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Int J Sports Med 2016; 37(02): 112-118
DOI: 10.1055/s-0035-1555776
Training & Testing
© Georg Thieme Verlag KG Stuttgart · New York

Anaerobic Threshold by Mathematical Model in Healthy and Post-Myocardial Infarction Men

L. D. Novais
1   Department of Physical Therapy, Cardiovascular Physical Therapy Laboratory, Nucleus of Research in Physical Exercise, Federal University of Sao Carlos – UFSCar, Sao Carlos, Sao Paulo, Brazil
2   Department of Physical Therapy, Federal University of Triangulo Mineiro, Uberaba, Minas Gerais, Brazil
,
E. Silva
1   Department of Physical Therapy, Cardiovascular Physical Therapy Laboratory, Nucleus of Research in Physical Exercise, Federal University of Sao Carlos – UFSCar, Sao Carlos, Sao Paulo, Brazil
,
R. P. Simões
1   Department of Physical Therapy, Cardiovascular Physical Therapy Laboratory, Nucleus of Research in Physical Exercise, Federal University of Sao Carlos – UFSCar, Sao Carlos, Sao Paulo, Brazil
,
D. I. Sakabe
1   Department of Physical Therapy, Cardiovascular Physical Therapy Laboratory, Nucleus of Research in Physical Exercise, Federal University of Sao Carlos – UFSCar, Sao Carlos, Sao Paulo, Brazil
3   Department of Physical Therapy, Integrated College Einstein of Limeira, Limeira, Sao Paulo, Brazil
,
L. E. B. Martins
4   Laboratory of Exercise Physiology, Faculty of Physical Education, Estadual University of Campinas, Campinas, Sao Paulo, Brazil
,
L. Oliveira
1   Department of Physical Therapy, Cardiovascular Physical Therapy Laboratory, Nucleus of Research in Physical Exercise, Federal University of Sao Carlos – UFSCar, Sao Carlos, Sao Paulo, Brazil
,
C. A. R. Diniz
5   Department of Statistics, Federal University of Sao Carlos, Sao Carlos, Sao Paulo, Brazil
,
L. Gallo Jr
6   Department of Clinical Medicine, Laboratory of Exercise Physiology, Division of Cardiology, Faculty of Medicine of Ribeirao Preto, University of Sao Paulo, Ribeirao Preto, Brazil
,
A. M. Catai
1   Department of Physical Therapy, Cardiovascular Physical Therapy Laboratory, Nucleus of Research in Physical Exercise, Federal University of Sao Carlos – UFSCar, Sao Carlos, Sao Paulo, Brazil
› Author Affiliations
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Publication History



accepted after revision 27 May 2015

Publication Date:
28 October 2015 (online)

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Abstract

The aim of this study was to determine the anaerobic threshold (AT) in a population of healthy and post-myocardial infarction men by applying Hinkley’s mathematical method and comparing its performance to the ventilatory visual method. This mathematical model, in lieu of observer-dependent visual determination, can produce more reliable results due to the uniformity of the procedure. 17 middle-aged men (55±3 years) were studied in 2 groups: 9 healthy men (54±2 years); and 8 men with previous myocardial infarction (57±3 years). All subjects underwent an incremental ramp exercise test until physical exhaustion. Breath-by-breath ventilatory variables, heart rate (HR), and vastus lateralis surface electromyography (sEMG) signal were collected throughout the test. Carbon dioxide output (V˙CO2), HR, and sEMG were studied, and the AT determination methods were compared using correlation coefficients and Bland-Altman plots. Parametric statistical tests were applied with significance level set at 5%. No significant differences were found in the HR, sEMG, and ventilatory variables at AT between the different methods, such as the intensity of effort relative to AT. Moreover, important concordance and significant correlations were observed between the methods. We concluded that the mathematical model was suitable for detecting the AT in both healthy and myocardial infarction subjects.

Key words

exercise - oxygen uptake - surface electromyography - coronary artery disease
 

  • References

  • 1 Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986; 1: 307-310
    PubMedSearch in Google Scholar
  • 2 Bunc V, Hofmann P, Leitner H, Gaisl G. Verification of the heart rate threshold. Eur J Appl Physiol 1995; 70: 263-269
    CrossrefPubMedSearch in Google Scholar
  • 3 Crescêncio JC, Martins LEB, Murta Jr LO, Antloga CM, Kozuki RT, Santos MDS, Marun Neto JA, Maciel BC, Gallo Jr L. Measurement of anaerobic threshold during dynamic exercise in healthy subjects: Comparison among visual analysis and mathematical models. Comput Cardiol 2003; 30: 801-804
    PubMedSearch in Google Scholar
  • 4 Fletcher GF, Balady G, Blair SN, Blumenthal J, Caspersen C, Chaitman B, Epstein S, Sivarajan Froelicher ES, Froelicher VF, Pina IL, Pollock ML. Statement on exercise: benefits and recommendations for physical activity programs for all Americans. A statement for health professionals by the Committee on Exercise and Cardiac Rehabilitation of the Council on Clinical Cardiology, American Heart Association. Circulation. 1996. 94. 857-862
    Search in Google Scholar
  • 5 Grazzi G, Mazzoni G, Casoni I, Uliari S, Collini G, Heide Lv, Conconi F. Identification of a VO2 deflection point coinciding with the heart rate deflection point and ventilatory threshold in cycling. J Strength Cond Res 2008; 22: 1116-1123
    CrossrefPubMedSearch in Google Scholar
  • 6 Hanon C, Thépaut-Mathieu C, Hausswirth C, Le Chevalier JM. Electromyogram as an indicator of neuromuscular fatigue during incremental exercise. Eur J Appl Physiol 1998; 78: 315-323
    CrossrefPubMedSearch in Google Scholar
  • 7 Harriss DJ, Atkinson G. Ethical standards in sport and exercise science research: 2014 update. Int J Sports Med 2013; 34: 1025-1028
    Thieme ConnectPubMedSearch in Google Scholar
  • 8 Hermens HJ, Freriks B, Disselhorst-Klug C, Rau G. Development of recommendations for SEMG sensors and sensor placement procedures. J Electromyogr Kinesiol 2000; 10: 361-374
    CrossrefPubMedSearch in Google Scholar
  • 9 Higa MN, Silva E, Neves VFC, Catai AM, Gallo Jr L, Silva de Sá MF. Comparison of anaerobic threshold determined by visual and mathematical methods in healthy women. Braz J Med Biol Res 2007; 40: 501-508
    CrossrefPubMedSearch in Google Scholar
  • 10 Hofmann P, Bunc V, Leitner H, Pokan R, Gaisl G. Heart rate threshold related to lactate turn point and steady-state exercise on a cycle ergometer. Eur J Applied Physiol 1994; 69: 132-139
    CrossrefPubMedSearch in Google Scholar
  • 11 Hopker JG, Jobson SA, Pandit JJ. Controversies in the physiological basis of the anaerobic threshold and their implications for clinical cardiopulmonary exercise testing. Anaesthesia 2011; 66: 111-123
    CrossrefPubMedSearch in Google Scholar
  • 12 Hug F, Laplaud D, Savin B, Grelot L. Occurrence of electromyographic and ventilatory thresholds in professional road cyclists. Eur J Appl Physiol 2003; 90: 643-646
    CrossrefPubMedSearch in Google Scholar
  • 13 Karapetian GK, Engels HJ, Gretebeck RJ. Use of heart rate variability to estimate LT and VT. Int J Sports Med 2008; 29: 652-657
    Thieme ConnectPubMedSearch in Google Scholar
  • 14 Kodama S, Saito K, Tanaka S, Maki M, Yachi Y, Asumi M, Sugawara A, Totsuka K, Shimano H, Ohashi Y, Yamada N, Sone H. Cardiorespiratory fitness as a quantitative predictor of all-cause mortality and cardiovascular events in healthy men and women: a meta-analysis. JAMA 2009; 301: 2024-2035
    CrossrefPubMedSearch in Google Scholar
  • 15 Meyer T, Görge G, Schwaab B, Hildebrandt K, Walldorf J, Schäfer C, Kindermann I, Scharbag J, Kindermann W. An alternative approach for exercise prescription and efficacy testing in patients with chronic heart failure: a randomized controlled training study. Am Heart J 2005; 149: 926e1-926e7
    CrossrefPubMedSearch in Google Scholar
  • 16 Mikulic P, Vucetic V, Sentija D. Strong relationship between heart rate deflection point and ventilatory threshold in trained rowers. J Strength Cond Res 2011; 25: 360-366
    CrossrefPubMedSearch in Google Scholar
  • 17 Rowell LB. Reflex control of the circulation during exercise. Int J Sports Med 1992; 13: S25-S27
    Thieme ConnectPubMedSearch in Google Scholar
  • 18 Sbriccoli P, Sacchetti M, Felici F, Gizzi L, Lenti M, Scotto A, DeVito GJ. Non-invasive assessment of muscle fiber conduction velocity during an incremental maximal cycling test. Electromyogr Kinesiol 2009; 19: 380-386
    PubMedSearch in Google Scholar
  • 19 Schmid A, Huonker M, Aramendi JF, Kluppel E, Barturen JM, Grathwoh D, Schmidt-Trucksass A, Berg A, Keul J. Heart rate deflection compared to 4 mmol x l(-1) lactate threshold during incremental exercise and to lactate during steady-state exercise on an arm-cranking ergometer in paraplegic athletes. Eur J Appl Physiol 1998; 78: 177-182
    CrossrefPubMedSearch in Google Scholar
  • 20 Silva E, Catai AM, Trevelin LC, Guimarães JO, Silva Jr LP, Silva LMP, Oliveira L, Milan LA, Martins LEB, Gallo Jr L. Design of a computerized system to evaluate the cardiac function during dynamic exercise. In: Proceedings of World Congress of Medical Physics and Biomedical Engineering 1994; 39a: 409-409
    PubMedSearch in Google Scholar
  • 21 Simões RP, Mendes RG, Castello V, Machado HG, Almeida LB, Baldissera V, Catai M, Arena R, Borghi-Silva A. Heart-rate variability and blood-lactate threshold interaction during progressive resistance exercise in healthy older men. J Strength Cond Res 2010; 24: 1313-1320
    CrossrefPubMedSearch in Google Scholar
  • 22 Simões RP, Bonjorno Jr JC, Beltrame T, Catai AM, Arena R, Borghi-Silva A. Slower heart rate and oxygen consumption kinetic responses in the on- and off-transient during a discontinuous incremental exercise: effects of aging. Braz J Phys Ther 2013; 17: 69-76
    CrossrefPubMedSearch in Google Scholar
  • 23 Simões RP, Castello-Simões V, Mendes RG, Archiza B, Santos DA, Machado HG, Bonjorno Jr JC, Oliveira CR, Reis MS, Catai AM, Arena R, Borghi-Silva A. Lactate and heart rate variability threshold during resistance exercise in the young and elderly. Int J Sports Med 2013; 34: 991-996
    Thieme ConnectPubMedSearch in Google Scholar
  • 24 Simões RP, Castello-Simões V, Mendes RG, Archiza B, Dos Santos DA, Bonjorno Jr JC, de Oliveira CR, Catai AM, Arena R, Borghi-Silva A. Identification of anaerobic threshold by analysis of heart rate variability during discontinuous dynamic and resistance exercise protocols in healthy older men. Clin Physiol Funct Imaging 2014; 34: 98-108
    CrossrefPubMedSearch in Google Scholar
  • 25 Soler AM, Folledo M, Martins LEB, Lima-Filho EC, Gallo Jr L. Anaerobic threshold estimation by statistical modelling. Braz J Med Biol 1989; 22: 795-797
    PubMedSearch in Google Scholar
  • 26 Spruit MA, Wouters EF, Eterman RM, Meijer K, Wagers SS, Stakenborg KH, Uszko-Lencer NH. Task-related oxygen uptake and symptoms during activities of daily life in CHF patients and healthy subjects. Eur J Appl Physiol 2011; 111: 1679-1686
    CrossrefPubMedSearch in Google Scholar
  • 27 Zamunér AR, Catai AM, Martins LE, Sakabe DI, Da Silva E. Identification and agreement of first turn point by mathematical analysis applied to heart rate, carbon dioxide output and electromyography. Braz J Phys Ther 2013; 17: 614-622
    CrossrefPubMedSearch in Google Scholar