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Int J Sports Med 2021; 42(10): 905-910
DOI: 10.1055/a-1343-2127
Training & Testing

Using a Portable Near-infrared Spectroscopy Device to Estimate The Second Ventilatory Threshold

Víctor Rodrigo-Carranza 
1   Department of Physical Activity and Sports Sciences, Sport Training Lab, University of Castilla-La Mancha, Toledo, Spain
,
Fernando González-Mohíno 
2   Facultad de Educación y Lenguas, Universidad Nebrija, Madrid, Spain
3   Department of Sport, PE and Health Sciences, University of Edinburgh, Edinburgh, United Kingdom
,
Anthony P. Turner
3   Department of Sport, PE and Health Sciences, University of Edinburgh, Edinburgh, United Kingdom
,
Sergio Rodriguez-Barbero
1   Department of Physical Activity and Sports Sciences, Sport Training Lab, University of Castilla-La Mancha, Toledo, Spain
,
José María González-Ravé 
1   Department of Physical Activity and Sports Sciences, Sport Training Lab, University of Castilla-La Mancha, Toledo, Spain
› Institutsangaben Funding: The authors of this study received no funding for this investigation.
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Abstract

A breakpoint in a portable near-infrared spectroscopy (NIRS) derived deoxygenated haemoglobin (deoxy[Hb]) signal during an incremental VO2max running test has been associated with the second ventilatory threshold (VT2) in healthy participants. Thus, the aim was to examine the association between this breakpoint (NIRS) and VT2 in well-trained runners. Gas exchange and NIRS data were collected during an incremental VO2max running test for 10 well-trained runners. The breakpoint calculated in oxygen saturation (StO2) and the VT2 were determined and compared in terms relative to %VO2max, absolute speed, VO2, and maximum heart rate (HRmax). There were no significant differences (p>0.05) between the breakpoint in StO2 and VT2 relative to %VO2max (87.00±6.14 and 88.28 ± 3.98 %), absolute speed (15.70±1.42 and 16.10±1.66 km·h−1), VO2 (53.71±15.17 and 54.66±15.57 ml·kg−1·min−1), and%HRmax (90.90±4.17 and 91.84±3.70%). There were large and significant correlations between instruments relative to%VO2max (r=0.68, p<0.05), absolute speed (r=0.86, p<0.001), VO2 (r=0.86, p<0.001), and %HRmax (r=0.69; p<0.05). A Bland and Altman analysis of agreement between instruments resulted in a mean difference of − 1.27±4.49%, −0.40±0.84 km·h−1,−0.90±3.07 ml·kg−1·min−1, and − 0.94±3.14 for %VO2max, absolute speed, VO2, and %HRmax, respectively. We conclude that a portable NIRS determination of the StO2 breakpoint is comparable with VT2 using gas exchange and therefore appropriate for use in determining exercise training above VT2 intensity. This is the first study to analyze the validity with the running mode using a NIRS portable device.

Key words

intramuscular oxygenation - gas exchange threshold - incremental running test - athletes - exercise intensity


Publikationsverlauf

Eingereicht: 01. August 2020

Angenommen: 14. Dezember 2020

Artikel online veröffentlicht:
01. Februar 2021

© 2021. Thieme. All rights reserved.

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  • References

  • 1 Fontana FY, Keir DA, Bellotti C. et al. Determination of respiratory point compensation in healthy adults: Can non-invasive near-infrared spectroscopy help?. J Sci Med Sport 2015; 18: 590-595 DOI: 10.1016/j.jsams.2014.07.016.
    CrossrefPubMedGoogle Scholar
  • 2 Seiler S. What is best practice for training intensity and duration distribution in endurance athletes?. Int J Sports Physiol Perform 2010; 5: 276-291
    CrossrefPubMedGoogle Scholar
  • 3 Seiler KS, Kjerland GØ. Quantifying training intensity distribution in elite endurance athletes: Is there evidence for an “optimal” distribution?. Scand J Med Sci Sports 2006; 16: 49-56 doi:10.1111/j.1600-0838.2004.00418.x
    CrossrefPubMedGoogle Scholar
  • 4 Pallarés JG, Morán-Navarro R, Ortega JF. et al. Validity and reliability of ventilatory and blood lactate thresholds in well-trained cyclists. PLoS One 2016; 11: e0163389 DOI: 10.1371/journal.pone.0163389.
    Google Scholar
  • 5 Snyder A, Parmenter M. Using near-infrared spectroscopy to determine maximal steady state exercise intensity. J Strength Cond Res 2009; 23: 1833-1840
    CrossrefPubMedGoogle Scholar
  • 6 Farzam P, Starkweather Z, Franceschini MA. Validation of a novel wearable, wireless technology to estimate oxygen levels and lactate threshold power in the exercising muscle. Physiol Rep 2018; 6: e13664 DOI: 10.14814/phy2.13664.
    CrossrefPubMedGoogle Scholar
  • 7 Hamaoka T, McCully KK. Review of early development of near-infrared spectroscopy and recent advancement of studies on muscle oxygenation and oxidative metabolism. J Physiol Sci 2019; 69: 799-811 DOI: 10.1007/s12576-019-00697-2.
    CrossrefPubMedGoogle Scholar
  • 8 Perrey S, Ferrari M. Muscle oximetry in sports science: A systematic review. Sports Med 2018; 48: 597-616 doi:10.1007/s40279-017-0820-1
    CrossrefPubMedGoogle Scholar
  • 9 Iannetta D, Qahtani A, Mattioni Maturana F. et al. The near-infrared spectroscopy-derived deoxygenated hemoglobin breaking-point is a repeatable measure that demarcates exercise intensity domains. J Sci Med Sport 2017; 20: 873-877 DOI: 10.1016/j.jsams.2017.01.237.
    CrossrefPubMedGoogle Scholar
  • 10 Harriss D, Macsween A, Atkinson G. Ethical standards in sport and exercise science research: 2020 update. 2019; 40: 813-817
    PubMedGoogle Scholar
  • 11 Jones A, Doust J. A 1% treadmill grade most accurately reflects the energetic cost of outdoor running. J Sports Sci 1996; 14: 321-327 doi:10.1080/026404196367796
    CrossrefPubMedGoogle Scholar
  • 12 Lucia A, Esteve-Lanao J, Oliván J. et al. Physiological characteristics of the best Eritrean runners – exceptional running economy. Appl Physiol Nutr Metab 2006; 31: 530-540 DOI: 10.1139/H06-029.
    CrossrefPubMedGoogle Scholar
  • 13 Howley ET, Bassett DR, Welch H. Criteria for maximal oxygen uptake: review and commentary. Med Sci Sports Exerc 1995; 29: 591-603
    PubMedGoogle Scholar
  • 14 Winter EM, Jones AM, Davison R. et al. Sport and Exercise Physiology Testing Guidelines. Volume I. Abingdon: Routledge; 2007
    Google Scholar
  • 15 Reinhard U, Müller PH, Schmülling R-M. Determination of anaerobic threshold by the ventilation equivalent in normal individuals. Respiration 1979; 38: 36-42 doi:10.1159/000194056
    CrossrefPubMedGoogle Scholar
  • 16 Wasserman K, Hansen JE, Sue DY. et al. Principles of exercise testing and interpretation. J Cardiopulm Rehabil Prev 1987; 7: 189
    CrossrefPubMedGoogle Scholar
  • 17 Turnes T, dos Santos RP, de Aguiar RA. et al. Association between deoxygenated hemoglobin breaking point, anaerobic threshold, and rowing performance. Int J Sports Physiol Perform 2019; 14: 1103-1109 DOI: 10.1123/ijspp.2018-0675.
    CrossrefPubMedGoogle Scholar
  • 18 Belardinelli R, Barstow TJ, Porszasz J. et al. Changes in skeletal muscle oxygenation during incremental exercise measured with near infrared spectroscopy. Eur J Appl Physiol Occup Physiol 1995; 70: 487-492 DOI: 10.1007/BF00634377.
    CrossrefPubMedGoogle Scholar
  • 19 DeLorey DS, Kowalchuk JM, Paterson DH. Relationship between pulmonary O2 uptake kinetics and muscle deoxygenation during moderate-intensity exercise. J Appl Physiol (1985) 2003; 95: 113-120 doi:10.1152/japplphysiol.00956.2002
    CrossrefPubMedGoogle Scholar
  • 20 Bland JM, Altman D. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986; 1: 307-310 doi:10.1016/S0140-6736(86)90837-8
    CrossrefPubMedGoogle Scholar
  • 21 Atkinson G, Nevill A. Statistical methods for assessing measurement error (reliability) in variables relevant to sports medicine. Sports Med 1998; 26: 217-238 doi:10.1049/ic:19970197
    CrossrefPubMedGoogle Scholar
  • 22 Keir DA, Fontana FY, Robertson TC. et al. Exercise intensity thresholds: identifying the boundaries of sustainable performance. Med Sci Sports Exerc 2015; 47: 1932-1940 DOI: 10.1249/MSS.0000000000000613.
    CrossrefPubMedGoogle Scholar
  • 23 Vesterinen V, Hokka L, Hynynen E. et al. Heart rate-running speed index may be an efficient method of monitoring endurance training adaptation. J Strength Cond Res 2014; 28: 902-908
    CrossrefPubMedGoogle Scholar
  • 24 Billat LV. Use of blood lactate measurements for prediction of exercise performance and for control of training. Recommendations for long-distance running. Sports Med 1996; 22: 157-175 DOI: 10.2165/00007256-199622030-00003.
    CrossrefPubMedGoogle Scholar
  • 25 Saunders PU, Garvican-Lewis LA, Schmidt WF. et al. Relationship between changes in hemoglobin mass and maximal oxygen uptake after hypoxic exposure. Br J Sports Med 2013; 47 Suppl 1: i26–i30 DOI: 10.1136/bjsports-2013-092841.
    CrossrefPubMedGoogle Scholar