Movement characteristics, physiological and perceptual responses of elite standard youth football players to different high intensity running drills

Gibson, Neil; Henning, Greig; Twist, Craig

doi:10.1080/24733938.2018.1461235

Cited by 3 publications

(6 citation statements)

References 34 publications

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“…The dependency of predicted maturity offset upon CA and body size at prediction merits attention. Means for predicted maturity offset are plotted relative to means for CA and height in the present study and in samples of male soccer players extracted from the literature [13,38,43,46,[51][52][53][54][55][56][57][58][59][60][61][62][63][64][65][66][67][68][69] are illustrated in Figs 3 and 4. The means plotted in the figures were limited to studies using the Mirwald equation, as it was more widely used in studies of soccer players.…”

Section: Plos Onementioning

confidence: 99%

Observed and predicted ages at peak height velocity in soccer players

et al. 2021

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The purpose of the study was to evaluate predicted maturity offset (time before age at PHV) and age at PHV (chronological age [CA] minus maturity offset) in a longitudinal sample of 58 under-13 club level soccer players in central Portugal for whom ages at PHV were estimated with the SITAR model. Two maturity offset prediction equations were applied: the original equation which requires CA sitting height, estimated leg length, height and weight, and a modified equation which requires CA and height. Predicted maturity offset increased, on average, with CA at prediction throughout the age range considered, while variation in predicted maturity offset and ages at PHV within CA groups was considerably reduced compared to variation in observed ages at offset and at PHV. Predicted maturity offset and ages at PHV were consistently later than observed maturity offset and age at PHV among early maturing players, and earlier than observed in late maturing players. Both predicted offset and ages at PHV with the two equations were, on average, later than observed among players maturing on time. Intra-individual variation in predicted ages at PHV with each equation was considerable. The results for soccer players were consistent with similar studies in the general population and two recent longitudinal studies of soccer players. The results question the utility of predicted maturity offset and age at PHV as valid indicators of maturity timing and status.

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Section: Plos Onementioning

confidence: 99%

Observed and predicted ages at peak height velocity in soccer players

et al. 2021

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“…Rating of perceived exertion has been shown to relate to external load (16) and, as such, the observed variability in PlayerLoad collected at 6 minutes may explain why RPE was not reliable in this study. Indeed, previous research has questioned the ability of RPE to detect changes in the intensity of exercise among young soccer players during submaximal shuttle running similar to that used in this study (17).…”

Section: Discussionmentioning

confidence: 99%

“…The assessment of soccer-specific endurance capacity among players, however, should not be limited to objective measures; the use of subjective responses may provide useful information regarding the perception of the athletes to perform exercise of a high-intensity nature. Rating of perceived exertion is commonly used among soccer players at a range of ages and competitive levels (1,17). It has been shown to correlate with objective markers of external training load, is reliable, and relatively easy to collect (15,22).…”

Section: Introductionmentioning

confidence: 99%

“…PlayerLoad-derived from 3-dimensional measures of the instantaneous rate of change of acceleration-has been shown to be a reliable metric (3,6) during high-intensity intermittent running and is used to quantify external load during intermittent running of different intensities amongst young soccer players (17). Variations in Player-Load in response to a standardized protocol have been suggested to be indicative of altered movement strategies or compromised movement efficiency within soccer players, possibly as a result of fatigue (3).…”

Section: Introductionmentioning

confidence: 99%

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Reliability and Validity of a 6-Minute Yo-Yo Intermittent Endurance Test Level 2 in Subelite Part Time Male Soccer Players

Gibson

Easton

Williams³

et al. 2020

Journal of Strength and Conditioning Research

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Gibson, N, Easton, C, Williams, M, McCunn, R, Gibson, NV. Reliability and validity of a 6-minute Yo-Yo Intermittent Endurance Test Level 2 in subelite part time male soccer players. J Strength Cond Res 36(4): 1011–1018, 2022—The aim of this study was to assess the reliability and relationship to maximal intermittent running performance of the 6-minute Yo-Yo Intermittent Endurance Test Level 2 (YYIET2), among subelite part time soccer players. Twenty male soccer players (15–22 years) completed three 6-minute YYIET2 trials with heart rate (HR), PlayerLoad, and rating of perceived exertion assessed during the protocol and HR and blood lactate assessed during 5 minutes of recovery. Subjects also completed a maximal version of the YYIET2 and the maximal Yo-Yo Intermittent Recovery Test Level 1 (YYIRT1) and 2 (YYIRT2). Heart rate at 4 and 6 minutes, PlayerLoad at 4 minutes, and HR recovery at 2, 3, 4, and 5 minutes during recovery from the 6-minute YYIET2 demonstrated little variance between tests. Correlations between variables measured during and after the 6-minute YYIET2 and distance covered in maximal tests ranged from r = 0.02 to −0.72. The 6-minute YYIET2 provides practitioners with a method of reliably assessing HR responses within subelite part time soccer players, although large correlations with maximal assessments suggest it can be used as a proxy measure for maximal intermittent running performance. Given its ease of administration and low time cost, the 6-minute YYIET2 offers practitioners a useful means of tracking training status and movement efficiency in players longitudinally.

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“…The values are weighted using a nonlinear function, based on an assumed nonlinear relationship between impact magnitude and the consequences of that impact within the body; for example, this assumes that a peak acceleration of 4 g is associated with more than twice the consequences of a 2 g peak acceleration. Instantaneous values are summed to provide Dynamic Stress Load (DSL) over defined time periods (78,83) 22 ) for peak values in sport-specific movements. In summary, raw signal data from upper back-mounted GNSS units are generally less valid than filtered signal data for estimating trunk accelerations when assessed against 3D motion capture (Table 2) (89,135).…”

Section: Validity Of Upper Back-mounted Global Navigation Satellite S...mentioning

confidence: 99%

A Review of the Validity and Reliability of Accelerometer-Based Metrics From Upper Back–Mounted GNSS Player Tracking Systems for Athlete Training Load Monitoring

Dawson,

Beato,

Devereux

et al. 2024

Journal of Strength &Amp; Conditioning Research

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Dawson, L, Beato, M, Devereux, G, and McErlain-Naylor, SA. A review of the validity and reliability of accelerometer-based metrics from upper back–mounted GNSS player tracking systems for athlete training load monitoring. J Strength Cond Res 38(8): e460–e475, 2024—Athlete load monitoring using upper back–mounted global navigation satellite system (GNSS) player tracking is common within many team sports. However, accelerometer-based load monitoring may provide information that cannot be achieved with GNSS alone. This review focuses on the accelerometer-based metrics quantifying the accumulation of accelerations as an estimation of athlete training load, appraising the validity and reliability of accelerometer use in upper back–mounted GNSS player tracking systems, the accelerometer-based metrics, and their potential for application within athlete monitoring. Reliability of GNSS-housed accelerometers and accelerometer-based metrics are dependent on the equipment model, signal processing methods, and the activity being monitored. Furthermore, GNSS unit placement on the upper back may be suboptimal for accelerometer-based estimation of mechanical load. Because there are currently no feasible gold standard comparisons for field-based whole-body biomechanical load, the validity of accelerometer-based load metrics has largely been considered in relation to other measures of training load and exercise intensity. In terms of convergent validity, accelerometer-based metrics (e.g., PlayerLoad, Dynamic Stress Load, Body Load) have correlated, albeit with varying magnitudes and certainty, with measures of internal physiological load, exercise intensity, total distance, collisions and impacts, fatigue, and injury risk and incidence. Currently, comparisons of these metrics should not be made between athletes because of mass or technique differences or between manufacturers because of processing variations. Notable areas for further study include the associations between accelerometer-based metrics and other parts of biomechanical load-adaptation pathways of interest, such as internal biomechanical loads or methods of manipulating these metrics through effective training design.

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Movement characteristics, physiological and perceptual responses of elite standard youth football players to different high intensity running drills

Cited by 3 publications

References 34 publications

Observed and predicted ages at peak height velocity in soccer players

Observed and predicted ages at peak height velocity in soccer players

Reliability and Validity of a 6-Minute Yo-Yo Intermittent Endurance Test Level 2 in Subelite Part Time Male Soccer Players

A Review of the Validity and Reliability of Accelerometer-Based Metrics From Upper Back–Mounted GNSS Player Tracking Systems for Athlete Training Load Monitoring

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