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Biomechanics and Medicine in Swimming XI

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<strong>Biomechanics</strong><strong>and</strong>medic<strong>in</strong>e<strong>in</strong>swimm<strong>in</strong>gXi<br />

Some Factors Limit<strong>in</strong>g Energy Supply <strong>in</strong> 200m Front<br />

Crawl Swimm<strong>in</strong>g<br />

strumbelj, B., usaj, A., Kapus, J., Bednarik, J.<br />

University of Ljubljana, Faculty of Sport, Ljubljana, Slovenia<br />

The aim of this research was to establish whether any measured factors<br />

could limit energy supply on 200 m front crawl swimm<strong>in</strong>g. Twelve<br />

male swimmers performed 4 swims of 200 m crawl at <strong>in</strong>tensities of 80%,<br />

90%, 100% <strong>and</strong> 110% (until exhaustion) on separate days with a swimm<strong>in</strong>g<br />

snorkel. Respiratory parameters (V E , Vo 2 ), blood parameters (pH,<br />

[LA - ]) <strong>and</strong> heart rate (HR) were measured. The results demonstrate that<br />

limitations <strong>in</strong> V E , Vo 2 <strong>and</strong> HR dur<strong>in</strong>g swimm<strong>in</strong>g occur dur<strong>in</strong>g supra<br />

maximal swims (no further <strong>in</strong>crease of measured maximal parameters<br />

<strong>and</strong> time constant parameters) <strong>in</strong> comparison to maximal swims. Limitations<br />

<strong>in</strong> obta<strong>in</strong>ed maximal [LA - ] <strong>and</strong> m<strong>in</strong>imal pH values were found.<br />

It is possible to conclude that <strong>in</strong>dividual limitations <strong>in</strong> V E , Vo 2 , HR<br />

<strong>and</strong> consequently acidosis could be limit<strong>in</strong>g factors of <strong>in</strong>dividual<br />

performance on 200 m front crawl because of energy supply limitations.<br />

Key words: swimm<strong>in</strong>g, front crawl, energetics, maximal, supra maximal<br />

performances<br />

IntroductIon<br />

Maximal performances <strong>in</strong> swimm<strong>in</strong>g depend on the maximal metabolic<br />

power of the athlete <strong>and</strong> on the economy of locomotion. The amount of<br />

metabolic energy spent <strong>in</strong> transport<strong>in</strong>g the body mass of the subject over<br />

a unit of distance has been def<strong>in</strong>ed as the energy cost of locomotion (di<br />

Prampero, 1986). Energy dur<strong>in</strong>g swimm<strong>in</strong>g is estimated as the sum of<br />

the energy derived from alactic (AnAl), lactic (AnL) <strong>and</strong> aerobic (Aer)<br />

processes. The amount of metabolic energy spent dur<strong>in</strong>g supra maximal<br />

swims (E, kilojoules) was assumed to be the sum of three terms:<br />

E = Ean + αVO2maxtp + αVO2max π(1 – e –t<br />

p π -1 )<br />

where α is the energy equivalent for O2 , assumed to be equal to 20.9<br />

kJ . l-1 , π is the time constant for the atta<strong>in</strong>ment of VO2max from the<br />

onset of exercise, Ean is the amount of energy derived from the use of<br />

anaerobic energy stores, tp is the performance time, <strong>and</strong> V O2max (litres<br />

per second) <strong>in</strong>cludes VO2 at rest (Capelli et al. 1998). Energy cost of<br />

front-crawl swimm<strong>in</strong>g (Capelli et al., 1998; Zamparo et al., 2000, Poujade<br />

et al., 2002) <strong>and</strong> factors affect<strong>in</strong>g energy cost at different <strong>in</strong>tensities<br />

of swimm<strong>in</strong>g were studied <strong>in</strong> many researches (Lavoie <strong>and</strong> Montpetit<br />

1986; Toussa<strong>in</strong>t <strong>and</strong> Holl<strong>and</strong>er 1994). However, little evidence was<br />

found that some of the before mentioned factors could represent limits<br />

<strong>in</strong> energy supply with <strong>in</strong>creas<strong>in</strong>g swimm<strong>in</strong>g velocity <strong>and</strong> consequently<br />

limits <strong>in</strong> performance.<br />

The aim of this study was to establish whether measured aerobic <strong>and</strong><br />

anaerobic lactate parameters could limit energy supply for 200m front<br />

crawl <strong>and</strong> consequently affect the performance dur<strong>in</strong>g supra maximal<br />

swimm<strong>in</strong>g.<br />

Methods<br />

Twelve male swimmers (age: 24 ± 3 yrs; height: 181 ± 9 cm; body mass:<br />

77 ± 13 kg) volunteered to participate <strong>in</strong> this study. All subjects had a<br />

m<strong>in</strong>imum of eight years competition swimm<strong>in</strong>g experience <strong>and</strong> considered<br />

front crawl their best stroke. The subjects were <strong>in</strong>formed of the risks<br />

<strong>in</strong>volved <strong>in</strong> the experiment before they agreed to participate.<br />

All swims were performed us<strong>in</strong>g the front crawl stroke <strong>in</strong> a 25 m<br />

<strong>in</strong>door swimm<strong>in</strong>g pool. The temperature of the water was 27° C. Each<br />

swimmer performed 4 swims of 200 m crawl at <strong>in</strong>tensities of 80%, 90%,<br />

100% <strong>and</strong> 110% (until exhaustion) on separate days with a swimm<strong>in</strong>g<br />

snorkel (Toussa<strong>in</strong>t et al. 1987). First, the swimmers performed a maximal<br />

200 m front crawl swim. Thereafter, they performed sub/maximal<br />

228<br />

swims with 80% <strong>and</strong> 90% of maximal 200 m front crawl velocity. F<strong>in</strong>ally,<br />

the swimmers performed a supra-maximal swim with 110 % velocity<br />

until exhaustion (on average they were able to swim 113.8 ± 17.0 m)..<br />

A light leader was used to keep even pace dur<strong>in</strong>g swimm<strong>in</strong>g with submaximal<br />

<strong>and</strong> supra-maximal <strong>in</strong>tensities.<br />

Arterial blood samples (20 µl) were collected from the earlobe after<br />

a warm up <strong>and</strong> at 1, 3 <strong>and</strong> 5 m<strong>in</strong>utes of recovery after swimm<strong>in</strong>g <strong>and</strong><br />

analyzed for blood lactate concentration ([LA-]) us<strong>in</strong>g a Kodak Ektachrome<br />

analyzer. At the same time, arterial blood samples (60 - 80 µl)<br />

were collected <strong>and</strong> analyzed for pH with an ABL5 analyzer (Radiometer<br />

Copenhagen). Calibration of the equipment was performed every<br />

six samples with st<strong>and</strong>ard lactate <strong>and</strong> pH solution, respectively. Maximal<br />

measured [LA-] <strong>and</strong> m<strong>in</strong>imal pH obta<strong>in</strong>ed values were analyzed.<br />

Ventilation (VE) <strong>and</strong> O2 uptake (VO2) were measured us<strong>in</strong>g a<br />

portable respiratory gas analyzer METAMAX 2 (Cortex, Germany)<br />

adapted to measurements with a swimm<strong>in</strong>g snorkel made by Toussa<strong>in</strong>t<br />

et al.(1987). Average data for every 10-s period were recorded after<br />

warm up, dur<strong>in</strong>g swimm<strong>in</strong>g <strong>and</strong> 5 m<strong>in</strong>utes after the end of each swim.<br />

The flow meter was calibrated with a syr<strong>in</strong>ge of known volume (3.0 l).<br />

The gas analyzer was calibrated by known st<strong>and</strong>ard gases.<br />

Heart rate (HR) was measured us<strong>in</strong>g heart rate monitors POLAR<br />

S-610 (Polar, F<strong>in</strong>l<strong>and</strong>). Average data for 10 –s period were recorded<br />

after warm up, dur<strong>in</strong>g swimm<strong>in</strong>g <strong>and</strong> 5 m<strong>in</strong>utes after the end of each<br />

swim. From all obta<strong>in</strong>ed data of heart rate values <strong>in</strong> the rest were excluded<br />

to observe relative change.<br />

Means <strong>and</strong> st<strong>and</strong>ard deviations were computed for all variables. Individual<br />

one-way repeated measures ANOVAs were employed to test<br />

for any significant differences between the measured parameters. Significance<br />

was accepted when p

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