James Spragg

University of Cape Town | UCT · HPALS, Department of Human Biology

Dear Editor, While we were surprised by the timing, we would nevertheless like to thank Mr Dotan for his comment on our viewpoint. Mr Dotan reiterates our main point; that maximal oxygen uptake (V̇O2max) is an insufficient metric when classifying participants and describing the training status. We also appear to be in agreement that the intensity c...

Objectives This study aimed to investigate predictors of cycling performance in U23 cyclists by comparing traditional approaches to a novel method-the compound score. Thirty male U23 cyclists (N=30, age 20.1±1.1 yrs, body mass 69.0 ± 6.9 kg, height 182.6 ± 6.2 cm, V O 2max 73.8 ±2.5 mL.kg-1 .min-1) participated in this study. Design and Methods...

Purpose: To determine if durability can be predicted from laboratory measures in a professional cycling population. Methods: Data were collected from 10 professional cyclists (age, 19.2 ± 0.8 years, body mass 70.4 ± 5.52 kg, height 182.9 ± 4.0 cm, BMI 21.0 ± 1.3 kg·m 2 , V O 2max 74.4 ± 4.8 mL·kg-1 ·min-1 , Critical Power 5.57 ± 0.58 W·kg-1 , W´...

Background This study aimed to investigate the impact of the intensity of prior accumulated work on the decline in power output in elite/international level road cyclists, comparing the effects of prior continuous moderate intensity versus intermittent high intensity cycling. Methods Nine elite/international level road cyclists (age 26.2 ± 4.0 yea...

Results: Absolute 5MMPfatigue, 12MMPfatigue and relative 12MMPfatigue were significantly lower in late-season compared with early- and mid-season (p < 0.05). The difference in absolute 12MMPfresh and 12MMPfatigue was significantly greater in late than in early- and mid-season.A significant relationship was found between training time below the fir...

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-dur...

The aim of this study was to analyze climbing performance across two editions of a professional multistage race, and assess the influence of climb category, prior workload, and intensity measures on climbing performance in U23 and professional cyclists. Nine U23 cyclists (age 20.8 ± 0.9 years) and 8 professional cyclists (28.1 ± 3.2 years) particip...

Parents and coaches play a key role in the talent development process. In fact, without the support of dedicated parents and the guidance of well-educated trainers and coaches, it is impossible for a cyclist to develop optimally, let alone to make it to the top. The KNWU feels a responsibility to provide parents and coaches with the best possible s...

Purpose: The aim of this study was to compare the power profile, internal and external workloads, and racing performance between U23 and professional cyclists and between varying rider types across 2 editions of a professional multistage race. Methods: Nine U23 cyclists from a Union Cycliste Internationale "Continental Team" (age 20.8 [0.9] y; b...

Background: The purpose of this study was to investigate differences in the power profile derived from training and racing, the training characteristics across a competitive season and the relationships between training and power profile in U23 professional cyclists. Methods: Thirty male U23 professional cyclists (age, 20.0 ± 1.0 years; weight,...

Purpose: The aim of this study was to investigate changes in the power profile of U23 professional cyclists during a competitive season based on maximal mean power output (MMP) and derived critical power (CP) and work capacity above CP (W') obtained during training and racing. Methods: A total of 13 highly trained U23 professional cyclists (age...

This sample dataset uses existing mathematical models in order to derive the power duration relationship. MMP - Mean Maximum Power Morton 2P - Morton two parameter model Morton 3P - Morton three parameter model P-T - Peronnet & Thibault

This was due to be presented at Science & cycling 2020