Training Characteristics and Power Profile of Professional U23 Cyclists throughout a Competitive Season

Leo, Peter; Spragg, James; Simon, Dieter; Lawley, Justin S.; Mujika, Iñigo

doi:10.3390/sports8120167

Cited by 25 publications

(34 citation statements)

References 38 publications

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“…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%

“…Good agreement between CP estimates derived from formal testing and MMP values has been reported (Leo et al 2020(Leo et al , 2021aNimmerichter 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: 96%

“…Power profiling in cycling is most commonly defined as the assessment of field derived power outputs, i.e. values obtained during training and racing (Coggan 2003;Leo et al 2020). Power profiling can be used for the tracking of longitudinal changes in performance and race analysis (Leo et al 2021b).…”

Section: Introductionmentioning

confidence: 99%

“…power output) workloads (van Erp and de Koning 2019 ; Mujika 2017 ; Muriel et al 2021 ; Padilla et al 2000 ; Padilla et al 2008 ). This in turn allows the demands of racing to be described (Ebert et al 2005 , 2006 ; van Erp et al 2021b ; Menaspà et al 2015 ; Menaspà et al 2013 ; Vogt et al 2007b ), training/racing performance analysis to be conducted (Leo et al 2021c ; Lucia et al 2001 ; Mujika and Padilla 2001 ; Pinot and Grappe 2011 ) and training prescription to be quantified (Leo et al 2020 ; Sanders et al 2020 ; Sanders and Heijboer 2019a ).…”

Section: Introductionmentioning

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: Methodological Approaches To Power Profilingmentioning

confidence: 99%

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

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

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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“…Further publications include consideration of strength and power adaptations resulting from block periodization across persons of different training status [10], and training organization in bodybuilders [11]. To conclude, the final contributions to this special issue include a review of tapering and peaking practices for maximal strength adaptations for powerlifting performance [12], the effects of concurrent training and prolonged neuromuscular performance even after cessation of explosive strength training [13], and lastly, power profiling of professional U23 cyclists through periods of a competitive season-notable for the large sample size in this calibre of athlete [14].…”

mentioning

confidence: 99%

Periodization and Programming in Sports

Fisher

Csapo

2021

Sports

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A Perspective on High-Intensity Interval Training for Performance and Health

Coates,

Joyner,

Little

et al. 2023

Sports Med

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Interval training is a simple concept that refers to repeated bouts of relatively hard work interspersed with recovery periods of easier work or rest. The method has been used by high-level athletes for over a century to improve performance in endurance-type sports and events such as middle- and long-distance running. The concept of interval training to improve health, including in a rehabilitative context or when practiced by individuals who are relatively inactive or deconditioned, has also been advanced for decades. An important issue that affects the interpretation and application of interval training is the lack of standardized terminology. This particularly relates to the classification of intensity. There is no common definition of the term “high-intensity interval training” (HIIT) despite its widespread use. We contend that in a performance context, HIIT can be characterized as intermittent exercise bouts performed above the heavy-intensity domain. This categorization of HIIT is primarily encompassed by the severe-intensity domain. It is demarcated by indicators that principally include the critical power or critical speed, or other indices, including the second lactate threshold, maximal lactate steady state, or lactate turnpoint. In a health context, we contend that HIIT can be characterized as intermittent exercise bouts performed above moderate intensity. This categorization of HIIT is primarily encompassed by the classification of vigorous intensity. It is demarcated by various indicators related to perceived exertion, oxygen uptake, or heart rate as defined in authoritative public health and exercise prescription guidelines. A particularly intense variant of HIIT commonly termed “sprint interval training” can be distinguished as repeated bouts performed with near-maximal to “all out” effort. This characterization coincides with the highest intensity classification identified in training zone models or exercise prescription guidelines, including the extreme-intensity domain, anaerobic speed reserve, or near-maximal to maximal intensity classification. HIIT is considered an essential training component for the enhancement of athletic performance, but the optimal intensity distribution and specific HIIT prescription for endurance athletes is unclear. HIIT is also a viable method to improve cardiorespiratory fitness and other health-related indices in people who are insufficiently active, including those with cardiometabolic diseases. Research is needed to clarify responses to different HIIT strategies using robust study designs that employ best practices. We offer a perspective on the topic of HIIT for performance and health, including a conceptual framework that builds on the work of others and outlines how the method can be defined and operationalized within each context.

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Training Characteristics and Power Profile of Professional U23 Cyclists throughout a Competitive Season

Cited by 25 publications

References 38 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

Periodization and Programming in Sports

A Perspective on High-Intensity Interval Training for Performance and Health

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