• 406 Citations
  • 12 h-Index
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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 21 Similar Profiles
Knee Osteoarthritis Medicine & Life Sciences
Orthotic Devices Medicine & Life Sciences
Knee Medicine & Life Sciences
Osteoarthritis Medicine & Life Sciences
Foot Orthoses Medicine & Life Sciences
Pain Medicine & Life Sciences
Meta-Analysis Medicine & Life Sciences
Shoes Medicine & Life Sciences

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Projects 2014 2017

Research Output 2009 2019

  • 406 Citations
  • 12 h-Index
  • 26 Article
  • 4 Meeting abstract
  • 4 Review article
  • 1 Comment/opinion

Current concepts in joint pain in knee osteoarthritis

Mills, K., Hübscher, M., O’Leary, H. & Moloney, N., 1 Feb 2019, In : Schmerz. 33, 1, p. 22-28 7 p.

Research output: Contribution to journalArticleResearchpeer-review

Knee Osteoarthritis

Do the benefits of participation in sport and exercise outweigh the negatives? An academic review

Mills, K., Dudley, D. & Collins, N. J., 21 Feb 2019, In : Best Practice and Research: Clinical Rheumatology.

Research output: Contribution to journalReview articleResearchpeer-review

Health Promotion
Mental Health

Minimal change in physical activity after lower limb joint arthroplasty, but the outcome measure may be contributing to the problem: a systematic review and meta-analysis

Mills, K., Falchi, B., Duckett, C. & Naylor, J., Mar 2019, In : Physiotherapy (United Kingdom). 105, 1, p. 35-45 11 p.

Research output: Contribution to journalArticleResearchpeer-review

Lower Extremity
Outcome Assessment (Health Care)

Participation in regular physical activity after total knee or hip arthroplasty for osteoarthritis: prevalence, associated factors, and type

Naylor, J. M., Pocovi, N., Descallar, J. & Mills, K. A., 1 Feb 2019, In : Arthritis Care and Research. 71, 2, p. 207-217 11 p.

Research output: Contribution to journalArticleResearchpeer-review

Hip Osteoarthritis

Predicting pain recovery in patients with acute low back pain: updating and validation of a clinical prediction model

da Silva, T., Macaskill, P., Kongsted, A., Mills, K., Maher, C. G. & Hancock, M. J., Feb 2019, In : European Journal of Pain (United Kingdom). 23, 2, p. 341-353 13 p.

Research output: Contribution to journalArticleResearchpeer-review

Low Back Pain
Validation Studies