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Cross-Sectional Brain-Predicted Age Differences in Community-Dwelling Middle-Aged and Older Adults with High Impact Knee Pain
PURPOSE: Knee OA-related pain varies in impact across individuals and may relate to central nervous system alterations like accelerated brain aging processes. We previously reported that older adults with chronic musculoskeletal pain had a significantly greater brain-predicted age, compared to pain-...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676000/ https://www.ncbi.nlm.nih.gov/pubmed/36415658 http://dx.doi.org/10.2147/JPR.S384229 |
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author | Johnson, Alisa J Buchanan, Taylor Laffitte Nodarse, Chavier Valdes Hernandez, Pedro A Huo, Zhiguang Cole, James H Buford, Thomas W Fillingim, Roger B Cruz-Almeida, Yenisel |
author_facet | Johnson, Alisa J Buchanan, Taylor Laffitte Nodarse, Chavier Valdes Hernandez, Pedro A Huo, Zhiguang Cole, James H Buford, Thomas W Fillingim, Roger B Cruz-Almeida, Yenisel |
author_sort | Johnson, Alisa J |
collection | PubMed |
description | PURPOSE: Knee OA-related pain varies in impact across individuals and may relate to central nervous system alterations like accelerated brain aging processes. We previously reported that older adults with chronic musculoskeletal pain had a significantly greater brain-predicted age, compared to pain-free controls, indicating an “older” appearing brain. Yet this association is not well understood. This cross-sectional study examines brain-predicted age differences associated with chronic knee osteoarthritis pain, in a larger, more demographically diverse sample with consideration for pain’s impact. PATIENTS AND METHODS: Participants (mean age = 57.8 ± 8.0 years) with/without knee OA-related pain were classified according to pain’s impact on daily function (ie, impact): low-impact (n=111), and high-impact (n=60) pain, and pain-free controls (n=31). Participants completed demographic, pain, and psychosocial assessments, and T1-weighted magnetic resonance imaging. Brain-predicted age difference (brain-PAD) was compared across groups using analysis of covariance. Partial correlations examined associations of brain-PAD with pain and psychosocial variables. RESULTS: Individuals with high-impact chronic knee pain had significantly “older” brains for their age compared to individuals with low-impact knee pain (p < 0.05). Brain-PAD was also significantly associated with clinical pain, negative affect, passive coping, and pain catastrophizing (p’s<0.05). CONCLUSION: Our findings suggest that high impact chronic knee pain is associated with an older appearing brain on MRI. Future studies are needed to determine the impact of pain-related interference and pain management on somatosensory processing and brain aging biomarkers for high-risk populations and effective intervention strategies. |
format | Online Article Text |
id | pubmed-9676000 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-96760002022-11-21 Cross-Sectional Brain-Predicted Age Differences in Community-Dwelling Middle-Aged and Older Adults with High Impact Knee Pain Johnson, Alisa J Buchanan, Taylor Laffitte Nodarse, Chavier Valdes Hernandez, Pedro A Huo, Zhiguang Cole, James H Buford, Thomas W Fillingim, Roger B Cruz-Almeida, Yenisel J Pain Res Original Research PURPOSE: Knee OA-related pain varies in impact across individuals and may relate to central nervous system alterations like accelerated brain aging processes. We previously reported that older adults with chronic musculoskeletal pain had a significantly greater brain-predicted age, compared to pain-free controls, indicating an “older” appearing brain. Yet this association is not well understood. This cross-sectional study examines brain-predicted age differences associated with chronic knee osteoarthritis pain, in a larger, more demographically diverse sample with consideration for pain’s impact. PATIENTS AND METHODS: Participants (mean age = 57.8 ± 8.0 years) with/without knee OA-related pain were classified according to pain’s impact on daily function (ie, impact): low-impact (n=111), and high-impact (n=60) pain, and pain-free controls (n=31). Participants completed demographic, pain, and psychosocial assessments, and T1-weighted magnetic resonance imaging. Brain-predicted age difference (brain-PAD) was compared across groups using analysis of covariance. Partial correlations examined associations of brain-PAD with pain and psychosocial variables. RESULTS: Individuals with high-impact chronic knee pain had significantly “older” brains for their age compared to individuals with low-impact knee pain (p < 0.05). Brain-PAD was also significantly associated with clinical pain, negative affect, passive coping, and pain catastrophizing (p’s<0.05). CONCLUSION: Our findings suggest that high impact chronic knee pain is associated with an older appearing brain on MRI. Future studies are needed to determine the impact of pain-related interference and pain management on somatosensory processing and brain aging biomarkers for high-risk populations and effective intervention strategies. Dove 2022-11-16 /pmc/articles/PMC9676000/ /pubmed/36415658 http://dx.doi.org/10.2147/JPR.S384229 Text en © 2022 Johnson et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Johnson, Alisa J Buchanan, Taylor Laffitte Nodarse, Chavier Valdes Hernandez, Pedro A Huo, Zhiguang Cole, James H Buford, Thomas W Fillingim, Roger B Cruz-Almeida, Yenisel Cross-Sectional Brain-Predicted Age Differences in Community-Dwelling Middle-Aged and Older Adults with High Impact Knee Pain |
title | Cross-Sectional Brain-Predicted Age Differences in Community-Dwelling Middle-Aged and Older Adults with High Impact Knee Pain |
title_full | Cross-Sectional Brain-Predicted Age Differences in Community-Dwelling Middle-Aged and Older Adults with High Impact Knee Pain |
title_fullStr | Cross-Sectional Brain-Predicted Age Differences in Community-Dwelling Middle-Aged and Older Adults with High Impact Knee Pain |
title_full_unstemmed | Cross-Sectional Brain-Predicted Age Differences in Community-Dwelling Middle-Aged and Older Adults with High Impact Knee Pain |
title_short | Cross-Sectional Brain-Predicted Age Differences in Community-Dwelling Middle-Aged and Older Adults with High Impact Knee Pain |
title_sort | cross-sectional brain-predicted age differences in community-dwelling middle-aged and older adults with high impact knee pain |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676000/ https://www.ncbi.nlm.nih.gov/pubmed/36415658 http://dx.doi.org/10.2147/JPR.S384229 |
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