Literature DB >> 28087062

Timing and magnitude of lumbar spine contribution to trunk forward bending and backward return in patients with acute low back pain.

Iman Shojaei1, Milad Vazirian1, Elizabeth G Salt2, Linda R Van Dillen3, Babak Bazrgari4.   

Abstract

Alterations in the lumbo-pelvic coordination denote changes in neuromuscular control of trunk motion as well as load sharing between passive and active tissues in the lower back. Differences in timing and magnitude aspects of lumbo-pelvic coordination between patients with chronic low back pain (LBP) and asymptomatic individuals have been reported; yet, the literature on lumbo-pelvic coordination in patients with acute LBP is scant. A case-control study was conducted to explore the differences in timing and magnitude aspects of lumbo-pelvic coordination between females with (n=19) and without (n=19) acute LBP. Participants in each group completed one experimental session wherein they performed trunk forward bending and backward return at preferred and fast paces. The amount of lumbar contribution to trunk motion (as the magnitude aspect) as well as the mean absolute relative phase (MARP) and deviation phase (DP) between thoracic and pelvic rotations (as the timing aspect) of lumbo-pelvic coordination were calculated. The lumbar contribution to trunk motion in the 2nd and the 3rd quarters of both forward bending and backward return phases was significantly smaller in the patient than the control group. The MARP and the DP were smaller in the patient vs. the control group during entire motion. The reduced lumbar contribution to trunk motion as well as the more in-phase and less variable lumbo-pelvic coordination in patients with acute LBP compared to the asymptomatic controls is likely the result of a neuromuscular adaptation to reduce painful deformation and to protect injured lower back tissues.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Acute low back pain; Continuous relative phase; Lumbo-pelvic coordination; Timing and magnitude aspects; Trunk forward bending and backward return

Mesh:

Year:  2017        PMID: 28087062      PMCID: PMC5340574          DOI: 10.1016/j.jbiomech.2016.12.039

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  35 in total

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Journal:  J Anat       Date:  1965-01       Impact factor: 2.610

2.  Computation of trunk equilibrium and stability in free flexion-extension movements at different velocities.

Authors:  B Bazrgari; A Shirazi-Adl; M Trottier; P Mathieu
Journal:  J Biomech       Date:  2007-09-27       Impact factor: 2.712

3.  The relationship between flexibility and EMG activity pattern of the erector spinae muscles during trunk flexion-extension.

Authors:  Fahime Hashemirad; Saeed Talebian; Boshra Hatef; Amir H Kahlaee
Journal:  J Electromyogr Kinesiol       Date:  2008-04-08       Impact factor: 2.368

4.  Lumbar contribution to the trunk forward bending and backward return; age-related differences.

Authors:  Milad Vazirian; Iman Shojaei; Anuj Agarwal; Babak Bazrgari
Journal:  Ergonomics       Date:  2016-10-12       Impact factor: 2.778

5.  Effect of experimental low back pain on neuromuscular control of the trunk in healthy volunteers and patients with chronic low back pain.

Authors:  Jean-Daniel Dubois; Mathieu Piché; Vincent Cantin; Martin Descarreaux
Journal:  J Electromyogr Kinesiol       Date:  2011-10       Impact factor: 2.368

6.  The effects of movement speed on kinematic variability and dynamic stability of the trunk in healthy individuals and low back pain patients.

Authors:  Morteza Asgari; Mohammad Ali Sanjari; Hamid Reza Mokhtarinia; Samaneh Moeini Sedeh; Kinda Khalaf; Mohamad Parnianpour
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7.  Low back pain status affects pelvis-trunk coordination and variability during walking and running.

Authors:  Joseph F Seay; Richard E A Van Emmerik; Joseph Hamill
Journal:  Clin Biomech (Bristol, Avon)       Date:  2011-05-04       Impact factor: 2.063

8.  Trunk control during standing reach: A dynamical system analysis of movement strategies in patients with mechanical low back pain.

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9.  Comparison of lumbopelvic rhythm and flexion-relaxation response between 2 different low back pain subtypes.

Authors:  Min-hee Kim; Chung-hwi Yi; Oh-yun Kwon; Sang-hyun Cho; Heon-seock Cynn; Young-ho Kim; Seon-hong Hwang; Bo-ram Choi; Ji-a Hong; Doh-heon Jung
Journal:  Spine (Phila Pa 1976)       Date:  2013-07-01       Impact factor: 3.468

10.  Lumbopelvic rhythm during forward and backward sagittal trunk rotations: combined in vivo measurement with inertial tracking device and biomechanical modeling.

Authors:  A Tafazzol; N Arjmand; A Shirazi-Adl; M Parnianpour
Journal:  Clin Biomech (Bristol, Avon)       Date:  2013-11-01       Impact factor: 2.063

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  9 in total

1.  Spinal movement variability associated with low back pain: A scoping review.

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Journal:  PLoS One       Date:  2021-05-24       Impact factor: 3.240

2.  A prospective study of lumbo-pelvic coordination in patients with non-chronic low back pain.

Authors:  Iman Shojaei; Elizabeth G Salt; Babak Bazrgari
Journal:  J Biomech       Date:  2019-08-07       Impact factor: 2.789

3.  Inter-segmental coordination of the spine is altered during lifting in patients with ankylosing spondylitis: A cross-sectional study.

Authors:  Huijie Lin; Stefan Seerden; Xianyi Zhang; Weijie Fu; Benedicte Vanwanseele
Journal:  Medicine (Baltimore)       Date:  2020-01       Impact factor: 1.889

4.  Changes in Lumbo-Pelvic Coordination of Individuals With and Without Low Back Pain When Wearing a Hip Orthosis.

Authors:  Matthew T Ballard; Colin Drury; Babak Bazrgari
Journal:  Front Sports Act Living       Date:  2020-07-16

5.  Recovery of the lumbopelvic movement and muscle recruitment patterns using motor control exercise program in people with chronic nonspecific low back pain: A prospective study.

Authors:  Sharon M H Tsang; Grace P Y Szeto; Angelina K C Yeung; Eva Y W Chun; Caroline N C Wong; Edwin C M Wu; Raymond Y W Lee
Journal:  PLoS One       Date:  2021-11-18       Impact factor: 3.240

6.  Machine Learning Identifies Chronic Low Back Pain Patients from an Instrumented Trunk Bending and Return Test.

Authors:  Paul Thiry; Martin Houry; Laurent Philippe; Olivier Nocent; Fabien Buisseret; Frédéric Dierick; Rim Slama; William Bertucci; André Thévenon; Emilie Simoneau-Buessinger
Journal:  Sensors (Basel)       Date:  2022-07-03       Impact factor: 3.847

7.  The relationship between indicators of lumbo-pelvic coordination and pain, disability, pain catastrophizing and depression in patients presenting with non-chronic low back pain.

Authors:  Elizabeth Salt; Amanda T Wiggins; Mary Kay Rayens; Quenten Hooker; Iman Shojaei; Babak Bazrgari
Journal:  Ergonomics       Date:  2020-04-22       Impact factor: 2.561

Review 8.  Application of advanced biomechanical methods in studying low back pain - recent development in estimation of lower back loads and large-array surface electromyography and findings.

Authors:  Babak Bazrgari; Ting Xia
Journal:  J Pain Res       Date:  2017-07-17       Impact factor: 3.133

9.  Low Back Pain: The Potential Contribution of Supraspinal Motor Control and Proprioception.

Authors:  Michael Lukas Meier; Andrea Vrana; Petra Schweinhardt
Journal:  Neuroscientist       Date:  2018-11-02       Impact factor: 7.519

  9 in total

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