Muscle fiber type effects on energetically optimal cadences in cycling.

Fast-twitch (FT) and slow-twitch (ST) muscle fibers vary in their mechanical and energetic properties, and it has been suggested that muscle fiber type distribution influences energy expenditure and the energetically optimal cadence during pedaling. However, it is challenging to experimentally isolate the effects of muscle fiber type on pedaling energetics. In the present study, a modeling and computer simulation approach was used to test the dependence of muscle energy expenditure on pedaling rate during submaximal cycling. Simulations were generated using a musculoskeletal model at cadences from 40 to 120 rev min(-1), and the dynamic and energetic properties of the model muscles were scaled to represent a range of muscle fiber types. Energy expenditure and the energetically optimal cadence were found to be higher in a model with more FT fibers than a model with more ST fibers, consistent with predictions from the experimental literature. At the muscle level, mechanical efficiency was lower in the model with a greater proportion of FT fibers, but peaked at a higher cadence than in the ST model. Regardless of fiber type distribution, mechanical efficiency was low at 40 rev min(-1), increased to a broad plateau between 60 and 100 rev min(-1) , and decreased substantially at 120 rev min(-1). In conclusion, muscle fiber type distribution was confirmed as an important determinant of the energetics of pedaling.

[1]  Philip E. Martin,et al.  A Model of Human Muscle Energy Expenditure , 2003, Computer methods in biomechanics and biomedical engineering.

[2]  Priscilla M. Clarkson,et al.  Maximal isometric strength and fiber type composition in power and endurance athletes , 2004, European Journal of Applied Physiology and Occupational Physiology.

[3]  A. Peter Holm,et al.  MEDICINE AND SCIENCE IN SPORTS , 1969 .

[4]  A P Marsh,et al.  Effect of cadence, cycling experience, and aerobic power on delta efficiency during cycling. , 2000, Medicine and science in sports and exercise.

[5]  P D Gollnick,et al.  Enzyme activity and fiber composition in skeletal muscle of untrained and trained men. , 1972, Journal of applied physiology.

[6]  A. Thorstensson,et al.  Force-velocity relations and fiber composition in human knee extensor muscles. , 1976, Journal of applied physiology.

[7]  Alain Belli,et al.  Optimal pedalling velocity characteristics during maximal and submaximal cycling in humans , 1999, European Journal of Applied Physiology and Occupational Physiology.

[8]  T. Moritani,et al.  Neuromuscular, metabolic, and kinetic adaptations for skilled pedaling performance in cyclists. , 1998, Medicine and science in sports and exercise.

[9]  J. Coast,et al.  Linear increase in optimal pedal rate with increased power output in cycle ergometry , 1985, European Journal of Applied Physiology and Occupational Physiology.

[10]  A P Marsh,et al.  The association between cycling experience and preferred and most economical cadences. , 1993, Medicine and science in sports and exercise.

[11]  D. Poole,et al.  Pulmonary and leg VO2 during submaximal exercise: implications for muscular efficiency. , 1992, Journal of applied physiology.

[12]  Maarten F. Bobbert,et al.  The contribution of muscle properties in the control of explosive movements , 1993, Biological Cybernetics.

[13]  J. R. Lacour,et al.  Optimal velocity for maximal power production in non-isokinetic cycling is related to muscle fibre type composition , 2004, European Journal of Applied Physiology and Occupational Physiology.

[14]  P. E. Martin,et al.  Effect of cycling experience, aerobic power, and power output on preferred and most economical cycling cadences. , 1997, Medicine and science in sports and exercise.

[15]  A. V. van Soest,et al.  Which factors determine the optimal pedaling rate in sprint cycling? , 2000, Medicine and science in sports and exercise.

[16]  R. Kretchmar Exercise and Sport Science , 1989 .

[17]  H. Bremermann A method of unconstrained global optimization , 1970 .

[18]  F E Zajac,et al.  Bicycle drive system dynamics: theory and experimental validation. , 2000, Journal of biomechanical engineering.

[19]  E. Coyle,et al.  Load and Velocity of Contraction Influence Gross and Delta Mechanical Efficiency , 1992, International journal of sports medicine.

[20]  Hannover,et al.  Relationship Between Work Load, Pedal Frequency, and Physical Fitness* , 1984, International journal of sports medicine.

[21]  K. Newell,et al.  Metabolic energy expenditure and the regulation of movement economy , 1998 .

[22]  G. Brooks,et al.  Muscular efficiency during steady-rate exercise: effects of speed and work rate. , 1975, Journal of applied physiology.

[23]  E. Coyle,et al.  Leg extension power and muscle fiber composition. , 1979, Medicine and science in sports.

[24]  M. Johnson,et al.  Data on the distribution of fibre types in thirty-six human muscles. An autopsy study. , 1973, Journal of the neurological sciences.

[25]  C. Barclay,et al.  Efficiency of fast- and slow-twitch muscles of the mouse performing cyclic contractions. , 1994, The Journal of experimental biology.

[26]  M L Hull,et al.  Evaluation of performance criteria for simulation of submaximal steady-state cycling using a forward dynamic model. , 1997, Journal of biomechanical engineering.

[27]  L. Stark,et al.  Modeling dynamical interactions between fast and slow movements: fast saccadic eye movement behavior in the presence of the slower VOR , 1984 .

[28]  E. Coyle,et al.  Cycling efficiency is related to the percentage of type I muscle fibers. , 1992, Medicine and science in sports and exercise.

[29]  C. Reggiani,et al.  Human skeletal muscle fibres: molecular and functional diversity. , 2000, Progress in biophysics and molecular biology.

[30]  M L Hull,et al.  A mechanically decoupled two force component bicycle pedal dynamometer. , 1988, Journal of biomechanics.

[31]  G C Elder,et al.  Variability of fiber type distributions within human muscles. , 1982, Journal of applied physiology: respiratory, environmental and exercise physiology.

[32]  J. Hagberg,et al.  Effect of pedaling rate on submaximal exercise responses of competitive cyclists. , 1981, Journal of applied physiology: respiratory, environmental and exercise physiology.

[33]  J Daniels,et al.  Skeletal muscle enzymes and fiber composition in male and female track athletes. , 1976, Journal of applied physiology.

[34]  S A Kautz,et al.  Physiological and biomechanical factors associated with elite endurance cycling performance. , 1991, Medicine and science in sports and exercise.

[35]  G Sjøgaard,et al.  Muscle fibre type, efficiency, and mechanical optima affect freely chosen pedal rate during cycling. , 2002, Acta physiologica Scandinavica.

[36]  Brian Robert Umberger Effects of cycle rate on the mechanics and energetic of human locomotion , 2003 .

[37]  L. Jorfeldt,et al.  Leg blood flow during exercise in man. , 1971, Clinical science.

[38]  J. He,et al.  Feedback gains for correcting small perturbations to standing posture , 1989, Proceedings of the 28th IEEE Conference on Decision and Control,.

[39]  J. B. Weir New methods for calculating metabolic rate with special reference to protein metabolism , 1949, The Journal of physiology.

[40]  Rall Ja,et al.  Energetic aspects of skeletal muscle contraction: implications of fiber types. , 1985 .

[41]  F. Zajac,et al.  Muscle coordination of maximum-speed pedaling. , 1997, Journal of biomechanics.

[42]  F. Zajac,et al.  Locomotor strategy for pedaling: muscle groups and biomechanical functions. , 1999, Journal of neurophysiology.

[43]  M. Ramey,et al.  Influence of pedalling rate and power output on energy expenditure during bicycle ergometry. , 1976, Ergonomics.

[44]  B. A. Wilson,et al.  Exercise efficiency: validity of base-line subtractions. , 1980, Journal of applied physiology: respiratory, environmental and exercise physiology.

[45]  R. Neptune,et al.  A theoretical analysis of preferred pedaling rate selection in endurance cycling. , 1999, Journal of biomechanics.