Influence Of Music And Its Moments Of Application On Performance And Psychophysiological Parameters During A 5km Time Trial

Objective. The purpose of this study was to verify the influence of music introduced in different moments in a 5-km time-trial cycling (TT5KM) on psychophysical variables. Methods. Ten trained cyclists participated in this study (24 ± 1 years; 73.5 ± 10.4 kg; 180 ± 12 cm). The participants performed the TT5KM in three distinct conditions: music during warm-up (MW), music during the protocol (MP) and control (C). During all conditions the time (T), power output (W), heart rate (HR) and rating of perceived exertion (RPE) was evaluated and the mood state was assessed with the BRUMS questionnaire. After descriptive statistics, data normality was confirmed using the Shapiro-Wilk's test. Mean performance, performance at each 500m, RPE at each 1000m and mood state were compared with ANOVA two way for repeated measures (moment x condition). The significance level was set at p<0.05. A parallel statistic was used to find the smallest worthwhile change of all variables to verify the possibility of the effect to be trivial, beneficial or prejudicial. Results. None of the variables showed any difference between groups (p>0.05), but there is a possibility of RPE to be smaller when the subject listen music during (90%) or before (93%) the test compared with control condition. Conclusion. Our results showed that regardless the time of application (i.e., before or during exercise), music did not affect performance and psychophysiological parameters during the TT5KM. © 2012 Revista Andaluza de Medicina del Deporte.538390Hopkins, W.G., Hawley, J.A., Burke, L.M., Design and analysis of research on sport performance enhancement (1999) Med Sci Sports Exerc, 31, pp. 472-485Abbiss, C.R., Laursen, P.B., Models to explain fatigue during prolonged endurance cycling (2005) Sports Med, 35, pp. 865-898Silver, M.D., Use of ergogenic aids by athletes (2001) J Am Acad Orthop Surg, 9, pp. 61-70Andreacci, J.L., Lemura, L.M., Cohen, S.L., Urbansky, E.A., Chelland, S.A., Von Duvillard, S.P., The effects of frequency of encouragement on performance during maximal exercise testing (2002) J Sports Sci, 20, pp. 345-352Yarrow, K., Brown, P., Krakauer, J.W., Inside the brain of an elite athlete: The neural processes that support high achievement in sports (2009) Nat Rev Neurosci, 10, pp. 585-596Vandewalle, D., Cron, W.L., Slocum Jr., J.W., The role of goal orientation following performance feedback (2001) J Appl Psychol, 86, pp. 629-640Schmidt, L., Cléry-Melin, M.L., Lafargue, G., Valabrègue, R., Fossati, P., Dubois, B., Get aroused and be stronger: Emotional facilitation of physical effort in the human brain (2009) J Neurosci, 29, pp. 9450-9457Karageorghis, C.I., Terry, P., The psychophysical effects of music in sport and exercise: A review (1997) J Sport Behav, 20, pp. 54-68Shaulov, N., Lufi, D., Music and light during indoor cycling (2009) Percept Mot Skills, 108, pp. 597-607Szmedra, L., Bacharach, D.W., Effect of music on perceived exertion, plasma lactate, norepinephrine and cardiovascular hemodynamics during treadmill running (1998) Int J Sports Med, 19, pp. 32-37Nakamura, P.M., Pereira, G., Papini, C.B., Nakamura, F.Y., Kokubun, E., Effects of preferred and nonpreferred music on continuous cycling exercise performance (2010) Percept Mot Skills, 110, pp. 257-264Mohammadzadeh, H., Tartibiyan, B., Ahmadi, A., The effects of music on the perceived exertion rate and performance of trained and untrained individuals during progressive exercise (2008) Phys Educ Sport, 6, pp. 67-74Szabo, A., Small, A., Leigh, M., The effects of slow- and fast-rhythm classical music on progressive cycling to voluntary physical exhaustion (1999) J Sports Med Phys Fitness, 39, pp. 220-225Karageorghis, C.I., Priest, D.L., Music in the exercise domain: A review and synthesis (Part I) (2012) Int Rev Sport Exerc Psychol, 5, pp. 44-66Brownley, K.A., McMurray, R.G., Hackney, A.C., Effects of music on physiological and affective responses to graded treadmill exercise in trained and untrained runners (1995) Int J Psychophysiol, 19, pp. 193-201Karageorghis, C.I., Jones, L., Stuart, D.P., Psychological effects of music tempi during exercise (2008) Int J Sports Med, 29, pp. 613-619Waterhouse, J., Hudson, P., Edwards, B., Effects of music tempo upon submaximal cycling performance (2010) Scand J Med Sci Sports, 20, pp. 662-669Copeland, B.L., Franks, B.D., Effects of types and intensities of background music on treadmill endurance (1991) J Sports Med Phys Fitness, 31, pp. 100-103Karageorghis, C.I., Mouzourides, D.A., Priest, D.L., Sasso, T.A., Morrish, D.J., Walley, C.J., Psychophysical and ergogenic effects of synchronous music during treadmill walking (2009) J Sport Exerc Psychol, 31, pp. 18-36MacOne, D., Baldari, C., Zelli, A., Guidetti, L., Music and physical activity in psychological well-being (2006) Percept Mot Skills, 103, pp. 285-295Yamamoto, T., Ohkuwa, T., Itoh, H., Kitoh, M., Terasawa, J., Tsuda, T., Effects of pre-exercise listening to slow and fast rhythm music on supramaximal cycle performance and selected metabolic variables (2003) Arch Physiol Biochem, 111, pp. 211-214Eliakim, M., Meckel, Y., Nemet, D., Eliakim, A., The effect of music during warm-up on consecutive anaerobic performance in elite adolescent volleyball players (2007) Int J Sports Med, 28, pp. 321-325Atkinson, G., Wilson, D., Eubank, M., Effects of music on work-rate distribution during a cycling time trial (2004) Int J Sports Med, 25, pp. 611-615Hopker, J., Coleman, D., Passfield, L., Wiles, J., The effect of training volume and intensity on competitive cyclists' efficiency (2010) Appl Physiol Nutr Metab, 35, pp. 17-22Hopker, J.G., Coleman, D.A., Wiles, J.D., Differences in efficiency between trained and recreational cyclists (2007) Appl Physiol Nutr Metab, 32, pp. 1036-1042Moseley, L., Achten, J., Martin, J.C., Jeukendrup, A.E., No differences in cycling efficiency between world-class and recreational cyclists (2004) Int J Sports Med, 25, pp. 374-379Mujika, I., Padilla, S., Physiological and performance characteristics of male professional road cyclists (2001) Sports Med, 31, pp. 479-487Silberman, M.R., Webner, D., Collina, S., Shiple, B.J., Road bicycle fit (2005) Clin J Sport Med, 15, pp. 271-276Amann, M., Subudhi, A.W., Foster, C., Predictive validity of ventilatory and lactate thresholds for cycling time trial performance (2006) Scand J Med Sci Sports, 16, pp. 27-34Cottin, F., Lepretre, P.M., Lopes, P., Papelier, Y., Médigue, C., Billat, V., Assessment of ventilatory thresholds from heart rate variability in well-trained subjects during cycling (2006) Int J Sports Med, 27, pp. 959-967Cottin, F., Medigue, C., Lopes, P., Lepretre, P.M., Heubert, R., Billat, V., Ventilatory thresholds assessment from heart rate variability during an incremental exhaustive running test (2007) Int J Sports Med, 28, pp. 287-294Hajoglou, A., Foster, C., De Koning, J.J., Lucia, A., Kernozek, T.W., Porcari, J.P., Effect of warm-up on cycle time trial performance (2005) Med Sci Sports Exerc, 37, pp. 1608-1614Lane, A., Soos, I., Leibinger, E., Lweis, S., Leibinger, E., Karsai, I., Validity of the brunel mood scale for use with UK, Italian and Hungarian athletes (2008) Hot Topics in Sports and Athletics, pp. 115-127. , En: Bakere SR, ed. Nueva York: New Science Publishers IncTerry, P.C., Karageorghis, C.I., Saha, A.M., D'Auria, S., Effects of synchronous music on treadmill running among elite triathletes (2011) J Sci Med Sport, 15, pp. 52-57Borg, G., Perceived exertion as an indicator of somatic stress (1970) Scand J Rehabil Med, 2, pp. 92-98Garcin, M., Fleury, A., Mille-Hamard, L., Billat, V., Sex-related differences in ratings of perceived exertion and estimated time limit (2005) Int J Sports Med, 26, pp. 675-681Marcora, S.M., Staiano, W., The limit to exercise tolerance in humans: Mind over muscle? (2010) Eur J Appl Physiol, 109, pp. 763-770Hopkins, W.G., Marshall, S.W., Batterham, A.M., Hanin, J., Progressive statistics for studies in sports medicine and exercise science (2009) Med Sci Sports Exerc, 41, pp. 3-13Abbiss, C.R., Quod, M.J., Levin, G., Martin, D.T., Laursen, P.B., Accuracy of the Velotron ergometer and SRM power meter (2009) Int J Sports Med, 30, pp. 107-112Currell, K., Jeukendrup, A.E., Validity, reliability and sensitivity of measures of sporting performance (2008) Sports Med, 38, pp. 297-316Lim, H.B., Atkinson, G., Karageorghis, C.I., Eubank, M.R., Effects of differentiated music on cycling time trial (2009) Int J Sports Med, 30, pp. 435-442Earnest, C.P., Foster, C., Hoyos, J., Muniesa, C.A., Santalla, A., Lucia, A., Time trial exertion traits of cycling's Grand Tours (2009) Int J Sports Med, 30, pp. 240-244Yamashita, S., Iwai, K., Akimoto, T., Sugawara, J., Kono, I., Effects of music during exercise on RPE, heart rate and the autonomic nervous system (2006) J Sports Med Phys Fitness, 46, pp. 425-430Boutcher, S.H., Trenske, M., The effects of sensory deprivation and music on perceived exertion and affect during exercise (1990) J Sport Exerc Psychol, 12, pp. 167-176Hutchinson, J.C., Tenenbaum, G., Attention focus during physical effort: The mediating role of task intensity (2007) Psychol Sport Exerc, 8, pp. 233-245Rejeski, W.J., Perceived exertion: An active or passive process? (1985) J Sport Exerc Psychol, 7, pp. 371-378Montinaro, A., The musical brain: Myth and science (2010) World Neurosurg, 73, pp. 442-453Brehm, J.W., Self, E.A., The intensity of motivation (1989) Annu Rev Psychol, 40, pp. 109-131Terry, P.C., Karageorghis, C.I., Psychophysical effects of music in sport and exercise: An update on theory, research and plication (2006) Psychology Bridging the Tasman: Science, Culture and Practice - Proceedings of the 2006 Joint Conference of the Australian Psychological Society and the New Zealand Psychological Society, pp. 415-419. , En: Katsikitis M, ed. Melbourne, VIC: Australian Psychological SocietyJaenes Sánchez, J.C., Personalidad resistente en deportes (2009) Rev Andal Med De-porte, 2, pp. 98-101Edworthy, J., Waring, H., The effects of music tempo and loudness level on treadmill exercise (2006) Ergonomics, 49, pp. 1597-1610Barwood, M.J., Weston, N.J.V., Thelwell, R., Page, J., A motivational music and video intervention improves high-intensity exercise performance (2009) J Sports Sci & Med, 8, pp. 432-435Blood, A.J., Zatorre, R.J., Bermudez, P., Evans, A.C., Emotional responses to pleasant and unpleasant music correlate with activity in paralimbic brain regions (1999) Nat Neurosci, 2, pp. 382-38

Training Level Does Not Influence The Rating Of Perceived Exertion During An Incremental Test [o Nível De Treinamento Não Influencia A Percepção Subjetiva De Esforço Durante Um Teste Incremental]

Different training levels, combined with experience in performing exhaustive exercise, may produce different sensations of fatigue. The objective of this study was to compare the rating of perceived exertion (RPE) between cyclists and non-cyclists during a maximal incremental test (ITMAX). Twenty-three subjects were recruited and divided into a cyclist group (CG) (n = 12; age: 26.5 ± 4.7 years, body weight: 68.2 ± 11kg, height: 176 ± 8.6 cm) and a non-cyclist group (NCG) (n = 11; 25.2 ± 4.0 years, body weight: 72.9 ± 9 kg, height: 175.1 ± 6.3 cm). All subjects performed an ITMAX until exhaustion on a cycling simulator, starting at 0 W and with increments of 20 W.min-1. RPE was measured at 30-second intervals during ITMAX and the maximal power output (PMAX) of each subject was also recorded. The total time of each test was normalized to the percentage of completed trial (10% to 100%, intervals of 10%), and the corresponding RPE was recorded. PMAX was 368 ± 12.7 W and 256 ± 11.2 W for CG and NCG, respectively (P &lt; 0.01). No significant difference in median RPE was observed between groups at any time point. In conclusion, RPE responses did not differ between CG and NCG during ITMAX, suggesting that training level does not influence RPE.123159163Borg, E., Kaijser, L., A Comparison Between Three Rating Scales for Perceived Exertion and Two Different Work Tests (2006) Scand J Med Sci Sports, 16 (1), pp. 57-69Hummel, A., Läubli, T., Pozzo, M., Schenk, P., Spillmann, S., Klipstein, A., Relationship Between Perceived Exertion and Mean Power Frequency of the EMG Signal from the Upper Trapezius Muscle During Isometric Shoulder Elevation (2005) Eur J Appl Physiol, 95 (4), pp. 312-326(2005) Guidelines for Exercise Testing and Prescription, , American College of Sports Medicine., 7th edn. Williams and Watkins Lippincott, BaltimoreNakamura, F.Y., Gancedo, M.R., da silva, L.A., Lima, J.R.P., Kokubun, E., Utilização do esforço percebido na determinação da velocidade crítica em corrida aquática (2005) Rev Bras Med Esporte, 11 (1), pp. 1-5Borg, G., Borg's Perceived Exertion and Pain Scales (1998) Human Kinetics, , Champaign, ILChen, M.J., Fan, X., Moe, S.T., Criterion-Related Validity of the Borg Ratings of Perceived Exertion Scale in Healthy Individuals: A Meta-Analysis (2002) J Sports Sci, 20 (11), pp. 873-899Eston, R.G., Faulkner, J.A., Mason, E.A., Parfitt, G., The Validity of Predicting Maximal Oxygen Uptake from Perceptually Regulated Graded Exercise Tests of Different Durations (2006) Eur J Appl Physiol, 97 (5), pp. 535-541Baden, D.A., McLean, T.L., Tucker, R., Noakes, T.D., St Clair Gibson, A., Effect of Anticipation During Unknown or Unexpected Exercise Duration on Rating of Perceived Exertion, Affect, and Physiological Function (2005) Br J Sports Med, 39 (10), pp. 742-746Lagally, K.M., Robertson, R.J., Gallagher, K.I., Goss, F.L., Jakicic, J.M., Lephart, S.M., Perceived Exertion. Electromyography, and Blood Lactate During Acute Bouts of Resistance Exercise (2002) Med Sci Sports Exerc, 34 (3), pp. 552-559Hampson, D.B., St Clair Gibson, A., Lambert, M.I., Noakes, T.D., The Influence of Sensory Cues on the Perception of Exertion During Exercise and Central Regulation of Exercise Performance (2001) Sports Med, 31 (13), pp. 935-952St Clair Gibson, A., Baden, D.A., Lambert, M.I., Lambert, E.V., Harley, Y.X.R., Hampson, D., The Conscious Perception of the Sensation of Fatigue (2003) Sports Med, 33 (3), pp. 167-176Crewe, H., Tucker, R., Noakes, T.D., The Rate of Increase in Rating of Perceived Exertion Predicts the Duration of Exercise to Fatigue at a Fixed Power Output in Different Environmental Conditions (2008) Eur J Appl Physiol, 103 (5), pp. 569-577St Clair Gibson, A., Noakes, T.D., Evidence for Complex System Integration and Dynamic Neural Regulation of Skeletal Muscle Recruitment During Exercise in Humans (2004) Br J Sports Med, 38 (6), pp. 797-806Groslambert, A., Mahon, A.D., Perceived Exertion-Influence of Age and Cognitive Development (2006) Sports Med, 36 (11), pp. 911-928Faulkner, J., Eston, R., Overall and Peripheral Ratings of Perceived Exertion During a Graded Exercise Test to Volitional Exhaustion in Individuals of High and Low Fitness (2007) Eur J Appl Physiol, 101 (5), pp. 613-620Green, J.M., Pritchett, R.C., McLester, J.R., Crews, T.R., Tucker, D.C., Influence of Aerobic Fitness on Ratings of Perceived Exertion During Graded and Extended Duration Cycling (2007) J Sports Med Phys Fitness, 47 (1), pp. 33-39Boutcher, S.H., Seip, R.L., Hetzler, R.K., Pierce, E.F., Snead, D., Weltman, A., The Effects of Specificity of Traning on Rating of Perceived Exertion at the Lactate Threshold (1989) Eur J Appl Physiol Occup Physiol, 59 (5), pp. 365-369Felts, W.M., Crouse, S., Brunetz, M., Influence of Aerobic Fitness on Ratings of Perceived Exertion During Light to Moderate Exercise (1988) Percept Mot Skills, 67 (2), pp. 671-676Hill, D.W., Cureton, K.J., Grisham, S.C., Collins, M.A., Effect of Training on the Rating of Perceived Exertion at the Ventilatory Threshold (1987) Eur J Appl Physiol Occup Physiol, 56 (2), pp. 206-211Travlos, A.K., Marisi, D.Q., Perceived Exertion During Physical Exercise Among Individuals High and Low in Fitness (1996) Percept Mot Skills, 82 (2), pp. 419-424Noakes, T.D., Tucker, R., Do We Really Need a Central Governor to Explain Brain Regulation of Exercise Performance? A Response to the Letter of Dr. Marcora (2008) Eur J Appl Physiol, , DOI 10.1007/s00421-008-0842-3Kaufman, C., Berg, K., Noble, J., Thomas, J., Ratings of Perceived Exertion of ACSM Exercise Guidelines in Individuals Varying in Aerobic Fitness (2006) Res Q for Exerc and Sport, 77 (1), pp. 122-130Hassmen, P., Perceptual and Physiological Responses to Cycling and Running in Groups of Trained and Untrained Subjects (1990) Eur J Appl Physiol Occup Phyiol, 60 (6), pp. 445-451Noakes, T.D., Linear Relationship Between the Perception of Effort and the Duration of Constant Load Exercise That Remains (2004) J Appl Physiol, 96 (4), pp. 1571-1572Marcora, S., Perception of effort during exercise is independent of afferent feedback from skeletal muscles, heart and lungs (2009) J Appl Physiol, 106 (6), pp. 2060-206

The Efficiency Of Pedaling And The Muscular Recruitment Are Improved With Increase Of The Cadence In Cyclists And Non-cyclists

The objective of this study was to compare the efficiency of pedaling (EP) and the electromyographic activity (EMG) between cyclists and non-cyclists during cycling in different cadences. Using a cyclosimulator, 12 cyclists (26.5 ± 4.5 years; 68.2 ± 10.5 kg; 175.6 ± 8.2 cm) and 9 non-cyclists (25.1 ± 4.3 years; 72.6 ± 9.8 kg; 174.6 ± 6.2 cm), performed a maximum incremental test (ITmax), and subsequently, two constant load tests (Tconst) in different cadences (60 and 90 rpm) at the intensity of the electromyographic fatigue threshold (EMG th) determined in ITmax Before the Tconst, the subjects performed a maximum isometric voluntary contraction (MIVC) for the normalization of the EMG data of Tconst. During Tconst. the EMG of the studied muscles was recorded, as well as the EP. Although there was a trend of higher values in all occasions for the cyclists, there were no statistical differences in EP and the EMG when compared in a same cadence between groups. However, when the EMG is compared in different cadences in the same group, there was a significant increase (p &lt; 0.05) in the muscles that work during the recovery phase with the increase in cadence, in both groups, being more evident in the cyclists. In conclusion, the hypothesis that cyclists had better technique than non-cyclists was not confirmed statistically. However, it was found that the increase in cadence improves the EP and the recruitment in both groups.496-7311319Candotti, C.T., Effective force and economy of triathletes and cyclists (2007) Sports Biomech, 6 (1), pp. 31-43Chapman, A., Do differences in muscle recruitment between novice and elite cyclists reflect different movement patterns or less skilled muscle recruitment? (2007) J. Sci. Med. Sport., , doi: 10.1016/j.jsams. 2007.08.012Chapman, A.R., Patterns of leg muscle recruitment vary between novice and highly trained cyclists (2007) J. Electromyogr. Kinesiol., , doi: 10.1016/j.jelekin. 2005.12.007(2006) Users Guide, Spinscan Pedal Stroke Analyzer, pp. 24-26. , COMPUTRAINER COACHING SOFTWAREDavis, R.R., Hull, M.L., Measurement of pedal loading in bicycling: Analysis and results (1981) J. Biomech., 14 (12), pp. 857-872Denadai, B.S., Ruas, V.D., De, A., Figueira, T.R., Efeito da cadência de pedalada sobre as respostas metabolica e cardiovascular durante o exercício incremental e de carga constante em indivíduos ativos. Revista Brasileira de Mediana (2005) Esporte, 11 (5), pp. 286-290Faria, E.W., Parker, D.L., Faria, I.E., The science of cycling: Physiology and training - Part 1 (2005) Sports Medicine, 35 (4), pp. 285-312Faria, E.W., Parker, D.L., Faria, I.E., The science of cycling: Factors affecting performance - Part 2 (2005) Sports Medicine, 35 (4), pp. 313-337Gregor, B.J., Wheeler, J.B., Biomechanical factors associated with shoe/pedal interfaces: Implications for injury (1994) Sports Medicine, 17 (2), pp. 117-131Gregor, R.J., Biomecânica do ciclismo (2003) A Ciência Do Exercício e Dos Esportes, pp. 547-571. , GARRETT J.R, WE. and KIRKENDALL, D.T.: trad. RIDEL, C et al. Porto Alegre: ARTMEDHall, S.J., Conceitos cinéticos para a análise do movimento humano (2000) Biomecânica Básica, 3, pp. 46-65. , Trad. TARANTO, G. Rio de Janeiro: GUANABARA KOOGAN, capHanon, C., Thepaut-Mathieu, C., Vandewalle, H., Determination of muscular fatigue in elite runners (2005) Eur. J. Applied Physiol., 94, pp. 118-125Hermens, H.J., Freriks, B., Disselhorst-Klug, C., Rau, G., Development of recommendation for SEMG sensor and sensor placement procedures (2000) J. Electromyogr. Kinesiol., 10 (5), pp. 361-374Hug, F., Dorel, S., Electromyographic analysis of pedaling: A review (2007) J. Electromyogr. Kinesiol., , doi: 10.1016/j.jelekin. 2007.10.010Hug, F., A comparison of visual and mathematical detection of the electromyographic threshold during incremental pedaling exercise: A pilot study (2006) J. Strength Cond. Research, 209 (3), pp. 704-708Hug, F., EMG threshold determination in eight lower limb muscles during cycling exercise: A pilot study (2006) Int. J. Sports Med., 27, pp. 456-462Hug, F., EMG versus oxygen uptake during cycling exercise in trained and untrained subjects (2004) J. Electromyogr. Kinesiol., 14, pp. 187-195Hug, F., Occurrence of electromyographic and ventilatory thresholds in professional road cyclists (2003) Eur. J. Applied Physiol., 90, pp. 643-646Hull, M.L., Jorge, M., A method for biomechanical analysis of bicycle pedalling (1985) J. Biomech., 18 (9), pp. 631-644Korff, T., Effect of pedaling technique on mechanical effectiveness and efficiency in cyclists (2007) Med Sci. Sports Exerc., 39 (6), pp. 991-995Lucía, A., Analysis of the aerobic-anaerobic transition in elite cyclists during incremental exercise with the use of electromyography (1999) Br. J. Sports Med., 33, pp. 178-185Lucía, A., Hoyos, J., Chicharro, J.L., Preferred pedalling cadence in professional cycling (2001) Med. Sci. Sports Exec., 33 (8), pp. 1361-1366Neptune, R.R., Herzog, W., The association between negative muscle work and pedaling rate (1999) J. Biomech., 32, pp. 1021-1026Neptune, R., Hull, M.L., A theoretical analysis of preferred pedaling rate selection in endurance cycling (1999) J. Biomech., 32, pp. 409-415Neptune, R.R., Kautz, S.A., Hull, M.L., The effect of pedalling rate on coordination in cycling (1997) J. Biomech., 30 (10), pp. 1051-1058Patterson, R.P., Moreno, M.I., Bicycle pedaling forces as a function of pedaling rate and power output (1990) Med. Sci. Sports Exec., 22 (4), pp. 512-516Pincivero, D.M., Influence of contraction intensity, muscle, and gender on median frequency of the quadriceps femoris (2001) J. Applied Physiol., 90, pp. 804-810Pincivero, D.M., The effects of voluntary contraction effort on quadriceps femoris electromyogram median frequency in humans: A muscle and sex comparison (2002) Eur. J. Applied Physiol., 87, pp. 448-455Raasch, C.C., Zajac, F.E., Locomotor Strategy for Pedaling: Muscle Groups and Biomechanical Functions (1999) J. Neurophysiol., 82, pp. 515-525Sanderson, D.J., The influence of cadence and power on the biomechanics of force application during steady-rate cycling in competitive and recreational cyclist (1991) J. Sports Sci., 9, pp. 191-203Sarre, G., Lepers, R., Neuromuscular function during prolonged pedalling exercise at different cadences (2005) Acta Physiol. Scand., 185, pp. 321-328So, R.C.H., Ng, K.F.J., Ng, Y.F.G., Muscle recruitment pattern in cycling: A review (2005) Physical Therapy in Sport, 6, pp. 89-96Takaishi, T., Neuromuscular, metabolic, and kinetic adaptations for skilled pedaling performance in cyclists (1998) Med. Sci. Sports Exerc., 30 (3), pp. 442-449Too, D., Cycling: Biomechanics, , hptt:/www.sportsci.org/encvc/drafts/Cyclingbiomechanics/.doc, Available in accessed in: 11 jun. 2006Zameziati, K., Mornieux, G., Rouffet, D., Belli, A., Relationship between the increase of effectiveness indexes and the increase of muscular efficiency with cycling power (2006) Eur. J. Applied Physiol., 96, pp. 274-28