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dc.contributor.authorBrownhill, Kevin
dc.contributor.authorMellor, Fiona
dc.contributor.authorBreen, Alex
dc.contributor.authorBreen, Alan
dc.date.accessioned2020-08-27T08:49:59Z
dc.date.available2020-08-27T08:49:59Z
dc.date.issued2020
dc.identifier.citationBrownhill, K., Mellor, F., Breen, A. and Breen, A., 2020. Passive intervetebral motion characteristics in chronic mid to low back pain: A multivariate analysis. Medical Engineering and Physics, 84, 115-125 https://doi.org/10.1016/j.medengphy.2020.08.006en
dc.identifier.issn1350-4533
dc.identifier.urihttps://aecc.archive.knowledgearc.net/handle/123456789/131
dc.descriptionAvailable under License - Creative Commons Attribution: https://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.description.abstractPurpose: Studies comparing back pain patients and controls on continuous intervertebral kinematics have shown differences using univariate parameters. Hitherto, multivariate approaches have not been applied to this high dimensional data, risking clinically relevant features being undetected. A multivariate re-analysis was carried out to estimate main modes of variation, and explore group differences. Methods: 40 participants with mechanical back pain and 40 matched controls underwent passive recumbent quantitative videofluoroscopy. Intervertebral angles of L2/3 to L4/5 were obtained for right and left side-bending, extension, and flexion. Principal components analysis (PCA) was used to identify the main modes of variation, and to obtain a lower dimensional representation for comparing groups. Linear discriminant analysis (LDA) was used to identify how groups differed. Results: PCA identified three main modes of variation, all relating to range of motion (ROM) and its distribution between joints. Significant differences were found for coronal plane motions only (right: p = 0.02, left: p = 0.03) . LDA identified a shift in ROM to more cranial joints in the back pain group. Conclusion: The results confirm altered motion sharing between intervertebral joints in back pain, and provides more details about this. Further work is required to establish how these findings lead to pain, and so strengthen the theoretical basis for treatment and management of this condition.en
dc.language.isoenen
dc.publisherMedical Engineering and Physicsen
dc.titlePassive intervetebral motion characteristics in chronic mid to low back pain: A multivariate analysisen
dc.typeArticleen
dc.identifier.doihttps://doi.org/10.1016/j.medengphy.2020.08.006


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