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Print version ISSN 1517-8692
Rev Bras Med Esporte vol.18 no.3 São Paulo May/June 2012
EXERCISE AND SPORTS SCIENCES
Analysis of the correlation between polar fitness test® protocol and ergospirometry
Moacir MarocoloI ; Octávio Barbosa NetoI; Jeferson Macedo ViannaII; André de Assis LauriaIII; Fábio Lera OrsattiI; Gustavo Ribeiro da MotaI
ISports Sciences Department Federal
University of Triangulo Mineiro UFTM Uberaba, MG, Brazil
IIMaster's Program in Biodynamics of the Human Movement UFJF/UFV Juiz de Fora, MG Viçosa, MG, Brazil
IIIPhysical Education and Sports College Federal University of Juiz de Fora UJFJ Juiz de Fora, MG, Brazil
INTRODUCTION: The importance of maximal
oxygen consumption (O2máx) measurement is justified by its
international acceptance as the best physiological parameter to assess the
functional capacity of the cardiorespiratory system in both athletes and
non-athletes who physically train in order to achieve better health.
OBJECTIVE: To determine the agreement between the Polar Fitness Test® protocols to estimate of O2máx and the maximal exercise test with direct gas measurement.
METHODS: Seventeen active males (22.5 ± 2 years) participated in the study. At rest, the Polar Fitness Test® protocol by direct gas collection under maximum effort on treadmill and the Bruce protocol were applied.
RESULTS: Significant difference in the O2máx estimation was observed between methods. The Polar Fitness Test® protocol underestimated O2máx a mean of 15% (CI95%: 24;-53%) when compared to the direct protocol. The values obtained by the Polar Fitness Test® did not correlate well with direct measurement in ergospirometer (r = 0.1).
CONCLUSION: The Polar Fitness Test® protocol is not valid to estimate O2máx in physically active young men.
Keywords: efficiency, oxygen consumption, ergospirometer, estimation, heart rate.
The importance of the oxygen maximum consumption (O2máx) measurement is justified by its international acceptance as the best physiological parameter for evaluation of the functional capacity of the cardiorespiratory system both in athletes1,2 and in non-athletes who physically train with the goal to obtain better health3. Moreover, it has also been used as basis for the prescription of physical exercises in individuals with non-transmissible chronic diseases such as diabetes4.
Aerobic power can be determined in experimental laboratories through pricy ergometers (treadmills, bicycles, etc) and with direct measurement in spirometers, during exercise5. However, in practice, simple evaluations as the ones performed on benches, tracks or moving treadmills are also efficient, of low cost and of great viability and practicality in their application6-8. The indirect estimations represent a useful instrument available both to the coach and athlete, especially for being based on observations collected in real environment, with all the influence factors being present, rather than in closed laboratory conditions9. However, appropriate measurement devices, reliable and valid, are necessary10. Moreover, it is known that the maximum aerobic power varies according to the body weight, physical activity habits, age and sex5,11.
The protocol called Polar Fitness Test® proposes the prediction of the O2máx testing the individual at rest and is based on the use of the HR variability (HRV). The HRV is the variation which occurs between successive heart beats in sinus rhythm. Since the frequency meter used in the Polar Fitness Test® is able to record the HRV signals, which are obtained from the record of the RR intervals, it is possible to estimate the O2máx. Such estimation occurs due to the traditional physiological effect of the aerobic physical training, which is the highest stimulation of the parasympathetic nervous system at rest. Consequently, there is also increase of the autonomic modulation and of the HRV(12).
Thus, this protocol (Polar Fitness Test®) enables the application of the O2máx test in some situations in which there are not standardized instruments for this purpose and/or in individuals not apt to perform maximal or submaximal tests. It is evident that it would be useful in some occasions.
Therefore, the Polar Fitness Test® protocol estimates the O2máx value from a "artificial neural web", having as entrance variables: age, sex, height, weight, level of physical activity and HRV13.
Data collection through the Polar Fitness Test®, besides being a portable, rapid and cheap method for measurement of the O2máx, can encourage future research. However, comparisons between the direct method with gas analysis and the protocol under consideration which validated it have not been systematically studied. Thus, this study had the aim to verify the concordance between the Polar Fitness Test® protocol for estimation of the O2máx and the maximum exertion test with direct gas analysis, in male, active individuals aged between 19 and 27 years.
MATERIAL AND METHODS
This research was approved by the Ethics in Research in Humans Committee of the Federal University of Juiz de Fora (UFJF) under the document number 171/2008. Additionally, all participants were informed about the aims and potential risks involved in this study and signed the Free and Clarified Consent Form.
In order to participate in the study, the individuals should meet the following inclusion/exclusion criteria: male sex, nonsmoker, not to have cardiovascular diseases and other diseases which could hamper participation in the maximal physical tests and who used any kind of medication at the time of the study. Moreover, the level of physical activity should be classified above 2 according to table 114.
Out of the 29 volunteers, 17 met the criteria described and hence were selected. The sample characterization is illustrated in table 2.
The individuals were initially submitted to anamnesis and anthropometric measurement. After that, they remained at supine position (rest) for five minutes and the Polar Fitness Test® (Polar® frequency meter, model RS800) protocol was applied, which uses age, sex, stature, body mass and level of physical activity by self-evaluation (table 1).
The maximal exertion test on treadmill (KT-10200 ATL, Inbramed®), following the Bruce protocol11,15, using a gas analyzer (Teem 100/Inbrasport®), was performed in the Laboratory of Motor Evaluation of the Physical Education College of the UFJF.
We can mention the time of duration of the stage, constant in three minutes, the work velocity ranging between 1.7 and 6.0MPH (2.73 to 9.65km/h) and constant increase of inclination in 2% (1.8°)11,15 as the most important characteristics of the protocol. It is also an exertion test with a realistic estimation of the maximal aerobic power16. In order to confirm the test as maximal, a secondary criterion was used, namely respiratory exchange (R) above one (1.0)17.
At the end of the maximal exertion test, the following values were recorded: HRmax and O2máxpeak (the highest oxygen uptake value measured during the test17).
In order to analyze the concurrent validity of the prediction method in comparison to the direct method for estimation of the O2máx, the means were compared with the paired Student's t test (95% of significance), Pearson linear correlation and determination correlation (R2) were also used. Concordance between measurements was determined with the use of correlation and intraclass coefficients. Additionally, the mean difference (MD) and the estimation standard error (ESE) between the techniques and the dispersion analysis of the residuals were analyzed.
Table 3 presents the results of the concurrent validity of the prediction method (Polar Fitness Test®) in comparison to the direct method to estimate the O2máx. Significant difference has been found (p < 0.01) between means, where MD = 7.0ml/kg/min. The correlation between the methods was of r = 0.09 (p = 0.742). The R2 indicates that less than 1% of the predicted O2máx was explained by the direct O2máx.
Low concordance level was observed in the estimations, being 0.06 (CI95%: 0.23 to 0.43) and 0.06 (CI95%: 0.27 to 0.37) for the intraclass correlation and concordance coefficients, respectively.
Figure 1 indicates that the mean error between the direct and prediction methods was of 14.8% ± 19.7% and CI95% of 23.9%; 53.4% (concordance threshold).
The aim of this investigation was to verify the concordance between the Polar Fitness Test® and direct maximal exertion tests in physically active men. Our results showed that there is no concordance between the two analyzed protocols.
The test considered gold standard for determination of the O2máxinvolves direct gas exchange analysis17 and this procedure was performed in this study, which provides high reliability to our results. Likewise, for comparison with the Polar Fitness Test® protocol all recommended guidelines have been followed13,14. Concerning the values found in our sample, the O2máx values obtained by the direct method (52.1 ± 6.4mL.kg.min-1) demonstrated that the participants can be really considered physically active18, which is in agreement with our exclusion and inclusion criteria.
According to Kinnunen et al.13, the result of the validation test of the frequency meter presented high correlation coefficient of 0.8 with maximal tests on treadmill. In the present study, the results demonstrated that there was significant difference between the VO2máx means in the methods proposed, direct and prediction by the Polar Fitness Test®. It is important to highlight that the errors in the O2máxestimation by the direct and prediction methods (figure 1) suggest that the means in differences (14.8% ± 19.7%) are high and the O2máx variations are extreme, since 95% of the sample presents error between 24% and 53% (variation of 77%), evidencing hence that the equation proposed by the Polar Fitness Test® is not suitable to estimate the O2máx. Low concordance was confirmed by the correlation and intraclass coefficients. Our results corroborate the findings by Kruel et al.19, who found in 61 physical education students, healthy and non-athletes, aged between 18 and 24 years, high protocol reproducibility, but unfortunately not valid due to its questionable accuracy.
Errors measured by the Polar Fitness Test® may occur because one of the entrance variables (level of physical activity) is self-evaluating (1 to 4) triggering important differences in the O2máxcalculation. Although the Polar Fitness Test® protocol uses the fact established in the literature that the HRV is higher at rest in well-trained individuals when compared to sedentary ones12,20 and therefore, there is correlation between higher O2máx values and HRV at rest, our results showed that such association is not highly accurate. Thus, in situations in which the absolute O2máx values need to be extremely exact, as in high performance athletes, the use of the Polar Fitness Test® seems inappropriate.
Nevertheless, a possible application of the Polar Fitness Test® protocol would be the viability of its use at rest conditions (injured individuals or with high risk to maximal tests), in case there is good agreement with the real values in the sample group to be applied. In addition to that, good reproducibility already demonstrated by Kruel et al.19 would enable the identification of possible alterations in the O2máx in situations in which maximal tests are not suggested, such as in the middle of the competition season of athletes, allowing hence better adjustment of the training load.
It can be concluded that the Polar Fitness Test® protocol does not present agreement with the maximal exertion test on treadmill, when using a homogeneous sample of active and young individuals and it tends to underestimate the O2máxvalues. Studies with larger samples, non-homogeneous populations are necessary in order to have this O2máxestimation protocol validated.
1. Mollard P, Woorons X, Letournel M, Lamberto C, Favret F, Pichon A, et al. Determinants of maximal oxygen uptake in moderate acute hypoxia in endurance athletes. Eur J Appl Physiol 2007;100:663-73. [ Links ]
2. Alvarez JC, D'Ottavio S, Vera JG, Castagna C. Aerobic fitness in futsal players of different competitive level. J Strength Cond Res 2009;23:2163-6. [ Links ]
3. Nybo L, Sundstrup E, Jakobsen MD, Mohr M, Hornstrup T, Simonsen L, et al. High-Intensity Training Vs. Traditional Exercise Interventions for Promoting Health. Med Sci Sports Exerc 2010 Feb 26. [ Links ]
4. Leite SA, Monk AM, Upham PA, Bergenstal RM. Low cardiorespiratory fitness in people at risk for type 2 diabetes: early marker for insulin resistance. Diabetol Metab Syndr 2009;1:8. [ Links ]
5. Mitchell JH, Blomqvist G. Maximal oxygen uptake. N Engl J Med 1971;284:1018-22. [ Links ]
6. Leite PF. Fisiologia do Exercício, Ergometria e Condicionamento Físico. 4a, editor. São Paulo: Robe editorial; 2000. [ Links ]
7. Cao ZB, Miyatake N, Higuchi M, Miyachi M, Ishikawa-Takata K, Tabata I. Predicting VO2max with an objectively measured physical activity in Japanese women. Med Sci Sports Exerc 2010;42:179-86. [ Links ]
8. Flouris AD, Metsios GS, Famisis K, Geladas N, Koutedakis Y. Prediction of VO2max from a new field test based on portable indirect calorimetry. J Sci Med Sport 2010;13:70-3. [ Links ]
9. Moreira SB. Equacionando o Treinamento: a matemática das provas longas. Rio de Janeiro: Shape Editora; 1996. [ Links ]
10. Fernandes Filho J. A Prática da Avaliação Física. Rio de Janeiro, RJ: Shape Editora; 2003. [ Links ]
11. Bruce RA, Kusumi F, Hosmer D. Maximal oxygen intake and nomographic assessment of functional aerobic impairment in cardiovascular disease. Am Heart J 1973;85:546-62. [ Links ]
12. Jurca R, Church TS, Morss GM, Jordan AN, Earnest CP. Eight weeks of moderate-intensity exercise training increases heart rate variability in sedentary postmenopausal women. Am Heart J 2004;147:e21. [ Links ]
13. Kinnunen H, Väinämö K, Hautala A, Mäkikallio T, Tulppo M, Nissilä S, editors. Artifical neural network in predicting maximal aerobic power, 2000. [ Links ]
14. Peltola K, Hannula M, Held T, Kinnunen H, Nissilä S, Laukkanen R, et al., editors. Validity of polar fitness test based on heart rate variability in assessing vo2max in trained individuals. Abstract in Proc 5th Annual Congress of ECSS; 2000; Jyväskylä, Finland. [ Links ]
15. Bruce RA. Exercise testing of patients with coronary heart disease. Principles and normal standards for evaluation. Ann Clin Res 1971;3:323-32. [ Links ]
16. Froelicher VF Jr, Lancaster MC. The prediction of maximal oxygen consumption from a continuous exercise treadmill protocol. Am Heart J 1974;87:445-50. [ Links ]
17. Mcardle WD, Katch FI, Katch VL. Fisiologia do Exercício: energia, nutrição e desempenho humano. 6a, editor. Rio de Janeiro: Editora Guanabara Koogan; 2008. [ Links ]
18. ACSM. Manual do ACSM para avaliação da aptidão física relacionada à saúde. Rio de Janeiro: Editora Guanabara Koogan; 2006. [ Links ]
19. Kruel LFM, Coertjens M, Tartaruga LAP, Pusch HC. Validade e Fidedignidade do Consumo Máximo de Oxigênio Predito pelo Freqüencímetro Polar M52. Revista Brasileira de Fisiologia do Exercício. 2003;2:147-56. [ Links ]
20. Davy KP, Willis WL, Seals DR. Influence of exercise training on heart rate variability in post-menopausal women with elevated arterial blood pressure. Clin Physiol 1997;17:31-40. [ Links ]
Mailing address: All authors have declared there is not any
potential conflict of interests concerning this article.
Universidade Federal do Triângulo Mineiro Departamento de Ciências do Esporte
Av. Frei Paulino,30, Abadia
38025-180 Uberaba, MG
All authors have declared there is not any potential conflict of interests concerning this article.