3D strength surfaces for ankle plantar- and dorsi-flexion in healthy adults: an isometric and isokinetic dynamometry study.
3D strength surfaces for ankle plantar- and dorsi-flexion in healthy adults: an isometric and isokinetic dynamometry study.
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DOI：
10.1186/s13047-016-0174-1
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发表时间：
2016
影响因子：
2.9
通讯作者：
Frey-Law L
中科院分区：
文献类型：
--
作者：
Hussain SJ;Frey-Law L
踝关节是人体运动链的重要组成部分，踝关节力量不足会对平衡和步态等功能任务产生负面影响。虽然最大扭矩受关节角度和运动速度的影响，但踝关节强度通常只受单一角度或运动速度的影响。为了更好地识别损伤或手术干预后踝关节力量的缺陷和跟踪恢复，需要在健康成人的运动速度和关节角度范围内的踝关节力量。因此，本研究的主要目的是为健康男性和女性踝关节跖屈（PF）和背屈（DF）力量建立一个力量值数据库和三维力量面模型。次要目标是开发一种方法来估计踝关节力量百分位数，并检查健康成人最大踝关节力量的预测因子。使用等速测力仪，我们测试了53名健康成人在5个关节角（- 10°[DF]、0°[中性]、10°[PF]、20°[PF]和30°[PF]）和6个速度（0°/s、30°/s、60°/s、90°/s、120°/s和180°/s）下的PF和DF峰值扭矩。这些数据被用来为每个方向的男性和女性生成3D图，或“强度面”；曲面采用logistic方程拟合。我们还测试了脚踝力量的预测指标，包括身高、体重、性别和自我报告的身体活动水平。踝关节处的扭矩-速度和扭矩-角度关系相互作用，表明这些关系是相互依赖的，最好使用3D曲面建模。与身高、体重和自我报告的身体活动水平相比，性别是踝关节强度的最强预测因子。平均峰值扭矩的79 - 97%的方差是由关节角度和运动速度使用逻辑方程来解释的，分别适用于男性和女性以及PF和DF方向。3D强度数据和表面模型提供了比以前报道的更全面的健康成人踝关节强度数据集。这些模型可以让研究人员和临床医生量化踝关节力量缺陷，并跟踪患者群体的恢复情况，使用特定角度和速度的踝关节力量值和/或健康成人的力量百分位数。本文的在线版本（doi:10.1186/s13047-016-0174-1）包含补充材料，可供授权用户使用。
The ankle is an important component of the human kinetic chain, and deficits in ankle strength can negatively impact functional tasks such as balance and gait. While peak torque is influenced by joint angle and movement velocity, ankle strength is typically reported for a single angle or movement speed. To better identify deficits and track recovery of ankle strength after injury or surgical intervention, ankle strength across a range of movement velocities and joint angles in healthy adults is needed. Thus, the primary goals of this study were to generate a database of strength values and 3-dimensional strength surface models for plantarflexion (PF) and dorsiflexion (DF) ankle strength in healthy men and women. Secondary goals were to develop a means to estimate ankle strength percentiles as well as examine predictors of maximal ankle strength in healthy adults. Using an isokinetic dynamometer, we tested PF and DF peak torques at five joint angles (−10° [DF], 0° [neutral], 10° [PF], 20° [PF] and 30° [PF]) and six velocities (0°/s, 30°/s, 60°/s, 90°/s, 120°/s and 180°/s) in 53 healthy adults. These data were used to generate 3D plots, or “strength surfaces”, for males and females for each direction; surfaces were fit using a logistic equation. We also tested predictors of ankle strength, including height, weight, sex, and self-reported physical activity levels. Torque-velocity and torque-angle relationships at the ankle interact, indicating that these relationships are interdependent and best modeled using 3D surfaces. Sex was the strongest predictor of ankle strength over height, weight, and self-reported physical activity levels. 79 to 97 % of the variance in mean peak torque was explained by joint angle and movement velocity using logistic equations, for men and women and PF and DF directions separately. The 3D strength data and surface models provide a more comprehensive dataset of ankle strength in healthy adults than previously reported. These models may allow researchers and clinicians to quantify ankle strength deficits and track recovery in patient populations, using angle- and velocity-specific ankle strength values and/or strength percentiles from healthy adults. The online version of this article (doi:10.1186/s13047-016-0174-1) contains supplementary material, which is available to authorized users.
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影响因子：
1.4
作者：
Frey-Law, Laura A.;Laake, Andrea;Abdel-Malek, Karim
通讯作者：
Abdel-Malek, Karim
影响因子：
3
作者：
FUGLMEYER, AR
通讯作者：
FUGLMEYER, AR
影响因子：
3
作者：
FUGLMEYER, AR;GUSTAFSSON, L;BURSTEDT, Y
通讯作者：
BURSTEDT, Y
影响因子：
3.3
作者：
Koh, TJ;Herzog, W
通讯作者：
Herzog, W
DOI：
10.1016/j.foot.2012.11.001
发表时间：
2013-03-01
期刊：
Foot (Edinburgh, Scotland)
影响因子：
--
作者：
Martinelli, Alessandra Rezende;Mantovani, Alessandra Madia;Fregonesi, Cristina Elena Prado Teles
通讯作者：
Fregonesi, Cristina Elena Prado Teles