Field-Derived Power–Duration Variables to Predict Cycling Time-Trial Performance

Nimmerichter, Alfred; Prinz, Bernhard; Gumpenberger, Matthias; Heider, Sebastian; Wirth, Klaus

doi:10.1123/ijspp.2019-0621

Cited by 7 publications

(20 citation statements)

References 24 publications

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“…Good agreement between CP estimates derived from formal testing and MMP values has been reported (Leo et al 2020 , 2021a ; b ; Nimmerichter et al 2020 ; Quod et al 2010 ). While a good agreement between CP derived from formal testing and racing has been shown, the same cannot be confirmed for W ′.…”

Section: Agreement Between Modelled Power-duration Relationship and Mmp Valuesmentioning

confidence: 82%

“…Unfortunately, this approach (i.e. comparing MMP against a pre-established theoretical power-duration relationship derived from prior formal testing) was only undertaken by a few research groups (Leo et al 2020 ; Leo et al 2021b ; Nimmerichter et al 2020 ; Quod et al 2010 ). However, all research has shown good to very good agreement between power output values from formal testing and MMP values.…”

Section: Methodological Approaches To Power Profilingmentioning

confidence: 99%

“…There is currently no consensus on how best to derive the parameters that are needed to model the power-duration relationship; namely P max , CP and W ′. Likewise, there is considerable debate on which mathematical model should be used to derive CP and W ′ (Maturana et al 2018 ; Muniz-Pumares et al 2019 ; Nimmerichter et al 2020 ).…”

Section: Deriving the Parameters Of Power-duration Modellingmentioning

confidence: 99%

“…Prediction trials shorter than 2 min do not ensure the attainment of O 2max (i.e. they fall outside the severe intensity domain) (Hill and Smith 1994 ; Maturana et al 2018 ; Muniz-Pumares et al 2019 ; Nimmerichter et al 2020 ), while prediction trials longer than 15 min are not recommended due to the influence of glycogen depletion and psychological factors (i.e. motivation) (Karsten et al 2015 ; Maturana et al 2018 ).…”

Section: Deriving the Parameters Of Power-duration Modellingmentioning

confidence: 99%

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Power profiling and the power-duration relationship in cycling: a narrative review

et al. 2021

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Emerging trends in technological innovations, data analysis and practical applications have facilitated the measurement of cycling power output in the field, leading to improvements in training prescription, performance testing and race analysis. This review aimed to critically reflect on power profiling strategies in association with the power-duration relationship in cycling, to provide an updated view for applied researchers and practitioners. The authors elaborate on measuring power output followed by an outline of the methodological approaches to power profiling. Moreover, the deriving a power-duration relationship section presents existing concepts of power-duration models alongside exercise intensity domains. Combining laboratory and field testing discusses how traditional laboratory and field testing can be combined to inform and individualize the power profiling approach. Deriving the parameters of power-duration modelling suggests how these measures can be obtained from laboratory and field testing, including criteria for ensuring a high ecological validity (e.g. rider specialization, race demands). It is recommended that field testing should always be conducted in accordance with pre-established guidelines from the existing literature (e.g. set number of prediction trials, inter-trial recovery, road gradient and data analysis). It is also recommended to avoid single effort prediction trials, such as functional threshold power. Power-duration parameter estimates can be derived from the 2 parameter linear or non-linear critical power model: P(t) = W′/t + CP (W′—work capacity above CP; t—time). Structured field testing should be included to obtain an accurate fingerprint of a cyclist’s power profile.

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Section: Agreement Between Modelled Power-duration Relationship and Mmp Valuesmentioning

confidence: 82%

Section: Methodological Approaches To Power Profilingmentioning

confidence: 99%

Section: Deriving the Parameters Of Power-duration Modellingmentioning

confidence: 99%

Section: Deriving the Parameters Of Power-duration Modellingmentioning

confidence: 99%

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Power profiling and the power-duration relationship in cycling: a narrative review

et al. 2021

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“…In total, 242 participants were involved in the records (199 males, 43 females, mean ± SD: age = 29.1 ± 5.9 years). Ten of the studies included men and women [13][14][15][16][17][18][19][20][21][22], while the rest included only men [8,[23][24][25][26][27][28][29][30][31][32]. The inclusion criteria for participants were defined as trained and experienced athletes.…”

Section: Characteristics Of the Participantsmentioning

confidence: 99%

Determination of Critical Power Using Different Possible Approaches among Endurance Athletes: A Review

Lipková

Kumstát

Struhár

2022

IJERPH

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Critical power represents an important parameter of aerobic function and is the highest average effort that can be sustained for a period of time without fatigue. Critical power is determined mainly in the laboratory. Many different approaches have been applied in testing methods, and it is a difficult task to determine which testing protocol it the most suitable. This review aims to evaluate all possible tests on bicycle ergometers or bicycles used to estimate critical power and to compare them. A literature search was conducted in four databases (PubMed, Scopus, SPORTDiscus, and Web of Science) published from 2012 to 2022 and followed the PRISMA guidelines to process the review. Twenty-one articles met the eligibility criteria: records with trained or experienced endurance athletes (adults > 18), bicycle ergometer, a description of the testing protocol, and comparison of the tests. We found that the most widely used tests were the 3-min all-out tests set in a linear mode and the traditional protocol time to exhaustion. Some other alternatives could have been used but were not as regular. To summarize, the testing methods offered two main approaches in the laboratory (time to exhaustion test andthe 3-min all-out test with different protocols) and approach in the field, which is not yet completely standardized.

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Effects of Flat and Uphill Cycling on the Power-duration Relationship

et al. 2022

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The purpose of this study was to investigate the effects of flat and uphill cycling on critical power and the work available above critical power. Thirteen well-trained endurance athletes performed three prediction trials of 10-, 4- and 1-min in both flat (0.6%) and uphill (9.8%) cycling conditions on two separate days. Critical power and the work available above critical power were estimated using various mathematical models. The best individual fit was used for further statistical analyses. Paired t-tests and Bland-Altman plots with 95% limits of agreement were applied to compare power output and parameter estimates between cycling conditions. Power output during the 10- and 4-min prediction trial and power output at critical power were not significantly affected by test conditions (all at p>0.05), but the limits of agreement between flat and uphill cycling power output and critical power estimates are too large to consider both conditions as equivalent. However, power output during the 1-min prediction trial and the work available above critical power were significantly higher during uphill compared to flat cycling (p<0.05). The results of this investigation indicate that gradient affects cycling time-trial performance, power output at critical power, and the amount of work available above critical power.

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Field-Derived Power–Duration Variables to Predict Cycling Time-Trial Performance

Cited by 7 publications

References 24 publications

Power profiling and the power-duration relationship in cycling: a narrative review

Power profiling and the power-duration relationship in cycling: a narrative review

Determination of Critical Power Using Different Possible Approaches among Endurance Athletes: A Review

Effects of Flat and Uphill Cycling on the Power-duration Relationship

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