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On-line version ISSN 1806-9940
Rev Bras Med Esporte vol.9 no.4 Niterói July/Aug. 2003
Indexes of power and aerobic capacity obtained in cycle ergometry and treadmill running: comparisons between sedentary, runners, cyclists and triathletes*
Fabrizio CaputoI; Sérgio Garcia StellaII; Marco Túlio de MelloII; Benedito Sérgio DenadaiI
ILaboratório de Avaliação da Performance Humana Unesp, Rio Claro-SP
IICentro de Estudos em Psicobiologia e Exercício EPM-Unifesp-SP
The objectives of this study were: a) to determine, in a cross-sectional manner, the effect of aerobic training on the peak oxygen uptake (O2peak), the intensity at O2peak (IO2peak) and the anaerobic threshold (AnT) during running and cycling; and b) to verify if the transference of the training effects are dependent on the analized type of exercise or physiological index. Eleven untrained males (UN), nine endurance cyclists (EC), seven endurance runners (ER), and nine triathletes (TR) were submitted, on separate days, to incremental tests until voluntary exhaustion on a mechanical braked cycle ergometer and on a treadmill. The values of O2peak (ml.kg-1.min-1) obtained in running and cycle ergometer (ER = 68.8 ± 6.3 and 62.0 ± 5.0; EC = 60.5 ± 8.0 and 67.6 ± 7.6; TR = 64.5 ± 4.8 and 61.0 ± 4.1; UN = 43.5 ± 7.0 and 36.7 ± 5.6; respectively) were higher in the group that presented specific training in the modality. The UN group presented the lower values of O2peak, regardless of the type of exercise. This same behavior was observed for the AnT (ml.kg-1.min-1) determined in running and cycle ergometer (ER = 56.8 ± 6.9 and 44.8 ± 5.7; EC = 51.2 ± 5.2 and 57.6 ± 7.1; TR = 56.5 ± 5.1 and 49.0 ± 4.8; UN = 33.2 ± 4.2 and 22.6 ± 3.7; respectively). It can be concluded that the transference of the training effects seems to be only partial, independently of the index (O2peak, IO2peak or AnT) or exercise type (running or cycling). In relation to the indices, the specificity of training seems to be less present in the O2peak than in the IO2peak and the AnT.
Key words: Specificity. Maximal oxygen uptake. Anaerobic threshold. Running. Cycling.
The effects of training on the body depend on the interaction of at least three factors: initial fitness level; applied overload (intensity, duration, and weekly frequency); and type of exercise (movement specificity).
The possible transference of the training effects from one type of exercise to another has been broadly investigated. This model of study is rather interesting, as it allows one to assess the physiologic mechanisms accountable for and/or limit body adjustments to training. Moreover, such data also interest the professionals in charge of assessment and training multiple-sports athletes (biathlon and triathlon), or injured athletes who need, for a period of time, to replace the type of movement they perform in their training.
Most of the studies that investigated the transference of the effects from aerobic training between different body segments (arm-leg or leg-arm) found that adjustments were limited to the trained segment1-3.
Studies that assessed such transference among the same body segments, but using different exercises (cycling-running or running-cycling), have collected data one may consider conflicting. In these studies, it has been noted that cycling-running and running-cycling may be similar4, higher from cycling to running5 or from running to cycling6. Such contraposition may be explained, in part, by lack of control and/or difference in the initial fitness status of the subjects in the previously mentioned studies. So, it has been suggested that transferences would be lower and lower, with the enhancement of the initial fitness status and, conversely, with sensitivity decrease of the training effects. However, very recent data collected from triathletes3 have shown that effects from cycling were transferred to running performance (longer distance covered in 30 minutes), which shows that, even in athletes, transference (at least for the performance) from cycling effects to running could exist.
Another less investigated aspect is that the magnitude of the training effects transference between running and cycling could depend on the physiologic indices used to determine training effects. As the peak oxygen uptake (O2peak) found in a maximum exertion test has been considered the golden standard to determine functional fitness of the cardiorespiratory system during physical activity7, a number of studies used it alone to assess possible transferences from training effects. However, this may not be the most suitable index, as a number of studies found, in moderately or highly trained subjects, that there may little or even no change in O2peak, even though some adjustments and improvement of aerobic performance may occur with training8. To confirm this, studies have found that short- (2-5 min), medium- (5-30 min), or long-term (> 30 min) performance does not depend on O2peak9,10 alone. This happens because, in trained subjects, O2peak seems to be limited by the central oxygen supply (maximum cardiac output)11, which, from a specific fitness level upward, does not change due to training. For the exercise intensity corresponding to O2peak (IO2peak), which is the best index to reflect the association between maximum aerobic power and economy of movement12, the aspects previously discussed do not seem to occur. IO2peak has shown to be a good aerobic performance predictor, and it is also sensitive to the effects of training in athletes, even when O2peak does not change, as there may be an improvement in the economy of movement13. The same seems to take place with lactate response to incremental exercises (known in general terms as anaerobic threshold AnT), which, as depending more of peripheral adaptations (muscular oxidative capability), is highly sensitive to training effects, and also presents high correlation with aerobic performance in medium- and long-duration events14. Notwithstanding, few studies have used AnT and, as far as we know, no study so far has investigated IO2peak to determine training effects transferences among different types of exercise.
The studies that make a longitudinal assessment of training effects may be considered, at first, the best investigative models. In these models, possible influences of the genetic load on the investigated indices are potentially best controlled. On the other hand, almost all these longitudinal studies covered somewhat small periods of time (4 to 24 weeks), which makes the collection of information on adjustments that may occur over the longer term with training (1 to 2 years) more difficult to obtain.
Thus, the purposes of this investigation were: a) to determine, in a cross-sectional way, training effects on O2peak, IO2peak and AnT during running and cycling; and b) to check if the transference of training effects depends on the type of exercise or the physiological index investigated.
MATERIAL AND METHODS
Seven runners (ER: 25.8 ± 6.0 years, 60.4 ± 4.1 kg, 172.1 ± 6.9 cm), 9 cyclists (EC: 22.6 ± 2.1 years, 62.8 ± 5.4 kg, 173.8 ± 5.9 cm), and 9 triathletes (TR: 21.4 ± 4.1 years; 66,2 ± 7,0 kg; 174.2 ± 8.4 cm) well trained in endurance tests, and 11 untrained individuals (UN: 26.8 ± 4.1 years, 74.9 ± 14.3 kg, 175.1 ± 5.1 cm), all males, took part in the study. The athletes had, at least, two years practice in their specific modality. Each volunteer was informed on the investigation procedures and their implications, and signed an informed consent form to take part in the study. The protocol was approved by the Research Ethics Committee of the Biosciences Institute Unesp Rio Claro.
Each volunteer took part in two experimental sessions, which were randomly carried out, with intervals of 5 to 7 days between the sessions. The subjects were advised to come to the tests rested, fed, and hydrated, and not having done heavy exertion over the past 48 hours. Each volunteer attended both sessions at the same place and time of day (± 2 hours).
The running tests were performed on a treadmill (Inbramed Millenium Super ATL) at an inclination of 1%. Cycling tests were performed on a braked cycle ergometer, with constant rotation of 70 rpm throughout the test. Respiratory variables were measured by a gas analyzer (Cosmed K4, Rome, Italy), collecting data breath-by-breath and calculating an average at every 15 seconds. Blood samples were analyzed by a lactate electrochemical analyzer (YSL 2300 STAT), and heart rate was monitored through a frequency-meter (Polar X Trainer plus).
Determining O2peak, IO2peak and AnT
The initial speed of the incremental test performed on the treadmill was 14 km.h-1 for runners and triathletes, and 9 km.h-1 for the other subjects, with 1 km.h-1 increments at every 3 minutes until voluntary exhaustion. At the end of each stage, there was a 30-second pause, when heart rate (HR) was measured and 25 ml of blood from the ear lobule were collected.
For the progressive and continuous cycle ergometer test, the initial load was of 105 W for cyclists and triathletes, and 70 W for the other subjects, with increments of 35 W at every 3 min until voluntary exhaustion. At the end of each stage, HR was measured and 25 ml of blood from the ear lobule was collected, with no pause.
The highest O2 measured within 15 seconds was considered O2peak. IO2peak was the lowest speed or power O2peak measurement. If the intensity of the measured O2peak was not sustained for at least 1 minute, the intensity of the previous stage was considered IO2peak15. AnT was calculated through linear interpolation, assuming a fixed lactate concentration of 3.5 mM16.
All data are expressed as means ± DP. Values for O2peak, maximum heart rate (HRmax), peak lactate, AnT in absolute figures (O2AnT) and as a proportion of O2peak (AnT%O2peak), AnT-related heart rate (HRAnT), and HRAnT in relation to HRmax (AnT%HRmax) were assessed with the use of an ANOVA two-way (group vs. modality), complemented by Scheffé's test. IO2peak comparison was done with the use of an ANOVA one-way, complemented by Scheffé's test. In all tests a significance level of p < 0.05 was adopted.
O2peak values are presented in figure 1 and in table 1. O2peak was significantly higher in running than cycling for ER and UN groups. For the TR group there was no difference between the exercises, and for the EC group, O2peak was higher in cycling. UN group presented a O2peak lower than the other groups, for both types of exercise. Comparison of ER and EC groups showed that O2peak was higher for those where athletes had specific training. Group TR had a O2peak lower than group EC for cycling, and it was statistically similar for running. As for ER group, O2peak values of the TR groups were not different for both types of exercise.
Figures 2 and 3 show IO2peak from running and cycling, respectively. IO2peak of the UM group was lower than the other groups, for both types of exercises. For running, ER group showed IO2peak higher than the one from CL group, whereas for cycling, EC group had IO2peak higher than the one from the ER group. IO2peak of the TR group was not different from the one of the EC group, and significantly higher than the one of the EC group for cycling. Likewise, for running, IVO2peak of the TR group was not different from the one of the ER group, and significantly higher than the one of the EC group.
Table 1 shows maximum HR and serum lactate values at the end of the incremental test performed on the cycle ergometer and on the treadmill. Except for EC group, in which no differences were seen, HRmax was significantly lower in cycling than in running. In cycling, HRmax for EC was higher than for ER and TR groups, and similar to UN group. No differences were found in running among the groups. For LACpeak, EC group presented differences only between the types of exercises.
O2AnT values for cycle ergometer and for treadmill are presented in figure 4 and table 2. O2AnT was significantly higher in running than in cycling for UN, ER and TR groups. For EC group, O2AnT was higher in cycling. UN group presented a O2AnT lower than other groups, for both types of exercise. When ER and EC groups were compared, O2AnT was higher where athletes had specific training. TR group showed a O2AnT lower in cycling and higher in running, compared to EC group. For ER group, O2AnT values of TR group were not different for both types of exercise.
HRAnT, AnT%HRmax and AnT%O2peak, values from cycle ergometer and treadmill are presented in table 2. AnT%O2peak values were significantly higher in running than in cycling for ER and UN groups. For TR and EC groups, there were no differences between the exercises. AnT%O2peak for cycling in UM group was lower than in ER group, and both groups had lower levels than EC and TR groups. In running, AnT%O2peak was lower for UM group compared to EC and TR groups. Except for EC group, in which no differences were found, HRAnT was significantly lower in cycling than running. HRAnT for UN group in cycling was lower than for the other groups. No differences in HRAnT were found for cycling between ER and TR groups, and both were significantly lower compared to EC group. No differences were found in HRAnT for running, among all groups. AnT%HRmax values were significantly higher in running than cycling for ER and UN groups. For TR and EC groups, there were no differences between the exercises. AnT%HRmax for UN group in cycling was lower than the other groups. No AnT%HRmax differences were found in cycling between ER and TR, and TR and EC groups, but AnT%HRmax was significantly lower for ER group compared to EC group. There were no AnT%HRmax differences in running among all groups.
O2peak and AnT values presented by our subjects are similar to values found in the literature for the profile of those assessed in our investigation8-10. Even not interfering in the athletes practice, by associating O2peak, IO2peak and AnT, we can assume that our subjects underwent adjustments from a long-term aerobic training, regardless of any genetic influence that could raise the levels of such physiologic indices with no training17.
According to what is classically demonstrated, TR group tended to make equal their O2peak values for both types of exercise18,19. UN and ER groups presented higher values for running, while EC group presented a higher value for cycling. This behavior matches the one found in other studies18-21, suggesting that O2peak does not depend only on the muscular mass of the subject, but also on the training specificity. It is interesting to note that O2peak values presented by ECs and ERs during non-specific training for each group were not different than for the TR group, and significantly higher than the presented by UNs. This suggests a transference of the training effects in relation to aerobic power, both from cycling to running and from running to cycling. This transference, however, seemed to be only partial, as O2peak values from ERs were higher in running, compared to ECs, while ECs presented higher values for cycling than ERs. Thus, specific adjustments in O2peak for improvement of both types of exercise seem to be necessary when one targets the highest O2peak possible and/or when training is performed for highly trained athletes.
There is a huge body of evidence in the literature showing that O2peak in athletes in limited by central factors (maximum heart output)11. Our data, however, suggest this behavior may not occur when one assesses athletes performing exercises for which they were not specifically trained. In these conditions, peripheral mechanisms (adjustments in the muscular blood flow and/or oxidative capacity) seem to play a role in limiting O2peak. In running, even with similar HRmax values (and likely maximum heart output) to cycling, O2peak values for EC group were higher in cycling. In cycling, peripheral factors seem to be even more present, as both groups, ER and TR, presented lower HRmax (and likely a maximum heart output) for running. It is likely that very specific adjustments are necessary for the muscle groups used in cycling (as discussed below), so that no peripheral limitation may prevent HRmax to be reached during an incremental test.
IO2peak is the index that reflects the best the association between maximum aerobic power (O2peak) and economy of movement22. As expected, IO2peak was higher where the athlete had specific training for the modality, and much lower in both tests for the UNs, with values within the range shown in the literature for this type of sample15 (figures 2 and 3). It is important to mention that higher IO2peak values were not due to higher O2peak only, but also because of a higher economy of movement in the modality in which the subject had specific training. This can be better seen by observing IO2peak values for the modality not particular to that subject. For ER (cycling) and EC (running) groups, O2peak values were similar to TR group, whereas IO2peak values were significantly lower in ER and EC groups. These data show that economy of movement has an instrumental role in determining IO2peak, and that transference from one type of exercise to another probably did not occur, or was too small. Economy of movement depends on specific peripheral adjustments (enzymatic, neuromuscular and motor technique), that makes difficult transference of training effects. Our data confirm the importance of determining IO2peak, and not only O2peak, which reinforces findings of other studies that concluded IO2peak to be more valid to explain individual differences in aerobic performance than VO2peak or economy of movement alone12.
For submaximal variables, again AnT highest values were for subjects with specific training in the modality (figure 4). The same goes for O2peak, suggesting that high AnT adjustment levels in response only to specific training. It is to be mentioned, however, that AnT presented by UNs in both exercises are much lower that values found in ECs for running and ERs for cycling, suggesting a transference, even if partial, of training effects. However, different from what was seen with O2peak, these values (for ECs in running and ERs in cycling) were lower than those presented by TRs, showing that transference of training effects, even if partial, are more specific in lactate response than in O2peak.
In our study model, AnT expressed in absolute values (ml.kg-1.min-1) should be analyzed with discretion, as differences among groups for this index may be determined, in great measure, by the different O2peak values. However, when AnT is expressed as a O2peak percentage (AnT%O2peak), i.e., relative values, its behavior is not different from what was previously discussed, except for the similarity in UN and ER groups in running. In this scenario, it is to be stressed that the type of exercise seems to interfere in AnT%O2peak, particularly when one observes that UN group presented a value for running similar to the ER group, significantly higher than its value for cycling.
The lower AnT%O2peak (UN) and HRmax (UN, ER and TR) values for cycling compared to running may be due to biomechanical differences among the different modalities. Even using similar muscle groups, the delta efficiency (D intensity/D O2 x 100) for cycling (25%) is much lower than for running (45%)23. Its contractions of isomeric characteristics24 somehow may influence, through the decrease of muscular pumping action, venous return and muscular blood flow during exercise. During high-intensity activities, particularly in subjects with no cycling experience, as fatigue develops, one could observe an increase in the work of trunk and upper limb muscles, with no contribution for the generation of external work. This may cause blood flow to be redirected to the upper part of the body, and a possible "competition" for heart output. In addition, high intramuscular pressures developed over the cycling cycle may lead to a partial occlusion of the femoral artery25, which may reduce oxygen supply and promote higher recruitment of type-II fibers. It is thus possible to speculate that, during cycling, more specific adjustments may be necessary in an attempt to decrease these biomechanical limitations.
For running, excentric muscular action may be of important consequences for energetic expenditure. First, the metabolic expenditure from the excentric concentration is substantially lower than the concentric contraction26. Second, the enlarging-shortening cycle in running allows for the storage of elastic energy during the excentric stage, which is released later, at the concentric stage, increasing power generation for a given neural impulse. Such biomechanical "benefit" of running seems to justify, in part, the higher transference of AnT%O2peak towards running, and also AnT%O2peak and HRmax behavior in groups that do not train cycling.
Based on data from this study, one may conclude that, regardless of the index (O2peak, IO2peak or AnT) or the type of exercise (running or cycling), transferences of training effects seem to be just partial, and there is the need to meet the movement specificity principle, when one intends to get a high degree of physiologic adjustment. As for indices, training specificity seems to be less present, therefore promoting higher level of transference, when adjustments depend more on central factors, such as O2peak. For IO2peak (when O2peak levels are high) and AnT, which are more dependent on peripheral adjustments, the degree of transference may be lower.
All the authors declared there is not any potential conflict of interests regarding this article.
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20. Bouckaert J, Vrijens J, Pannier JL. Effect of specific test procedures on plasma lactate concentration and peak oxygen uptake in endurance athletes. J Sports Med Phys Fitness 1990;30:13-8.
21. Fernhall B, Kohrt W. The effect of training specificity on maximal and submaximal physiological responses to treadmill and cycle ergometry. J Sports Med Phys Fitness 1990;30:268-75.
22. Machado FA, Guglielmo LGA, Denadai BS. Velocidade de corrida associada ao consumo máximo de oxigênio em meninos de 10 a 15 anos. Rev Bras Med Esporte 2002;8:1-6.
23. Daniels J, Daniels N. Running economy of elite male and elite female runners. Med Sci Sports Exerc 1992;24:483-9.
24. Bijker KE, Groot G, Hollander AP. Delta efficiencies of running and cycling. Med Sci Sports Exerc 2001;33:1546-51.
25. Patterson RP, Moreno MI. Bicycle pedaling forces as a function of pedaling rate and power output. Med Sci Sports Exerc 1990;22:512-6.
26. Edwards RH, Hill DK, Mcdonnell M. Myothermal and intramuscular pressure measurements during isometric contractions of the human quadriceps muscle. J Physiol 1972;224:58-9.
27. Van Ingen Schenau GJ, Bobbert MF, De Haan A. Does elastic energy enhance work and efficiency in the stretch-shortening cycle? J Appl Biomech 1997;13:389-415.
Laboratório de Avaliação da Performance Humana, IB Unesp
Av. 24A, 1.515 Bela Vista
13506-900 Rio Claro, SP Brasil
Received in 18/2/03
Approved in 14/7/03
* Financial support: CNPq and Fapesp.