The athlete monitoring cycle: a practical guide to interpreting and applying training monitoring data

Gabbett, Tim J.; Nassis, George P.; Oetter, Eric; Pretorius, Johan; Johnston, Nick; Medina, Daniel; Rodas, Gil; Myslinski, Tom; Howells, Dan; Beard, Adam; Ryan, Allan J.

doi:10.1136/bjsports-2016-097298

Cited by 209 publications

(191 citation statements)

References 10 publications

(8 reference statements)

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“…In recent years, the focus on training monitoring of athletes has exponentially increased [39]. Within youth sport populations, research [14][15][16] has highlighted the importance of developing healthy, capable and resilient youth athletes, which promotes positive outcomes (e.g.…”

Section: Training Exposurementioning

confidence: 99%

Applied Sport Science for Male Age-Grade Rugby Union in England

et al. 2020

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Rugby union (RU) is a skill-collision team sport played at junior and senior levels worldwide. Within England, agegrade rugby governs the participation and talent development of youth players. The RU player development pathway has recently been questioned, regarding player performance and well-being, which sport science research can address. The purpose of this review was to summarise and critically appraise the literature in relation to the applied sport science of male age-grade RU players in England focussing upon (1) match-play characteristics, (2) training exposures, (3) physical qualities, (4) fatigue and recovery, (5) nutrition, (6) psychological challenges and development, and (7) injury. Current research evidence suggests that age, playing level and position influence the match-play characteristics of age-grade RU. Training exposures of players are described as 'organised chaos' due to the multiple environments and stakeholders involved in coordinating training schedules. Fatigue is apparent up to 72 h post match-play. Well-developed physical qualities are important for player development and injury risk reduction. The nutritional requirements are high due to the energetic costs of collisions. Concerns around the psychological characteristics have also been identified (e.g. perfectionism). Injury risk is an important consideration with prevention strategies available. This review highlights the important multi-disciplinary aspects of sport science for developing age-grade RU players for continued participation and player development. The review describes where some current practices may not be optimal, provides a framework to assist practitioners to effectively prepare age-grade players for the holistic demands of youth RU and considers areas for future research. Key PointsAge, playing level and position influence the matchplay characteristics and training exposure of agegrade RU players within England. Coaches and administrators should understand the complexity of match-play and training within age-grade RU and carefully plan and schedule competition and training to optimise long-term player development and participation within the sport. A broad range of physical qualities including body size, speed, change of direction speed, high-intensity running ability and muscular strength and power are important for player development alongside injury prevention and should be strongly considered within the programmes of age-grade RU players. The consideration of training exposure, fatigue and recovery, physical development, nutrition, psychological development and injury management are key topics that inform coach and key stakeholders education for maximising participation and long-term player development of age-grade RU players.

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Section: Training Exposurementioning

confidence: 99%

Applied Sport Science for Male Age-Grade Rugby Union in England

et al. 2020

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“…Our purpose for investigating workload–injury relationships in these studies was to identify workloads that practitioners could use (along with other information) to make informed decisions in regards to when injury risk may be increased or decreased—it was not our intention to imply that one variable could predict injury with crystal ball-like accuracy. We discussed at length that other variables will undoubtedly also have associations with injury,1 2 and that good athlete monitoring involves consideration of factors in addition to workload 5. However, we feel that these views may have been dismissed and, consequently, our purpose here is to provide novel perspectives and some clarity and context on the practical applications of the acute:chronic workload ratio.…”

Section: Let’s Get Something Straightmentioning

confidence: 98%

Indeed association does not equal prediction: the never-ending search for the perfect acute:chronic workload ratio

Hulin¹,

Gabbett

2018

Br J Sports Med

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“…Both technologies provide a monitoring for the internal (impact of the work on physiological responses) and external load (physical work) of surf athletes in both training and competitive scenarios (Bourdon et al, 2017). Using this type of instrument, the physiological and physical effects of surfing process allow to adjust the training plans and to achieve better conditions for adaptation (Farley et al, 2017;Gabbett et al, 2017). During competitive conditions, internal load (IL) analysis allows to identify that 60% of the surfing time is spent in moderate intensity (54 to 76% HRmax), 19% in light intensity (above 46% HRmax) and only 3% of time is spent above 83% of HRmax (O. .…”

Section: Introductionmentioning

confidence: 99%

Monitoring physical performance and training load in young surf athletes

Silva

Cruz²,

Rocha-Rodrigues

et al. 2020

jhse

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We aimed to study physical performance and monitor training load (both internal and external) during 12 weeks (3 times per week) and analyse the hypothetical association between physical performance and training load of competitive junior surfers. Twelve competitive surfers voluntarily participated (aged 16.00±1.00y) and completed anthropometric and 8 physical performance tests including weight-bearing dorsiflexion test, functional movement screen, star excursion balance test, squat jump and countermovement jump, sprint & endurance paddling, and breathhold capacity. Moreover, athletes were monitored by using a heart rate (HR) sensor and global position system (GPS) during each training session (n=36). For internal load (IL), HR, rating of perceived exertion RPE, duration*RPE were used as variables and for external load (EL), duration, total distance, average and maximum speed and pace were considered for analysis. No significant correlations were found between physical performance tests and the training load variables. Significant correlations were found between IL (time*RPE), total distance (r=.58, p<.01), maximum speed (r=.43, p=.04) and duration (r=.60, p<.01). The HR was positively associated with average speed (r=.45, p=.04), pace (r=.43, p=.04), maximum speed (r=.64, p<.01). Total distance, average HR and average speed significantly predicted IL during training F(4.18) =3.17; p =.04; R2 =.48. Data suggests that subjective instruments like RPE seems to be a good instrument to assess the training load in surf training. In terms of training for surfing, maximum speed seems to be a determinant factor in the estimation of IL perception.

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The athlete monitoring cycle: a practical guide to interpreting and applying training monitoring data

Cited by 209 publications

References 10 publications

Applied Sport Science for Male Age-Grade Rugby Union in England

Applied Sport Science for Male Age-Grade Rugby Union in England

Indeed association does not equal prediction: the never-ending search for the perfect acute:chronic workload ratio

Monitoring physical performance and training load in young surf athletes

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