The identification of age-related differences in kinetic gait parameters using principal component analysis

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 (3–4 years (n = 13); 5–6 years (n = 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.