THE RELATIONSHIP AMONG PEAK POWER OUTPUT, LACTATE THRESHOLD, AND SHORT-DISTANCE CYCLING PERFORMANCE

2006 ◽  
Vol 20 (1) ◽  
pp. 157-161
Author(s):  
LARS R. MCNAUGHTON ◽  
SIMON ROBERTS ◽  
DAVID J. BENTLEY
Keyword(s):  
Power Output ◽  
Short Distance ◽  
Lactate Threshold ◽  
Peak Power ◽  
Cycling Performance ◽  
Peak Power Output ◽  
The Relationship

THE RELATIONSHIP BETWEEN PEAK POWER OUTPUT AND 30-MIN CYCLING PERFORMANCE

2003 ◽  
Vol 35 (Supplement 1) ◽  
pp. S337
Author(s):  
D J. Bentley ◽  
L R. McNaughton ◽  
V E. Vleck ◽  
J Hatcher
Keyword(s):  
Power Output ◽  
Peak Power ◽  
Cycling Performance ◽  
Peak Power Output ◽  
The Relationship

scholarly journals Relationship Between Critical Power and Different Lactate Threshold Markers in Recreational Cyclists

2021 ◽  
Vol 12 ◽  
Author(s):  
Pedro L. Valenzuela ◽  
Lidia B. Alejo ◽  
Almudena Montalvo-Pérez ◽  
Jaime Gil-Cabrera ◽  
Eduardo Talavera ◽  
...  
Keyword(s):  
Power Output ◽  
Lactate Threshold ◽  
Peak Power ◽  
Critical Power ◽  
Strong Association ◽  
Peak Power Output ◽  
Strong Correlations ◽  
Limits Of Agreement ◽  
Blood Lactate Accumulation ◽  
The Relationship

Purpose: To analyze the relationship between critical power (CP) and different lactate threshold (LT2) markers in cyclists.Methods: Seventeen male recreational cyclists [33 ± 5 years, peak power output (PO) = 4.5 ± 0.7 W/kg] were included in the study. The PO associated with four different fixed (onset of blood lactate accumulation) and individualized (Dmaxexp, Dmaxpol, and LTΔ1) LT2 markers was determined during a maximal incremental cycling test, and CP was calculated from three trials of 1-, 5-, and 20-min duration. The relationship and agreement between each LT2 marker and CP were then analyzed.Results: Strong correlations (r = 0.81–0.98 for all markers) and trivial-to-small non-significant differences (Hedges’ g = 0.01–0.17, bias = 1–9 W, and p > 0.05) were found between all LT2 markers and CP with the exception of Dmaxexp, which showed the strongest correlation but was slightly higher than the CP (Hedges’ g = 0.43, bias = 20 W, and p < 0.001). Wide limits of agreement (LoA) were, however, found for all LT2 markers compared with CP (from ±22 W for Dmaxexp to ±52 W for Dmaxpol), and unclear to most likely practically meaningful differences (PO differences between markers >1%, albeit <5%) were found between markers attending to magnitude-based inferences.Conclusion: LT2 markers show a strong association and overall trivial-to-small differences with CP. Nevertheless, given the wide LoA and the likelihood of potentially meaningful differences between these endurance-related markers, caution should be employed when using them interchangeably.

Peak power output, the lactate threshold, and time trial performance in cyclists

2001 ◽  
Vol 33 (12) ◽  
pp. 2077-2081 ◽  
Author(s):  
DAVID J. BENTLEY ◽  
LARS R. MCNAUGHTON ◽  
DYLAN THOMPSON ◽  
VERONICA E. VLECK ◽  
ALAN M. BATTERHAM
Keyword(s):  
Power Output ◽  
Lactate Threshold ◽  
Peak Power ◽  
Time Trial ◽  
Peak Power Output ◽  
Time Trial Performance ◽  
Trial Performance

scholarly journals Effects of ischemic preconditioning on maximal constant-load cycling performance

2015 ◽  
Vol 119 (9) ◽  
pp. 961-967 ◽  
Author(s):  
Rogério Santos de Oliveira Cruz ◽  
Rafael Alves de Aguiar ◽  
Tiago Turnes ◽  
Kayo Leonardo Pereira ◽  
Fabrizio Caputo
Keyword(s):  
Ischemic Preconditioning ◽  
Power Output ◽  
Peak Power ◽  
Perceived Exertion ◽  
Slow Component ◽  
Cycling Performance ◽  
Peak Power Output ◽  
Vastus Lateralis Muscle ◽  
Incremental Test ◽  
Rate Of Increase

This study investigated the effects of ischemic preconditioning (IPC) on the ratings of perceived exertion (RPE), surface electromyography, and pulmonary oxygen uptake (V̇o2) onset kinetics during cycling until exhaustion at the peak power output attained during an incremental test. A group of 12 recreationally trained cyclists volunteered for this study. After determination of peak power output during an incremental test, they were randomly subjected on different days to a performance protocol preceded by intermittent bilateral cuff pressure inflation to 220 mmHg (IPC) or 20 mmHg (control). To increase data reliability, the performance visits were replicated, also in a random manner. There was an 8.0% improvement in performance after IPC (control: 303 s, IPC 327 s, factor SDs of ×/÷1.13, P = 0.01). This change was followed by a 2.9% increase in peak V̇o2 (control: 3.95 l/min, IPC: 4.06 l/min, factor SDs of ×/÷1.15, P = 0.04), owing to a higher amplitude of the slow component of the V̇o2 kinetics (control: 0.45 l/min, IPC: 0.63 l/min, factor SDs of ×/÷2.21, P = 0.05). There was also an attenuation in the rate of increase in RPE ( P = 0.01) and a progressive increase in the myoelectrical activity of the vastus lateralis muscle ( P = 0.04). Furthermore, the changes in peak V̇o2 ( r = 0.73, P = 0.007) and the amplitude of the slow component ( r = 0.79, P = 0.002) largely correlated with performance improvement. These findings provide a link between improved aerobic metabolism and enhanced severe-intensity cycling performance after IPC. Furthermore, the delayed exhaustion after IPC under lower RPE and higher skeletal muscle activation suggest they have a role on the ergogenic effects of IPC on endurance performance.

scholarly journals Physiological and Psychological Adaptations of Trained Cyclists to Spring Cycling Camps

2018 ◽  
Vol 64 (1) ◽  
pp. 137-146
Author(s):  
Jean-François Dionne ◽  
Claude Lajoie ◽  
Philippe Gendron ◽  
Eduardo Freiberger ◽  
François Trudeau
Keyword(s):  
Power Output ◽  
Lactate Threshold ◽  
Peak Power ◽  
Mechanical Efficiency ◽  
Peak Power Output ◽  
Threshold Power ◽  
Training Camp ◽  
Physiological Adaptations ◽  
Gross Mechanical Efficiency ◽  
Cycling Training

Abstract The purpose of our study was to assess physiological adaptations and measure mood outcomes following a cycling training camp in competitive athletes. Fourteen competitive athletes (8 males, 6 females) performed 2 incremental tests to exhaustion before and after a training camp. Volume and intensity (load) of the training regimen were recorded. Submaximal and maximal metabolic data were analysed, as well as economy variables (gross mechanical efficiency and cycling economy). Skeletal muscle adaptations were assessed using near infrared spectroscopy (NIRS). For both genders (n = 14), peak power output, peak power output-W/kg ratio and peak power output-B[La] were significantly increased (p < 0.05) after the cycling training camp (p < 0.05). Significant increases occurred for gross mechanical efficiency measured at the lactate threshold (+4.9%) and at the same precamp lactate threshold power output (+2.9%). At the lactate threshold and Post Camp Lactate Threshold Power, cycling economy increased by 5.2 and 2.9%, respectively (p < 0.05). These power measurements were significantly correlated with individual fluctuations in deoxyhaemoglobin in the vastus lateralis for male cyclists only. Profile of Mood State questionnaire results showed that subcategories “Tension-Anxiety”, “Confusion”, “Fatigue” and “Total Global Score” significantly decreased after the training camp. Cycling training camps were associated with positive adaptations (increased cycling economy, gross mechanical efficiency and power output) as well as some mental benefits. This indicates that despite some significant physiological adaptations participants probably did not overreach during their CTC.

scholarly journals Isovelocity vs. Isoinertial Sprint Cycling Tests for Power- and Torque-cadence Relationships

2019 ◽  
Vol 40 (14) ◽  
pp. 897-902 ◽  
Author(s):  
Mehdi Kordi ◽  
Jonathan Folland ◽  
Stuart Goodall ◽  
Paul Barratt ◽  
Glyn Howatson
Keyword(s):  
Performance Measures ◽  
Power Output ◽  
Peak Power ◽  
Cycling Performance ◽  
Peak Power Output ◽  
Maximum Torque ◽  
Functional Measures ◽  
Sprint Cycling ◽  
Optimal Cadence

AbstractSprint cycling performance is heavily dependent on mechanical peak power output (PPO) and the underlying power- and torque-cadence relationships. Other key indices of these relationships include maximum torque (TMAX), cadence (CMAX) and optimal cadence (COPT). Two common methods are used in the laboratory to ascertain PPO: isovelocity and isoinertial. Little research has been carried out to compare the magnitude and reliability of these performance measures with these two common sprint cycling assessments. The aim of this study was to compare the magnitude and reliability of PPO, TMAX, CMAX and COPT measured with isovelocity and isoinertial sprint cycling methods. Two experimental sessions required 20 trained cyclists to perform isoinertial sprints and then isovelocity sprints. For each method, power-cadence and torque-cadence relationships were established, and PPO and COPT were interpolated and TMAX and CMAX were extrapolated. The isoinertial method produced significantly higher PPO (p<0.001) and TMAX (p<0.001) than the isovelocity method. However, the isovelocity method produced significantly higher COPT (p<0.001) and CMAX (p=0.002). Both sprint cycling tests showed high levels of between-session reliability (isoinertial 2.9–4.4%; isovelocity 2.7–4.0%). Functional measures of isovelocity and isoinertial sprint cycling tests were highly reliable but should not be used interchangably.

Is the Functional Threshold Power a Valid Surrogate of the Lactate Threshold?

2018 ◽  
Vol 13 (10) ◽  
pp. 1293-1298 ◽  
Author(s):  
Pedro L. Valenzuela ◽  
Javier S. Morales ◽  
Carl Foster ◽  
Alejandro Lucia ◽  
Pedro de la Villa
Keyword(s):  
Effect Size ◽  
Power Output ◽  
Lactate Threshold ◽  
Peak Power ◽  
Time Trial ◽  
Peak Power Output ◽  
Threshold Power ◽  
Limits Of Agreement ◽  
Mean Power ◽  
Mean Power Output

Purpose: To analyze the relationship between functional threshold power (FTP) and the lactate threshold (LT). Methods: A total of 20 male cyclists performed an incremental test in which LT was determined. At least 48 h later, they performed a 20-min time trial, and 95% of the mean power output was defined as FTP. Participants were divided into recreational (peak power output < 4.5 W·kg−1; n = 11) or trained cyclists (peak power output > 4.5 W·kg−1; n = 9) according to their fitness status. Results: The FTP (240 [35] W) was overall not significantly different (effect size = 0.20; limits of agreement = −2.4% [11.5%]) from the LT (246 [24] W), and both markers were strongly correlated (r = .95; P < .0001). Accounting for the participants’ fitness status, no significant differences were found between FTP and LT (effect size = 0.22; limits of agreement =2.1% [7.8%]) in trained cyclists, but FTP was significantly lower than the LT (P = .0004, effect size = 0.81; limits of agreement =−6.5% [8.3%]) in recreational cyclists. A significant relationship was found between relative peak power output and the bias between FTP and the LT markers (r = .77; P < .0001). Conclusions: FTP is a valid field test-based marker for the assessment of endurance fitness. However, caution should be taken when using FTP interchangeably with LT, as the bias between markers seems to depend on the athlete’s fitness status. Whereas FTP provides a good estimate of LT in trained cyclists, in recreational cyclists, it may underestimate LT.

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