Kehinde Akin-Akinyosoye
Traits associated with central pain augmentation in the Knee Pain in the Community (KPIC) cohort
Akin-Akinyosoye, Kehinde; Frowd, Nadia; Marshall, Laura; Stocks, Joanne; Fernandes, Gwen Sascha; Valdes, Ana M.; McWilliams, Daniel F.; Zhang, Weiya; Doherty, Michael; Ferguson, Eamonn; Walsh, David A.
Authors
Nadia Frowd
Laura Marshall
Dr JOANNE STOCKS JOANNE.STOCKS@NOTTINGHAM.AC.UK
Assistant Professor in Rehabilitation Technology
Gwen Sascha Fernandes
Professor ANA VALDES Ana.Valdes@nottingham.ac.uk
Professor of Molecular & Genetic Epidemiology
Dr DANIEL MCWILLIAMS DAN.MCWILLIAMS@NOTTINGHAM.AC.UK
Senior Research Fellow
Professor WEIYA ZHANG WEIYA.ZHANG@NOTTINGHAM.AC.UK
Professor of Epidemiology
Michael Doherty
EAMONN FERGUSON eamonn.ferguson@nottingham.ac.uk
Professor of Health Psychology
DAVID WALSH david.walsh@nottingham.ac.uk
Professor of Rheumatology
Abstract
This study aimed to identify self-report correlates of central pain augmentation in individuals with knee pain. A subset of participants (n=420) in the Knee Pain and related health In the Community (KPIC) baseline survey undertook pressure pain threshold (PPT) assessments. Items measuring specific traits related to central pain mechanisms were selected from the survey based on expert consensus, face validity, item association to underlying constructs measured by originating host questionnaires, adequate targeting and PPT correlations. Pain distribution was reported on a body manikin. A `central pain mechanisms’ factor was sought by factor analysis. Associations of items, the derived factor and originating questionnaires with PPTs were compared. Eight self-report items measuring traits of anxiety, depression, catastrophizing, neuropathic- like pain, fatigue, sleep disturbance, pain distribution and cognitive impact, were identified as likely indices of central pain mechanisms. PPTs were associated with items representing each trait and with their originating scales. Pain distribution classified as “pain below the waist additional to knee pain” was more strongly associated with low PPT than were alternative classifications of pain distribution. A single factor, interpreted as “central pain mechanisms”, was identified across the 8 selected items and explained variation in PPT (R² = 0.17) better than did any originating scale (R² = 0.10 to 0.13). In conclusion, including representative items within a composite self-report tool might help identify people with centrally augmented knee pain.
Citation
Akin-Akinyosoye, K., Frowd, N., Marshall, L., Stocks, J., Fernandes, G. S., Valdes, A. M., …Walsh, D. A. (2018). Traits associated with central pain augmentation in the Knee Pain in the Community (KPIC) cohort. PAIN, 159(6), 1035–1044. https://doi.org/10.1097/j.pain.0000000000001183
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 5, 2018 |
Online Publication Date | Feb 9, 2018 |
Publication Date | 2018-06 |
Deposit Date | Feb 8, 2018 |
Publicly Available Date | Feb 9, 2018 |
Journal | PAIN |
Print ISSN | 0304-3959 |
Electronic ISSN | 1872-6623 |
Publisher | Lippincott, Williams & Wilkins |
Peer Reviewed | Peer Reviewed |
Volume | 159 |
Issue | 6 |
Pages | 1035–1044 |
DOI | https://doi.org/10.1097/j.pain.0000000000001183 |
Keywords | Knee Pain, Phenotypes, central mechanisms, Quantitative Sensory Testing |
Public URL | https://nottingham-repository.worktribe.com/output/910955 |
Publisher URL | https://insights.ovid.com/crossref?an=00006396-900000000-99036 |
Contract Date | Feb 8, 2018 |
Files
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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0
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