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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-...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
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.
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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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