Cross-Sectional Brain-Predicted Age Differences in Community-Dwelling Middle-Aged and Older Adults with High Impact Knee Pain.
brain aging
experimental pain
high impact chronic pain
knee osteoarthritis
psychosocial
Journal
Journal of pain research
ISSN: 1178-7090
Titre abrégé: J Pain Res
Pays: New Zealand
ID NLM: 101540514
Informations de publication
Date de publication:
2022
2022
Historique:
received:
05
08
2022
accepted:
25
10
2022
entrez:
23
11
2022
pubmed:
24
11
2022
medline:
24
11
2022
Statut:
epublish
Résumé
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. 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. 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). 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.
Identifiants
pubmed: 36415658
doi: 10.2147/JPR.S384229
pii: 384229
pmc: PMC9676000
doi:
Types de publication
Journal Article
Langues
eng
Pagination
3575-3587Subventions
Organisme : NIA NIH HHS
ID : P30 AG028740
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG067757
Pays : United States
Informations de copyright
© 2022 Johnson et al.
Déclaration de conflit d'intérêts
James H Cole reports non-financial support from and shares in BrainKey, and personal fees from and shares in Claritas HealthTech during the conduct of the study. The authors report no other potential conflicts of interest in this work. The abstract of this paper was presented at the 2022 US Association for the Study of Pain (USASP) Scientific Conference as a poster presentation with interim findings. The poster’s abstract was published in “Poster Abstracts” in May 2022, Journal of Pain; 23(5), Supplement, pg. 42.64
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