Variability and Predictability of Finals Times of Elite Rowers

可预测性 种族(生物学) 人口学 竞赛(生物学) 精英 地理 统计 数学 政治 生物 性别研究 政治学 社会学 生态学 法学
作者
Tiaki Brett Smith,Will G. Hopkins
出处
期刊:Medicine and Science in Sports and Exercise [Lippincott Williams & Wilkins]
卷期号:43 (11): 2155-2160 被引量:178
标识
DOI:10.1249/mss.0b013e31821d3f8e
摘要

Little is known about the competitive performance characteristics of elite rowers. We report here analyses of performance times for finalists in world-class regattas from 1999 to 2009.The data were official race times for the 10 men's and 7 women's single and crewed boat classes, each with ∼ 200-300 different boats competing in 1-33 of the 46 regattas at 18 venues. A linear mixed model of race times for each boat class provided estimates of variability as coefficients of variation after adjustment for means of calendar year, level of competition (Olympics, world championship, World Cup), venue, and level of final (A, B, C, …).Mean performance was substantially slower between consecutive levels of competition (1.5%, 2.7%) and consecutive levels of finals (∼ 1%-2%). Differences in the effects of venue and of environmental conditions, estimated as variability in mean race time between venues and finals, were extremely large (∼ 3.0%). Within-boat race-to-race variability for A finalists was 1.1% for single sculls and 0.9% for crewed boats, with little difference between men and women and only a small increase in lower-level finalists. Predictability of performance, expressed as intraclass correlation coefficients, showed considerable differences between boat classes, but the mean was high (∼ 0.63), with little difference between crewed and single boats, between men and women, and between within and between years.The race-to-race variability of boat times of ∼ 1.0% is similar to that in comparable endurance sports performed against water or air resistance. Estimates of the smallest important performance enhancement (∼ 0.3%) and the effects of level of competition, level of final, venue, environment, and boat class will help inform investigations of factors affecting elite competitive rowing performance.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
Hello应助深渊晾衣杆采纳,获得30
3秒前
Op发布了新的文献求助10
5秒前
6秒前
zychaos发布了新的文献求助10
7秒前
沉静咖啡豆完成签到,获得积分10
9秒前
9秒前
10秒前
风魂剑主发布了新的文献求助10
13秒前
SIREN完成签到,获得积分10
13秒前
Samuel应助直率雪曼采纳,获得20
13秒前
哈哈嘿完成签到,获得积分10
14秒前
贾111完成签到 ,获得积分10
16秒前
16秒前
wxr完成签到 ,获得积分10
17秒前
17秒前
小思发布了新的文献求助10
20秒前
和谐天川完成签到 ,获得积分10
20秒前
隐形曼青应助威武的绿兰采纳,获得10
20秒前
20秒前
21秒前
shen应助科研通管家采纳,获得10
21秒前
999999应助科研通管家采纳,获得10
21秒前
天天快乐应助科研通管家采纳,获得10
22秒前
leng应助科研通管家采纳,获得10
22秒前
今后应助科研通管家采纳,获得10
22秒前
NexusExplorer应助科研通管家采纳,获得10
22秒前
leng应助科研通管家采纳,获得10
22秒前
JamesPei应助科研通管家采纳,获得10
22秒前
完美世界应助科研通管家采纳,获得10
22秒前
22秒前
999999应助科研通管家采纳,获得10
22秒前
思源应助科研通管家采纳,获得10
22秒前
CodeCraft应助科研通管家采纳,获得10
22秒前
smile发布了新的文献求助10
23秒前
拉长的鞅应助科研通管家采纳,获得10
23秒前
上官若男应助科研通管家采纳,获得10
23秒前
SciGPT应助科研通管家采纳,获得10
23秒前
乐乐应助科研通管家采纳,获得10
23秒前
我是老大应助科研通管家采纳,获得30
23秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
适配Micro-LED色转换的高兼容性量子点负性光刻胶制备与工艺研究 500
Direct and Iterative Linear System Solvers 500
Vander's Renal Physiology第10版 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7309628
求助须知:如何正确求助?哪些是违规求助? 8926692
关于积分的说明 18919222
捐赠科研通 6971729
什么是DOI,文献DOI怎么找? 3212979
关于科研通互助平台的介绍 2381426
邀请新用户注册赠送积分活动 2190984