Physical performance and movement-evoked pain profiles in community-dwelling individuals at risk for knee osteoarthritis

Yenisel Cruz-Almeida, Josue Cardoso, Joseph L. Riley, Burel Goodin, Christopher D. King, Megan Petrov, Emily J. Bartley, Kimberly T. Sibille, Toni L. Glover, Matthew S. Herbert, Hailey W. Bulls, Adriana Addison, Roland Staud, David Redden, Laurence A. Bradley, Roger B. Fillingim

Research output: Contribution to journalArticlepeer-review

39 Scopus citations


Background Knee pain associated with osteoarthritis is a significant contributor to decreased physical function. Recent evidence supports the inter-individual heterogeneity associated with knee pain presentation, but whether there is similar heterogeneity in physical performance among these individuals has not been previously examined. The aim of the present study was to characterize the variability in physical performance profiles and the pain evoked by their performance (i.e., movement-evoked pain). Methods In a secondary analysis of the community-based study Understanding Pain and Limitations in Osteoarthritic Disease (UPLOAD), individuals (n = 270) completed functional, pain, psychological, and somatosensory assessments. Hierarchical cluster analysis was used to derive physical function profiles that were subsequently compared across several clinical, psychological and experimental pain measures. Results Our results support the hypothesis that among persons with knee OA pain, three different physical performance profiles exist with varying degrees of movement-evoked pain. Even as all three groups experienced moderate to severe levels of spontaneous knee pain, those individuals with the most severe movement-evoked pain and lowest physical functional performance also had the least favorable psychological characteristics along with increased mechanical pain sensitivity and temporal summation. Conclusions Our findings support the need for the assessment and consideration of movement-evoked pain during physical performance tasks as these have the potential to increase the value of functional and pain assessments clinically. The identification of the mechanisms driving pain burden within homogeneous groups of individuals will ultimately allow for targeted implementation of treatments consistent with a biopsychosocial model of pain.

Original languageEnglish (US)
Pages (from-to)186-191
Number of pages6
JournalExperimental Gerontology
StatePublished - Nov 2017


  • Inter-individual variability
  • Pain
  • Physical function

ASJC Scopus subject areas

  • Biochemistry
  • Aging
  • Molecular Biology
  • Genetics
  • Endocrinology
  • Cell Biology


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