University of Canberra. This thesis is available in print format from the University of Canberra Library.

Similar documents
University of Canberra. This thesis is available in print format from the University of Canberra Library.

University of Pretoria

The Effect of a Seven Week Exercise Program on Golf Swing Performance and Musculoskeletal Screening Scores

COMPARISON OF RESULTS OF AEROBIC POWER VALUE DERIVED FROM DIFFERENT MAXIMUM OXYGEN CONSUMPTION TESTING METHODS

The Effects of Chronic Creatine Supplementation on Performance and Body Composition of Female Athletes. by Megan Brenner

Changes in a Top-Level Soccer Referee s Training, Match Activities, and Physiology Over an 8-Year Period: A Case Study

Monitoring of performance an training in rowers

Cross-country is the most popular mountain-biking

Physiological Assessment: Summary Report 11 December 2011

Validity and Reproducibility of the Garmin Vector Power Meter When Compared to the SRM Device

Training Program. Definitions. Preparation for Training

Unpacking Interval. Lisa A. Workman

Copyright is owned by the Author of the thesis. Permission is given for a copy to be downloaded by an individual for the purpose of research and

Innovation Report. Physiological and Biomechanical Testing of EasyPedal Pedal Prototypes. Jan 2012

INFORMATION SHEET FOR PROSPECTIVE VOLUNTEERS IN THE STUDY

The learning of complex whole body activity (Downhill skiing) by simulation

EFFECTS OF SYNCHRONOUS MUSIC ON PSYCHOLOGICAL RESPONSES, PERFORMANCE INDICES AND PHYSIOLOGICAL FUNCTIONING AMONG ELITE TRIATHLETES AND RUNNERS

INVESTIGATION OF POWER OUTPUT ON A NOVEL BICYCLE DRIVE IN COMPARISON WITH THE COMMON BICYCLE DRIVE

The Bubble Dynamics and Pressure Field Generated by a Seismic Airgun

PERFORMANCE ANALYSIS IN SOCCER: APPLICATIONS OF PLAYER TRACKING TECHNOLOGY

Congress Science and Cycling 29 & 30 june 2016 Caen. Théo OUVRARD, Julien Pinot, Alain GROSLAMBERT, Fred GRAPPE

Relationship Between Common. Measures of Training Stress and. Maximum Mean Power During. Road Cycling Races

Lucy Gossage 12 Week. Desirable Triathlon Training Plan

Myths and Science in Cycling

The running economy difference between running barefoot and running shod

Journal of Human Sport and Exercise E-ISSN: Universidad de Alicante España

Autonomous blimp control with reinforcement learning

12. Laboratory testing

PEDALING ANALYSIS Pedaling Analysis monitor the power output variations coordinated action the smoothness of the pedaling

Stride Frequency, Body Fat Percentage, and the Amount of Knee Flexion Affect the Race Time of Male Cross Country Runners

Influence of Angular Velocity of Pedaling on the Accuracy of the Measurement of Cyclist Power

Physiological demands of road sprinting in professional and U23 cycling. A pilot study

Repeated Sprint training for endurance athletes: Signalling pathways and effect on performance

Duration of exercise and anaerobic energy share. Assesment of anaerobic capabilities in elite athletes. Evaluation of anaerobic capabilities

WATTBIKE.COM HEALTH AND FITNESS

Optimization of an off-road bicycle with four-bar linkage rear suspension

XXI COMMONWEALTH GAMES Gold Coast, Australia, 4 th 15 th April 2018 Northern Ireland Cycling Team Qualification standards

A Re-Examination of Running Energetics in Average and Elite Distance Runners

TRAINING PLAN WATTBIKE.COM BASE PLAN

Evaluation of the Cyclus ergometer and the Stages power meter against the SRM crankset for measurement of power output in cycling

Chapter I examines the anthropometric and physiological factors that. determine success in sport. More specifically it discusses the somatotype

ABSTRACT THE INFLUENCE OF BODY COMPOSITION ON CADENCE EFFICIENCY IN COMPETITIVE CYCLISTS. by Tate Bross Devlin

A Novel Gear-shifting Strategy Used on Smart Bicycles

Specificity of training is perhaps the most significant

Does a particular sporting background provide an advantage to an athlete entering the sport of triathlon?

Chapter 7 National Championships

This article is downloaded from.

2004 Australasian-Oceania Swimming Professionals Convention and Trade Expo. Training Physiology

Field Testing the Upright Versus the Aero Cycling Position

DEVELOPED BY: IGNUS OOSTHUIZEN VIRGIN ACTIVE NATIONAL GROUP EXERCISE MANAGER AND EPIC CONQUEROR WITH CONTRIBUTIONS BY: SONGO FIPAZA

iworx Sample Lab Experiment HE-4: Respiratory Exchange Ratio (RER)

Training for a Cycling challenge

OXYGEN POWER By Jack Daniels, Jimmy Gilbert, 1979

Influences on the Physical Demands of International Women s Sevens Rugby

Summary of Preliminary Report on the Performance Enhancements provided by ROTOR Q-Rings Foreword

General Certificate of Education Advanced Level Examination June Optimising Performance and Evaluating Contemporary Issues within Sport

Physical Education PHED3. Optimising Performance and Evaluating Contemporary Issues within Sport

A CO 2 Waveform Simulator For Evaluation and Testing of Respiratory Gas Analyzers

Physiological Demands of Playing Field Hockey Game at Sub Elite Players

1. Introduction. Acta of Bioengineering and Biomechanics Vol. 9, No. 2, 2007 ANDRZEJ KLIMEK 1, WIESŁAW CHWAŁA 2 *

bespoke In general health and rehabilitation Breath-by-breath multi-functional respiratory gas analyser In human performance

iworx Sample Lab Experiment HE-5: Resting Metabolic Rate (RMR)

Tuesday 23 May 2017 Morning Time allowed: 1 hour 15 minutes

INFLUENCE OF PEDALING TECHNIQUE ON METABOLIC EFFICIENCY IN ELITE CYCLISTS

iworx Sample Lab Experiment HE-5: Resting Metabolic Rate (RMR)

Fatigue Determines Endurance Performance: The Training Application

RELATION BETWEEN MAXIMAL ANAEROBIC POWER OUTPUT AND TESTS ON ROWING ERGOMETER

STALLING BEHAVIOUR OF A CONTRA-ROTATING AXIAL COMPRESSOR STAGE

Validation of a Step Test in Children Ages 7-11

PRODUCT INFO SHEET. NEO 2 Smart. PRODUCT INFO NEO 2 Smart T Box

The Energy Cost of Nordic Walking

Does a particular sporting background provide an advantage to an athlete entering the sport of triathlon?

Fun Run Training Program

Vector. Pedal-based cycling power meter

Cycling. Active Cyclist. 8 weeks. Cycling training with Kéo Power. Endurance cycling, Intervals

Journal of Exercise Physiologyonline (JEPonline)

A Comparison of Observed Collegiate Female Cyclists to Elite Female Cyclists from a Meta-Analytic Review

Training for Endurance Performance

Nathaniel T. Berry. Chapel Hill Approved By: Claudio L. Battaglini, Ph.D. Anthony C. Hackney, Ph.D., D.Sc. Edgar W. Shields, Ph.D.

Experiment HE-9: Resting, Active, and Exercising Metabolic Rates

Experiment HE-9: Resting, Active, and Exercising Metabolic Rates

Effect of cadence selection on peak power and time of power production in elite BMX riders: A laboratory based study.

Biomechanical analysis of the medalists in the 10,000 metres at the 2007 World Championships in Athletics

Aerodynamic study of a cyclist s moving legs using an innovative approach

Available online at Prediction of energy efficient pedal forces in cycling using musculoskeletal simulation models

Improving the Physical Preparation and Development of Women s Rugby Sevens Players

Media PRO PARTNERSHIP HIGHLIGHT CONTENT. 4iiii Innovations is Official 2018 Power Measurement Supplier to Top World Cycling Teams

So You Want to Do the Crazyman!

Quick Guide. SGX-CA500 Cycle Computer SGY-PM Series Power Meters

The Blueprint To Elite Performance Is Here!!

SWIMMING SCIENCE BULLETIN

Human Ergometry. Bhavesh Bawankule M Tech Final year Mechanical Department Priyadarshini College of Engineering Nagpur, India

Using Hexoskin Wearable Technology to Obtain Body Metrics During Trail Hiking

THE LONG SCREAM FEATURED RACE

R J Tunbridge and J T Everest Transport and Road Research Laboratory CROWTHORNE, England

ME217 Fall 2017 Calibration Assignment

HIGH PERFORMANCE BULLETIN 188 National/NextGen Program Selection

DIFFERENCES IN PHYSICAL FITNESS IN KUMITE AND KATA PERFORMANCE BETWEEN FEMALE KARATE ATHLETES

Assessment of an International Breaststroke Swimmer Using a Race Readiness Test

PART 11 OLYMPIC GAMES Version on

Transcription:

University of Canberra This thesis is available in print format from the University of Canberra Library. If you are the author of this thesis and wish to have the whole thesis loaded here, please contact the University of Canberra Library at e-theses@canberra.edu.au Your thesis will then be available on the www providing greater access.

Competitive Mountain Bike and Road Cycling: Physiological Characteristics of Athletes and Demands of Competition Hamilton Lee A thesis submitted in fulfilment of the Master of Applied Science degree at the University of Canberra August 2003

STATEMENT OF COPYRIGHT This thesis may be freely copied and distributed for private use and study. However, no part of this thesis or the information contained therein may be included in a publication without the prior written permission of the author. Any reference must be fully acknowledged.

"This is a real hard sport... nothing in the Tour de France compares to this. It was much harder than I expected. It's only a two-hour race, but it was the hardest two hours of my life. I have a lot of respect for these guys " Lance Armstrong, 1999

DEDICATION This thesis is dedicated to my parents, the athletes and coaches with whom I have the pleasure to work and to all the people around the world who love the great outdoors.

ACKNOWLEDGEMENTS I would like to acknowledge some very special people who have in various ways supported my efforts to complete this thesis: my supervisors Dr David T Martin and Dr Judith Anson who have both been patient, kind and generous with their time and energy, without whom I would not have completed this journey; and the great athletes who willingly co-operated so that I could learn about their unique abilities along with their coaches who supported the projects. Other notable contributors include: Doug Rosemond who carefully wrote the customised software according to the required specifications; Evan Lawton who provided his usual high standard of technical assistance, in particular, with the calibration of the SRM equipment; Helen Jeffries who helped assemble the final document; David Blow for providing me with a space in which to work, and finally, Professor Allan Hahn and members of the Department of Physiology at the Australian Institute of Sport for their encouragement and support.

ABSTRACT Despite many studies describing the physiological characteristics of professional road cyclists and recent work describing the demands of competition, there is a paucity of similar information regarding elite mountain bike (MTB) cyclists. The aim of the present work was to describe the physiological characteristics and the demands of competition for successful MTB cyclists relative to successful road cyclists. Internationally competitive cyclists from both disciplines (seven MTB and seven road) completed the following laboratory tests: anthropometric measurements, an incremental cycle ergometer test and a 30 minute laboratory time trial. In addition, the power output profile obtained in the field from a world-class MTB cyclist riding a simulated race were compared to successful road cycling performances (placing top 3) in flat (FLAT), semi-mountainous (SEMO), high-mountainous (HIMO), individual time trial (ITT) and criterium (CRIT) road races. MTB cyclists were significantly lighter (65.3 ± 6.5 vs. 74.7 ± 3.8 kg, P=0.01) and leaner than the road cyclists (sum of 7 skinfolds: 33.9 ± 5.7 vs. 44.5 ± 10.8 mm, P=0.04). The MTB cyclists produced higher power outputs relative to body mass at maximal exercise (6.3 ± 0.5 vs. 5.8 ± 0.3 W-kg" 1, P=0.03), lactate threshold (5.2 ± 0.6 vs. 4.7 ± 0.3 W-kg" 1, P=0.048) and during the 30 minute time trial (5.5 ± 0.5 vs. 4.9 ± 0.3 W-kg" 1, P=0.02). Similarly, VO 2p eak relative to body mass was significantly higher in the MTB cyclists (78.3 ± 4.4 vs. 73.0 ± 3.4 ml-kg" ' min' 1, P=0.03). During the MTB race, relatively more time (57%) was spent at lower cadences (<80 rpm) compared to any of the road races (3 to 33%). This was evident across a wide range of power outputs, but particularly at higher power outputs (>7.5 W-kg" 1 ). Less time in absolute (26.0 vs. 62.2 to 69.5 min) and relative (19 vs. 28 to 37%) terms was spent at lower power outputs (0.75-3.74 W-kg" 1 ) for MTB compared to the longer mass-start road races (FLAT, HIMO and SEMO). In addition, the MTB cyclist was unique for accumulating the greatest number of high intensity surges up to 7.50-8.24 W-kg" 1 power output range (MTB, 201 vs. SEMO, 155; HIMO, 126; FLAT, 100; CRIT, 36; ITT, 8). These results indicate that success in international MTB racing requires high power-to-weight characteristics complemented by a light and lean physique. MTB racing is associated with greater torque at the pedal crank, a more constant effort with less time at lower power outputs and a higher frequency of highintensity surges than road racing. Therefore coaches should take into account these unique MTB racing characteristics when devising training programs for elite athletes.

TABLE OF CONTENTS DEDICATION iii CERTIFICATE OF AUTHORSHIP iv STATEMENT OF COPYWRIGHT v ACKNOWLEDGEMENTS vi ABSTRACT vii TABLE OF CONTENTS viii LIST OF TABLES xi LIST OF FIGURES xii ABBREVIATIONS xiv CHAPTER ONE 1 Literature Review 1 1.1 Literature Review 2 1.1.1 Overview of Mountain Bike Competition 2 1.1.2 Overview of Mountain Bike Research 3 1.1.3 Mountain Bike Injuries 4 1.1.4 Mountain Bike Equipment 5 1.1.4.1 Muscle Trauma 6 1.1.4.2 Energy Expenditure 7 1.1.4.3 Performance - Race Speed 9 1.1.5 Physiological Characteristics of Elite Mountain Bike Cyclists 9 1.1.5.1 Physical Characteristics 9 1.1.5.2 Maximal Physiological Parameters 12 1.1.5.3 Sub-maximal Exercise Responses 13 1.1.5.4 Time and Power Output 14 1.1.5.5 Economy 15 1.1.6 Demands of Competition 16 1.1.7 Training to Improve Mountain Bike Performance 18 1.1.8 Summary 19 CHAPTER TWO 20 Physiological Characteristics of Successful Mountain Bike and Professional Road Cyclists '. 20 2.1 Introduction 21 2.2 Methods 23 2.2.1 Participants 23

2.2.2 Experimental Procedures 23 2.2.2.1 Anthropometry 24 2.2.2.2 Progressive Maximal Test 24 2.2.2.3 D-maxmod Threshold 26 2.2.2.4 Economy 26 2.2.2.5 Thirty Minute Laboratory Time Trial 26 2.2.3 Statistics 27 2.3 Results 28 2.3.1 Anthropometry 28 2.3.2 Progressive Maximal Test and D-max mo d Threshold 23 2.3.3 Economy 31 2.3.4 Thirty Minute Laboratory Time Trial 31 2.4 Discussion 33 2.4.1 Overview 33 2.4.2 Anthropometry 33 2.4.3 Relative Power Output and VO 2 peak 34 2.4.4 Threshold 35 2.4.5 Economy 36 2.4.6 Thirty Minute Laboratory Time Trial 36 CHAPTER THREE.. 38 Demands of Competition 38 3.1 Introduction 39 3.2 Methods 42 3.2.1 Overview 42 3.2.2 Participants 42 3.2.2.1 Mountain Bike Cyclist 44 3.2.2.2 Road C y c l i s t s. 44 3.2.3 Field Testing 45 3.2.3.1 Power Output Monitoring 45 3.2.3.2 A Simulated Mountain Bike Race Constructed From Data Collected Whilst Riding the 2000 Olympic Mountain Bike Course 48 3.2.3.3 The 1999 Oceania Mountain Bike Championship 48 3.2.3.4 Mountain Bike Field Trials and Race Monitoring 49 3.2.3.5 The 1998 Tour of Tasmania 50 3.2.4 Data Analysis 53

3.3 Results 55 3.3.1 Racing Characteristics 55 3.3.2 Average and Peak Power Output 55 3.3.3 Cadence 57 3.3.4 Power Bands 58 3.3.5 Cadence Within Power Bands 60 3.3.6 Peaks and Troughs 64 3.3.6.1 Peaks 64 3.3.6.2 Troughs 66 3.4 Discussion 67 3.4.1 Overview 67 3.4.2 Cadence 68 3.4.2.1 Why is Cadence so low for Mountain Bike? 68 3.4.3 Power Output 70 3.4.3.1 Power Output Bands 71. 3.4.3.2 Time Within Power Bands 72 3.4.4 Quantifying Intermittent Efforts - Peaks and Troughs 74 3.4.4.1 Peaks 75 3.4.4.2 Troughs 75 3.4.5 Limitations 76 3.4.5.1 Simulated Mountain Bike Race 76 3.4.5.2 Accuracy of SRM Data 77 3.4.5.3 Peaks and Troughs 78 3.4.6 Unique Techniques, Unique Athletes, Unique Findings 78 CHAPTER FOUR 79 Summary and Future Directions 79 4.1 Summary and Future Directions 80 4.1.1 Overview 80 APPENDIX I 83 Published Manuscript From Chapter Two 83 APPENDIX II 92 Popular Article Highlighting the Mountain Bike Research in Chapter Three 92 REFERENCES 100

LIST OF TABLES Table 1.1 Summary of anthropometric and maximal exercise responses of elite mountain bike cyclists 11 Table 1.2 Physiological characteristics of professional road cyclists classified by speciality 12 Table 2.1 Comparison of anthropometric characteristics between mountain bikers arid road cyclists 28 Table 2.2 Comparison of maximal exercise responses between mountain bikers and road cyclists 29 Table 2.3 Comparison of the exercise response at the D-max modified (D-max mod ) threshold between mountain bikers and road cyclists 30 Table 2.4 Comparison of physiological parameters sustained for the 30-minute laboratory time trial between mountain bikers and road cyclists 32 Table 3.1 Anthropometric and maximal exercise characteristics of the cyclists 44 Table 3.2 Summary of race characteristics 56

LIST OF FIGURES Figure 2.1 Subject performing the progressive max text 25 Figure 3.1 Aerial view and profile of the 1999 Oceania and 2000 Olympic mountain bike course, Fairfield, Sydney 43 Figure 3.2a Mountain bike fitted with SRM crank ready for dynamic calibration during which resistance is provided by a wind trainer 46 Figure 3.2b Mountain bike SRM calibration in progress prior to field trials 47 Figure 3.3 Preparation of road SRM equipment prior to departure for the 1998 Tour of Tasmania 47 Figure 3.4 Example of an SRM file downloaded using the SRM Training System software 48 Figure 3.5 Cl about to commence the 3-lap trial on the 1999 Oceania and 2000 Olympic mountain bike course 49 Figure 3.6 Course profile of the flat stage of the 1998 Tour of Tasmania 51 Figure 3.7 Course profile of the semi-mountainous stage of the 1998 Tour of Tasmania 51 Figure 3.8 Course profile of the high mountainous stage of the 1998 Tour of Tasmania 52 Figure 3.9 Diagram of the criterium circuit in the 1998 Tour of Tasmania 52 Figure 3.10 Stylised diagram of SRM data analysed for 'peaks' and 'troughs' 54 Figure 3.11 Cadence distribution expressed as a percentage of total race time 57 Figure 3.12 Total time accumulated in 0.75 W-kg" 1 power output bands 58 Figure 3.13a Mountain bike - percentage time accumulated in 0.75 W-kg" 1 power output bands and the associated cadence (rpm) distribution 61 Figure 3.13b High mountainous road stage - percentage time accumulated in 0.75 W-kg" 1 power output bands and the associated cadence distribution 61 Figure 3.13c Semi mountainous road stage - percentage time accumulated in 0.75 W-kg" 1 power output bands and the associated cadence distribution 62 Figure 3.13d Flat road stage - percentage time accumulated in 0.75 W-kg" 1 power output bands and the associated cadence distribution 62 Figure 3.13e Criterium road stage - percentage time accumulated in 0.75 W-kg" 1 power output bands and the associated cadence distribution 63 Figure 3.13f Individual time trial road stage - percentage time accumulated in 0.75 W-kg" 1 power output bands and the associated cadence distribution 63

Figure 3.14 Cadence distribution for power outputs >7.5 W-kg" 1 expressed as a percentage of total race time 64 Figure 3.15 Number of peaks in each power output band (W-kg" 1 ) 65 Figure 3.16 Number of troughs in each power output band (W-kg" 1 ) 65

ABREVIATIONS AIS bpm Cl C2 C3 CK C0 2 CRIT D-max m0 d DS FLAT FS h HIMO HR ITT km km-hr' 1 L-min" 1 La min ul Australian Institute of Sport Beats per minute Cyclist 1 Cyclist 2 Cyclist 3 Creatine kinase Carbon dioxide Criterium road race stage Modified D-max threshold Dual suspension Flat road race stage Front suspension Hour High-mountainous road race stage Heart rate Individual time trial road race stage Kilometres Kilometers per hour Litres per minute Lactate Minute Microlitres

ml-kg"'-min"' mmhg mmol-l" 1 MTB O2 OBLA rpm s SEMO SRM UCI VE Millilitres per kilogram of body mass per minute Millimetres of mercury Millimoles per litre Mountain bike Oxygen Onset of blood lactate accumulation Revolutions per minute Second Semi-mountainous road race stage Schoberer Rad Messtechnik power output measuring device International Cycling Union Ventilation per minute Ventilation per minute at standard temperature, pressure and dry VO2 Oxygen uptake per minute Maximal oxygen uptake per minute (reported by other authors) Peak oxygen uptake (documented during a maximal test) W W-kg" 1 W max Watt Watts per kilogram of body mass Maximal power output achieved in a cycle ergometer test