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Whereas experimental studies showed that in healthy trained subjects, the phosphodiesterase-5 inhibitor (PDE-5i) sildenafil improves exercise capacity in hypoxia and not in normoxia, no studies on the effects of the long half-life PDE-5i tadalafil exist. In order to evaluate whether tadalafil influences functional parameters and performance during a maximal exercise test in normoxia, we studied 14 healthy male athletes in a double-blind cross-over protocol. Each athlete performed two tests on a cycle ergometer, both after placebo or tadalafil (at therapeutic dose: 20 mg) administration. Oxygen consumption (VO2), blood lactate, respiratory exchange ratio, rate of perceived exertion, arterial blood pressure (BP), heart frequency (HR) and oxygen pulse (VO2/HR) were evaluated before exercise, at individual ventilatory and anaerobic thresholds (IVT and IAT), at VO2max and during recovery. Compared to placebo, a single tadalafil administration significantly reduced systolic BP before and after exercise (p < 0.05), decreased VO2/HR at IVT (13.3 +/- 1.8 vs. 14.5 +/- 2.1 mL . beat (-1); p = 0.03), but did not modify individual VO2max, IVT, or IAT. In healthy athletes, 20 mg of tadalafil does not substantially influence physical fitness-related parameters, exercise tolerance, and cardiopulmonary responses to maximal exercise in normoxia; it remains to be verified if higher doses/prolonged use influence health and/or sport performance in field conditions.

The determination of anaerobic capacity (AC) using treadmill ergometry is problematic from a methodological, as well as a technical standpoint. In this study, a procedure from Monod and Scherrer was modified to examine whether realistic magnitudes of AC could be determined using three subject groups with different levels of anaerobic training. The subject groups consisted of 10 untrained (UT), 10 aerobic-trained runners (AeT), and 10 anaerobic-trained 400-meter sprinters (AnT). In two separate test series, first the VO2max was determined and second the so-called individual anaerobic threshold (IAT) was used to determine the aerobic power for all subjects. Then all subjects completed a series of sprints with increasing speeds above the VO2max, from which the work output from each test was calculated. Through linear regression, the point of intersection of the regression line with the y-axis was defined as global AC. The results show typically higher VO2max and IAT for AeT (62.2 ml x kg(-1) x min(-1), 14.7 km x h(-1)) compared to UT (53.2 ml x kg(-1) x min(-1); 11.2 km x h(-1)) and AnT (56.7 ml x kg(-1) x min(-1); 11.8 km x h(-1)). AC was significantly higher in AnT (4.1 +/- 0.58 kJ) compared to AeT (1.8 +/- 0.65 kJ) and UT (3.2 +/- 0.68 kJ). The determined absolute values of AC are considerably lower than of comparable examinations using bicycle ergometry. One reason for such an underestimation of AC could be that the horizontal work done during exercise on a treadmill was not taken into enough consideration. Another explanation is that the magnitude of the calculated AC values shows a dependency on the duration of each sprint test. In addition, the critical velocity for all subjects was found to be higher than for IAT, which consequently leads to an underestimation of AC. Moreover, the absolute level of the AC values appears to depend on the endurance of the comparison groups. It can then be concluded that the applied procedure allows for a differentiation amongst a variously trained collective, but does not allow a correct absolute determination of the AC.

The purpose of this study was to assess the reproducibility over four trials of perceptually regulated exercise intensity during short-term cycle ergometry. Recent research has suggested that an improvement in the reproducibility (better agreement) of the exercise output would be observed with a repeated practice using regulatory tools such as Borg's 6 - 20 rating of perceived exertion (RPE) scale. Eighteen healthy active volunteers (nine males, mean age (+/- SD) 24.7 +/- 3.4 yr, and nine females 27.6 +/- 5.4 yr) completed four identical intermittent effort production trials on a cycle ergometer over a period of two - three weeks, with all trials being between three and five days apart. After warm-up, the volunteers were asked to produce four x three-minute bouts of exercise at RPE levels: 13, 15, 9, and 17 (in this order). Power output (W), percentage maximum heart rate reserve (%MHRR), and oxygen consumption (VO(2); ml x kg(-1) x min(-1)) were recorded in the final minute of each bout. Analysis revealed that the 95 % limits of agreement (LoA) between repeated trials did not decrease for the objective markers of exercise intensity, remaining wide throughout. In the worst case comparisons the LoA represented changes (expressed as a proportion of the mean of two trials) of up to 58.3 % in power output (T2 vs. T3 at RPE 9), 65.5 % in % MHRR (T1 vs. T2 at RPE 13) and 36.5 % in VO(2) (T3 vs. T4 at RPE 17). These findings question the use of ratings of perceived exertion to regulate exercise effort. That the reproducibility of effort is also not seen to improve with practice raises doubts about the validity of using the RPE scale to provide training intensities for this type of exercise.

This study investigated the effect of 10 W*min(-1) (Slow ramp, SR), 30 W*min(-1) (Medium ramp, MR) and 50 W*min(-1) (Fast ramp, FR) exercise protocols on assessments of the first (VT1) and second (VT2) ventilation thresholds and peak oxygen uptake (VO(2)peak) in 12 highly-trained male cyclists (mean +/- SD age = 26 +/- 6 yr). Expired gas sampled from a mixing chamber was analyzed on-line and VT1 and VT2 were defined as two break-points in 20-s-average plots of pulmonary ventilation (V(E)), ventilatory equivalents for O(2) (V(E)/VO(2)) and CO(2) (V(E)/VCO(2)), and fractions of expired O(2) (F(E)O(2)) and CO(2) (F(E)CO(2)). Arterialized-venous blood samples were analyzed for blood-gas and acid-base status. VO(2)peak was significantly lower (p < 0.05) for SR (4.65 +/- 0.53 l small middle dot min(-1)) compared to MR (4.89 +/- 0.56 l *min(-1)) and FR (4.88 +/- 0.57 l *min(-1)) protocols. CO(2) output and blood PCO(2) were lower (p < 0.05), and V(E)/VCO(2) was higher (p < 0.05), above VT1 for SR compared to MR and FR protocols. No significant differences were observed among the protocols for VO(2), % VO(2)peak, V(E), plasma lactate ([La(-)]) and blood hydrogen ion concentration ([H(+)]), and heart rate (HR) values at VT1 or VT2. The work rate (WR) measured at VT1, VT2 and VO(2)peak increased (p < 0.05) with steeper ramp slopes. It was concluded that, in highly-trained cyclists, assessments of VT1 and VT2 are independent of ramp rate (10, 30, 50 W*min(-1)) when expressed as VO(2), % VO(2)peak, V(E), plasma [La(-)], blood [H(+)] and HR values, whereas VO(2)peak is lower during 10 W*min(-1) compared to 30 and 50 W*min(-1) ramp protocols. In addition, the WR measured at VT1, VT2 and VO(2)peak varies with the ramp slope and should be utilized cautiously when prescribing training or evaluating performance.

The purpose of this investigation was to assess the accuracy of the COSMED K4 b2 portable metabolic measurement system against the criterion Douglas bag (DB) method. During cycle ergometry on consecutive days, oxygen consumption (VO2), carbon dioxide production (VCO2), minute ventilation (VE), and respiratory exchange ratio (R) were measured at rest and during power outputs of 50, 100, 150, 200, and 250W. No significant differences (P > 0.05) were observed in VO2 between the K4 b2 and DB at rest and at 250W. Though the K4 b2 values were significantly higher (P

The purpose of this study was to assess reliability of both indoor and outdoor 40 km time-trial cycling performance. Eight trained cyclists completed three indoor 40 km time-trials on an air-braked ergometer (Kingcycle) and three outdoor 40 km time-trials on a local course. Power output was measured for all trials using the SRM powermeter. Mean performance time across three indoor trials was 54.21 +/- 2.59 (min:sec) and was significantly different (P

The aim of this study was to investigate the effect of different Recovery Duration (RD) between each sprint (30 s, 1 min, 3 min, 5 min, 10 min and 24 h) during the force-velocity test and to analyse associated anaerobic parameters such as maximal anaerobic power and blood lactate concentrations. Twelve male physical education students aged from 18 to 26 years took part in this study. Maximal anaerobic power (Pmax) was not statistically different whatever the recovery duration (from 885 to 938 watts, for RD 30 s to RD 24 h, respectively). This was associated with a tendency during the longer RD tests for optimal velocity to decrease (p = ns) while optimal force increased (p0.05). Blood lactate concentrations were regularly increased from 1.7 to a 9 mmol x l(-1) plateau at sprint 4 for RD tests10 min and were quite stable from the second sprint with an associated value from 2.2 to 4.7 mmol x l(-1) for RD 10 min and RD 24 h. In spite of statistically different values for [L]s between the tests, the power developed for each sprint remained unchanged. These data indicate that the attainment of maximal power seems independent from the recovery duration (10 s) and the pre-blood lactate values observed between each sprint during the force-velocity test. The way to reach Pmax was different between the tests. Different partition of energetic pathways are suggested. In conclusion, the force-velocity test could be performed with a shorter and the arbitrary five minutes recovery duration.

With the portable spirograph CORTEX X1 both the oxygen consumption and the carbon dioxide output can be determined. Therefore, the aim of the present study was to determine the accuracy of the CORTEX X1 in measuring F(E)O2, F(E)CO2 and V(E) when attached to a motor-driven mechanical syringe and to validate the CORTEX X1 against a standardized breath-by-breath system during a graded bicycle ergometry. Fifteen subjects (8 male, 7 female; 26.7+/-3.3 years) performed two graded exercise tests on a bicycle ergometer (50 W incline every 3 min) until volitional fatigue in randomized order. During rest and during the last 30 s of each step ventilatory and gas exchange parameters were measured with the CORTEX X1 and the OXYCONgamma. At rest and at each step no significant differences exist for VO2 (F = 0.97) and VCO2 (F = 0.90). The orthogonal regression equation of the VO2-values was VO2(X1) = -75.5 + 1.01 x VO2(Oxy) and the equation of the VCO2-values was VCO2(X1) = 21.7-1.008 x VCO2(Oxy). The VO2-max-values were nearly the same: 3569+/-924 ml/min (Oxy) and 3497+/-993ml/min (X1). Similar findings were made with regard to VCO2max 4117+/-1010 ml/min (Oxy) and 4126+/-1090 ml/ min. (X1). Maximal values for heart rate were 181+/-10 beats/ min (X1) and 180+/-8 beats/min (Oxy) (F=0.21), for maximal power 256+/-64 W (X1) and 257+/-63 (Oxy) (F = 0.0001) and for maximal ventilation 118+/-31 l/min) and 120+/-35 l/min (Oxy) (F = 0.03) with no significant difference. When attached to the motor-driven syringe V(E) was accurately measured up to 288 l/ min. Over a period of 40 min there was no drift observed in F(E)O2 and F(E)CO2. In conclusion, with the CORTEX X1 VO2 and VCO2 can be accurately determined.

The purpose of this study was to compare two cycle ergometer modifications of the maximal anaerobic running test (MART) with each other and with the MART. Ten male physical education students performed the two maximal anaerobic cycling tests (MACT) in a random order and the MART between the MACTs. Each test consisted of n.20-s exercise bouts with a 100-s recovery period between them. Based on the ACSM equations the oxygen demand of the initial bout in each test equalled 56 ml.kg-1.min-1 and the increase for each consecutive bout was 6 ml.kg-1.min-1. In MACTres the resistance was increased and the pedalling frequency was kept constant (100 rpm) while in MACTfreq the frequency was increased and the resistance was constant (0.077 x body weight). In the MART the velocity of the treadmill was increased and the slope was constant (4 degrees). Blood lactate (BLa) concentration was measured at rest, 40 s after each run and during a 10-min recovery period. Maximal power (Pmax) was similar in the MART, MACTres and MACTfreq (107 +/- 4, 107 +/- 8 and 105 +/- 6 ml.kg-1.min-1, respectively) while significant differences (p < 0.05) were observed in the peak BLa (12.8 +/- 1.3, 15.6 +/- 1.7, and 14.7 +/- 2.1 mM, respectively). BLa was lower in the MACTfreq than in the MACTres until the oxygen demand of 86 ml.kg-1.min-1 and it was higher in both MACTs compared to the MART at each workload. We concluded that the MART can be modified for the bicycle ergometer although metabolic acidosis was greater in bicycle modifications. Further, the comparison of the MACTres and MACTfreq showed that blood lactate accumulation was greater at the higher pedalling frequency.

This investigation highlights the comparison of blood lactate removal during the period of recovery in which the subjects were required to sit down as a passive rest period, followed by active recovery at 30% VO(2)max and short term body massage, as the three modes of recovery used. Ten male athletes participated in the study. Exercise was performed on a bicycle ergometer with loads at 150% VO(2)max, each session lasting 1 min, interspaced with 15 sec rest periods, until exhaustion. Blood lactate concentration was recorded at recovery periods of 0,3, 5, 10, 20, 30, and 40 min, while VO(2), VCO(2) and heart rate were recorded every 30 sec for 30 min. The highest mean lactate value was found after 3 min of recovery irrespective of the type of modality applied. Significantly lower half life of lactate was observed during active recovery (15.7 +/- 2.5 min) period, while short term massage as a means of recovery required 21.8 +/- 3.5 min and did not show any significant difference from a passive type of sitting recovery period of 21.5 +/- 2.8 min. Analysis of lactate values indicated no remarkable difference between massage and a passive type of sitting recovery period. It was observed that in short term massage recovery, more oxygen was consumed as compared to a passive type of sitting recovery. It is concluded from the study that the short term body massage is ineffective in enhancing the lactate removal and that an active type of recovery is the best modality for enhancing lactate removal after exercise.

Nine male healthy and physically active volunteers performed four different exercise tests: an incremental load exercise test to exhaustion and a constant load exercise test of 15 min at 65% VO2max, both on the bicycle ergometer and on the treadmill. During the incremental exercise test, blood ammonia levels were significantly higher on the bicycle ergometer as compared to the treadmill at the same submaximal VO2 (p < 0.05 at 80% of VO2max) and at the VO2max, which was identical in the two modes of exercise. Plasma lactate levels were also significantly higher on bicycle ergometer at high submaximal exercise intensity but not at VO2max. During the constant load exercise test blood ammonia levels increased continuously and showed no differences between cycling and running, in contrast to plasma lactate accumulation, which was higher on the bicycle ergometer. The finding that blood ammonia accumulation during exercise is critically dependent upon the test procedure has to be taken into account whenever blood ammonia measurements are used in the physiological monitoring of athletes.

We studied the effects of anaerobic and aerobic training on lipoprotein concentrations in 45 healthy untrained men. Thirty-three subjects exercised four times per week during nine weeks on a bicycle ergometer. Sixteen trained with an intensity above the anaerobic threshold (blood lactate concentration > 4 mmol.l-1) and 17 trained with an intensity below the anaerobic threshold. In addition, twelve subjects served as controls. The calculated caloric expenditure of the two training groups was similar. In all three groups, total cholesterol, total high-density lipoprotein (HDL), HDL subfractions (HDL2, HDL3), and low-density lipoprotein (LDL) were measured. Training had a significant influence on HDL, HDL2, LDL/HDL, HDL2/HDL3, and cholesterol/HDL. With anaerobic training these variables changed in the opposite direction compared with aerobic training which influenced the lipoprotein profile in the desired direction. Cholesterol, HDL3, and LDL did not alter during the nine weeks of training. After nine weeks of training, the higher the blood lactate concentration during exercise (representing training intensity) was, the higher resting LDL/HDL ratio was found. The correlation between these two variables was highly significant. We conclude that training above the anaerobic threshold has no or even negative effects on blood lipoprotein profiles. Therefore, beneficial adaptations in lipoprotein profile must be achieved with moderate training intensities below the anaerobic threshold.

The aim of this investigation was to establish if there were characteristic circadian rhythms in peak power and mean power. Thirteen female physical education undergraduate students, aged from 18-21 years, were measured for peak power and mean power (Wingate Anaerobic Test) at four time points: 0300, 0900, 1500, and 2100 hours. Peak power was defined as the highest mechanical power that is elicited during a 5-sec period and mean power was defined as the average power that is sustained throughout a 30-s period. A significant circadian rhythm was found for the peak power (F = 3.22, p = 0.030). The mean peak power at 1500 h was about 7% higher (p < .05) than at 0300 h. Also a tendency to circadian rhythm was observed in mean power (F = 3.99, p = 0.01) being about 16% and 15% higher respectively (p < 0.05) at 1500 h and 2100 h than at 0300 h. Based upon the particular protocol used, it was concluded that there are characteristic circadian rhythms in peak power and mean power.

The purpose of this study was to compare Anaerobic Work Capacity (AWC) measured on an isoinertial or an isokinetic bicycle ergometer. Twelve male participants completed two randomly ordered exercise testing sessions including a torque-velocity test followed by a 30-s all-out test on an isokinetic ergometer, or a force-velocity test followed by a Wingate Anaerobic Test on an isoinertial ergometer. Optimal load measured during the force-velocity test on the isoinertial ergometer was 1.13+/-0.11 N.kg(-1). Optimal cadence measured during the torque-velocity test on the isokinetic ergometer was 107+/-13 rpm. Although P(peak) measures were significantly correlated (r=0.77), we found a large difference between them (effect size=2.85) together with wide limits of agreement (bias+/-95%LOA=24+/-12%). The same observation was made with P(mean), but with a smaller magnitude of difference (bias+/-95%LOA=4.2+/-12%; effect size=0.51; r=0.73). This lack of agreement led us to the conclusion that AWC measures obtained during 30-s all-out tests performed on an isoinertial or an isokinetic bicycle ergometer are not necessarily similar and cannot be used interchangeably.

The analysis of published data allowed us to establish main traits of blood hormone responses to exercises: There are stable changes in hormone levels that are common to all persons, as well as changes which are characterized by a polyphasic pattern and exhibiting inter-individual variability. By the response rate it is possible to discriminate fast responses, responses of a modest rate and delayed responses. Accordingly, mechanisms for a rapid and for a delayed activation exist. The changes mediated through the mechanism for a rapid activation depend on the intensity of exercise, revealing the threshold intensity for endocrine response. When a certain amount of exercise is done, the hormonal responses are triggered despite the under-threshold intensity of exercise. Consequently, a threshold duration of exercise also exists. Through training the threshold intensity of exercise increases and the functional capacities of the endocrine systems augment. The former results in the disappearance of hormonal responses during exercise intensity which was previously above the threshold. The latter makes it possible to achieve especially pronounced and long-lasting hormonal changes during extreme exercises. Emotional states as well as environmental conditions, and carbohydrate supply modulate the hormonal changes in exercise.

The purpose of this study was to determine the effects of age in relation to anthropometric characteristics upon maximal anaerobic power of legs in sixty-nine young boys aged 11 to 19 years. Maximal anaerobic power (Wmax) was measured by the force-velocity test. Lean body mass (LBM) was determined from all four skin-fold thickness measurements, leg volume (LV) was estimated by anthropometric method, and anthropometric measurements were used to determine total muscular mass (TMM). Wmax increased significantly (F = 44.1, p less than 0.001) between 11 and 19 years and was correlated with LV (r = 0.84) and TMM (r = 0.88). It was most highly correlated with LBM (r = 0.94), which best explained the percentage of the total variance of Wmax (88%). Normalized Wmax (Wmax/LBM) also increased significantly between 11 and 19 years (F = 21.9, p less than 0.001). In conclusion, Wmax determined by the force-velocity test was closely related to anthropometric characteristics, especially LBM, during the growth period. Furthermore, even when corrected for lean body mass, maximal anaerobic power was always found to increase. This suggests that other undetermined factors, in addition to the amount of lean tissue mass, may explain the increase of Wmax during the force-velocity test.

We examined simultaneously the influence of age as well as both current and historical habitual physical activity (PA) on aerobic (physical working capacity - PWC) and anaerobic (Pmax) power in 354 men aged 20.2-87.6 yrs. All the participants performed the graded aerobic exercise test and 8-second explosive power tests on a bicycle ergometer. Current leisure time physical activity (LTPA) and lifetime historical LTPA were assessed. The decline in Pmax/kg (10.3% per decade) was higher than in PWC/kg (7.5% per decade). Correlation coefficients for current LTPA and aerobic indices were higher than for current LTPA and anaerobic indices. In a multiple stepwise regression, current LTPA had the main effect on PWC/kg, whereas age had the main effect on Pmax/kg. Aerobic power was related to all measures of historical PA questionnaire, while anaerobic power - only to those historical measures which pertained to adolescence and younger years of adulthood. We conclude that the age-associated decline in anaerobic power is steeper than that of aerobic power. Habitual endurance-type LTPA increases aerobic but not anaerobic fitness throughout the adult lifespan. Anaerobic fitness indices are higher in young active vs sedentary men but this difference is not discernible as early as in the middle age.

The primary purpose of this study was to determine the accuracy of estimating oxygen uptake (VO2) from the flywheel revolution rate of a bicycle wind-loaded simulator. VO2 at four different flywheel revolution rates was measured on a Findlay Road Machine (FRM). Ten male trained cyclists, 10 male untrained cyclists, 10 female trained cyclists and 10 female untrained cyclists served as subjects. Significant curvilinear relationships (P less than 0.01) were found between road speed estimated from flywheel revolution rate and VO2 expressed as 1.min-1, ml.kg-1.min-1, 1.min-1.m-2 (r = 0.97, 0.96, 0.98, respectively). The absolute standard error of the mean VO2 was 0.21 l.min-1 (9.6%), 3.71 ml.kg-1.min-1 (11.5%) and 0.10 l.min-1.m-2 (7.9%), respectively. The relationship between VO2 and speed was similar to that reported during road cycling. To determine the magnitude of between-machine differences in VO2, six subjects randomly performed cycling using two different FMR. Significant (P less than 0.05) differences between machines were found at only the highest speed. The present study indicates that it is possible to accurately predict VO2 from flywheel revolution rate using a FRM. Since the FRM appears to approximate the resistance a cyclist experiences on the road and allows cyclists to use their own bicycle, it provides a good alternative to traditional laboratory ergometers.

We examined the effects of training specificity on the lactate threshold (LT) and VO2peak. Sixteen male subjects completed VO2peak/LT protocols on the cycle ergometer (CE) and treadmill (TM) before and after a training program. The subjects were assigned to run training (N = 5), cycle training (N = 6), and control groups (N = 5). Subjects trained 4 day/week for 10 weeks at approximately 89% of pre-training VO2peak. Results indicated that run training increased VO2 at LT (VO2LT) within both the CE and TM protocols (17.9 to 22.5 ml/kg.min-1 for CE, 22.7 to 36.0 ml/kg.min-1 for TM, p less than 0.05) with the 58.5% increase in VO2LT for TM being greater than the 30.3% increase for CE (p less than 0.05). Cycle training resulted in a 38.7% increase in CE VO2LT (19.7 to 27.4 ml/kg.min-1, p less than 0.05) with no significant improvement in TM VO2LT (23.6 to 24.0 ml/kg.min-1). Similar increases in VO2peak were observed for CE and TM protocols for both cycle and run training groups (VO2peak increased by 11.9 to 20.7% in both CE and TM regardless of training mode). No changes were observed in the control group for any variable. The present data suggest that increases in LT resulting from training may be specific to the mode of exercise.

Twenty-six male runners aged 14-16 years not yet specifically trained for sprint or middle-distance running performed a field test with distances of 25 m, 75 m, and 1000 m. Before the field test they were designated as sprinters (n = 19) and middle-distance runners (n = 7) according to their self-assessment and the estimation of the coaches. Blood ammonia and lactate concentrations were measured before and after the runs, and heart rates as well as the perceived exertion were evaluated. The most remarkable finding was a significantly higher ammonia increase in the supposed sprinters after 75 m compared with the supposed middle-distance runners. The ammonia concentrations after 1000 m were considerably less pronounced in both groups and did not differ significantly. The ratio of the ammonia concentration after the 75-m and the 1000-m distance was defined as an index. A high index was typical for designated sprinters, whereas a low index was found in supposed middle-distance runners. The combination of this index and the assessment of the coaches makes it possible to recommend special training regimens.

The purpose of the present study was to examine the reproducibility of laboratory-based 40-km cycle time-trial performance on a stationary wind-trainer. Each week, for three consecutive weeks, and on different days, forty-three highly trained male cyclists (x +/- SD; age = 25 +/- 6 y; mass = 75 +/- 7 kg; peak oxygen uptake [VO (2)peak] = 64.8 +/- 5.2 ml x kg (-1) x min (-1)) performed: 1) a VO (2)peak test, and 2) a 40-km time-trial on their own racing bicycle mounted to a stationary wind-trainer (Cateye - Cyclosimulator). Data from all tests were compared using a one-way analysis of variance. Performance on the second and third 40-km time-trials were highly related (r = 0.96; p < 0.001), not significantly different (57 : 21 +/- 2 : 57 vs. 57 : 12 +/- 3 : 14 min:s), and displayed a low coefficient of variation (CV) = 0.9 +/- 0.7 %. Although the first 40-km time-trial (58 : 43 +/- 3 : 17 min:s) was not significantly different from the second and third tests (p = 0.06), inclusion of the first test in the assessment of reliability increased within-subject CV to 3.0 +/- 2.9 %. 40-km time-trial speed (km x h (-1)) was significantly (p < 0.001) related to peak power output (W; r = 0.75), VO (2)peak (l x min (-1); r = 0.53), and the second ventilatory turnpoint (l x min (-1); r = 0.68) measured during the progressive exercise tests. These data demonstrate that the assessment of 40-km cycle time-trial performance in well-trained endurance cyclists on a stationary wind-trainer is reproducible, provided the athletes perform a familiarization trial.

This study aimed to compare the performance of a new portable lactate analyser against other standard laboratory methods in three conditions, normal (20 +/- 1.3 degrees C; 40 +/- 5 % RH), hot (40 +/- 2.5 degrees C; 40 +/- 5 % RH), and humid (20 +/- 1.1 degrees C; 82 +/- 6 % RH) conditions. Seven healthy males, ([Mean +/- SE]: age, 26.3 +/- 1.3 yr; height, 177.7 +/- 1.6 cm; weight, 77.4 +/- 0.9 kg, .VO(2)max, 56.1 +/- 1.9 ml x kg x min(-1)) undertook a maximal cycle ergometry test to exhaustion in the three conditions. Blood was taken every 3 min at the end of each stage and was analysed using the Lactate Pro LT-1710, the Accusport, the Analox GM7 and the Kodak Ektachem systems. The MANOVA (Analyser Type x Condition x Workload) indicated no interaction effect (F(42,660), = 0.45, p > 0.99, Power = 0.53). The data across all workloads indicated that the machines measured significantly differently to each other (F(4,743) = 14.652, p < 0.0001, Power = 1.00). The data were moderately to highly correlated. We conclude that the Lactate Pro is a simple and effective measurement device for taking blood lactate in a field or laboratory setting. However, we would caution against using this machine to compare data from other machines.

Reliability of two different spiroergometric systems was investigated by comparing gas exchange measurements from two consecutive identical bicycle ergometer ramp exercise tests which were conducted after an initial habituation trial. Twenty-three healthy subjects (age: 25+/-5 years; weight: 71+/-10 kg; peak oxygen uptake: 55+/-9 ml x min(-1) x kg(-1)) took part in the study. One apparatus was a portable mixing chamber system (MetaMax I, Cortex, Leipzig, Germany), the other one a stationary spiroergometric device measuring in the breath-by-breath mode (MetaLyzer 3B, Cortex). There were no relevant systematic changes in gas exchange measurements and heart rate from test 1 to test 2. Intra-class reliability coefficients were 0.984 (oxygen uptake = VO2), 0.977 (carbon dioxide output = VCO2), and 0.973 (minute ventilation = VE) for the MetaMax I, and 0.969 (VO2), 0.964 (VCO2), and 0.953 (VE) for the MetaLyzer 3B. Bland-Altman plots revealed a slightly smaller variability of MetaLyzer 3B measurements compared to those of MetaMax I. It is concluded that the spiroergometric devices MetaMax I and MetaLyzer 3B represent reliable instruments for exercise testing in sports medical routine and research. This is important to decide if longitudinal changes in gas exchange measurements represent clinically meaningful differences in performance or merely inconsistencies of the measuring tool.

Total body water (TBW) and water turnover rates (WTR) of six competitive male cyclists (CG) and six age-matched sedentary men (SG) were determined using deuterium oxide dilution and elimination. During the 7 day study, individuals in the CG cycled daily outside on average 50 (range 12-146) km at an average speed of 29 km.h(-1), while the SG did no regular exercise. During the study, the weather was cool (10 [4-18]degrees C), mainly cloudy but dry. Daily average (median [range]) nude body mass remained essentially the same in the CG (77.25 [76.54-77.54] kg) and SG (65.04 [64.45-65.44] kg). Expressed as a percentage of body mass, median TBW of the CG (70.1 [65.5-73.9]%) was greater than that of the SG (63.5 [52.7-71.0]% ). Average median WTR was faster in the CG (47 [42-58] ml.kg.d(-1)) than the SG (36 [29-50] ml.kg.d(-1)). The average median daily urinary loss was similar in the CG (27 [22-33]ml.kg.d(-1)) and SG (29 [24-31]ml.kg.d(-1)). Calculated non-renal daily water loss was faster in the CG (19 [13-35] ml.kg.d(-1)) than the SG (6 [5-22] ml.kg.d(-1)), but there was no relationship between the average distance cycled daily and the WTR. This study demonstrates that WTR are faster in individuals undertaking prolonged exercise than in sedentary men, and that the difference was due to the almost three times greater non-renal water losses that the exercising group incurred. This suggests that exercise-induced increases in respiratory water loss and sweat rate are major factors in water loss even in cool environments.

An attempt was made to determine if state anxiety responses following acute exercise are influenced by the intensity of exercise. Fifteen adults (5 female, 10 male) completed 20 minute sessions of bicycle ergometer exercise on separate days at intensities equal to 40, 60, or 70 % VO 2peak . Expired gas spirometry was employed to determine peak oxygen consumption and to control the workload during the submaximal protocols. State anxiety (STAI-Y1) was assessed prior to and following each exercise session, and 5, 60 and 120 minutes post-exercise. Repeated measures ANOVA revealed that state anxiety decreased (p < 0.05) following each exercise condition. POST HOC analysis indicated that state anxiety was significantly (p

The purposes of this study were (I) to assess the reproducibility of endurance performance testing on an air-braked cycle ergometer, and (II) to compare laboratory performances to performances in road races. Ten well-trained, competitive cyclists (peak power output [PPO] 443 +/- 37 W, [values are mean +/- SD]) undertook either: (I) three 20 km and three 40 km time trials (TT) on an air braked ergometry system (Kingcycle) (n = 6), and/or (II) three 40 km laboratory TT and two 40 km road TT competitions (n = 8). The time taken for the laboratory simulated 20 km and 40 km TT rides were highly reproducible (coefficient of variation 1.1 +/- 0.9% and 1.0 +/- 0.5%, respectively). However, the mean power output and heart rate were significantly different (p < 0.0001) between the 20 km and 40 km TT (327.5 +/- 16.9 vs 303.9 +/- 14.9 W and 171.4 +/- 5.1 vs 168.3 +/- 4.4 beats/min, respectively). A strong relationship (r = 0.99, p < 0.001) was observed between the mean cycling time and the average sustained power output. A significant correlation (r = 0.98, p < 0.001) was also observed between laboratory and road race times, although road race times were, on average, some 8% slower. These findings indicate that the Kingcycle ergometry system can be used as a reliable method of assessing short term endurance cycling performance.

The purpose of this study was to compare the anaerobic performance of 11 - 12 year old prepubescent boys (stage 1; n = 18) using a maximal effort 90 s cycling test to that of adult men (n = 19). Performance was separated into short-term anaerobic power (SAP; work in 10 s), intermediate-term anaerobic capacity (IAC; work in 30 s) and long-term anaerobic capacity (LAC; work in 90 s). Resistance on the Monark cycle ergometer was chosen as the highest tolerable load for the 90 s test and set at 2.6 and 3.8 J · rev -1 · kg body mass -1 for boys and men, respectively. Power drop-off ( % PD) was determined as the change in 5 s power outputs from 0 - 90 s. Blood lactates were measured at rest (pretest; BL) and at 2 (BL2) and 5 (BL5) min post test. Absolute and relative (to weight or thigh volume) scores for SAC, lAC and LAC were 33 - 40 % lower in the boys compared to the men (p < 0.001). The men demonstrated significantly greater % PD over the 90 s (32.2 %) compared to the 25.3 % PD of the boys (p < 0.001), suggesting that the development of fatigue was greater in the men even though power and work outputs were high. Resting BL values were similar for both groups. Mean BL2 and BL5 were higher (p < 0.01) in the men (13.5, SD = 3.4; 12.5, SD = 2.8 mmol · l -1 ) than in the boys (9.1, SD - 1.7; 8.3, SD = 1.6 mmol · l -1 ). The anaerobic performace of the boys compared to the men cannot be completely explained by the lower resistance setting used. Although the boys were 50 % lighter than the men, their resistance was 70 % of that used for the men. The results do not support the contention that children and adults have similar abilities in short term, exhaustive work when corrected for size. Prepubescent boys appear to be limited in their ability to perform short-term as well as intermediate and long term anaerobic exercise compared to adult males.

The aim of this study was to record the forces applied to the pedal during ergometer cycling and to calculate the effectiveness of these force vectors. Six healthy subjects rode a weight-braked bicycle ergometer at different work loads, pedaling rates, saddle heights, and pedal foot positions. The left lower limb and crank motions were recorded by a cinefilm camera and pedal reaction forces by a Kistler force measuring transducer mounted on the left pedal. The force effectiveness was computed as a ratio between the force tangential to instantaneous direction of pedal movement and the resultant force. The mean force efficiency ratio significantly increased by an increase of the ergometer work load or use of the anterior foot position instead of the posterior. It was not significantly changed due to alterations of the pedaling rate or saddle height.

To study changes over time during prolonged exercise on a bicycle ergometer at a constant load, 22 healthy males rated perceived exertion as well as aches and pain in the legs, and measurements were taken on blood lactate accumulation and heart rate (HR). The prolonged exercise was carried out at WOBLA (the power level eliciting a blood lactate concentration of 4 mmol X l-1). All four measured variables, ratings of perceived exertion, ratings of aches and pain in the legs, blood lactate accumulation, and HR, grew systematically according to negatively accelerating functions. HR showed more of a steady state, whereas all the other three variables grew continuously over time. Three subgroups were identified related to the blood lactate response after 15 min at WOBLA: elevated (greater than 5 mmol X l-1), intermediate (3.5-4.9 mmol X l-1), and low (less than 3.4 mmol X l-1). It was suggested that a major contribution to the discrepancies in blood lactate between the subgroups after 15 min was partly due to insufficient warming up, which was 5 min at 20 W as compared with the final power level (WOBLA), which differed between 140 and 260 W. After 15 min both rated perceived exertion and rated aches and pain in the legs were related to the corresponding blood lactates. It was suggested that rated perceived exertion and rated aches and pain in the legs partly reflected the degree of "anaerobic" metabolism measured as blood lactate.

This investigation was undertaken to determine whether human skeletal muscle buffer capacity (BCm) is affected by training. Eight untrained males participated in 8 weeks of sprint training on bicycle ergometers. Muscle biopsy samples were taken from the vastus lateralis before and at several times following an incremental bicycle ergometer test (0 min, 5 min, 15 min). These subjects were tested before (PRE) and following (POST) the training period. Seven endurance-trained cyclists (ET) were also tested for the purpose of comparing the BCm of ET to that of PRE and POST. Biopsy samples were quick-frozen in liquid nitrogen and later analyzed for lactate concentration (HLam), homogenate pH (pHm), and creatine phosphate concentration. BCm was calculated from the change in HLam and pHm observed from rest to exhaustion and was expressed as mmol X kg-1 X pH-1 (Slykes). There was no significant difference in resting HLam or resting pHm among the groups. There was a significant difference in HLam at exhaustion between PRE (21.41 +/- 1.65 mmol X kg-1), POST (25.61 +/- 2.38 mmol X kg-1), and ET (11.16 +/- 0.31 mmol X kg-1) but no significant difference in pHm at exhaustion between PRE (6.65 +/- 0.03 pH units) and POST (6.69 +/- 0.06 pH units). pHm at exhaustion for the ET group was significantly higher than the others at 6.91 +/- 0.02 pH units. A significant difference between PRE and POST BCm was found (PRE: 44.68 +/- 3.03 S1; POST: 61.04 +/- 4.11 S1) while ET BCm (47.21 +/- 7.26 S1) was not significantly different from PRE. These data indicate that muscle buffer capacity is increased with highly intense sprint training but provide no evidence to suggest that muscle buffer capacity is affected by endurance training.

Six eumenorrheic females (age = 26.3 +/- 2.4 yrs; X +/- SE) exercised until exhaustion (EE; 70% VO2max) at the midluteal (LP, 7-8 days after ovulation) and midfollicular (FP, days 7-8) phases of their menstrual cycles. Phases were confirmed by estradiol and progesterone concentrations. Each EE test was preceded by a depletion exercise bout (DE; 90 min, 60% VO2max and 4 x 1 min, 100% VO2max) and 3 days of rest/diet control. Muscle biopsies 1% (vastus lateralis) were taken post-DE, pre-EE, and post-EE and then analyzed for glycogen content. There was a strong tendency (P less than 0.07) for EE duration to be greater during LP (139.2 +/- 14.9 min) than FP (126 +/- 17.5 min). Glycogen repletion (pre-EE minus post-DE) following DE was greater (P = 0.05) during the LP than FP (88.2 +/- 4.7 vs 72.8 +/- 5.7 mumol/g w. w. muscle). However, EE glycogen utilization (pre-EE minus post-EE/EE time) did not differ between phases (LP = 0.41 +/- 0.08 mumol/g w. w. muscle/min vs FP = 0.33 +/- 0.11 mumol/g w. w. muscle/min; P = 0.17). The results suggest that exercise performance and muscle glycogen content are enhanced during the LP of the menstrual cycle. These findings imply athletic performance may be affected by the phases of the menstrual cycle.

Oxygen consumption was determined for subjects cycling on a hometrainer roller with a racing bicycle. In part of the experiments the bicycle was supplied with an air-resistance simulator. The relation between oxygen consumption and velocity of cycling on the roller is linear: similar to that during bicycle ergometry. The relation is almost the same as during bicycling outdoors on a touring bicycle when the simulator is used while cycling on the roller. Cycling with the simulator only on the bicycle on a support is comparable to cycling outdoors on a racing bicycle. It is concluded that the use of a roller and an air-resistance simulator can be used for ergometry and training.

In 72 11-year-old male and female children the anaerobic threshold (AT) was determined on a treadmill with the invasive method of the lactate test. After a break of 45 min an alternative method for determining AT on a bicycle ergometer was used. A loading method with an increment of 10 W/min was chosen. At AT a characteristic deflection from linearity in the heart rate could be recorded. The comparison between the heart rate at the point of deflection and the heart rate at AT determined invasively shows an outstandingly high correlation (r = 0.98; P less than 0.0001). Consequently, the authors came to the conclusion that it is possible to use the deflection from linearity of the heart rate in tests on bicycle ergometer for training optimization in 11-year-old children if the proper degree of load increase is chosen. This simple method can substitute a more laborious invasive way of determining AT.

The effect of a 40-week training program on the anaerobic threshold (AT) was studied in five subjects (35 +/- 5 yrs). The training program consisted of a bicycle ergometer exercise 1 h per day 3 days a week at a work load corresponding to 80%-85% of VO2 max. Before training (S0) and at the 10th, 20th, 30th, 40th weeks (S10, S20, S30, S40) of the training program, ventilatory AT (AT vent), lactate AT (AT lact), and 4 mmol AT were estimated using a graded exercise test. In the same period, another test (1) to determine VO2 max, maximal work load (MWL), and net efficiency (2) and a 1-h endurance exercise requiring 85%-90% of VO2 max were performed. After training, AT increased significantly by 10%, 11%, and 18% in AT vent, AT lact, and AT 4 mmol, respectively. MWL and net efficiency increased by 22% and 14% respectively, and there was no significant increase in VO2 max. The AT increase at S20 was delayed as compared to the change in MWL (S10). It is hypothesized that an AT increase provides good evidence for modifications of the muscular oxidative capacities during an endurance training program. A part of this paper is devoted to (1) the study of the reproducibility of AT estimation, (2) a comparison to other methods for determining the definition of AT, and (3) the correlations between the three methods utilized for AT estimation.

The purpose of this study was to investigate the physiologic and metabolic parameters of speed-skaters with different training regimes and performance level and examine some physiologic prerequisites for speed-skating. The subjects were 25 male speed-skaters including members of the 1984 Japanese National Speed Skating Team whose ages ranged from 19 to 25 years. Aerobic threshold (AerT), anaerobic threshold (AnT), and VO2max were determined during a progressive bicycle ergometer exercise. The power was increased by 12.25 W every 3 min to exhaustion. AerT was determined using gas exchange variables; nonlinear increase in VE and VCO2, and peak VO2.VE-1. AnT was estimated from breakaway VE and the onset of decrease in FECO2.VO2max was measured during another incremental exercise on a bicycle ergometer. Mean AerT, AnT, and VO2max for skaters (n = 25) were 2.47 +/- 0.36.min-1 (61.1 +/- 7.2 %VO2max), 2.93 +/- 0.33.min-1 (73.4 +/- 5.9 %VO2max), and 4.06 +/- 0.42.min-1, respectively. All-arounders had higher AerT values but the same VO2max as sprinters. AnT of all-arounders was significantly higher than those of sprinters. A significant difference between the top ten elite skaters and the other skaters (n = 15) was found only in VO2max expressed as l.min-1. However, no significant correlation was noted between measured physiologic variables (AerT, AnT, and VO2max) and performances expressed as mean velocities at various events.(ABSTRACT TRUNCATED AT 250 WORDS)

To determine the effects of differing pedal frequencies on VO2 and work output values at the lactate threshold (LT), fixed blood lactate concentrations of 2 mM and 4 mM (2 mM, 4 mM), and at max, nine male competitive road racing cyclists (USCF category I or II) completed three VO2 max tests; on a Monark bicycle ergometer, at pedal frequencies of 60, 90, and 120 rpm. Each stage was 3 min in duration, starting at 0 kgm/min with subsequent stages increased by either 180 kgm/min (60 and 120 rpm) or 178 kgm/min (90 rpm). Blood samples were taken during the last 30 s of each stage. VO2 and work output at LT, 2 mM, and 4 mM were determined from individual blood lactate-work rate and VO2-work rate relationships. VO2 max and maximal work output were chosen as the peak values observed during the VO2 max tests. Results indicated that work output at LT, 2 mM, and 4 mM was affected by choice of pedal frequency (1278, 1140, 999 kgm/min at LT; 1533, 1450, 1182 kgm/min at 2 mM; 1780, 1703, 1487 kgm/min at 4 mM; for 60, 90, and 120 rpm, respectively, P less than 0.05). Max work output at 60 and 90 rpm was significantly greater (P less than 0.05) than at 120 rpm (2035, 2053, 1879 kgm/min for 60, 90, and 120 rpm, respectively).(ABSTRACT TRUNCATED AT 250 WORDS)

A comparison between maximal power output during cycling and skating was made, and correlates of skating performance with bicycle performance and skating technique were investigated. Twenty-five well-trained speed skaters performed two bicycle tests and a 500-m and 1500-m ice skating race. The power (P) during skating is calculated from ice and air friction losses: at 500 m P500 = 344 +/- 60 W and at 1500 m P1500 = 283 +/- 65 W. Stroke frequency and pre-extension knee angle as principle determining factors of P were determined. The two bicycle tests (of 30" and 2'30" duration, maximal performance) yield P30C = 875 +/- 86 W and P2.30C = 420 +/- 52 W with VO2max = 4.76 +/- 0.45 l/min. The highest correlate of P500 as well as of P1500 appeared to be P30C, respectively, r = 0.78 and r = 0.85. Correlation coefficients between the power during skating and P2.30C or VO2max have a value of about 0.6. If the stroke frequency and P30C are correlated with the power during skating, then high multiple correlation coefficients are obtained: at 500 m R = 0.85 and at 1500 m R = 0.90. The correlation of P30C suggests that the interindividual differences of skating performance at 500-m and 1500-m distances can be attributed substantially to differences in anaerobic power. Yet, the predictive value of the bicycle test for speed skating performance is low. The difference observed between maximal power output during cycling and skating is discussed.

G. A. Marion and L. A. Leger, Energetics of lndoorTrack Cycling in Trained Competitors. lnt J Sports Med, Vol 9, No 3, pp 234-239, 1988 Accepted: December 10, 1987 Steady-state track V02 was estimated by means of the retroex­ trapolation method in seventeen competitive male cyclists at speeds ranging from 28 to 43 km· h- 1 . Peak V02 was also deter­ mined using an ergocycle multistage test (80 rev· min-\ Results showed large V02 variations at similar speeds on the track (SEE > 10 % Y; n = 17). Third degree regressions were the most accu­ rate to describe the evolution of V02 with speed, while the units 1 k -0.667 . -1 h d . m · g ·mm s owe better correlat1ons and lower disper- sions than 1 • min-1, ml.kg- 1 • min- 1 , and 1 • min- 1 . m- 2 . When cate­ gorized according to the Quebec Cycling Federation ranking, (elites: n = 6; nonelites: n = 11), the elites tendedto demonstra­ te a lower mean V02 for the range of velocities studied. The diffe­ rence was, however, not statistically significant (P> 0.05). lnte­ rindividual variations were reduced by expressing V02 and speed as relative percentages of maximal values in ten subjeets: % MAP = 6.475 e exp (0.0274% MAS) where % MAP = track V02/laboratory peak V02, and% MAS= speed/speed associa­ ted with peak V02 on the track. No significant difference was ob­ served between track and ergocycle peak V02 (P > 0.05), indi­ cating the validity of the 80 rev.min- 1 protocol for laboratory eva­ luation of racing cyclists. The concept of cycling economy as a contributing factor to performance and applications of the % MAP- % MAS relationship are discussed.

The anaerobic threshold (theta an) is defined as the VO2 at which blood lactate concentration [lactate] begins to systematically increase (lactate "break point") during incremental exercise. Numerous studies have shown that gas exchange break points at the anaerobic threshold correlate highly (r congruent to 0.90) with the lactate break point. Recently, it has been suggested that the anaerobic threshold occurs at a fixed [lactate] of 2 mM or 4 mM. We therefore compared the gas exchange theta an to the three lactate criteria (break point, 2 mM, and 4 mM) for theta an estimation. Fourteen subjects performed an incremental cycle ergometer test. Ventilation and gas exchange were computed every 30 s. During the same 30-s intervals, venous blood was sampled for [lactate]. Four criteria were used for theta an determination: (1) systematic increase in VE/VO2, without a concomitant increase in VE/VCO2; (2) lactate break point; (3) 2 mM [lactate]; and (4) 4 mM [lactate]. Relative to the gas exchange criterion (i.e., #1), theta an was higher by 44, 280, and 1028 ml X min-1 for the three lactate criteria, respectively; the last two being significantly different (P less than 0.05). Thus, the anaerobic threshold discerned from gas exchange or the lactate break point does not correspond with a fixed, absolute [lactate] of 2 mM or 4 mM.

When sweat rates are sufficiently elevated, i.e., in high ambient temperatures or during exercise, due to potential losses of sweat by runoff, the whole body washdown technique of sweat collection is considered invalid in all but low humidity environments. This paper describes a modification of this technique that makes its use possible in moderate to high humidity environments. During exercise, sweat loss by runoff was minimized by maximizing evaporation of sweat (subjects wore little clothing and electric fans were utilized) and by drying the surface of the body when sweat became excessive (with small hand towels). Sweat rate was calculated from weight changes with appropriate corrections. Total sweat content and concentration of urea N were determined from the rinsings of the body, hand towels, and clothing. To validate this procedure, runoff sweat that was not collected was estimated from the weight change of collecting towels positioned under a bicycle ergometer. Eight subjects exercised at approximately 60% VO2max for 30 min in 22.6 degrees +/- 0.46 degrees C (means +/- SD) and 66.1% +/- 2.34% RH. Volume of sweat secreted was 581 +/- 31 ml (1.162 +/- .062 l X h-1; means +/- SE). Sweat content of the collecting towels (corrected for evaporation loss) was 4.675 ml (0.8%) of total sweat rate), indicating that it is possible to prevent significant sweat loss with this procedure. Moreover, we have found that this procedure can be employed with little difficulty at exercise intensities up to approximately 75% VO2max, in RH of approximately 70%, and with sweat rates as high as 1.65 l X h-1.(ABSTRACT TRUNCATED AT 250 WORDS)

Considerable interindividual variation in the response of blood pressure to exercise has been found. In this study the response of systolic blood pressure during a progressive maximal bicycle ergometer test was investigated in 747 physically active male subjects over age of 40 years with normal, borderline elevated, and elevated resting blood pressure. The influence of several subject characteristics on this response was studied: 53% of variation in exercise systolic blood pressure (eSBP) could be explained by work load, pre-eSBP, and maximal working capacity (Wmax). No difference in the slope of eSBP during the exercise test was seen between the three groups. Subjects with higher Wmax had lower systolic blood pressures at the same work load compared with subjects with a lower Wmax. Subjects in the elevated blood pressure group had significantly lower Wmax, although maximal heart rate and lactate were similar. Other variables were not significantly associated with eSBP.

Sixteen competitive athletes in long-distance running (n = 8) and cycle racing (n = 8) performed three maximal exercise tests on the treadmill as well as on the bicycle ergometer. The test protocol for both ergometers was similar in work intensity and duration. The results obtained at the maximum work load were compared between and within the two groups of athletes. Comparing treadmill to bicycle exercise, the oxygen uptake was 14% higher on treadmill in the long-distance runners, but equal in the cycle racers. The work efficiency on both types of ergometers showed a clear relationship with the training activity: the cycle racers worked more efficiently on the bicycle ergometer while the results of the long-distance runners were better on the treadmill. Heart rate and minute ventilation reached similar values in the cycle racers on both ergometers, but treadmill exercise induced higher values in the long-distance runners as compared to cycling. Opposite results were found in the variables of the acid-base balance: lactate concentration and base excess reached similar values (13 and -14 mmol l-1, respectively) in the long-distance runners on both ergometers, but in the cycle racers bicycle exercise induced higher values than running. From these results it can be concluded that congruence between the mode of ergometer exercise and the sport activity improves the validity of the test result.

Eight untrained men performed 15-s and 60-s high-intensity exercise on a bicycle ergometer. Activities of the creatine kinase (CK) and lactate dehydrogenase (LDH) were measured in blood 3 min and 2, 6, and 24 h after cessation of exercise. The results indicate that anaerobic exercise induces a transient increase in plasma LDH activity and a more prolonged elevation in plasma CK activity. A negative correlation was found between CK activity measured before and 3 min after exercise and mean power, and total external work performed in both test types. A similar correlation was ascertained between pre- and post-exercise CK activity and maximal power output measured in the 60-s test. After the 15-s exercise test, only post-exercise plasma CK activity was negatively correlated with the maximal power output.