Dr DANIEL MCWILLIAMS DAN.MCWILLIAMS@NOTTINGHAM.AC.UK
SENIOR RESEARCH FELLOW
Self-report central mechanisms trait predicts knee pain persistence in the Knee Pain In the Community (KPIC) cohort
McWilliams, Daniel; Akin-Akinyosoye, Kehinde; Walsh, David; Frowd, Nadia; Swaithes, Laura; Fernandes, Gwen; Stocks, Joanne; Sarmanova, Aliya; Zhang, Weiya; Doherty, Michael; Valdes, Ana; Ferguson, Eamonn
Authors
Kehinde Akin-Akinyosoye
Professor DAVID WALSH david.walsh@nottingham.ac.uk
PROFESSOR OF RHEUMATOLOGY
Nadia Frowd
Laura Swaithes
Gwen Fernandes
Dr JOANNE STOCKS JOANNE.STOCKS@NOTTINGHAM.AC.UK
Assistant Professor in Rehabilitation Technology
Aliya Sarmanova
Professor WEIYA ZHANG WEIYA.ZHANG@NOTTINGHAM.AC.UK
PROFESSOR OF EPIDEMIOLOGY
Michael Doherty
Professor ANA VALDES Ana.Valdes@nottingham.ac.uk
PROFESSOR OF MOLECULAR & GENETIC EPIDEMIOLOGY
Professor EAMONN FERGUSON eamonn.ferguson@nottingham.ac.uk
PROFESSOR OF HEALTH PSYCHOLOGY
Citation
McWilliams, D., Akin-Akinyosoye, K., Walsh, D., Frowd, N., Swaithes, L., Fernandes, G., Stocks, J., Sarmanova, A., Zhang, W., Doherty, M., Valdes, A., & Ferguson, E. (2019, April). Self-report central mechanisms trait predicts knee pain persistence in the Knee Pain In the Community (KPIC) cohort. Poster presented at Rheumatology 2019, Birmingham, UK
Presentation Conference Type | Poster |
---|---|
Conference Name | Rheumatology 2019 |
Start Date | Apr 30, 2019 |
End Date | May 2, 2019 |
Deposit Date | Jan 21, 2019 |
Publicly Available Date | Jan 23, 2019 |
Public URL | https://nottingham-repository.worktribe.com/output/1484060 |
Contract Date | Jan 21, 2019 |
Files
Abstract 19 10 18 Submission Ris
(426 Kb)
PDF
You might also like
Osteoarthritis in the UK Armed Forces: a review of its impact, treatment and future research
(2023)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search