Anthropometric and physiological determinants of running performance in middle- and long-distance runners
The aim of the present study was to compare anthropometric, body composition and physiological parameters in middle- and long-distance runners of the same performance level and to identify variables that could predict the probability of being either a middle- or a long-distance runner. National-leve...
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Veröffentlicht in: | Kinesiology (Zagreb, Croatia) Croatia), 2013-12, Vol.45 (2), p.154-162 |
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Sprache: | eng |
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Zusammenfassung: | The aim of the present study was to compare anthropometric, body composition and physiological parameters in middle- and long-distance runners of the same performance level and to identify variables that could predict the probability of being either a middle- or a long-distance runner. National-level middle-(n=20, body mass M=70.5, SD=6.3 kg, body height M=1.80, SD=0.04 m,) and long- (n=20, body mass M=69.0, SD=4.5 kg, body height M=1.81, SD=0.05 m) distance runners performed an incremental test on a treadmill. Anthropometric and body composition parameters were measured and different body length and mass ratios were calculated. Middle- and long-distance runners did not differ (p>.05) in their leg mass, length proportions, in their measured anthropometric or body composition parameters, except for the lower leg length. Performance in middle-distance runners was best described by the lower leg to upper leg mass ratio (Adj R2=.41; p [less than] .05) and the second ventilatory threshold time (Adj R2=.33; p [less than] .05), while the performance in long-distance runners was best described by the total time on a treadmill (Adj R2=.36; p [less than] .05). The constructed model showed that VO2maxtime (OR=1.01, 95% CI 1.001-1.012) and age (OR=1.57; 95% CI 1.065-2.310) classified middle- and long-distance runners in their specialties. In conclusion, the results of the present study demonstrate the relevance of specific anthropometric parameters in predicting middle- but not longdistance running performance. |
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ISSN: | 1331-1441 1848-638X |