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Multifactorial cycling performance of Cyclists and Non-Cyclists and their effect on skin temperature

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Abstract

Although some studies showed a relationship between skin temperature and physical fitness, it is unclear if cycling experience could have an influence on thermoregulation. The aims of this study were to compare differences in skin temperature between Cyclists and Non-Cyclists and to assess the relationship between varying performance factors and skin temperature. Eleven Cyclists and eleven Non-Cyclists performed an incremental cycling test to exhaustion. Body composition, power output, oxygen consumption, heart rate, neuromuscular activation and skin temperature from Vastus Lateralis, Rectus Femoris, Biceps Femoris and Gastrocnemius Medialis were measured. Cyclists presented lower percentage body fat, greater peak power output and higher oxygen consumption (P < 0.01 and ES > 1.4), resulting in a higher heat production (P < 0.01 and ES = 1.6) and therefore higher skin temperatures in knee extensors than Non-Cyclists (P < 0.01 and ES > 1.1). Skin temperature was negatively correlated with body fat and positively correlated with peak power output and heat production (P < 0.05 and ∣r∣ ≥ 0.5). Skin temperature was influenced by cycling training profile and participants with a higher physical fitness (i.e., higher peak power output) presented higher heat production and higher skin temperature. Furthermore, percentage body fat was one of the variables that largely explained the relationship between physical fitness and skin temperature.

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Abbreviations

∆Skin temperature:

Variation in skin temperature

%VO2max :

Maximum relative oxygen consumption

BF:

Biceps Femoris

EMG:

Surface electromyography

GM:

Gastrocnemius Medialis

H prod :

Heat production

HR:

Heart rate

POpeak :

Peak power output

PO/kg:

Relative power output

RF:

Rectus Femoris

ROI:

Region of interest

VL:

Vastus Lateralis

VO2max :

Maximum oxygen consumption

VT1 :

Ventilatory threshold 1

VT2 :

Ventilatory threshold 2

References

  1. Faria EW, Parker DL, Faria IE. The science of cycling: physiology and training—part 1. Sports Med (Auckl. NZ). 2005;35:285–312.

    Article  Google Scholar 

  2. Bentley DJ, Newell J, Bishop D. Incremental exercise test design and analysis: implications for performance diagnostics in endurance athletes. Sports Med (Auckl. NZ). 2007;37:575–86.

    Article  Google Scholar 

  3. Coyle EF, Feltner ME, Kautz SA, Hamilton MT, Montain SJ, Baylor AM, et al. Physiological and biomechanical factors associated with elite endurance cycling performance. Med Sci Sports Exerc. 1991;23:93–107.

    Article  CAS  Google Scholar 

  4. Lucía A, Hoyos J, Pardo J, Chicharro JL. Metabolic and neuromuscular adaptations to endurance training in professional Cyclists: a Longitudinal Study. Jpn J Physiol. 2000;50:381–8.

    Article  Google Scholar 

  5. da Penteado VSR, Castro CH, Pinheiro MM, Santana M, Bertolino S, Mello MT, et al. Diet, body composition, and bone mass in well-trained Cyclists. J Clin Densitom. 2010;13:43–50.

    Article  Google Scholar 

  6. Bertucci W, Arfaoui A, Janson L, Polidori G. Relationship between the gross efficiency and muscular skin temperature of lower limb in cycling: a preliminary study. Comput Methods Biomech Biomed Eng. 2013;16(Suppl 1):114–5.

    Article  Google Scholar 

  7. Priego Quesada JI, Carpes FP, Bini RR, Salvador Palmer R, Pérez-Soriano P, de Anda RMCO. Relationship between skin temperature and muscle activation during incremental cycle exercise. J Therm Biol. 2015;48:28–35.

    Article  Google Scholar 

  8. Cholewka A, Kasprzyk T, Stanek A, Sieroń-Stoltny K, Drzazga Z. May thermal imaging be useful in cyclist endurance tests? J Therm Anal Calorim. 2016;123:1973–9.

    Article  CAS  Google Scholar 

  9. Chudecka M, Lubkowska A. Temperature changes of selected body’s surfaces of handball players in the course of training estimated by thermovision, and the study of the impact of physiological and morphological factors on the skin temperature. J Therm Biol. 2010;35:379–85.

    Article  Google Scholar 

  10. Akimov EB, Sonkin VD. Skin temperature and lactate threshold during muscle work in athletes. Hum Physiol. 2011;37:621–8.

    Article  CAS  Google Scholar 

  11. Ichinose-Kuwahara T, Inoue Y, Iseki Y, Hara S, Ogura Y, Kondo N. Sex differences in the effects of physical training on sweat gland responses during a graded exercise. Exp Physiol. 2010;95:1026–32.

    Article  Google Scholar 

  12. Savastano DM, Gorbach AM, Eden HS, Brady SM, Reynolds JC, Yanovski JA. Adiposity and human regional body temperature. Am J Clin Nutr. 2009;90:1124–31.

    Article  CAS  Google Scholar 

  13. Simmons GH, Wong BJ, Holowatz LA, Kenney WL. Changes in the control of skin blood flow with exercise training: Where do cutaneous vascular adaptations fit in? Exp Physiol. 2011;96:822–8.

    Article  Google Scholar 

  14. Ansley L, Cangley P. Determinants of “optimal” cadence during cycling. Eur. J Sport Sci. 2009;9:61–85.

    Article  Google Scholar 

  15. Fields DA, Hunter GR, Goran MI. Validation of the BOD POD with hydrostatic weighing: influence of body clothing. Int J Obes. 2000;24:200–2055.

    Article  CAS  Google Scholar 

  16. Denadai BS, Figueira TR, Figuera TR, Favaro ORP, Gonçalves M. Effect of the aerobic capacity on the validity of the anaerobic threshold for determination of the maximal lactate steady state in cycling. Braz J Med Biol Res (Rev. Bras. Pesqui. Médicas E Biológicas Soc. Bras. Biofísica Al). 2004;37:1551–6.

    CAS  Google Scholar 

  17. González-Haro C. Differences in physiological responses between short- vs. long-graded laboratory tests in road Cyclists. J Strength Cond Res. 2015;29:1040–8.

    Article  Google Scholar 

  18. Hildebrandt C, Raschner C, Ammer K. An overview of recent application of medical infrared thermography in sports medicine in Austria. Sensors. 2010;10:4700–15.

    Article  Google Scholar 

  19. Ring EFJ, Ammer K. The technique of infrared imaging in medicine. Thermol Int. 2000;10:7–14.

    Google Scholar 

  20. Steketee J. Spectral emissivity of skin and pericardium. Phys Med Biol. 1973;18:686.

    Article  CAS  Google Scholar 

  21. Taylor HL, Buskirk E, Henschel A. Maximal oxygen intake as an objective measure of cardio-respiratory performance. J Appl Physiol. 1955;8:73–80.

    CAS  Google Scholar 

  22. Cramer MN, Jay O. Selecting the correct exercise intensity for unbiased comparisons of thermoregulatory responses between groups of different mass and surface area. J Appl Physiol. 2014;116:1123–32.

    Article  Google Scholar 

  23. Hermens HJ, Freriks B, Merletti R, Stegeman D, Blok J, Rau G, et al. European recommendations for surface electromyography. Roessingh Res Dev. 1999;8:13–54.

    Google Scholar 

  24. De Luca CJ. The use of surface electromyography in biomechanics. J Appl Biomech. 1997;13:135–63.

    Article  Google Scholar 

  25. Malek MH, Housh TJ, Coburn JW, Weir JP, Schmidt RJ, Beck TW. The effects of interelectrode distance on electromyographic amplitude and mean power frequency during incremental cycle ergometry. J Neurosci Methods. 2006;151:139–47.

    Article  Google Scholar 

  26. Sinclair J, Taylor PJ, Hebron J, Brooks D, Hurst HT, Atkins S. The reliability of electromyographic normalization methods for cycling analyses. J Hum Kinet. 2015;46:19–27.

    Article  Google Scholar 

  27. Cohen J. Statistical power analysis for the behavioral sciences [Internet]. Mahwah: Lawrence Erlbaum; 1988.

    Google Scholar 

  28. Coyle EF, Sidossis LS, Horowitz JF, Beltz JD. Cycling efficiency is related to the percentage of type I muscle fibers. Med Sci Sports Exerc. 1992;24:782–8.

    CAS  Google Scholar 

  29. Abate M, Di Carlo L, Di Donato L, Romani GL, Merla A. Comparison of cutaneous termic response to a standardised warm up in trained and untrained individuals. J Sports Med Phys Fitness. 2013;53:209–15.

    CAS  Google Scholar 

  30. Formenti D, Ludwig N, Gargano M, Gondola M, Dellerma N, Caumo A, et al. Thermal imaging of exercise-associated skin temperature changes in trained and untrained female subjects. Ann Biomed Eng. 2013;41:863–71.

    Article  Google Scholar 

  31. Gotshall RW, Bauer TA, Fahrner SL. Cycling cadence alters exercise hemodynamics. Int J Sports Med. 1996;17:17–21.

    Article  CAS  Google Scholar 

  32. Zorgati H, Collomp K, Amiot V, Prieur F. Effect of pedal cadence on the heterogeneity of muscle deoxygenation during moderate exercise. Appl Physiol Nutr Metab (Physiol. Appliquée Nutr. Métabolisme). 2013;38:1206–10.

    Article  CAS  Google Scholar 

  33. Johnson W, de Ruiter I, Kyvik KO, Murray AL, Sørensen TIA. Genetic and environmental transactions underlying the association between physical fitness/physical exercise and body composition. Behav Genet. 2014.

  34. Ammer K. Does neuromuscular thermography record nothing else but an infrared sympathetic skin response? Thermol Int. 2009;19:107–8.

    Google Scholar 

  35. Priego Quesada JI, Martínez Guillamón N, Ortiz Cibrián, de Anda RM, Psikuta A, Annaheim S, Rossi RM, et al. Effect of perspiration on skin temperature measurements by infrared thermography and contact thermometry during aerobic cycling. Infrared Phys Technol. 2015;72:68–76.

    Article  Google Scholar 

  36. Nybo L. Cycling in the heat: performance perspectives and cerebral challenges. Scand J Med Sci Sports. 2010;20(Suppl 3):71–9.

    Article  Google Scholar 

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Acknowledgements

The work of the first author was funded with a doctoral fellowship (FPU) received from the Spanish Ministry of Education, Culture and Sport. The Foundation of the Amazonas State Research by awarding grants to researchers. The authors would like to thank the participants for their valuable contributions and support. The authors declare that they have no conflict of interest.

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Correspondence to Jose Ignacio Priego Quesada.

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Priego Quesada, J.I., Sampaio, L.T., Bini, R.R. et al. Multifactorial cycling performance of Cyclists and Non-Cyclists and their effect on skin temperature. J Therm Anal Calorim 127, 1479–1489 (2017). https://doi.org/10.1007/s10973-016-5971-z

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  • DOI: https://doi.org/10.1007/s10973-016-5971-z

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