Association between movement speed and instability catch kinematics and the differences between individuals with and without chronic low back pain

Studies reported the existence of instability catch (IC) during trunk flexion in patients with chronic low back pain (CLBP). However, different movement speeds can cause different neuromuscular demands resulting in altered kinematic patterns. In addition, kinematic characterization corresponding to...

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Bibliographic Details
Published in:Scientific reports 2024-09, Vol.14 (1), p.20850-7, Article 20850
Main Authors: Kongoun, Sasithorn, Klahan, Katayan, Rujirek, Natchaya, Vachalathiti, Roongtiwa, Richards, Jim, Wattananon, Peemongkon
Format: Article
Language:English
Subjects:
692/700/228/491
692/700/565/491
Adult
Back pain
Biomechanical Phenomena
Chronic low back pain
Chronic pain
Chronic Pain - physiopathology
Female
Humanities and Social Sciences
Humans
Inertial measurement unit
Instability catch
Kinematics
Low back pain
Low Back Pain - physiopathology
Male
Movement - physiology
multidisciplinary
Neuromuscular system
Range of Motion, Articular - physiology
Science
Science (multidisciplinary)
Trunk flexion
Young Adult
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Summary:Studies reported the existence of instability catch (IC) during trunk flexion in patients with chronic low back pain (CLBP). However, different movement speeds can cause different neuromuscular demands resulting in altered kinematic patterns. In addition, kinematic characterization corresponding to clinical observation of IC is still limited. Therefore, this study aimed to determine (1) the association between movement speed and kinematic parameters representing IC during trunk flexion and (2) the differences in kinematic parameters between individuals with and without CLBP. Fifteen no low back pain (NoLBP) and 15 CLBP individuals were recruited. Inertial measurement units (IMU) were attached to T3, L1, and S2 spinous processes. Participants performed active trunk flexion while IMU data were simultaneously collected. Total trunk, lumbar, and pelvic mean angular velocity (T_MV, L_MV, and P_MV), as well as number of zero-crossings, peak-to-peak, and area of sudden deceleration and acceleration (Num, P2P, and Area), were derived. Pearson’s correlation tests were used to determine the association between T_MV and L_MV, P_MV, Num, P2P, and Area. An ANCOVA was performed to determine the difference in kinematic parameters between groups using movement speed as a covariate. Significant associations ( P  
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-024-72128-1