在男女人数相当的比赛中,超级马拉松成绩的性别差异。

Nicholas B Tiller, Camilla R Illidi
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摘要

简介运动成绩中存在着显著的性别差异,从 100 米到马拉松比赛中,男性成绩要比女性高出 7-14%。在超级马拉松比赛中,这种差异往往要小得多,因此有人猜测女性 "天生 "适合这项运动。然而,由于女性参赛者人数较少(在任何特定比赛中仅占 10-30%),数据受到了干扰。本研究比较了两项男女参赛人数相当的超级马拉松赛事的数据:参加 50 英里和 100 英里比赛的起跑者分别为 116 人和 146 人(女性占 52%)。采用 t 检验或 Mann-Whitney U 检验对完赛时间进行比较。独立性的卡方检验检验了性别与名次之间的关系。多变量线性回归检验了性别、年龄和完赛时间之间的关系:在 50 英里和 100 英里的比赛中,分别有 96 名和 91 名选手完赛(45%-46% 为女性)。在 50 英里的比赛中,完成时间的中位数为 12.64±2.11 小时,男女之间没有差异(1.2%,P=0.441)。然而,前 10 名男性的完赛时间比前 10 名女性快 85 分钟(13.8%,p=0.045)。在 100 英里的比赛中,平均完赛时间为 31.58±3.36 小时,性别之间无差异(3.2%,p=0.132),前 10 名男性和前 10 名女性之间也无差异(4.4%,p=0.150)。回归模型显示,性别、年龄和多变量回归都无法预测两场比赛的总完成时间:结论:在男女参赛人数相当的情况下,超级马拉松比赛中基于性别的成绩差异会缩小到 1-3%。在短距离比赛中,成绩最好的男性仍然保持着相当大的优势。
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Sex differences in ultramarathon performance in races with comparable numbers of males and females.

There is a prominent sex-based difference in athletic performance such that males outperform females by 7%-14% in races from 100 m to marathon. In ultramarathons, the difference is often much smaller, leading to speculation that females are "built" for the sport. However, data are confounded by the low number of female participants; just 10%-30% in any given race. This study compared data from two ultramarathons where males and females competed in comparable numbers. There were 116 and 146 starters in the 50 mile and 100 mile races, respectively (52% female). Finish times were compared using t tests or Mann-Whitney U tests, a Chi-squared test of independence examined the relationship between sex and ranking, and multivariable linear regressions examined relationships between sex, age, and finish time. There were 96 finishers in the 50 mile race (46% female) and 91 finishers in the 100 mile race (45% female). The median finish time for 50 miles was 12.64 ± 2.11 h with no difference between sexes (1.2%, p = 0.441). However, the top-10 males finished the race ∼85 min faster than the top-10 females (13.8%, p = 0.045). The mean finish time for 100 miles was 31.58 ± 3.36 h with no difference between sexes (3.2%, p = 0.132) and no difference between the top-10 males and top-10 females (4.4%, p = 0.150). Linear and multivariable regression models using sex and age were unable to predict overall finish time in either race. In conclusion, the sex-based performance discrepancy shrinks to 1%-3% in ultramarathons when males and females compete in comparable numbers. Top-performing males still retain a considerable advantage over shorter distances.

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