ArticleJournal of biomechanics2020
Alteration of movement patterns in low back pain assessed by Statistical Parametric Mapping.
Article in Journal of biomechanics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- Stereophotogrammetric approaches to multi-segmental kinematics of the thoracolumbar spine: a systematic review.BMC musculoskeletal disorders · 2022Pooled it
- Analysis of the kinematic features of pelvic and lower limb motion in patients with hip osteoarthritis and acetabular dysplasia.Scientific reports · 2026Article
- Relationship between pelvic incidence and hip, pelvic, and lumbar motion during squatting in healthy individuals with high and low pelvic incidence.Scientific reports · 2026Article
- Effects of artificially increased activation of the gluteus medius on ipsilateral lower limb muscles force during gait.PloS one · 2026Article
- Biomechanical and physiological effects of an upper-body exoskeleton during simulated load-carrying on an inclined surface.PloS one · 2025Article
- In-vivo 3-dimensional spine and lower body gait symmetry analysis in healthy individuals.Heliyon · 2024Article
- Kinematic Analysis of Pelvic and Lower Limb Joints during Stand-to-sit Movement in Individuals with Chronic Low Back Pain: A cross-sectional study.The archives of bone and joint surgery · 2024Article
- Detection of kinematic abnormalities in persons with knee osteoarthritis using markerless motion capture during functional movement screen and daily activities.Frontiers in bioengineering and biotechnology · 2024Article
- Intrinsic variables associated with low back pain and lumbar spine injury in fast bowlers in cricket: a systematic review.BMC sports science, medicine & rehabilitation · 2023Article
- Biomechanical Phenotyping of Chronic Low Back Pain: Protocol for BACPAC.Pain medicine (Malden, Mass.) · 2023Article
- Shoulder biomechanics of para-table tennis: a case study of a standing class para-athlete with severe leg impairment.BMC sports science, medicine & rehabilitation · 2022Article
- Intersegmental Coordination in Patients With Total Knee Arthroplasty During Walking.Frontiers in bioengineering and biotechnology · 2022Article
- A Reference Database of Standardised Continuous Lumbar Intervertebral Motion Analysis for Conducting Patient-Specific Comparisons.Frontiers in bioengineering and biotechnology · 2021Article
- From Stoop to Squat: A Comprehensive Analysis of Lumbar Loading Among Different Lifting Styles.Frontiers in bioengineering and biotechnology · 2021Article
- Videos of common activities reveal movement patterns associated with biopsychosocial low back function in a worldwide cohort.Digital healthArticle
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.