A 30-Min Rest Protocol Does Not Affect W′, Critical Power, and Systemic Response

Triska, Christoph; Hopker, James G.; Wessner, Barbara; Reif, Astrid; Tschan, Harald; Karsten, Bettina

doi:10.1249/mss.0000000000002477

Cited by 12 publications

(9 citation statements)

References 38 publications

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“…CP can be determined using maximal self-paced TT efforts. These have been, when compared to the traditional constant power time-to-exhaustion approach, shown to be valid and reliable (Galbraith et al, 2014;Triska et al, 2017Triska et al, , 2020Karsten et al, 2018). Only a limited number of published studies exist in the scientific literature which examine the relationship between CP derived from different protocols and FTP (MacInnis et al, 2018;Morgan et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Relationship Between the Critical Power Test and a 20-min Functional Threshold Power Test in Cycling

et al. 2021

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To investigate the agreement between critical power (CP) and functional threshold power (FTP), 17 trained cyclists and triathletes (mean ± SD: age 31 ± 9 years, body mass 80 ± 10 kg, maximal aerobic power 350 ± 56 W, peak oxygen consumption 51 ± 10 mL⋅min–1⋅kg–1) performed a maximal incremental ramp test, a single-visit CP test and a 20-min time trial (TT) test in randomized order on three different days. CP was determined using a time-trial (TT) protocol of three durations (12, 7, and 3 min) interspersed by 30 min passive rest. FTP was calculated as 95% of 20-min mean power achieved during the TT. Differences between means were examined using magnitude-based inferences and a paired-samples t-test. Effect sizes are reported as Cohen’s d. Agreement between CP and FTP was assessed using the 95% limits of agreement (LoA) method and Pearson correlation coefficient. There was a 91.7% probability that CP (256 ± 50 W) was higher than FTP (249 ± 44 W). Indeed, CP was significantly higher compared to FTP (P = 0.041) which was associated with a trivial effect size (d = 0.04). The mean bias between CP and FTP was 7 ± 13 W and LoA were −19 to 33 W. Even though strong correlations exist between CP and FTP (r = 0.969; P < 0.001), the chance of meaningful differences in terms of performance (1% smallest worthwhile change), were greater than 90%. With relatively large ranges for LoA between variables, these values generally should not be used interchangeably. Caution should consequently be exercised when choosing between FTP and CP for the purposes of performance analysis.

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Section: Introductionmentioning

confidence: 99%

Relationship Between the Critical Power Test and a 20-min Functional Threshold Power Test in Cycling

et al. 2021

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“…In the case of distance as function of time, even if distance is indeed a dependent variable, error minimization only along the vertical axis (distance variable) is not statistically appropriate and there exists no regression method that can take into account the fact the errors are actually correlated. On the other hand, one could use %SEE and assume that the smallest %SEE provides the best fit quality (Triska et al 2021 ). However, obtaining lower RSE or %SEE are not consistent with the experiment generating the data set but with the representation of the data set itself, as already pointed out by Vinetti et al ( 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Critical speed estimated by statistically appropriate fitting procedures

et al. 2021

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Purpose Intensity domains are recommended when prescribing exercise. The distinction between heavy and severe domains is made by the critical speed (CS), therefore requiring a mathematically accurate estimation of CS. The different model variants (distance versus time, running speed versus time, time versus running speed, and distance versus running speed) are mathematically equivalent. Nevertheless, error minimization along the correct axis is important to estimate CS and the distance that can be run above CS (d′). We hypothesized that comparing statistically appropriate fitting procedures, which minimize the error along the axis corresponding to the properly identified dependent variable, should provide similar estimations of CS and d′ but that different estimations should be obtained when comparing statistically appropriate and inappropriate fitting procedure. Methods Sixteen male runners performed a maximal incremental aerobic test and four exhaustive runs at 90, 100, 110, and 120% of their peak speed on a treadmill. Several fitting procedures (a combination of a two-parameter model variant and regression analysis: weighted least square) were used to estimate CS and d′. Results Systematic biases (P < 0.001) were observed between each pair of fitting procedures for CS and d′, even when comparing two statistically appropriate fitting procedures, though negligible, thus corroborating the hypothesis. Conclusion The differences suggest that a statistically appropriate fitting procedure should be chosen beforehand by the researcher. This is also important for coaches that need to prescribe training sessions to their athletes based on exercise intensity, and their choice should be maintained over the running seasons.

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“…In the present study, it is difficult to attribute a greater "priming" effect to one of the four WUs, because the TTs were self-selected tasks and the participants adopted different pacing strategies. Nevertheless, in a recent study [29], the participants performed 10-, 5-, and 2-min TTs either on the same day (30-min interval between each) or on different days (one TT per day). The results showed no significant differences in the VO 2 response for the first 2 min of each TT between TTs with the same duration, suggesting a non-priming effect of TTs performed on the same day [29].…”

Section: Discussionmentioning

confidence: 99%

“…Nevertheless, in a recent study [29], the participants performed 10-, 5-, and 2-min TTs either on the same day (30-min interval between each) or on different days (one TT per day). The results showed no significant differences in the VO 2 response for the first 2 min of each TT between TTs with the same duration, suggesting a non-priming effect of TTs performed on the same day [29].…”

Section: Discussionmentioning

confidence: 99%

Functional Threshold Power Estimated from a 20-minute Time-trial Test is Warm-up-dependent

2021

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This study investigated the influence of different warm-up protocols on functional threshold power. Twenty-one trained cyclists (˙VO2max=60.2±6.8 ml·kg−1·min−1) performed an incremental test and four 20-min time trials preceded by different warm-up protocols. Two warm-up protocols lasted 45 min, with a 5-min time trial performed either 15 min (Traditional) or 25 min (Reverse) before the 20-min time trial. The other two warm-up protocols lasted 25 min (High Revolutions-per minute) and 10 min (Self-selected), including three fast accelerations and self-selected intensity, respectively. The power outputs achieved during the 20-min time trial preceded by the Traditional and Reverse warm-up protocols were significantly lower than the High Revolutions-per-minute and Self-selected protocols (256±30; 257±30; 270±30; 270±30 W, respectively). Participants chose a conservative pacing strategy at the onset (negative) for the Traditional and Reverse but implemented a fast-start strategy (U-shaped) for the High revolutions-per-minute and Self-selected warm-up protocols. In conclusion, 20-min time-trial performance and pacing are affected by different warm-ups. Consequently, the resultant functional threshold power may be different depending on whether the original protocol with a 5-min time trial is followed or not.

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A 30-Min Rest Protocol Does Not Affect W′, Critical Power, and Systemic Response

Cited by 12 publications

References 38 publications

Relationship Between the Critical Power Test and a 20-min Functional Threshold Power Test in Cycling

Relationship Between the Critical Power Test and a 20-min Functional Threshold Power Test in Cycling

Critical speed estimated by statistically appropriate fitting procedures

Functional Threshold Power Estimated from a 20-minute Time-trial Test is Warm-up-dependent

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