Modeling Intermittent Running from a Single-visit Field Test

Galbraith, Andy; Hopker, James G.; Passfield, Louis

doi:10.1055/s-0034-1394465

Cited by 12 publications

(26 citation statements)

References 19 publications

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“…6,7,9]. Modelling the depletion and repletion of D´ could help coaches and practitioners to predict the termination of exercise more accurately [15] whilst also be useful for pacing strategies [37]. Today's technology is furthermore able to estimate depletion and reconstitution of D´ during exercise in real time (e.g.…”

Section: Introductionmentioning

confidence: 99%

Iso-duration Determination of D′ and CS under Laboratory and Field Conditions

et al. 2017

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Whilst Critical Speed (CS) has been successfully translated from the laboratory into the field, this translation is still outstanding for the related maximum running distance (). Using iso-duration exhaustive laboratory and field runs, this study investigated the potential interchangeable use of both parameters, and CS. After an incremental exercise test, 10 male participants (age: 24.9±2.1 yrs; height: 180.8±5.8 cm; body mass: 75.3±8.6 kg; V̇ ˙VO 52.9±3.1 mL∙min∙kg) performed 3 time-to-exhaustion runs on a treadmill followed by 3 exhaustive time-trial runs on a-400 m athletics outdoor track. Field time-trial durations were matched to their respective laboratory time-to-exhaustion runs. and CS were calculated using the inverse-time model (speed=/t+CS). Laboratory and field values of and CS were not significantly different (221±7 m vs. 225±72 m;=0.73 and 3.75±0.36 m∙s vs. 3.77±0.35 m∙s, =0.68), and they were significantly correlated (=0.86 and 0.94). The 95% LoA were ±75.5 m and ±0.24 m∙s for and CS, respectively. Applying iso-durations provides non-significant differences for and CS and a significant correlation between conditions. This novel translation method can consequently be recommended to coaches and practitioners, however a questionable level of agreement indicates to use with caution.

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Section: Introductionmentioning

confidence: 99%

Iso-duration Determination of D′ and CS under Laboratory and Field Conditions

et al. 2017

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“…However, the duration of the respective predictive runs were not matched in the latter study, what has been shown to affect the parameter estimates [ 12 ]. The reason for the high day-to-day variation of W´ is still unclear and questions on whether W´ can be accurately determined using the power-duration relationship, and if the estimated W´ equals ‘physiological’ W´ , remains to be elucidated [ 12 , 26 , 27 ].…”

Section: Introductionmentioning

confidence: 99%

Reliability of the parameters of the power-duration relationship using maximal effort time-trials under laboratory conditions

et al. 2017

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The purpose of this study was to assess the reliability of critical power (CP) and the total amount of work accomplished above CP (W´) across repeated tests using ecologically valid maximal effort time-trials (TT) under laboratory conditions. After an initial incremental exercise test, ten well-trained male triathletes (age: 28.5 ± 4.7 years; body mass: 73.3 ± 7.9 kg; height: 1.80 ± 0.07 m; maximal aerobic power [MAP]: 329 ± 41 W) performed three testing sessions (Familiarization, Test I and Test II) each comprising three TT (12, 7, and 3 min with a passive recovery of 60 min between trials). CP and W´ were determined using a linear regression of power vs. the inverse of time (1/t) (P = W´ ∙ 1/t + CP). A repeated-measures ANOVA was used to detect differences in CP and W´ and reliability was assessed using the intra-class correlation coefficient (ICC) and the coefficient of variation (CoV). CP and W´ values were not significantly different between repeated tests (P = 0.171 and P = 0.078 for CP and W´, respectively). The ICC between Familiarization and Test I was r = 0.86 (CP) and r = 0.58 (W´) and between Tests I and II it was r = 0.94 (CP) and r = 0.95 (W´). The CoV notably decreased from 4.1% to 2.6% and from 25.3% to 8.2% for CP and W´, respectively. Despite the non-significant differences for both parameter estimates between Familiarization, Test I, and Test II, ICC and CoV values improved notably after the familiarization trial. Our novel findings indicate that for both, CP and W´ a familiarization trial increased reliability. It is therefore advisable to familiarize well-trained athletes when determining the power-duration relationship using TT under laboratory conditions.

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“…In contrast, the first author (P.F.S.) has analyzed data from professional cyclists and triathletes and observed τ W′ values slower than those predicted by either Skiba et al 21 or Bartram et al 30 In another study, Galbraith et al 31 attempted to model running by using the mean τ W′ value measured for cycling in the heavy domain, 21 concluding that the W′ BAL-INT model was unable to accurately model intermittent running performance. They were more successful when they fit the equation to the runner's data.…”

Section: The W′ Bal Modelsmentioning

confidence: 97%

“…They were more successful when they fit the equation to the runner's data. 31 At minimum, best practice requires estimating an individualized τ W′ for each athlete, in their specific mode of exercise. 22,23,27,30 The method of calculation of the integral has important implications for model behavior.…”

Section: The W′ Bal Modelsmentioning

confidence: 99%

The W′ Balance Model: Mathematical and Methodological Considerations

Skiba¹,

Clarke²

2021

International Journal of Sports Physiology and Performance

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Since its publication in 2012, the W′ balance model has become an important tool in the scientific armamentarium for understanding and predicting human physiology and performance during high-intensity intermittent exercise. Indeed, publications featuring the model are accumulating, and it has been adapted for popular use both in desktop computer software and on wrist-worn devices. Despite the model’s intuitive appeal, it has achieved mixed results thus far, in part due to a lack of clarity in its basis and calculation. Purpose: This review examines the theoretical basis, assumptions, calculation methods, and the strengths and limitations of the integral and differential forms of the W′ balance model. In particular, the authors emphasize that the formulations are based on distinct assumptions about the depletion and reconstitution of W′ during intermittent exercise; understanding the distinctions between the 2 forms will enable practitioners to correctly implement the models and interpret their results. The authors then discuss foundational issues affecting the validity and utility of the model, followed by evaluating potential modifications and suggesting avenues for further research. Conclusions: The W′ balance model has served as a valuable conceptual and computational tool. Improved versions may better predict performance and further advance the physiology of high-intensity intermittent exercise.

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Modeling Intermittent Running from a Single-visit Field Test

Abstract: Abstract:This study assessed whether the distance-time relationship could be modeled to predict time to exhaustion (TTE) during intermittent running. Thirteen male distance runners (age: 33±14yrs) completed a field test and three interval tests on an outdoor 400m athletics track.

Cited by 12 publications

References 19 publications

Iso-duration Determination of D′ and CS under Laboratory and Field Conditions

Iso-duration Determination of D′ and CS under Laboratory and Field Conditions

Reliability of the parameters of the power-duration relationship using maximal effort time-trials under laboratory conditions

The W′ Balance Model: Mathematical and Methodological Considerations

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