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多阶段超级马拉松中的配速变化:基于互联网的横断面研究。

Pacing Variation in Multistage Ultramarathons: Internet-Based Cross-Sectional Study.

作者信息

Fariod Mielad, Olher Rafael Reis, Sousa Caio Victor, Scheer Volker, Cuk Ivan, Nikolaidis Pantelis Theodoros, Thuany Mabliny, Weiss Katja, Knechtle Beat

机构信息

Department of Orthopedic, Traumatology and Reconstructive Surgery, Klinikum Frankfurt-Höchst, Frankfurt, Germany.

Department of Physical Education, University Center of Central Plateau Apparecido dos Santos, Brasilia, Brazil.

出版信息

JMIR Form Res. 2023 Aug 23;7:e46650. doi: 10.2196/46650.

Abstract

BACKGROUND

Ultramarathon running is the most popular ultraendurance competition in terms of the number of races and runners competing annually worldwide; however, no study has compared pacing and performance over a long period.

OBJECTIVE

This study analyzes the pacing of successful finishers and nonfinishers in multistage ultramarathons worldwide.

METHODS

A total of 4079 athletes (men=3288; women=791) competing in 99 multistage ultramarathon events from 1983 to 2021 were analyzed, including the number of participants, age, gender, rank, and running speed of successful finishers.

RESULTS

The results showed a significant increase in the number of events (n=338) and a significant increase in the number of finishers and nonfinishers (n=5575) in the ultramarathons worldwide during this period. The general linear models (GLMs) of pacing variation showed nonsignificant effects for gender (F=2.5; P=.127; η=0.063) and age group (F=0.6; P=.798; η=0.367), but it showed a significant interaction (gender × age) effect (F=2.3; P=.008; η=0.009). Post hoc analyses showed that men have a higher pacing variation than women in the under 30 years (U30), U35, U45, and U50 groups. Additionally, the fastest women's age group (U35) had the lowest pacing variation. The GLM of pacing variation by gender and event distance showed significant effects for both gender (F=18.5; P<.001; η=0.007) and distance (F=20.1; P<.001; η=0.015). Post hoc analyses showed a growing pacing variation with increasing race distance for both men and women. In addition, men had a higher variation in long events. Furthermore, there was a significant main effect for both genders (F=33.7; P<.001; η=0.012) and rank (F=136.6; P<.001; η=0.048) on performance, with men being faster than women. Pacing varied greatly due to gender (F=4.0; P=.047; η=0.001), with a lower (ie, more even) pacing variation for male athletes in the top 3 finishers. Male nonfinishers showed a higher performance than female nonfinishers (F=25.6; P<.001), and no difference was identified for pacing variation (F=1.5; P=.228) based on gender. In addition, a weak but significant correlation (r=-0.130; P<.001) was identified between the average running speed and pacing variation for both female and male nonfinishers.

CONCLUSIONS

In summary, multistage ultramarathon competitions showed an increasing number of competitors and a higher performance challenge. Men have a higher pacing (ie, less even) variation than women, especially observed in longer events. A higher pacing variation was associated with lower performance for men, women, and nonfinishers.

摘要

背景

就全球每年举办的赛事数量和参赛选手数量而言,超级马拉松是最受欢迎的超长耐力比赛;然而,尚无研究对长期的配速和成绩进行比较。

目的

本研究分析全球多阶段超级马拉松比赛中完赛者和未完赛者的配速情况。

方法

对1983年至2021年期间参加99场多阶段超级马拉松赛事的4079名运动员(男性=3288名;女性=791名)进行分析,包括完赛者的参赛人数、年龄、性别、排名和跑步速度。

结果

结果显示,在此期间全球超级马拉松赛事的数量(n=338)显著增加,完赛者和未完赛者的数量(n=5575)也显著增加。配速变化的一般线性模型(GLMs)显示,性别(F=2.5;P=0.127;η=0.063)和年龄组(F=0.6;P=0.798;η=0.367)的影响不显著,但显示出显著的交互作用(性别×年龄)效应(F=2.3;P=0.008;η=0.009)。事后分析表明,在30岁以下(U30)、35岁以下(U35)、45岁以下(U45)和50岁以下(U50)组中,男性的配速变化高于女性。此外,女性最快的年龄组(U35)的配速变化最低。按性别和赛事距离划分的配速变化的GLM显示,性别(F=18.5;P<0.001;η=0.007)和距离(F=20.1;P<0.001;η=0.015)均有显著影响。事后分析表明,男性和女性的配速变化均随着比赛距离的增加而增大。此外,在长距离赛事中男性的变化更大。此外,性别(F=33.7;P<0.001;η=0.012)和排名(F=136.6;P<0.001;η=0.048)对成绩均有显著的主效应,男性比女性更快。由于性别原因配速差异很大(F=4.0;P=0.047;η=0.001),前三名完赛者中的男性运动员配速变化较低(即更均匀)。男性未完赛者的表现高于女性未完赛者(F=25.6;P<0.001),基于性别在配速变化方面未发现差异(F=1.5;P=0.228)。此外,男性和女性未完赛者的平均跑步速度与配速变化之间存在微弱但显著的相关性(r=-0.130;P<0.001)。

结论

总之,多阶段超级马拉松比赛的参赛者数量不断增加,成绩挑战也更高。男性的配速变化(即更不均匀)高于女性,尤其是在长距离赛事中。更高的配速变化与男性、女性和未完赛者的较低成绩相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63dd/10483293/72f8df159232/formative_v7i1e46650_fig1.jpg

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