Telfer S, Bigham J J
Department of Orthopaedics and Sports Medicine, University of Washington, Seattle, United States.
Department of Orthopaedics and Sports Medicine, University of Washington, Seattle, United States.
Gait Posture. 2019 Jan;67:269-276. doi: 10.1016/j.gaitpost.2018.10.030. Epub 2018 Oct 26.
The measurement of plantar pressure distributions during gait can provide insights into the effects of musculoskeletal disease on foot function. A range of hardware, software, and protocols are available for the collection of this type of data, with sometimes disparate and conflicting results reported between individual studies. In this systematic review and meta-regression analysis of dynamic regional peak pressures, we aimed to test if 1) the system used to obtain the pressure measurements and 2) the characteristics of the study populations had a significant effect on the results.
A systematic review of the literature was undertaken to identify articles reporting regional peak plantar pressures during barefoot walking. A mixed-effects modeling approach was used to analyze the extracted data. Initially, the effect of the system used to collect the data was tested. Following this, the effect of participant characteristics on the results were analyzed, using moderators of cohort type (defined as the primary health characteristic of the participants), age, sex, and BMI.
115 participant groups were included in the analysis. Sufficient cohorts were available to test those that consisted of healthy individuals, and those with diabetes and diabetic neuropathy. Significant differences were found between results reported by studies using different pressure measurement systems in 8 of the 16 regions analyzed. The analysis of participant characteristics revealed a number of significant relationships between regional peak pressures and participant characteristics, including: BMI and midfoot plantar pressures; elevated forefoot pressures as a result of diabetic neuropathy; and sex-differences in regional loading patterns.
At the level of the literature, we confirmed significant effects of disease status, age, BMI, and sex on regional peak plantar pressures. Researchers and clinicians should be aware that measurements of peak plantar pressure variables obtained from different collection equipment are not directly comparable.
步态期间足底压力分布的测量可以深入了解肌肉骨骼疾病对足部功能的影响。有一系列硬件、软件和协议可用于收集此类数据,各个研究报告的结果有时存在差异且相互矛盾。在这项关于动态区域峰值压力的系统评价和元回归分析中,我们旨在检验:1)用于获取压力测量值的系统,以及2)研究人群的特征是否对结果有显著影响。
对文献进行系统评价,以识别报告赤脚行走期间区域峰值足底压力的文章。采用混合效应建模方法分析提取的数据。首先,测试用于收集数据的系统的影响。在此之后,使用队列类型(定义为参与者的主要健康特征)、年龄、性别和BMI的调节因素分析参与者特征对结果的影响。
115个参与者组纳入了分析。有足够的队列可用于测试由健康个体以及患有糖尿病和糖尿病神经病变的个体组成的队列。在分析的16个区域中的8个区域,使用不同压力测量系统的研究报告的结果之间发现了显著差异。参与者特征分析揭示了区域峰值压力与参与者特征之间的一些显著关系,包括:BMI与足中足底压力;糖尿病神经病变导致的前足压力升高;以及区域负荷模式的性别差异。
在文献层面,我们证实了疾病状态、年龄、BMI和性别对区域峰值足底压力有显著影响。研究人员和临床医生应意识到,从不同采集设备获得的足底压力峰值变量测量值不可直接比较。