Informace o publikaci
Influence of gender, age and performance level on pace changes during marathon
| Autoři | |
|---|---|
| Rok publikování | 2013 |
| Druh | Konferenční abstrakty |
| Fakulta / Pracoviště MU | |
| Citace | |
| Přiložené soubory | |
| Popis | Purpose Running and jogging has globally become very popular. Number of participants of big city marathons are dramatically increasing every year. Pace (speed) distribution is tactical component of sport performance. Many coaches recommend even (lowest changes in pace during race as much as possible) pace for marathon race. Even pace is very close connected to fitness preparation. Athletes performed systematic fitness program or experienced tend to determinate better their future finish time than novice. Methods 18 marathon events (Berlin and London 2007-2010; Prague 2008-2010) was selected for analysis of marathon runners’ results. Results from organizers’ website were downloaded and edited to uniform database format. Database contained 233,700 results of runners. Runners were divided in 7 performance levels [2:29:59 and faster; then every 0:30:00; group of runners above 5:00:00 was rejected (h:mm:ss; net finish time)] and 6 age groups [40 and younger; 40-44; 45-49; 50-54; 55-59; 60 and older (years)]. Pace changes (PC) were calculated by formula: PC=sum in each measured section [(split pace / race pace) - 1] * length of section. Higher number of PC indicated higher differences of pace distribution (0.0 is absolute even pace). ANOVA and Fisher’s post hoc LSD test were used for analysis. Results There were found differences (PC) between gender (men 2.61; women 1.96; p<0.01). Performance level is significant factor for PC (p<0.01). Faster runners had lower PC than slower ones (PC score are 1.18, 1.30, 1.84, 2.08, 2.68, 3.35; sorted from fastest to slowest category). Age is significant factor for PC (p<0.01). Older runners had bigger PC then younger, but with exception category of runners under 40 years had highest PC score of all age group categories (PC score are 2.61, 2.35, 2.34, 2.35, 2.43, 2.50; sorted from youngest to oldest category). Conclusion We found there three factors (age, gender, performance) affecting pace changes during marathon race. This could be very useful help for coaches to identify critical groups of runners, which tend to have a problem in tactical component of sport performance. |