Passive intervertebral motion characteristics in chronic mid to low back pain: A multivariate analysis
Authors: Brownhill, K., Mellor, F., Breen, A. and Breen, A.
Journal: Medical Engineering and Physics
Volume: 84
Pages: 115-125
eISSN: 1873-4030
ISSN: 1350-4533
DOI: 10.1016/j.medengphy.2020.08.006
Abstract:Purpose: 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.
https://eprints.bournemouth.ac.uk/34451/
Source: Scopus
Passive intervertebral motion characteristics in chronic mid to low back pain: A multivariate analysis.
Authors: Brownhill, K., Mellor, F., Breen, A. and Breen, A.
Journal: Med Eng Phys
Volume: 84
Pages: 115-125
eISSN: 1873-4030
DOI: 10.1016/j.medengphy.2020.08.006
Abstract:PURPOSE: 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.
https://eprints.bournemouth.ac.uk/34451/
Source: PubMed
Passive intervertebral motion characteristics in chronic mid to low back pain: A multivariate analysis
Authors: Brownhill, K., Mellor, F., Breen, A. and Breen, A.
Journal: MEDICAL ENGINEERING & PHYSICS
Volume: 84
Pages: 115-125
eISSN: 1873-4030
ISSN: 1350-4533
DOI: 10.1016/j.medengphy.2020.08.006
https://eprints.bournemouth.ac.uk/34451/
Source: Web of Science (Lite)
Passive Intervertebral Motion Characteristics in Chronic Mid to Low Back Pain: a Multivariate Analysis
Authors: Brownhill, K., Mellor, F., Breen, A. and Breen, A.
Journal: Medical Engineering & Physics
Publisher: Elsevier
DOI: 10.1016/j.medengphy.2020.08.006
Abstract:Purpose 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.
https://eprints.bournemouth.ac.uk/34451/
https://www.sciencedirect.com/journal/medical-engineering-and-physics/
Source: Manual
Passive intervertebral motion characteristics in chronic mid to low back pain: A multivariate analysis.
Authors: Brownhill, K., Mellor, F., Breen, A. and Breen, A.
Journal: Medical engineering & physics
Volume: 84
Pages: 115-125
eISSN: 1873-4030
ISSN: 1350-4533
DOI: 10.1016/j.medengphy.2020.08.006
Abstract:Purpose
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.https://eprints.bournemouth.ac.uk/34451/
Source: Europe PubMed Central
Passive Intervertebral Motion Characteristics in Chronic Mid to Low Back Pain: a Multivariate Analysis
Authors: Brownhill, K., Mellor, F., Breen, A.C. and Breen, A.C.
Journal: Medical Engineering and Physics
Volume: 84
Issue: October
Pages: 115-125
ISSN: 1350-4533
Abstract:Purpose: 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.
https://eprints.bournemouth.ac.uk/34451/
Source: BURO EPrints