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PP-TT02 Training and Testing 2<br />

Borg’s scale (4) and a Visual Analogue Scale (VAS) at 30’ after the end <strong>of</strong> competition. The maximun heart rate was determined using<br />

Tanaka’s formula (208 - 0.7*age). Mean, standard deviation and Spearman’s correlation were used for data analysis<br />

Results: Mean RPE using Borg’s scale (4.8 ±1.6) was strongly correlated with VAS (68 ±8) (r=0,87)<br />

HR expressed as percent HRmax showed very high values throughout the whole race, with a uniform trend: 1st quarter 90.7 ±6.2 %(157.8<br />

bpm ±14.4); 2nd quarter 93.3 ±6.0% (162.0 bpm ±7.2); 3rd quarter 95.8 ±4.8 %(166.5 bpm ±7.0); 4th quarter 98.1 ±6.2% (170.7 bpm<br />

±13.3) (fig.2). The performance <strong>of</strong> the present competition was 93.9% ±3.2 <strong>of</strong> their personal best (1h 21’ 01” ± 2’08”)<br />

Discussion: Athletes that are trained to perceive their fatigue can use either scale, or VAS or the Borg scale that were strongly correlated.<br />

However, the perception <strong>of</strong> fatigue data do not correlate with the HR measured during competition that was always above 90% <strong>of</strong> their<br />

HRmax. At the moment the athletes are asked to answer to the two different scales, most probably the sensation <strong>of</strong> fatigue is strongly<br />

reduced also by the satisfaction <strong>of</strong> a positive result and does not reflect the real fatigue they were actually feeling during competition.<br />

References<br />

1. Esteve-Lanao J., San Juan A. F., Earnest C.P., Foster C., Lucia A.: How do endurance runners actually train? Relationship with competition<br />

performance. Medicine & <strong>science</strong> in <strong>sport</strong> & exercise 0195-9131/05/3703-0496. (2005)<br />

2. Esteve-Lanao J., Foster C., Seiler S., Lucia A.: Impact <strong>of</strong> training intensity distribution on performance in endurance athletes. Journal <strong>of</strong><br />

strength and conditioning research. 21(3). 943-949 (2007)<br />

3. Achten J., Jeukendrup E. A.: Heart Rate Monitoring Applications and Limitations. Sports Med 33 (7): 517-538. (2003)<br />

4. Foster C., Florhaug A. J., Franklin J., Gottschall L., Hrovatin A. L., Parker S., Doleshal P., Dodge C.: A New Approach to Monitoring Exercise<br />

Training. Journal <strong>of</strong> Strength and Conditioning Research, 15(1), 109–115. (2001)<br />

COMPARISON OF PHOTOCELL AND OPTOJUMP MEASUREMENTS OF MAXIMAL RUNNING VELOCITY<br />

DOLENEC, A., COH, M.<br />

UNIVERSITY OF LJUBLJANA, FACULYT OF SPORT<br />

Due to additional data on the stride length, the contact and flight times, a combination <strong>of</strong> photocells and optojump (OJ) measurements<br />

are lately being used to measure running velocity. As both systems are used to measure velocity, this research focused to ascertain<br />

whether velocity measurement results obtained by either photocells or by OJ are the equivalent.<br />

The research involved 17 sprinters (11 male and 6 female). Their average best score in a 100 m run was 11.24 s (+-0.56), the age 19.9 years<br />

(+-3.4), height 1.74 m (+- 7.4), weight 65.6 kg (+-7.57). Each <strong>of</strong> them performed two sprints <strong>of</strong> 20 meters, flying start. For further analysis,<br />

the fastest sprint measured with the photocells was used. The velocity was simultaneously measured by the photocells (Brower timing,<br />

USA) and OJ (Microgate, Italy). The photocells were installed at four consecutive, 5 meters long sections. Photocells were installed at a 1.14<br />

meter height. The OJ was installed from the first to the last pair <strong>of</strong> photocells. In measurements with OJ, foot contact closest to the photocells<br />

was used to determine the beginning and the end <strong>of</strong> an individual section. A t-test for related samples was used to compare the<br />

variables measured by photocells and by OJ. The ANOVA test was used to test the differences among the variables that were measured<br />

with the same method.<br />

In measurements with photocells, the running velocity on the 10- to 15-meter section was 10% higher than the running velocity on 0- to 5meter<br />

section. On the 0- to 5-meter section, the measured velocity was statistically significantly lower than the velocities measured on<br />

other sections. In OJ measurements, there were no statistically significant oscillations in velocities as per individual sections. Velocities<br />

measured with photocells and OJ statistically significant differed on two sections. The velocity measured with photocells on the 0- to 5metre<br />

section was statistically significantly lower than the velocity measured with OJ. While on the 10- to 15-meter sections, the situation<br />

was just the opposite. Regardless <strong>of</strong> the section length (5, 10, 15, or 20 m), the average speed measured with the photocells was always<br />

statistically significantly lower than the average velocity measured with OJ.<br />

The results <strong>of</strong> maximal velocity measurements with single beam photocells installed 1.14 meters high cannot be compared to results <strong>of</strong><br />

maximal velocity measurement done by OJ in cases when the measurement sections are 5 to 20 meters long. Further researches should<br />

be carried out in order to ascertain which <strong>of</strong> the timing system gives the results that would be closer to the actual centre <strong>of</strong> mass velocity.<br />

CREATINE KINASE MONITORING AND PERFORMANCE DURING 3 WEEKS OF HIGH ALTITUDE TRAINING IN ELITE MID-<br />

DLE AND LONG DISTANCE RUNNERS<br />

SPERLICH, B., ACHTZEHN, S., DE MAREES, M., MESTER, J.<br />

GERMAN SPORT UNIVERSITY COLOGNE<br />

INTRODUCTION: Creatine kinase (CK) is a highly sensitive marker for muscle damage. It is well known that a wide range <strong>of</strong> exercise<br />

modalities such as high-intensity, volume training, and especially weight-bearing eccentric exercise cause the greatest rises in CK. Usually<br />

peak values are seen 24-48 hour after such exercise. Therefore a daily monitoring <strong>of</strong> CK and other exercise relevant strain markers<br />

could facilitate coaches in controlling training load. Especially, middle and long distance runners perform training camps in order to<br />

increase performance. Within these, training volume and/or intensity increases considerably compared to “normal” training procedures.<br />

Until today no clear consensus exists on which threshold <strong>of</strong> CK elevation correlates with changes in performance as well as other monitoring<br />

parameters.<br />

METHOD: 9 (2 female) highly trained middle and long distance runners from the German National Track and Field team were monitored<br />

daily during a training camp at 2100m altitude. Values for CK, resting heart rate (HR) and body weight (BW) were collected in the morning<br />

hours between 7AM and 9AM. Additionally all athletes had to rate their overall body perception (BP) and quality <strong>of</strong> sleep (QS) on a six<br />

point scale (1=very good, 6=very poor). Running speed (V3) at 3 mmol/l blood lactate was assessed before and after the training camp.<br />

All middle and long distance runners performed the same amount <strong>of</strong> training session. Each athletes performed two to three training<br />

session per day. One day with less training volume and intensity was set after 3-5 consecutive days depending on training advancement.<br />

Training intensity was controlled by heart rate, lactate values as well as CK and perceptual values. One-two days <strong>of</strong> degraded BP and QS<br />

accompanied by elevated CK resulted in a reduction <strong>of</strong> intensity or training volume.<br />

RESULT: V3 increase form 4.4±0.2 pre to 4.6±0.2. Baseline values for CK in mean were 163.1±43.8 U/L ranging from 96-241U/L. Highest<br />

values during the three weeks were found at day 17 <strong>of</strong> 20 ranging from 233 to 679 U/L. Mean CK Values for all athletes in three<br />

weeks was 346.5±146.5 U/L. The individual CK kinetics over the complete period <strong>of</strong> time revealed individuals with generally lower CK<br />

values 223 vs. individuals with considerably higher CK values (501 U/L) but same work load. Despite clear mean increase in CK body<br />

228 14 TH<br />

ANNUAL CONGRESS OF THE EUROPEAN COLLEGE OF SPORT SCIENCE

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