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European Journal of Applied Physiology

, Volume 115, Issue 6, pp 1273–1281 | Cite as

The electromyographic threshold in boys and men

  • Brynlynn Pitt
  • Raffy DotanEmail author
  • Jordan Millar
  • Devon Long
  • Craig Tokuno
  • Thomas O’Brien
  • Bareket Falk
Original Article

Abstract

Background

Children have been shown to have higher lactate (LaTh) and ventilatory (VeTh) thresholds than adults, which might be explained by lower levels of type-II motor-unit (MU) recruitment. However, the electromyographic threshold (EMGTh), regarded as indicating the onset of accelerated type-II MU recruitment, has been investigated only in adults.

Purpose

To compare the relative exercise intensity at which the EMGTh occurs in boys versus men.

Methods

Participants were 21 men (23.4 ± 4.1 years) and 23 boys (11.1 ± 1.1 years), with similar habitual physical activity and peak oxygen consumption (VO2pk) (49.7 ± 5.5 vs. 50.1 ± 7.4 ml kg−1 min−1, respectively). Ramped cycle ergometry was conducted to volitional exhaustion with surface EMG recorded from the right and left vastus lateralis muscles throughout the test (~10 min). The composite right–left EMG root mean square (EMGRMS) was then calculated per pedal revolution. The EMGTh was then determined as the exercise intensity at the point of least residual sum of squares for any two regression line divisions of the EMGRMS plot.

Results

EMGTh was detected in 20/21 of the men (95.2 %) and only in 18/23 of the boys (78.3 %). The boys’ EMGTh was significantly higher than the men’s (86.4 ± 9.6 vs. 79.7 ± 10.0 % of peak power output at exhaustion; p < 0.05). The pattern was similar when EMGTh was expressed as percentage of VO2pk.

Conclusions

The boys’ higher EMGTh suggests delayed and hence lesser utilization of type-II MUs in progressive exercise, compared with men. The boys–men EMGTh differences were of similar magnitude as those shown for LaTh and VeTh, further suggesting a common underlying factor.

Keywords

Children Exercise Motor unit activation 

Abbreviations

EMG

Electromyography

EMGTh

Electromyographic threshold

HR

Heart rate

LaTh

Lactate threshold

MU/MUs

Motor unit/motor units

MVC

Maximal voluntary contraction

OBLA

Onset of blood lactate accumulation

PHV

Peak height velocity

Pmax

Maximal power attained at end of the EMGTh test

PVO2pk

Peak aerobic power (mechanical power output corresponding to VO2pk)

RER

Respiratory exchange ratio

RMS

Root mean square

SD

Standard deviation

VeTh

Ventilatory/gas-exchange threshold

VO2

Oxygen consumption

VO2pk

Peak oxygen consumption

Notes

Acknowledgments

The authors wish to thank all participants for the hard work and dedication they invested in this study. We are also indebted to the boys’ parents or guardians for consenting, bringing the boys, and making it all possible. Special gratitude and appreciation is reserved for Mr. James Desjardins for developing the necessary software in a most proficient manner and with the utmost patience for the whims and wishes of the researchers. Funding: The study was funded by the Canadian Institutes of Health Research, Grant No199944.

Conflict of interest

The authors have no competing interests to declare.

References

  1. Anderson CS, Mahon AD (2007) The relationship between ventilatory and lactate thresholds in boys and men. Res Sports Med 15:189–200CrossRefPubMedGoogle Scholar
  2. Bearden SE, Moffatt RJ (2001) Leg electromyography and the VO2-power relationship during bicycle ergometry. Med Sci Sports Exerc 33:1241–1245CrossRefPubMedGoogle Scholar
  3. Beneke R, Hutler M, Leithauser RM (2007) Anaerobic performance and metabolism in boys and male adolescents. Eur J Appl Physiol 101:671–677CrossRefPubMedGoogle Scholar
  4. Blimkie CJ (1989) Age- and sex-associated variation in strength during childhood: anthropometric, morphologic, neurologic, biomechanical, endocrinologic, genetic, and physical activity correlates. In: Gisolfi CV (ed) Perspectives in exercise science and sports medicine, vol 2., Youth, exercise and sportsBenchmark Press, Indianapolis, pp 99–163Google Scholar
  5. Candotti CT, Loss JF, Melo Mde O, La Torre M, Pasini M, Dutra LA, de Oliveira JL, de Oliveira LP (2008) Comparing the lactate and EMG thresholds of recreational cyclists during incremental pedaling exercise. Can J Physiol Pharmacol 86:272–278CrossRefPubMedGoogle Scholar
  6. Chwalbinska-Moneta J, Hanninen O, Penttila I (1994) Relationships between EMG and blood lactate accumulation during incremental exercise in endurance- and speed-trained athletes. Clin J Sports Med 4:31–38CrossRefGoogle Scholar
  7. Chwalbinska-Moneta J, Kaciuba-Uscilko H, Krysztofiak H, Ziemba A, Krzeminski K, Kruk B, Nazar K (1998) Relationship between EMG blood lactate, and plasma catecholamine thresholds during graded exercise in men. J Physiol Pharmacol 49:433–441PubMedGoogle Scholar
  8. Costill DL, Fink WJ, Pollock ML (1976) Muscle fiber composition and enzyme activities of elite distance runners. Med Sci Sports 8:96–100PubMedGoogle Scholar
  9. Dotan R, Mitchell C, Cohen R, Klentrou P, Gabriel D, Falk B (2012) Child-adult differences in muscle activation—a review. Pediatr Exerc Sci 24:2–21PubMedCentralPubMedGoogle Scholar
  10. Edwards RG, Lippold OC (1956) The relation between force and integrated electrical activity in fatigued muscle. J Physiol 132:677–681CrossRefPubMedCentralPubMedGoogle Scholar
  11. Falk B, Usselman C, Dotan R, Brunton L, Klentrou P, Shaw J, Gabriel D (2009) Child-adult differences in muscle strength and activation pattern during isometric elbow flexion and extension. Appl Physiol Nutr Metab 34:609–615CrossRefPubMedCentralPubMedGoogle Scholar
  12. Farina D, Macaluso A, Ferguson RA, De Vito G (2004) Effect of power, pedal rate, and force on average muscle fiber conduction velocity during cycling. J Appl Physiol 97:2035–2041CrossRefPubMedGoogle Scholar
  13. Godin G, Shephard RJ (1985) A simple method to assess exercise behavior in the community. Can J Appl Sport Sci 10:141–146PubMedGoogle Scholar
  14. Greig C, Sargeant AJ, Vollestad NK (1985) Muscle force and fibre recruitment during dynamic exercise in man. J Physiol Lond 371:176PGoogle Scholar
  15. Halin R, Germain P, Bercier S, Kapitaniak B, Buttelli O (2003) Neuromuscular response of young boys versus men during sustained maximal contraction. Med Sci Sports Exerc 35:1042–1048CrossRefPubMedGoogle Scholar
  16. Henneman E, Somjen G, Carpenter DO (1965) Functional significance of cell size in spinal motoneurons. J Neurophysiol 28:560–580PubMedGoogle Scholar
  17. Hug F, Laplaud D, Savin B, Grelot L (2003) Occurrence of electromyographic and ventilatory thresholds in professional road cyclists. Eur J Appl Physiol 90:643–646CrossRefPubMedGoogle Scholar
  18. Hug F, Decherchi P, Marqueste T, Jammes Y (2004) EMG versus oxygen uptake during cycling exercise in trained and untrained subjects. J Electromyogr Kinesiol 14:187–195CrossRefPubMedGoogle Scholar
  19. Hug F, Laplaud D, Lucia A, Grelot L (2006a) A comparison of visual and mathematical detection of the electromyographic threshold during incremental pedaling exercise: a pilot study. J Strength Condition Res/Natl Strength Condition Assoc 20:704–708Google Scholar
  20. Hug F, Laplaud D, Lucia A, Grelot L (2006b) EMG threshold determination in eight lower limb muscles during cycling exercise: a pilot study. Int J Sports Med 27:456–462CrossRefPubMedGoogle Scholar
  21. Klentrou N, Nishio M-L, Plyley M (2006) Ventilatory breakpoints in boys and men. Pediatr Exerc Sci 18:216–225Google Scholar
  22. Lucia A, Sanchez O, Carvajal A, Chicharro JL (1999) Analysis of the aerobic-anaerobic transition in elite cyclists during incremental exercise with the use of electromyography. Br J Sports Med 33:178–185CrossRefPubMedCentralPubMedGoogle Scholar
  23. Maestu J, Cicchella A, Purge P, Ruosi S, Jurimae J, Jurimae T (2006) Electromyographic and neuromuscular fatigue thresholds as concepts of fatigue. J Strength Condition Res Natl Strength Condition Assoc 20:824–828Google Scholar
  24. Mirwald RL, Baxter-Jones AD, Bailey DA, Beunen GP (2002) An assessment of maturity from anthropometric measurements. Med Sci Sports Exerc 34:689–694CrossRefPubMedGoogle Scholar
  25. Miyashita M, Kanehisa H (1980) Correlation between efficiency in cycling and maximal power of human extensor muscles. J Sports Med Phys Fitness 20:365–370PubMedGoogle Scholar
  26. Moritani T, deVries HA (1978) Reexamination of the relationship between the surface integrated electromyogram (IEMG) and force of isometric contraction. Am J Phys Med 57:263–277PubMedGoogle Scholar
  27. Moritani T, Tanaka H, Yoshida T, Ishii C, Yoshida T, Shindo M (1984) Relationship between myoelectric signals and blood lactate during incremental forearm exercise. Am J Phys Med 63:122–132PubMedGoogle Scholar
  28. Moritani T, Takaishi T, Matsumoto T (1993) Determination of maximal power output at neuromuscular fatigue threshold. J Appl Physiol 74:1729–1734PubMedGoogle Scholar
  29. Nagata A, Muro M, Moritani T, Yoshida T (1981) Anaerobic threshold determination by blood lactate and myoelectric signals. Jpn J Physiol 31:585–597CrossRefPubMedGoogle Scholar
  30. O’Brien TD, Reeves ND, Baltzopoulos V, Jones DA, Maganaris CN (2009) The effects of agonist and antagonist muscle activation on the knee extension moment-angle relationship in adults and children. Eur J Appl Physiol 106:849–856CrossRefPubMedGoogle Scholar
  31. O’Brien TD, Reeves ND, Baltzopoulos V, Jones DA, Maganaris CN (2010) In vivo measurements of muscle specific tension in adults and children. Exp Physiol 95:202–210CrossRefPubMedGoogle Scholar
  32. Petrofsky JS (1979) Frequency and amplitude analysis of the EMG during exercise on the bicycle ergometer. Eur J Appl Physiol Occup Physiol 41:1–15CrossRefPubMedGoogle Scholar
  33. Ryan MM, Gregor RJ (1992) EMG profiles of lower extremity muscles during cycling at constant workload and cadence. J Electromyogr Kinesiol 2:69–80CrossRefPubMedGoogle Scholar
  34. Sargeant AJ, Hoinville E, Young A (1981) Maximum leg force and power output during short-term dynamic exercise. J Appl Physiol Respir Environ Exerc Physiol 51:1175–1182PubMedGoogle Scholar
  35. Simon J, Young JL, Blood DK, Segal KR, Case RB, Gutin B (1986) 1986 Plasma lactate and ventilation thresholds in trained and untrained cyclists. J Appl Physiol 60:777–781PubMedGoogle Scholar
  36. Simon G, Berg A, Simon-Alt A, Keul J (1981) Determination of the anaerobic threshold depending on age and performance potential. Dtsch Z Sportsmed 32:7–14Google Scholar
  37. Slaughter MH, Lohman TG, Boileau BA (1988) Skinfold equations for estimation of body fatness in children and youth. Hum Biol 60:709–723PubMedGoogle Scholar
  38. Takaishi T, Ono T, Yasuda Y (1992) Relationship between muscle fatigue and oxygen uptake during cycle ergometer exercise with different ramp slope increments. Eur J Appl Physiol Occup Physiol 65:335–339CrossRefPubMedGoogle Scholar
  39. Tanaka H, Shindo M (1985) Running velocity at blood lactate threshold of boys aged 6-15 years compared with untrained and trained young males. Int J Sports Med 6:90–94CrossRefPubMedGoogle Scholar
  40. Tanner JM (1962) Growth at adolescence. Blackwell Scientific Publications, OxfordGoogle Scholar
  41. Taylor AD, Bronks R (1994) Electromyographic correlates of the transition from aerobic to anaerobic metabolism in treadmill running. Eur J Appl Physiol Occup Physiol 69:508–515CrossRefPubMedGoogle Scholar
  42. Tikkanen O, Hu M, Vilavuo T, Tolvanen P, Cheng S, Finni T (2012) Ventilatory threshold during incremental running can be estimated using EMG shorts. Physiol Meas 33:603–614CrossRefPubMedGoogle Scholar
  43. Van Praagh E, Dore E (2002) Short-term muscle power during growth and maturation. Sports Med 32:701–728CrossRefPubMedGoogle Scholar
  44. Viitasalo JT, Luhtanen P, Rahkila P, Rusko H (1985) Electromyographic activity related to aerobic and anaerobic threshold in ergometer bicycling. Acta Physiol Scand 124:287–293CrossRefPubMedGoogle Scholar
  45. Vollestad NK, Blom PC (1985) Effect of varying exercise intensity on glycogen depletion in human muscle fibres. Acta Physiol Scand 125:395–405CrossRefPubMedGoogle Scholar
  46. Vollestad NK, Vaage O, Hermansen L (1984) Muscle glycogen depletion patterns in type I and subgroups of type II fibres during prolonged severe exercise in man. Acta Physiol Scand 122:433–441CrossRefPubMedGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Brynlynn Pitt
    • 1
  • Raffy Dotan
    • 1
    Email author
  • Jordan Millar
    • 1
  • Devon Long
    • 1
  • Craig Tokuno
    • 2
  • Thomas O’Brien
    • 3
  • Bareket Falk
    • 2
  1. 1.Applied Physiology Laboratory, Faculty of Applied Health SciencesBrock UniversitySt. CatharinesCanada
  2. 2.Department of Kinesiology, Faculty of Applied Health SciencesBrock UniversitySt. CatharinesCanada
  3. 3.Research Institute for Sport and Exercise Sciences, Faculty of ScienceLiverpool John Moores UniversityLiverpoolUK

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