The identification of age-related differences in kinetic gait parameters using principal component analysis
The identification of age-related differences in kinetic gait parameters using principal component analysis
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DOI：
10.1016/j.clinbiomech.2007.09.007
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发表时间：
2008-02-01
影响因子：
1.8
通讯作者：
Wrigley, Allan T.
中科院分区：
文献类型：
--
作者：
Chester, Victoria L.;Wrigley, Allan T.
背景成人样动力学步态模式的发病年龄是有争议的。研究间结果不一致的潜在原因是用于检验年龄组间动力学参数差异的统计分析。因此，本研究的目的是确定与年龄相关的差异，动力学步态参数在3-13岁的儿童使用主成分分析。对来自四个年龄组（34岁（n = 13）; 5-6岁（n = 10）; 7-8岁（n = 12）;和9-13岁（n = 12））中的每一个的七个动力学波形变量（N = 7）应用主成分分析。使用单因素方差分析和Kruskal-Wallis检验，将每个动力学变量的主成分评分用于检验组间差异。五个主成分得分存在显著的组间差异（P < 0.05）。跖屈力矩随年龄增长而增加，年龄最大的儿童组（9-13岁）表现出明显大于所有其他年龄组的跖屈肌力矩模式。与3-6岁相比，9-13岁的儿童在周期的前半段表现出显着更大的膝关节屈肌和伸肌力矩，并且在末端站立时稍后逆转为伸肌力矩。与3-4岁和7-8岁的儿童相比，老年组在前三分之一的周期中髋关节伸肌力矩减少，在后三分之一的周期中屈肌力矩增加。与所有其他组相比，在老年组中观察到较大的站立相髋关节外展力矩。接下来是一个更复杂的交替时刻模式。髋关节力量也表现出一系列复杂的年龄组之间的差异。与参数化技术相比，主成分分析确定了不同特征的动态步态数据区分儿科年龄组。这是第一个研究，以确定年龄相关的差异，步态动力学波形分析。(C)2007爱思唯尔有限公司保留所有权利。
Background. The age of onset of adult-like kinetic gait patterns is controversial. A potential cause of discrepant results between studies is the statistical analyses used to test for differences in kinetic parameters between age groups. Therefore, the purpose of this study was to identify age-related differences in kinetic gait parameters across children aged 3-13 years using principal component analysis.Methods. Principal component analysis was applied to seven kinetic waveform variables (N = 7) from each of four age groups (34 years (n = 13); 5-6 years (it = 10); 7-8 years (n = 12); and 9-13 years (n = 12)). The principal component scores for each kinetic variable were used to test for group differences using one-way ANOVA and Kruskal-Wallis tests.Findings. Significant group differences (P < 0.05) were found for five of the principal component scores. Plantarflexion moments increased with age and the oldest group of children (9-13 years old) demonstrated significantly larger plantarflexor moment patterns compared to all other age groups. The 9-13 years old showed significantly larger knee flexor and extensor moments for the first half of the cycle and a later reversal to extensor moments in terminal stance compared to 3-6 years old. The older group also showed decreased hip extensor moments for the first third of the cycle and increased flexor moments in the second third of the cycle compared to the 3-4 and 7-8 years old. Larger stance phase hip abduction moments were observed in the older group compared to all other groups. This was followed by a more complex pattern of alternating moments. Hip power also showed a complex series of differences between age-groups.Interpretation. Compared to parameterization techniques, principal component analysis identified different characteristics in kinetic gait data to discriminate between paediatric age groups. This is the first study to identify age-related differences in gait kinetics using waveform analysis. (C) 2007 Elsevier Ltd. All rights reserved.