Tags

Type your tag names separated by a space and hit enter

A novel submaximal cycle test to monitor fatigue and predict cycling performance.
Br J Sports Med. 2011 Aug; 45(10):797-804.BJ

Abstract

OBJECTIVE

The purpose of this study was to determine the reliability and predictive value of performance parameters, measured by a new novel submaximal cycle protocol, on peak power and endurance cycling performance in well-trained cyclists.

METHODS

Seventeen well-trained competitive male road racing cyclists completed four peak power output (PPO) tests and four 40-km time trials (40-km TT). Before each test, all cyclists performed a novel submaximal cycle test (Lamberts and Lambert Submaximal Cycle Test (LSCT)). Parameters associated with performance such as power, speed, cadence and rating of perceived exertion (RPE) were measured during the three stages of the test when cyclists rode at workloads coinciding with fixed predetermined heart rates. Heart rate recovery (HRR) was measured after the last stage of the test.

RESULTS

Parameters measured during the second and third stages of the LSCT were highly reliable (intraclass correlation range: R=0.85-1.00) with low typical error of measurements (range: 1.3-4.4%). Good relationships were found between the LSCT and cycling performance measured by the PPO and 40-km TT tests. Mean power had stronger relationships with measures of cycling performance during the second (r=0.80-0.89) and third stages (r=0.91-0.94) of the LSCT than HRR (r=0.55-0.68).

CONCLUSIONS

The LSCT is a reliable novel test which is able to predict peak and endurance cycling performance from submaximal power, RPE and HRR in well-trained cyclists. As these parameters are able to detect meaningful changes more accurately than VO(2max), the LSCT has the potential to monitor cycling performance with more precision than other current existing submaximal cycle protocols.

Authors+Show Affiliations

UCT/MRC Research Unit for Exercise Science and Sports Medicine, Department of Human Biology, University of Cape Town, Sport Science Institute of South Africa, Newlands 7725, South Africa. robert.lamberts@uct.ac.zaNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Evaluation Study
Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

19622525

Citation

Lamberts, R P., et al. "A Novel Submaximal Cycle Test to Monitor Fatigue and Predict Cycling Performance." British Journal of Sports Medicine, vol. 45, no. 10, 2011, pp. 797-804.
Lamberts RP, Swart J, Noakes TD, et al. A novel submaximal cycle test to monitor fatigue and predict cycling performance. Br J Sports Med. 2011;45(10):797-804.
Lamberts, R. P., Swart, J., Noakes, T. D., & Lambert, M. I. (2011). A novel submaximal cycle test to monitor fatigue and predict cycling performance. British Journal of Sports Medicine, 45(10), 797-804. https://doi.org/10.1136/bjsm.2009.061325
Lamberts RP, et al. A Novel Submaximal Cycle Test to Monitor Fatigue and Predict Cycling Performance. Br J Sports Med. 2011;45(10):797-804. PubMed PMID: 19622525.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - A novel submaximal cycle test to monitor fatigue and predict cycling performance. AU - Lamberts,R P, AU - Swart,J, AU - Noakes,T D, AU - Lambert,M I, Y1 - 2009/07/20/ PY - 2009/7/23/entrez PY - 2009/7/23/pubmed PY - 2012/1/12/medline SP - 797 EP - 804 JF - British journal of sports medicine JO - Br J Sports Med VL - 45 IS - 10 N2 - OBJECTIVE: The purpose of this study was to determine the reliability and predictive value of performance parameters, measured by a new novel submaximal cycle protocol, on peak power and endurance cycling performance in well-trained cyclists. METHODS: Seventeen well-trained competitive male road racing cyclists completed four peak power output (PPO) tests and four 40-km time trials (40-km TT). Before each test, all cyclists performed a novel submaximal cycle test (Lamberts and Lambert Submaximal Cycle Test (LSCT)). Parameters associated with performance such as power, speed, cadence and rating of perceived exertion (RPE) were measured during the three stages of the test when cyclists rode at workloads coinciding with fixed predetermined heart rates. Heart rate recovery (HRR) was measured after the last stage of the test. RESULTS: Parameters measured during the second and third stages of the LSCT were highly reliable (intraclass correlation range: R=0.85-1.00) with low typical error of measurements (range: 1.3-4.4%). Good relationships were found between the LSCT and cycling performance measured by the PPO and 40-km TT tests. Mean power had stronger relationships with measures of cycling performance during the second (r=0.80-0.89) and third stages (r=0.91-0.94) of the LSCT than HRR (r=0.55-0.68). CONCLUSIONS: The LSCT is a reliable novel test which is able to predict peak and endurance cycling performance from submaximal power, RPE and HRR in well-trained cyclists. As these parameters are able to detect meaningful changes more accurately than VO(2max), the LSCT has the potential to monitor cycling performance with more precision than other current existing submaximal cycle protocols. SN - 1473-0480 UR - https://www.unboundmedicine.com/medline/citation/19622525/A_novel_submaximal_cycle_test_to_monitor_fatigue_and_predict_cycling_performance_ L2 - http://bjsm.bmj.com/cgi/pmidlookup?view=long&pmid=19622525 DB - PRIME DP - Unbound Medicine ER -