Correlation between single limb support phase and self-evaluation questionnaires in knee osteoarthritis populations

Ronen Debi, Amit Mor, Ganit Segal, Ofer Segal, Gabriel Agar, Eytan Debbi, Nahum Halperin, Amir Haim, Avi Elbaz

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: To investigate the correlation between single limb support (SLS) phase (% of gait cycle) and the Western Ontario and McMaster University Osteoarthritis Index (WOMAC) questionnaire and Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36 Health Survey) in patients with knee osteoarthritis (OA). Method. A prospective observational study was employed with 125 adults with bilateral medial compartment symptomatic knee OA who underwent a physical and radiographic evaluation. Velocity, step length and SLS were assessed by a computerised mat (GAITRite). Patients completed the WOMAC and SF-36 Health Survey questionnaires. Results. Statistical analysis examined the correlations between SLS and both questionnaires, between Kellgren & Lawrence (K&L) scores and both questionnaires and between SLS correlations and K&L correlations. We found significantly stronger correlations between SLS and WOMAC-pain, WOMAC-function, the SF-36 pain sub-category, velocity and step length than between K&L scores and these parameters (Pearson's r=0.50 vs. 0.26, 0.53 vs. 0.34, 0.50 vs. 023, 0.81 vs. 0.33, 0.77 vs. 0.37, respectively; all p<0.05). Significant differences in SLS were found over WOMAC-pain, WOMAC-function and SF-36 overall score quartiles (p<0.05 for all). Conclusion. We recommend integrating SLS as an objective parameter in the comprehensive evaluation of patients with knee OA.

Original languageEnglish
Pages (from-to)1103-1109
Number of pages7
JournalDisability and Rehabilitation
Volume33
Issue number13-14
DOIs
StatePublished - 2011
Externally publishedYes

Keywords

  • SF-36
  • Single limb support
  • WOMAC
  • gait
  • osteoarthritis

Fingerprint

Dive into the research topics of 'Correlation between single limb support phase and self-evaluation questionnaires in knee osteoarthritis populations'. Together they form a unique fingerprint.

Cite this