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预测亚洲超重和肥胖的柔韧性扁平足女性的关节负荷:人体测量参数和步态动力学的回归分析

Predicting joint loading in Asian overweight and obese females with flexible flatfoot: a regression analysis of anthropometric parameters and gait dynamics.

作者信息

Wei Linjuan, Zhang Guoxin, Chen Tony Lin-Wei, Wang Yan, Peng Yinghu, Zhang Ming

机构信息

Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong, 999077, China.

Research Institute for Sports Science and Technology, The Hong Kong Polytechnic University, Hong Kong, 999077, China.

出版信息

Med Biol Eng Comput. 2025 Jun 9. doi: 10.1007/s11517-025-03378-y.

DOI:10.1007/s11517-025-03378-y
PMID:40490675
Abstract

Current methods for obtaining accurate joint loading data lack simplicity, efficiency, and cost-effectiveness. This study aims to generate joint loading prediction models using anthropometric parameters and walking speed in overweight or obese females with flexible flatfoot. Sixteen participants' motion capture data from walking trails and anthropometric parameters were collected. The lower limb joint contact forces and the walking speed were calculated via a musculoskeletal model. Regression analysis was used to generate the prediction model. The second peak of knee joint contact force revealed a strong negative correlation with hip circumference and a weak positive correlation with age (p < 0.001 and adjusted R = 0.720). The peak ankle joint contact force exhibited a strong positive correlation with walking speed while strong negative correlations with waist circumference and lower limb length (p < 0.001 and adjusted R = 0.782). The first peak of vertical GRF displayed a medium negative correlation with walking speed (p < 0.001 and adjusted R = 0.750). Anthropometric parameters and walking speed are effective predictors of joint loading. This rapid, low-cost estimation method can be applied to areas such as flexible flatfoot that require assessment of joint stress, thereby saving costs and time.

摘要

目前获取准确关节负荷数据的方法缺乏简便性、效率和成本效益。本研究旨在利用人体测量参数和步行速度,为超重或肥胖的柔韧性扁平足女性生成关节负荷预测模型。收集了16名参与者在步行轨迹上的运动捕捉数据和人体测量参数。通过肌肉骨骼模型计算下肢关节接触力和步行速度。采用回归分析生成预测模型。膝关节接触力的第二个峰值与臀围呈强负相关,与年龄呈弱正相关(p < 0.001,调整后R = 0.720)。踝关节接触力峰值与步行速度呈强正相关,与腰围和下肢长度呈强负相关(p < 0.001,调整后R = 0.782)。垂直地面反作用力的第一个峰值与步行速度呈中度负相关(p < 0.001,调整后R = 0.750)。人体测量参数和步行速度是关节负荷的有效预测指标。这种快速、低成本的估计方法可应用于需要评估关节应力的柔韧性扁平足等领域,从而节省成本和时间。

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本文引用的文献

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The influence of obesity and fat distribution on ankle muscle coactivation during gait.肥胖和脂肪分布对步态中踝关节肌肉协同收缩的影响。
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Ankle muscles drive mediolateral center of pressure control to ensure stable steady state gait.踝关节肌肉驱动身体中侧线压力中心的控制,以确保稳定的稳态步态。
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