The role of the power-based cycling test called the Functional Threshold Power test (FTP) is examined in the current research project. The computed cycling FTP (c-FTP) is reported to represent the uppermost power output that a cyclist can maintain in a quasi-steady-state for 60-min (Allen & Coggan, 2010). In keeping with convention, this research sought to assess the reliability and validity of this new test(n = 19). Using a highly trained group of triathletes and cyclist, the reliability of c-FTP was appraised by repeating the same test twice. The validity of c-FTP was assessed by measuring the cardio-pulmonary and blood lactate response to the c-FTP intensity to identify whether a quasi-steady-state response was evident. Athletes were also required to attempt to complete a 60-min fixed load trial at c-FTP to appraise the veracity of the claimed limits of tolerance (LoT). The c-FTP was compared with traditional markers of blood lactate threshold. The c-FTP intensity was also compared with the power-derived threshold Critical Power (CP) in a similarly highly-trained cohort (n= 15). The investigation identified correlates of c-FTP (n = 70) with the intention of training a predictive equation for FTP(m-FTP). A subsequent follow-upstudy in club-level rowers (n=18) investigatedthe effectiveness of this cycling-derived equation. The study design to appraise the validity and reliability of c-FTP required four non-randomised tests over successive weeks; a 3-min incremental test (GxT) to exhaustion, two 20-min FTP time-trials to determine c-FTP data and a 60-min test at c-FTP. The comparison of c-FTP and CP required participants to attend the laboratory on seven to eight occasions. The first two tests performed were aGxT and VO2max test. Thereafter, four LoT tests to determine CP and one to determine c-FTP were completed. The next phase of the research gathered cycling GxT data to train a predictive model for FTP (m-FTP).The investigation concluded with a heterogeneously trained group of rowers completing a GxT on a rowing ergometer and the predictive equation being applied to their derived data. Each rower proceeded to complete a rowing FTP test (r-FTP) and the results from the m-FTP were compared with r-FTP. The 95% limitsof agreement (95% LoA) associated with; repeated c-FTP trials were +13 to -17 W with a mean bias 2 W and sy.xof 9 W. Individual power at c-FTP was sustained for 60-min by seventeen (89 %) of nineteen athletes; the two athletes unable to complete the c-FTP trial aborted at 35 and 52-min, respectively. Mean VO2data increased from 84 % at 10-min to 88 % of VO2peak during the last 10-min of the 60-min c-FTP trial. Changes in BLabetween 10-min and 60-min were < 0.05 mmol.L-1.min-1. The mean power at CP (Jmodel) was significantly higher than at c-FTP (282 ± 53 vs. 266 ± 55 W, P < 0.001). The 95 % LoA between CP (Jmodel) and c-FTP were+ 4 W to -36 W with a mean bias of 16 W and sy.xof 10 W. The differences between CP and c-FTP were homoscedastically distributed. The predictive cycling model (m-FTP) of -6.6 + 0.32 FBLC-4 + 0.42 BM + 0.46 Pmax was identified as the best predictor of c-FTP (sy.x = 15 W; r2 = 0.89; r2adj = 0.89, P= 0.0001). The application of the m-FTP equation to rowing GxT data revealed no significant difference between predicted rowing FTP (m-FTP) versus measured r-FTP data, (F = 1.13, P= 0.80, repeated measures ANOVA). The computed 95% LoA were 18 to + 15W with a mean bias of 2 W and an associated sy.xof 7 W. The FTP test was determined to be both reliable and valid. CP was demonstrated to be significantly higher than c-FTP (P < 0.001), however the 95% LoA set a prioribetween computed CP using the Jmodeland c-FTP were deemed somewhat satisfactory.A correction factor of + 16 W was proposed to be added to c-FTP to compute CP (Jmodel).The predictive equation was demonstrated to effectively predict c-FTP from GxT data in two distinct cohorts.
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