Imperial College London
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ProfessorAlisonMcGregor

Faculty of Medicine, Department of Surgery & Cancer

Professor of Musculoskeletal Biodynamics
 
 
 
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Contact

 

+44 (0)20 7594 2972a.mcgregor

 
 
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Location

 

Room 202ASir Michael Uren HubWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Papi:2020:10.1016/j.jbiomech.2019.109597,
author = {Papi, E and Bull, AMJ and McGregor, AH},
doi = {10.1016/j.jbiomech.2019.109597},
journal = {Journal of Biomechanics},
pages = {109597--109597},
title = {Alteration of movement patterns in low back pain assessed by Statistical Parametric Mapping},
url = {http://dx.doi.org/10.1016/j.jbiomech.2019.109597},
volume = {100},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Changes in movement pattern in low back pain (LBP) groups have been analysed by reporting predefined discrete variables. However, this approach does not consider the full kinematic data waveform and its dynamic information, potentially exposing the analysis to bias. Statistical Parametric Mapping (SPM) has been introduced and applied to 1 dimensional (D) kinematic variables allowing the assessment of data over time. The aims of this study were to assess differences in 3D kinematics patterns in people with and without LBP during functional tasks by using SPM and to investigate if SPM analysis was consistent with standard 3D range of motion (RoM) assessments. 3D joints kinematics of the spine and lower limbs were compared between 20 healthy controls and 20 participants with non-specific LBP during walking, sit-to-stand and lifting. SPM analysis showed significant differences in the 3Dkinematics of the lower thoracic segment, upper and lower lumbar segment and knee joint during walking and lifting mostly observed at the beginning and/or towards the end of the tasks. ROMs differed between groups in the lower thoracic segment (walking/sit-to-stand), upper and lower lumbar segments (walking/sit-to-stand/lifting), hip and knee (sit-to-stand/lifting). Based on these results, the two approaches can yield different data interpretations. SPM analysis allows the identification of differences in movement that occur over time. This adds value to LBP movement analysis as it allows an understanding of the LBP strategies adopted during motion that may not be conveyed by simple discrete parameters such as ROMs.
AU  - Papi,E
AU  - Bull,AMJ
AU  - McGregor,AH
DO  - 10.1016/j.jbiomech.2019.109597
EP  - 109597
PY  - 2020///
SN  - 0021-9290
SP  - 109597
TI  - Alteration of movement patterns in low back pain assessed by Statistical Parametric Mapping
T2  - Journal of Biomechanics
UR  - http://dx.doi.org/10.1016/j.jbiomech.2019.109597
UR  - https://www.sciencedirect.com/science/article/pii/S0021929019308607?via%3Dihub
UR  - http://hdl.handle.net/10044/1/75996
VL  - 100
ER  -
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