Anthropometric Characteristics of Ultramarathoners
ABSTRACT Little is known about the anthropometric characteristics of ultramarathon runners. The present work reports on the physical characteristics of the 392 (310 males, 82 females) starters and 270 (216 males, 54 females) finishers of the 2007 Western States Endurance Run, one of the largest 161-km trail runs in North America. Among the starters, mean (and 25th to 75th percentiles) body mass index (BMI) values were 23.2 (21.6 - 24.6) and 20.6 (19.4 - 21.9) kg . m (-2) for the men and women, respectively. Men were significantly taller, heavier and had greater BMI's across all age groups compared with the women. Among the top-5 overall finishers, mean BMI values were 23.2 (range 22.4 - 24.7) for the men and 19.8 (range 17.3 - 21.1) for the women. Average running speed and BMI were negatively correlated for both men (r (2) = 0.11, p < 0.0001) and women (r (2) = 0.10, p = 0.02). From this analysis, it is concluded that those participating in ultramarathon runs can vary widely in physical characteristics with BMI values that would classify some individuals as underweight and others as overweight. BMI varied considerably even among the top finishers, but lower BMI values were associated with faster running times.
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ABSTRACT: A variety of anthropometric and training characteristics have been identified as predictor variables for race performance in endurance and ultra-endurance athletes. Anthropometric characteristics such as skin-fold thicknesses, body fat, circumferences and length of limbs, body mass, body height, and body mass index were bi-variately related to race performance in endurance athletes such as swimmers in pools and in open water, in road and mountain bike cyclists, and in runners and triathletes over different distances. Additionally, training variables such as volume and speed were also bi-variately associated with race performance. Multi-variate regression analyses including anthropometric and training characteristics reduced the predictor variables mainly to body fat and speed during training units. Further multi-variate regression analyses including additionally the aspects of previous experience such as personal best times showed that mainly previous best time in shorter races were the most important predictors for ultra-endurance race times. Ultra-endurance athletes seemed to prepare differently for their races compared to endurance athletes where ultra-endurance athletes invested more time in training and completed more training kilometers at lower speed compared to endurance athletes. In conclusion, the most important predictor variables for ultra-endurance athletes were a fast personal best time in shorter races, a low body fat and a high speed during training units.06/2014; 5(2):73-90.
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ABSTRACT: Improved performance has been reported for master runners (i.e. athletes older than 40 years) in both single marathons and single ultra-marathons. This study investigated performance trends of age group ultra-marathoners competing in all 100 km and 100 miles races held worldwide between 1971 and 2013. Changes in running speeds across years were investigated for the annual ten fastest 5-year age group finishers using linear, non-linear and multi-level regression analyses. In 100 km, running speed remained unchanged in women in 25-29 years, increased non-linearly in 30-34 to 55-59 years, and linearly in 60-64 years. In men, running speed increased non-linearly in 18-24 to 60-64 years and linearly in 65-69 to 75-79 years. In 100 miles, running speed increased in women linearly in 25-29 and 30-34 years, non-linearly in 35-39 to 45-49 years, and linearly in 50-54 and 55-59 years. For men, running speed increased linearly in 18-24 years, non-linearly in 25-29 to 45-49 years, and linearly in 50-54 to 65-69 years. Overall, the faster race times over the last 30 years are a result of all top ten finishers getting faster. These findings suggest that athletes in younger to middle age groups (i.e. 25-35 to 50-65 years depending upon sex and distance) have reached their limits due to a non-linear increase in running speed whereas runners in very young (i.e. younger than 25-35 years) and older age groups (i.e. older than 50-65 years) depending upon sex and distance might still improve their performance due to a linear increase in running speed.SpringerPlus 07/2014; 3:331. DOI:10.1186/2193-1801-3-331
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ABSTRACT: We evaluated the association of anthropometric, training, physiological and psychological variables with race performance in a 7-day running stage race. Participants: 12 recreational runners 49.6 +/- 6.8 years (mean +/- SD), 75.1 +/- 13.3 kg, 177.0 +/- 7.0 cm, body mass index value 23.8 +/- 3.1 kg/m(2). Methods: Questionnaires and physiological measurements. Results: We found the significant pre race minus post race difference in body mass (Delta) and the post race minus pre race difference (Delta) in a rating of perceived exertion. In contrast no significant correlations were between select variables and race time. (C) 2012 Published by Elsevier Ltd. Selection and/or peer review under responsibility of Prof. Dr. Huseyin UzunboyluProcedia - Social and Behavioral Sciences 01/2012; 46:2362-2366. DOI:10.1016/j.sbspro.2012.05.485