Relationship between knee adduction moment patterns extracted using principal component analysis and discrete measures with different amplitude normalizations: Implications for knee osteoarthritis progression studies

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10 Citations (Scopus)

Résumé

Background Knee adduction moment discrete features (peaks and impulses) are commonly reported in knee osteoarthritis gait studies, but they do not necessarily capture loading patterns. Principal component analysis extracts dynamic patterns, but can be difficult to interpret. This methodological study determined relationships between external knee adduction moment discrete measures and principal component analysis features, and examined whether amplitude-normalization methods influenced differences in those with knee osteoarthritis who progressed to surgery versus those that did not. Methods 54 knee osteoarthritis patients had three-dimensional biomechanical measures assessed during walking. Knee adduction moments were calculated and non-normalized and amplitude-normalized waveforms using two common methods were calculated. Patterns were extracted using principal component analysis. Knee adduction moment peak and impulse were calculated. Correlation coefficients were determined between two knee adduction moment patterns extracted and peak and impulse. T-tests evaluated between-group differences. Findings An overall magnitude pattern was correlated with peak (r = 0.88-0.90, p< 0.05) and impulse (r = 0.93, p< 0.05). A pattern capturing a difference between early and mid/late -stance knee adduction moment was significantly correlated with peak (r = 0.27-0.40, p< 0.05), but explained minimal variance. Between-group peak differences were only affected by amplitude-normalization method. Interpretation Findings suggest that the overall magnitude knee adduction moment principal pattern does not provide unique information from peak and impulse measures. However, low correlations and minimal variance explained between the pattern capturing ability to unload the joint during mid-stance and the two discrete measures, suggests that this pattern captured a unique waveform feature.

Langue d'origineEnglish
Pages (de-à)1146-1152
Nombre de pages7
JournalClinical Biomechanics
Volume30
Numéro de publication10
DOI
Statut de publicationPublished - déc. 1 2015

Note bibliographique

Funding Information:
The authors would like to thank the Canadian Institutes of Health Research (grant number 115057-CHK ) for operating funding and the Nova Scotia Health Research Foundation, Killam Trust, Natural Sciences and Engineering Research Council of Canada, for fellowship funding (GH). The authors acknowledge that the funding sources had no involvement in study design, data collection, analysis, and interpretation, writing of the manuscript, and in the decision to submit the manuscript for publication.

Publisher Copyright:
© 2015 Elsevier Ltd.

ASJC Scopus Subject Areas

  • Biophysics
  • Orthopedics and Sports Medicine

PubMed: MeSH publication types

  • Journal Article
  • Research Support, Non-U.S. Gov't

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