Optimal footwear longitudinal bending stiffness to improve running economy is speed dependent

抗弯刚度 地面反作用力 刚度 跨步 弯曲 生物力学 结构工程 运行经济 数学 物理医学与康复 工程类 医学 物理 运动学 解剖 放射科 血压 经典力学 最大VO2 心率
作者
Evan M. Day,Michael E. Hahn
出处
期刊:Footwear Science [Informa]
卷期号:12 (1): 3-13 被引量:53
标识
DOI:10.1080/19424280.2019.1696897
摘要

The primary footwear components of interest to improve performance are midsole material, weight, and longitudinal bending stiffness. Little is known about the effects of varied longitudinal bending stiffness across a range of running speeds. The purpose of this study was to identify changes in spatiotemporal variables, horizontal ground reaction forces, subjective comfort, and metabolic cost at different running speeds in response to varied longitudinal bending stiffness. Ten highly trained males ran at 14, 17 and 20 km/h in shoes with varying longitudinal bending stiffness (normal 5.9, stiff 10.5 and very stiff 17.0 N-m/rad). Ground reaction forces, metabolics and subjective comfort assessments were collected. There were significant changes (p < .05) in contact time, stride frequency, and stride length between shoe conditions at all three speeds. Peak propulsive force decreased with increased bending stiffness at all three speeds, but there was no change in braking or propulsive impulse. The patterns of changes in stride length and stride frequency were different between speeds. At 14 km/h, most participants elicited a minimum metabolic rate in the normal shoe. However, at 17 km/h an increased number of participants were more economical in the stiff shoe, despite it weighing an extra 50 g compared to the normal shoe. Running speed had an influence on subjective comfort, with participants tending to prefer the normal shoe at 14 km/h and the stiff shoe at 17 km/h. These results suggest that an optimal bending stiffness to reduce metabolic cost and improve comfort may be running speed dependent.
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
苹果萧发布了新的文献求助10
刚刚
zhihan发布了新的文献求助10
1秒前
Hao发布了新的文献求助10
1秒前
1秒前
Orange应助贾不可采纳,获得10
1秒前
李健的小迷弟应助贾不可采纳,获得10
1秒前
FashionBoy应助贾不可采纳,获得10
1秒前
奋斗的夜山完成签到 ,获得积分10
1秒前
yana发布了新的文献求助20
1秒前
yijiubingshi完成签到,获得积分10
2秒前
苏南完成签到 ,获得积分10
2秒前
冰激凌UP发布了新的文献求助10
2秒前
SCI发布了新的文献求助10
2秒前
CD发布了新的文献求助10
2秒前
3秒前
yan123发布了新的文献求助10
4秒前
4秒前
充电宝应助yyj采纳,获得10
4秒前
马静雨发布了新的文献求助10
4秒前
云游归尘发布了新的文献求助10
5秒前
6秒前
111发布了新的文献求助10
6秒前
寰宇完成签到,获得积分10
6秒前
6秒前
7秒前
花田雨桐发布了新的文献求助10
7秒前
7秒前
小马甲应助lieditongxu采纳,获得10
7秒前
Jenny应助yan123采纳,获得10
8秒前
狂野的以珊完成签到,获得积分10
8秒前
8秒前
a1oft发布了新的文献求助10
9秒前
9秒前
9秒前
笨笨的不斜完成签到,获得积分10
9秒前
xtqgyy发布了新的文献求助10
9秒前
10秒前
Cat完成签到,获得积分0
10秒前
科研小菜完成签到,获得积分10
11秒前
江南烟雨如笙完成签到,获得积分10
11秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527849
求助须知:如何正确求助?哪些是违规求助? 3107938
关于积分的说明 9287239
捐赠科研通 2805706
什么是DOI,文献DOI怎么找? 1540033
邀请新用户注册赠送积分活动 716893
科研通“疑难数据库(出版商)”最低求助积分说明 709794