Use of Bioimpedianciometer as Predictor of Mountain Marathon Performance.
This study aimed to examine the relation among body composition, training experience and race time during a mountain marathon. Body composition and training pre-race experience analyses were conducted previous to a mountain marathon in 52 male athletes. A significant correlation between race time and mountain marathon with chronological age, body fat mass, percentage of body fat (BF), level of abdominal obesity, sport experience and daily training volume was revealed. In addition, BF and athlete's chronological age were negatively associated with race performance. In contrast, the daily training volume was positively associated with mountain marathon time. A regression analysis showed that race time could be predicted (R2= .948) by the daily training load, sports experience, age, body fat mass, BF and level of abdominal obesity. The comparison between performance groups regarding to body composition and training characteristics showed that the higher performance group was lighter with lower BF, fat mass and level of abdominal obesity, and with more days of training per week compared with the lower performance group (p < .05). Therefore, coaches and fitness trainers working with mountain marathon runners should develop exercise and nutritional strategies to reduce BF and consider increasing mean daily training volume to improve performance.
Applied Psychophysiological Research Group, European University of Madrid, Calle Tajo, s/n, 28670 Villaviciosa de Odón, Madrid, Spain. vctxente@yahoo.es.
Vicente Javier
VJ
Clemente-Suarez
Department of Physical and Cultural Education, Hellenic Army Academy, Athens, Greece.
Pantelis Theodoros
PT
Nikolaidis
D000328:Adult; D000531:Altitude; D000886:Anthropometry; D054874:Athletic Performance / Q000502:physiology*; D050218:Body Fat Distribution; D005544:Forecasting / Q000379:methods; D006801:Humans; D008297:Male; D010806:Physical Education and Training / Q000706:statistics & numerical data*; D010807:Physical Endurance / Q000502:physiology*; D012044:Regression Analysis; D012420:Running / Q000502:physiology*
Body fat; Correlation analysis; Ultra-endurance mountain performance