The Relationship Between Workloads, Physical Performance, Injury and Illness in Adolescent Male Football Players

Gabbett, Tim J.; Whyte, Douglas G.; Hartwig, Timothy B.; Wescombe, Holly; Naughton, Géraldine

doi:10.1007/s40279-014-0179-5

Cited by 124 publications

(115 citation statements)

References 67 publications

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“…As such, it is important that each player is treated individually such that training responses are considered in the context of previous, current and future loading. [1][2][3][4] Another consideration for the inconsistency in RPE reporting might be factors associated with team characteristics. Indeed, Gallo et al that RPE load is influenced by position, playing experience and time-trial performance.…”

Section: Discussionmentioning

confidence: 99%

“…Indeed, a growing body of literature shows that the management of training load is effective in reducing the risk to injury [1][2][3] as well as improving athletic performance. 4 A variety of training load monitoring tools can be used to measure the perceived load of an athlete to training. 5 One such popular approach in the sports domain consists of subjectively asking the athlete to rate their perceived exertion (RPE) for a given session.…”

Section: Introductionmentioning

confidence: 99%

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Relationships Between Internal and External Training Load in Team-Sport Athletes: Evidence for an Individualized Approach

Bartlett¹,

O’Connor²,

Pitchford³

et al. 2017

International Journal of Sports Physiology and Performance

145

119

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Purpose The aim of this study was to quantify and predict relationships between RPE and GPS training load variables in professional Australian Football (AF) players using group and individualised modelling approaches. Methods Training load data (GPS and RPE) for 41 professional AF players was obtained over a period of 27 weeks. A total of 2711 training observations were analysed with a total of 66 13 sessions per player (range; 39 to 89).Separate generalised estimating equations (GEE) and artificial neural network analyses (ANN) were conducted to determine the ability to predict RPE from training load variables (i.e. session distance, high-speed running (HSR), high-speed running %, m·min Further, importance plots generated from the ANN revealed session distance was most predictive of RPE in 36 of the 41 players, whereas, HSR was predictive of RPE in just 3 players and m . min -1 as predictive as session distance in just 2 players. Conclusions This study demonstrates that machine learning approaches may outperform more traditional methodologies with respect to predicting athlete responses to training load. These approaches enable further individualisation of load monitoring, leading to more accurate training prescription and evaluation.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Relationships Between Internal and External Training Load in Team-Sport Athletes: Evidence for an Individualized Approach

Bartlett¹,

O’Connor²,

Pitchford³

et al. 2017

International Journal of Sports Physiology and Performance

145

119

View full text Add to dashboard Cite

show abstract

“…Training-related changes have been evident in adolescent athletes after a range of training modalities (e.g., strength, smallsided games, sport-specific training; Ref. 15), and therefore a combination of the processes of growth and maturation alongside training interventions would result in annual improvements in anthropometric and physical characteristics. Although most characteristics improved across time, there was no significant annual change in sum of 4 skinfolds or 10-m or 20-m sprint performance, which is also, consistent with previous research (9,34).…”

Section: Discussionmentioning

confidence: 99%

Longitudinal Development of Anthropometric and Physical Characteristics Within Academy Rugby League Players

Till

Jones

Darrall-Jones

et al. 2015

Journal of Strength and Conditioning Research

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1The purpose of the present study was to evaluate the annual and long-term (i.e., 4 2 year) development of anthropometric and physical characteristics in academy (16-20 years) 3 rugby league players. Players were assessed at the start of pre-season over a six year period 4 and were required to be assessed on consecutive years to be included in the study n=35; n=44; n=35; n=16). A subset of 15 6 players were assessed for long-term changes over 4 years . Anthropometric 7

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“…To provide an overall comparison between elite youth and professional adult soccer players, a more detailed classification focused on the intensity of training is needed. In addition, youth soccer players are clearly not as physically mature as professional adult soccer players, 41 and researchers 5,51 have suggested that increased exposure to training may be linked to higher injury incidences. Hence, observing stress and recovery in youth soccer players may enable the identification of athletes who are at risk for injuries and illnesses.…”

Section: Influence Of Certain Variables On Youth Soccer Playersmentioning

confidence: 99%

Analysis of Injury Incidences in Male Professional Adult and Elite Youth Soccer Players: A Systematic Review

Pfirrmann

Herbst

Ingelfinger³

et al. 2016

Journal of Athletic Training

263

205

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Context: The incidence of injury for elite youth and professional adult soccer players is an important concern, but the risk factors for these groups are different.Objective: To summarize and compare the injury incidences and injury characteristics of male professional adult and elite youth soccer players.Data Sources: We searched MEDLINE and Web of Science using the search terms elite, international, European, soccer, football, injury, injuries, epidemiology, incidence, prevalence, not female, not American football, and not rugby. We also used the search terms professional for studies on professional adult soccer players and high-level, soccer academy, youth, adolescent, and young for studies on elite youth soccer players.Study Selection: Eligible studies were published in English, had a prospective cohort design, and had a minimum study period of 6 months. To ensure that injury data were assessed in relationship to the athlete's individual exposure, we included only studies that reported on injuries and documented exposure volume.Data Extraction: Two independent reviewers applied the selection criteria and assessed the quality of the studies.Data Synthesis: A total of 676 studies were retrieved from the literature search. Eighteen articles met the inclusion criteria: 6 for elite youth and 12 for professional adult soccer players.Conclusions: Injury rates were higher for matches than for training for both youth and adult players. Youth players had a higher incidence of training injuries than professionals. Efforts must be made to reduce the overall injury rate in matches. Therefore, preventive interventions, such as adequately enforcing rules and focusing on fair play, must be analyzed and developed to reduce match-related injury incidences. Reducing training injuries should be a particular focus for youth soccer players.Key Words: risk factors, injury characteristics, muscles Key PointsInjury rates in matches were higher than in training for both elite youth and professional adult soccer players. The incidence of training injuries was higher in elite youth than in professional adult soccer players. The rates of the most common injury types did not differ between groups. Existing studies addressing the quality and intensity of training need to be analyzed more precisely to provide reliable comparisons between these groups. An assessment model of training intensities might protect these players from overload and subsequent injuries.

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The Relationship Between Workloads, Physical Performance, Injury and Illness in Adolescent Male Football Players

Cited by 124 publications

References 67 publications

Relationships Between Internal and External Training Load in Team-Sport Athletes: Evidence for an Individualized Approach

Relationships Between Internal and External Training Load in Team-Sport Athletes: Evidence for an Individualized Approach

Longitudinal Development of Anthropometric and Physical Characteristics Within Academy Rugby League Players

Analysis of Injury Incidences in Male Professional Adult and Elite Youth Soccer Players: A Systematic Review

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