鞋类的个性化优化运行经济:一个理论框架
Mark J Connick1, Glen A Lichtwark1
1School of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
Journal of applied biomechanics
|December 11, 2024
概括
先进的鞋类提高了运行经济性 (RE),但好处因人而异. 一个新的框架解释了鞋类特性和生物力学如何相互作用以影响RE,从而实现个性化的鞋类选择以获得最佳性能.
科学领域:
- 生物力学 生物力学
- 运动科学 运动科学 运动科学
- 鞋类技术 鞋类技术
背景情况:
- 与传统鞋相比,具有更厚,更有弹性的中底的先进鞋类可以提高跑步经济性 (RE).
- 对先进鞋类的个人反应各不相同,这表明生物力学起到了调解作用.
- 目前的理论模型不能完全解释鞋类,生物力学和RE之间的关系.
研究的目的:
- 引入一个新的框架,详细说明鞋类特性,生物力学和运行经济之间的因果关系.
- 提出一个模型,将鞋类的直接影响与其生物力学介导作用分开.
- 促进研究开发个性化的鞋类策略,以最大限度地提高运行经济.
主要方法:
- 基于现有文献和生物力学原理的概念框架开发.
- 识别鞋类影响运行经济的直接和中间途径.
- 关于量化直接和中介效应以告知鞋类设计的建议.
主要成果:
- 拟议的框架认为,鞋类通过直接的物质效应 (例如,能量回报) 和间接的生物力学调解来影响再生能源.
- 它强调了鞋类之间的相互作用,肌肉骨系统中储存的弹性能量,以及跑步的弹质量特征.
- 该框架能够更细致地了解鞋类如何影响跑步表现.
结论:
- 为了最大限度地提高运行经济,需要对鞋类选择采取个性化的方法.
- 拟议的框架为解开鞋类的直接和生物力学影响提供了基础.
- 这项研究为设计针对特定生物力学适应以提高跑步性能的先进鞋类材料铺平了道路.
相关概念视频
Energy Budgets
9.9K
Organisms must balance energy intake with the energy required for growth, maintenance and reproduction. These trade-offs result in a variety of survivorship and reproductive strategies, including semelparity and iteroparity. Semelparous species, like annual plants, have only one reproductive episode in their lifetimes and consequently have short lifespans. Iteroparous species, by contrast, have many reproductive events during their lifetimes but have relatively few offspring. These two...
9.9K
Efficiency of The Carnot Cycle
3.2K
The hypothetical Carnot cycle consists of an ideal gas subjected to two isothermal and two adiabatic processes. Since the internal energy of an ideal gas depends only on its temperature, which is the same before and after the completion of the Carnot cycle, there is no change in its internal energy. Hence, using the first law of thermodynamics, the total heat exchanged by the ideal gas equals the total work done. Thus, we can quantify the efficiency of the Carnot cycle via the heat exchanged...
3.2K
Factors Affecting Activity Coefficient
1.6K
The extended Debye-Hückel equation indicates that the activity coefficient of an ion in an aqueous solution at 25°C depends on three partially interdependent properties: the ionic strength of the solution, the charge of the ion, and the ion size.
The activity coefficient value for an ion is close to one when the solution has almost zero ionic strength, i.e., when the solution shows close to ideal behavior. As the ionic strength of the solution increases from 0 to 0.1 mol/L, a...
The activity coefficient value for an ion is close to one when the solution has almost zero ionic strength, i.e., when the solution shows close to ideal behavior. As the ionic strength of the solution increases from 0 to 0.1 mol/L, a...
1.6K
Energy Conservation and Bernoulli's Equation
7.2K
Applying the conservation of energy principle or the work-energy theorem to an incompressible, inviscid fluid in laminar, steady, irrotational flow leads to Bernoulli's equation. It states that the sum of the fluid pressure, potential, and kinetic energy per unit volume is constant along a streamline.
All the terms in the equation have the dimension of energy per unit volume. The kinetic energy per unit volume is called the kinetic energy density, and the potential energy per unit volume is...
All the terms in the equation have the dimension of energy per unit volume. The kinetic energy per unit volume is called the kinetic energy density, and the potential energy per unit volume is...
7.2K
Metabolic Rate
1.5K
The human body is a powerhouse of energy, with every cell performing numerous functions that require energy. This energy production and consumption is measured by the metabolic rate, which quantifies the total heat generated by all the body's chemical reactions and mechanical work. This measurement helps to determine the rate of kilocalorie (kcal) consumption needed to fuel all ongoing activities.
The Basal Metabolic Rate (BMR) measures the energy expended at rest.
Several factors influence...
The Basal Metabolic Rate (BMR) measures the energy expended at rest.
Several factors influence...
1.5K
Methods of Medium Optimization
74
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
74


