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行走速度和时间对足底压力梯度和压力梯度角的影响。

Effects of walking speeds and durations on the plantar pressure gradient and pressure gradient angle.

机构信息

Rehabilitation Engineering Lab, Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, IL, USA.

Department of Creative Product Design, Asia University, Taichung, Taiwan.

出版信息

BMC Musculoskelet Disord. 2022 Aug 30;23(1):823. doi: 10.1186/s12891-022-05771-2.

Abstract

BACKGROUND

Walking exercise has been demonstrated to improve health in people with diabetes. However, it is largely unknown the influences of various walking intensities such as walking speeds and durations on dynamic plantar pressure distributions in non-diabetics and diabetics. Traditional methods ignoring time-series changes of plantar pressure patterns may not fully capture the effect of walking intensities on plantar tissues. The purpose of this study was to investigate the effect of various walking intensities on the dynamic plantar pressure distributions. In this study, we introduced the peak pressure gradient (PPG) and its dynamic patterns defined as the pressure gradient angle (PGA) to quantify dynamic changes of plantar pressure distributions during walking at various intensities.

METHODS

Twelve healthy participants (5 males and 7 females) were recruited in this study. The demographic data were: age, 27.1 ± 5.8 years; height, 1.7 ± 0.1 m; and weight, 63.5 ± 13.5 kg (mean ± standard deviation). An insole plantar pressure measurement system was used to measure plantar pressures during walking at three walking speeds (slow walking 1.8 mph, brisk walking 3.6 mph, and slow running 5.4 mph) for two durations (10 and 20 min). The gradient at a location is defined as the unique vector field in the two-dimensional Cartesian coordinate system with a Euclidean metric. PGA was calculated by quantifying the directional variation of the instantaneous peak gradient vector during stance phase of walking. PPG and PGA were calculated in the plantar regions of the first toe, first metatarsal head, second metatarsal head, and heel at higher risk for foot ulcers. Two-way ANOVA with Fisher's post-hoc analysis was used to examine the speed and duration factors on PPG and PGA.

RESULTS

The results showed that the walking speeds significantly affect PPG (P < 0.05) and PGA (P < 0.05), and the walking durations does not. No interaction between the walking duration and speed was observed. PPG in the first toe region after 5.4 mph for either 10 or 20 min was significantly higher than 1.8 mph. Meanwhile, after 3.6 mph for 20 min, PPG in the heel region was significantly higher than 1.8 mph. Results also indicate that PGA in the forefoot region after 3.6 mph for 20 min was significantly narrower than 1.8 mph.

CONCLUSIONS

Our findings indicate that people may walk at a slow speed at 1.8 mph for reducing PPG and preventing PGA concentrated over a small area compared to brisk walking at 3.6 mph and slow running at 5.4 mph.

摘要

背景

行走运动已被证明可改善糖尿病患者的健康状况。然而,对于不同的行走强度(如行走速度和持续时间)对非糖尿病患者和糖尿病患者动态足底压力分布的影响,我们知之甚少。传统方法忽略了足底压力模式的时间序列变化,可能无法充分捕捉行走强度对足底组织的影响。本研究旨在探讨不同行走强度对动态足底压力分布的影响。在本研究中,我们引入了峰值压力梯度(PPG)及其动态模式定义为压力梯度角(PGA),以量化不同强度行走时足底压力分布的动态变化。

方法

本研究招募了 12 名健康参与者(5 名男性和 7 名女性)。他们的人口统计学数据为:年龄 27.1±5.8 岁;身高 1.7±0.1 米;体重 63.5±13.5 公斤(平均值±标准差)。使用足底压力测量系统在三种行走速度(慢走 1.8 英里/小时、快走 3.6 英里/小时和慢跑 5.4 英里/小时)下行走 10 分钟和 20 分钟,测量行走时的足底压力。梯度在二维笛卡尔坐标系中定义为具有欧几里得度量的唯一向量场。PGA 通过量化行走支撑相瞬时峰值梯度向量的方向变化来计算。在更高的足溃疡风险的第一趾、第一跖骨头、第二跖骨头和脚跟的足底区域计算 PPG 和 PGA。使用双向方差分析和 Fisher 事后分析检验速度和持续时间因素对 PPG 和 PGA 的影响。

结果

结果表明,行走速度显著影响 PPG(P<0.05)和 PGA(P<0.05),而行走持续时间没有影响。行走速度和持续时间之间没有观察到相互作用。5.4 英里/小时行走 10 分钟或 20 分钟后,第一趾区域的 PPG 明显高于 1.8 英里/小时。同时,3.6 英里/小时行走 20 分钟后,脚跟区域的 PPG 明显高于 1.8 英里/小时。结果还表明,3.6 英里/小时行走 20 分钟后,前足区域的 PGA 明显变窄,小于 1.8 英里/小时。

结论

我们的研究结果表明,与 3.6 英里/小时的快走和 5.4 英里/小时的慢跑相比,人们可能会以 1.8 英里/小时的较慢速度行走,以降低 PPG 并防止 PGA 集中在较小的区域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e28/9426236/8dc6cf1426cc/12891_2022_5771_Fig1_HTML.jpg

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