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High resolution MEMS accelerometers to estimate VO2 and compare running mechanics between highly trained inter-collegiate and untrained runners. (9/470)

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Relationship between hip and knee kinematics in athletic women during cutting maneuvers: a possible link to noncontact anterior cruciate ligament injury and prevention. (10/470)

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Effects of oral contraceptives on diurnal profiles of insulin, insulin-like growth factor binding protein-1, growth hormone and cortisol in endurance athletes with menstrual disturbance. (11/470)

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Internal rotation deficits affect scapular positioning in baseball players. (12/470)

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Tissue doppler imaging can be useful to distinguish pathological from physiological left ventricular hypertrophy: a study in master athletes and mild hypertensive subjects. (13/470)

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Success in developing regions: world records evolution through a geopolitical prism. (14/470)

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Surgical treatment of patellar tendinopathy in athletes. A retrospective multicentric study. (15/470)

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Overweight in trained subjects - are we looking at wrong numbers? (Body mass index compared with body fat percentage in estimating overweight in athletes.). (16/470)

Body mass index (BMI) is widely used as an index of obesity in adults. In trained population, individual with low body fat could be classified as overweight by BMI. To evaluate this problem, the purposes of this study were to determine the BMI and body fat percentage (BF%) of trained and untrained subjects and to evaluate the accuracy of BMI classification (> or =25 kg.m(-2)) as a prediction of overweight/obesity in trained subjects. The total number of 299 trained (basketball players) and 179 untrained male subjects participated in this study. Body height and body mass were measured; BMI was calculated for all subjects. BF% was determined via Tanita bioimpedance body composition analyzer. BMI >or = 25 kg.m(-2) and BF% > 20% were used to define overweight. There was no significant age differences. Body mass, height (p < 0.01) and BMI (p < 0.05) were significantly higher, although BF% was significantly lower (p < 0.01) in trained group when compared to untrained. Eighty-five trained subjects had a BMI of 25 or higher, indicating overweight. Of these, only three individuls had excess BF%. The results of the present study suggest that a BMI > or = 25 kg.m(-2) is not an accurate predictor of overweight in trained subjects.  (+info)