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Thursday-Abstracts

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Official Journal of the American College of Sports Medicine<br />

rEsuLTs: On-ice practice time gradually increased as the season progressed<br />

from 102.0 ± 0 minutes preseason to 131.2 ± 23.4 minutes during the final month.<br />

Off-ice training time decreased from 141.4 ± 66.4 minutes preseason to 31.0 ± 27.8<br />

minutes during the final month. Intensity of both on and off-ice training decreased<br />

from preseason into the season and as the season progressed (percentage of on-ice<br />

practices at 90-100% of maximal HR: 15.6 ± 10.6 preseason vs. 1.2 ± 1.7 final<br />

month, percentage of off-ice training sessions from 90-100% of maximal HR:10.1 ±<br />

9.3 preseason vs. 1.3 ± 4.2 final month). Percentage of game time spent in each HR<br />

zone indicated similar intensity for each period, including 9% of game time spent at<br />

90-100% of maximal HR. Preseason off and on-ice training/practices most closely<br />

resembled game HR zone averages.<br />

CONCLusION: Intensity of preseason training closely simulates game intensity. Inseason<br />

training is less intense than games and decreases as the season progresses.<br />

1765 May 30, 4:30 PM - 4:45 PM<br />

Tracking Changes In Body Composition Within Elite<br />

Wheelchair Basketball Players<br />

Mhairi Keil1 , Alan M. Batterham, FACSM2 , Vicky Goosey-<br />

Tolfrey3 . 1English Institute of Sport/Loughborough University,<br />

Birmingham, United Kingdom. 2Teesside University, UK,<br />

Middlesborough, United Kingdom. 3Loughborough University,<br />

Loughborough, United Kingdom.<br />

(No relationships reported)<br />

Practical methods for monitoring body composition changes are important when<br />

preparing wheelchair basketball players for competition.<br />

PurPOsE: To evaluate the tracking of within-athlete changes in criterion measures<br />

of body composition (dual energy X-ray absorptiometry; DXA) with simple skinfold<br />

thickness measures over a 15-month competitive training period.<br />

METhOds: Participants were male Great Britain Wheelchair Basketball players<br />

(n=16) who underwent body composition assessments at 5 time points over 15 months.<br />

The primary outcome was DXA-derived body fat percentage, with sum of 4, 6, or 8<br />

skinfolds (mm) as the predictor variable. Data were analysed using a linear mixed<br />

model (random slope and intercept) to derive the within-athlete typical error of the<br />

estimate in predicting criterion body fat percentage from sum of skinfolds. This typical<br />

error allowed us evaluate how well a simple measure of the sum of skinfolds could<br />

track criterion changes in body fat percentage; that is, we derived the change in sum<br />

of skinfolds that would have to be observed in an individual athlete to conclude that<br />

a substantial change in body fat percentage had occurred (greater than the minimum<br />

important difference given by a standardised mean difference of 0.2 standard<br />

deviations). All data were log-transformed prior to analysis.<br />

rEsuLTs: The sum of 8 skinfolds was the most precise practical measure for<br />

tracking changes in body fat percentage. The within-subject correlation (r) between the<br />

sum of 8 skinfolds and DXA body fat percentage was 0.86 (95% confidence interval,<br />

0.81 to 0.90). For the monitoring of an individual male wheelchair basketball player,<br />

a change in sum of 8 skinfolds by a factor of greater than 1.13 (multiply or divide by<br />

1.13) is associated with a practically meaningful change in body fat percentage. For<br />

example, an athlete whose sum of 8 skinfolds decreased from 114 mm to 100 mm (a<br />

reduction greater than 114/1.13) could be said to have become leaner. Reductions in<br />

sum of skinfolds lower than this value would be considered trivial, given the typical<br />

prediction error observed.<br />

CONCLusIONs: A measure of the sum of 8 skinfolds can track changes in body fat<br />

percentage within individual wheelchair athletes with adequate precision, providing a<br />

useful field monitoring tool in the absence of often impractical criterion measures.<br />

1766 May 30, 4:45 PM - 5:00 PM<br />

differences In skeletal Muscle Contractile Properties among<br />

Power and Endurance Elite athletes<br />

Irineu Loturco1 , Hamilton Roschel2 , Carlos Ugrinowitsch2 ,<br />

Cristiano Laurino3 , Saulo Gil1 , Ronaldo Kobal1 , Valmor Tricoli2 .<br />

1Pão de Açúcar Group - Nucleus of High Performance in Sports,<br />

São Paulo, Brazil. 2University of São Paulo, São Paulo, Brazil.<br />

3BM&F - Bovespa Track & Field Club, São Paulo, Brazil.<br />

(No relationships reported)<br />

Measurements of muscle belly responses to electrical stimuli using a displacement<br />

sensor provide valuable information about the skeletal muscle contractile properties.<br />

In this regard, it has been proposed that muscle contraction time (Tc) could be used as<br />

an accurate non-invasive predictor of fiber type composition. Additionally, the muscle<br />

radial displacement (Dm) is considered as a reliable measurement of muscle stiffness.<br />

Thus, it is conceivable that power and endurance elite athletes present significant<br />

differences between these skeletal muscle mechanical properties.<br />

PurPOsE: The purpose of this study was to evaluate if there are significant<br />

differences in muscle contractile properties among power and endurance elite athletes.<br />

METhOds: Thirty-four elite male track and field athletes were divided into two<br />

different groups: power athletes (PA) (sprinters and jumpers; n=18; age: 26 ± 3, 8<br />

years; height: 179 ± 6, 8 cm; weight: 77, 8 ± 8, 2kg) and endurance athletes (EA)<br />

(endurance runners and triathletes; n=16; 26, 4 ± 7, 2 years; height: 168 ± 9, 2 cm;<br />

Vol. 45 No. 5 Supplement S341<br />

weight: 61 ± 12, 2 kg). Dm and Tc were measured in both the rectus femoris (RF) and<br />

the biceps femoris (BF) muscles from the dominant leg, using a Tensiomyographer<br />

device (TMG Measurement System, TMG-BMC Ltd., Ljubljana, Slovenia).<br />

Unpaired t-tests were used to compare the differences between the groups. Statistical<br />

significance was set at P

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