2) How well is my athlete adapting to training? (3) When should I change the training stimulus (i.e., has the athlete reached their adaptive ceiling for this training modality)? (4) How long will it take for a certain adaptation to occur? (5) How well is my athlete tolerating the current training load? (6) What load can my athlete handle today? Special consideration is given to whether such an individualised training framework will outperform current methods as well as the challenges in implementing this approach.

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Quantification of Training Load and Training Response for Improving Athletic Performance

Cited by 24 publications

References 61 publications

Variations of Workload Indices Prior to Injuries: A Study in Trail Runners

Variations of Workload Indices Prior to Injuries: A Study in Trail Runners

Do differences between the training load perceived by elite beach volleyball players and that planned by coaches affect neuromuscular function? (¿Las diferencias entre la carga de entrenamiento percibida por los jugadores de voleibol de playa de élite y

The Development of a Personalised Training Framework: Implementation of Emerging Technologies for Performance

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