The magnitude of the combined effect of discipline and age group on pacing was larger in the long than in the short distance. However, older duathletes are relatively faster in Run 2 in the short distance and younger duathletes are relatively faster in Run 2 in the long distance. Conclusions: These findings suggest that younger duathletes are relatively faster in Run 1 and transitions, and older duathletes in Bike in both distances. 077) with younger age groups spending less time (%) in Run 1, Transition 1, Transition 2 and Run 2, and older groups less time (%) in Bike. In the long distance, a moderate discipline×age group interaction on relative time (%) was observed (p <. 030) with younger age groups spending less time (%) in Run 1, Transition 1 and Transition 2, and older groups less time (%) in Bike and Run 2. In the short distance, a small discipline×age group interaction on relative time (%) was found (p <. A trivial discipline×sex interaction on relative time (%) was shown in the short (p <. In the long distance, the relative contribution of disciplines was 8.0%, 59.0%, and 32.1%, respectively. Results: A large discipline×distance interaction on relative time (%) was observed in the short distance (p <. Methods: We analyzed 6,671 finishes (women’s, n= 1,037, age 36.6 ± 9.1 years men’s, n= 5,634, 40.0 ± 10.0 years) of 3,881 duathletes competing in ‘Powerman Zofingen’, the World Championship, from 2003 to 2017, in both the short and the long distance race. The aim of the present study was to examine the effect of age on pacing (i.e., the relative contribution – % – of each discipline and transition times – Transition 1 and Transition 2 – to overall race time) of duathletes compet- ing either to short (i.e., 10 km Run 1, 50 km Bike and 5 km Run 2) or long distance (i.e., 10 km Run 1, 150 km Bike and 30 km Run 2). It may reflect sex differences in physiology, decision making, or both.īackground/Study context: Many studies have been conducted on the triathlon during the last several years however, less information exists with regards to duathlon (i.e., Run 1, Bike and Run 2). CONCLUSIONS: The sex difference in pacing is robust. Although greater experience was associated with lesser slowing, controlling for the experience variables did not eliminate the sex difference in pacing. Making the 12% adjustment to women's performances lessened the magnitude of the sex difference in pacing but not its occurrence. However, the sex difference in pacing occurred across age and finishing-time groups. Slower finishing times were associated with greater slowing, especially in men (interaction, P<.0001). The odds for women were 1.46 (95% CI: 1.41 to 1.50, P<0.0001) times higher than men to maintain the pace and 0.36 (95% CI: 0.34-0.38 P<0.0001) times that of men to exhibit marked slowing. This sex difference was significant for all 14 marathons. RESULTS: The mean change in pace was 15.6% and 11.7% for men and women, respectively (P<0.0001).
Pace maintenance was analyzed as a continuous variable and as two categorical variables: "maintain the pace," defined as slowing < 10% and "marked slowing," defined as slowing ≥30%. We operationalized pace maintenance as percentage change in pace observed in the second half of the marathon relative to the first half. For 2,929 runners, we obtained experience data from a race-aggregating website. marathons in 2011, and encompassed 91,929 performances.
PURPOSE: This study determined the reliability of the sex difference in pacing across many marathons, and after adjusting women's performances by 12% to address men's greater maximal oxygen uptake and also incorporating information on racing experience. Studies of non-elite distance runners suggest that men are more likely than women to slow their pace in the marathon.
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