Monday, July 14, 2014

Information kitchen carts and islands regarding the participants in the race (finishing and finishi

Body composition of runners 100 miles | Distances
Endurance sports long distance headline training allegiance kitchen carts and islands before kitchen carts and islands the tournament special routes Physiology sports psychology training General Nutrition Equipment Ironman and triathlons Racing Ultrarunning sports kitchen carts and islands psychologist contest personal stories interviews with athletes and ultra Mrtonistim runs ultra ultra Culture kitchen carts and islands ultra Humor Beer new training log training log Lior Sion
The study compares characteristics of body composition with performance among participants kitchen carts and islands in 100 miles. Height, weight and body fat were measured among 72 runners who started the race (17 women and 55 men). Correlation analyzes were used to adjust body characteristics finish time, and t tests for independent groups was used to compare kitchen carts and islands characteristics which characterize the end against those who did not finish the race. The average BMI (+ - standard deviation) was 2.7 + -24.8 (range 19.1-32.2) for men and 21.2 2.1 (range 18.1-26.7) for women. Among the three fastest kitchen carts and islands runners BMI values ranged from 22.1 to 23.4 for men and 21.5 to 22.9 for women. Average percent body fat (- + standard deviation) Lgbirm and women were 17 5 (range 5-35) and 21 6 (range 10-29), respectively. In threes men and women runners fastest ranges were 6-14 and 14-27. Was a strong positive correlation (r 2 = 0.23 p = 0.0025) between percent body fat and finish time for men but not for women, percent body fat were lower finishers than non-finishers in men (p = 0.03) and women (p = 0.04). We conclude that despite wide variations in BMI and percent body fat among ultrarunners, kitchen carts and islands faster men have low in fat than the slower and finish are low in fat than non-finishers. Introduction
Little is known about which characterize the physiological ultramarathon. Hoffman [2] demonstrated that body mass index (BMI) varied widely among the 392 participants of the Western States Endurance Run in 2007. Fact, some participants BMI compiling them as being underweight while there are those with a BMI indicating obesity and obesity Morbid (obese). When taking into account only the top five finishers in the first places, the BMI is still a high variability ranges between 22.4 to 24.7 for men and 17.3 to 21.1 for women, and it seems higher than previously reported among elite runners medium-distance and marathon. Still BMI was positively associated with finish time such that 10-11% of the variance in running speed was accounted for by BMI. Unlike Knechtle and colleagues found no correlation between BMI and body fat performance among a small group of men competing in 24 hours [4] or a run of 1200 km over 17 days [3]. The purpose of this study was to further examine characteristics of body composition among participants kitchen carts and islands run 100 miles through the inclusion of body fat. Relationship between body composition and performance as well as the relationship between body structure among runners tested. Based on our previous work [2] it was anticipated that BMI and fat percentage would vary, but these variables would be associated with performance, and there would be little, if any, in body composition of different ages. Method
Participants in this study were those who took part in the race 100 miles Rio del Lago, which started and finished in Granite Bay, California. The course was largely singles and dirt, had cumulative climb 2743 m. Participants had a time limit of 30 hours to finish the race. Race day temperatures ranged 12.2 to 37.6 year degrees and the average temperature was 24.3 degrees. The study was approved by our institute, participants kitchen carts and islands were informed about the research race three weeks before the race and were told that participation in it is voluntary. Recruitment of participants and measurements were made while registered for another race deadlights and evening prior to the race. Raised kitchen carts and islands measured 0.1 cm using a portable stadiometer. A calibrated battery operated kitchen carts and islands was used for weighing the runners. kitchen carts and islands Subjects were barefoot and usually dressed in running attire. No adjustment in weight to take into account the light weight of the clothes. kitchen carts and islands Measuring body fat made through (bioimpedance spectroscopy (Model SFB7, ImpediMed, Inc., San Diego, CA device scans 256 frequencies between 4kHZ to 100kHZ and uses mathematical models to calculate the resistance at frequencies kitchen carts and islands zero and infinity. Model Sound mixture theory transformer used to determine fat mass [6] . examination was made on the right side of the body except for the few cases where the runners had a metal implant rib on the right side. Subjects removed jewelry, metal objects (such as watches) and electronic devices in pockets. they were on the surface kitchen carts and islands without moving for measurement. both electrodes were placed on the arm and ankle after areas These shaved and cleaned. kitchen carts and islands subjects remained in position for 3-4 minutes before measurement. Results race and age data were obtained from official posted results. Pearson correlations were used to compare BMI and percent body fat with finish times and ages for men and women. Pearson correlations were used to the linking of lean mass with age . t tests for independent groups was used to compare characteristics of finished non-finishers. while anticipated statistical significance were not achieved, effect size was determined by dividing the standard deviation group differences., as recommended by Cohen [1] effect size was considered small medium at 0.2 and 0.5 large 0.8 or greater. Probability value of less than 0.005 was accepted as meaningful. Results
Information kitchen carts and islands regarding the participants in the race (finishing and finishing) than participants in the study are presented in Table 1. Table 1 Participants in the study participants did not finish the race did not finish finish finish 61 48 45 27 women (%) 26 38 22 26 Age (years) 9 - +43 13 - +46 8 - +43 14 - +47 End Time (hours) 3.04-3.15 +25.79 +25.68
A total of 109 participants (34 women, 75 men) started the race and 72 (66%) participated in the study. Of the 72 runners (17 women and 55 men) who participated in the study, 45 (62%) completed

No comments:

Post a Comment