Methods of monitoring training load and their relationships to changes in fitness and performance in competitive road cyclists

Sanders, D.; Abt, G.; Hesselink, M.K.; Myers, T. and Akubat, I. (2017) Methods of monitoring training load and their relationships to changes in fitness and performance in competitive road cyclists. International Journal of Sports Physiology and Performance, 12 (5). pp. 668-675. ISSN 1555-0273

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Official URL: https://doi.org/10.1123/ijspp.2016-0454

Abstract

Purpose: The aim of this study was to assess the dose-response relationships between different training load methods and aerobic fitness and performance in competitive road cyclists. Method: Training data from 15 well-trained competitive cyclists were collected during a 10-week (December – March) pre-season training period. Before and after the training period, participants underwent a laboratory incremental exercise test with gas exchange and lactate measures and a performance assessment using an 8-min time trial (8MT). Internal training load was calculated using Banister’s TRIMP (bTRIMP), Edwards’ TRIMP (eTRIMP), individualized TRIMP (iTRIMP), Lucia’s TRIMP (luTRIMP) and session-RPE (sRPE). External load was measured using Training Stress Score™ (TSS). Results: Large to very large relationships (r = 0.54-0.81) between training load and changes in submaximal fitness variables (power at 2 and 4 mmol·L-1) were observed for all training load calculation methods. The strongest relationships with changes in aerobic fitness variables were observed for iTRIMP (r = 0.81 [95% CI: 0.51 to 0.93, r = 0.77 [95% CI 0.43 to 0.92]) and TSS (r = 0.75 [95% CI 0.31 to 0.93], r = 0.79 [95% CI: 0.40 to 0.94]). The highest dose-response relationships with changes in the 8MT performance test were observed for iTRIMP (r = 0.63 [95% CI 0.17 to 0.86]) and luTRIMP (r = 0.70 [95% CI: 0.29 to 0.89). Conclusions: The results show that training load quantification methods that integrate individual physiological characteristics have the strongest dose-response relationships, suggesting this to be an essential factor in the quantification of training load in cycling.

Item Type: Article
Additional Information: Accepted author manuscript version reprinted, by permission, from International Journal of Sports Physiology and Performance, 2017, 12(5): 668-675, https://doi.org/10.1123/ijspp.2016-0454. © Human Kinetics, Inc.
Members: Newman University
Depositing User: Jane Faux
Date Deposited: 11 Oct 2016 13:40
Last Modified: 03 Aug 2017 13:47
URI: http://collections.crest.ac.uk/id/eprint/10206

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