Peterson, JA;
Johnson, A;
Nordarse, CL;
Huo, Z;
Cole, J;
Fillingim, RB;
Cruz-Almeida, Y;
(2023)
Brain predicted age difference mediates pain impact on physical performance in community dwelling middle to older aged adults.
Geriatric Nursing
, 50
pp. 181-187.
10.1016/j.gerinurse.2023.01.019.
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Abstract
The purpose of the study was to examine associations between physical performance and brain aging in individuals with knee pain and whether the association between pain and physical performance is mediated by brain aging. Participants (n=202) with low impact knee pain (n=111), high impact knee pain (n=60) and pain-free controls (n=31) completed self-reported pain, magnetic resonance imaging (MRI), and a Short Physical Performance Battery (SPPB) that included balance, walking, and sit to stand tasks. Brain predicted age difference, calculated using machine learning from MRI images, significantly mediated the relationships between walking and knee pain impact (CI: -0.124; -0.013), walking and pain-severity (CI: -0.008; -0.001), total SPPB score and knee pain impact (CI: -0.232; -0.025), and total SPPB scores and pain-severity (CI: -0.019; -0.001). Brain-aging begins to explain the association between pain and physical performance, especially walking. This study supports the idea that a brain aging prediction can be calculated from shorter duration MRI sequences and possibly implemented in a clinical setting to be used to identify individuals with pain who are at risk for accelerated brain atrophy and increased likelihood of disability.
Type: | Article |
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Title: | Brain predicted age difference mediates pain impact on physical performance in community dwelling middle to older aged adults |
Location: | United States |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.gerinurse.2023.01.019 |
Publisher version: | https://doi.org/10.1016/j.gerinurse.2023.01.019 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Aging, Knee osteoarthritis, Knee pain, Mobility, Neuroimaging, Physical performance |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10165876 |
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