Literature DB >> 8508286

Measurement of the range and coupled movements observed in the lumbar spine.

P Russell1, M J Pearcy, A Unsworth.   

Abstract

The aim of this study was to set up a data base, using the Polhemus Navigation Sciences 3Space Isotrak system, of the range and coupled movements expected to be seen in the lumbar spine of people not experiencing spinal problems. Measurements were taken from groups of volunteers who had not previously experienced any form of serious back pain and who were not suffering from any pathology known to affect the spine. The 'normal' group was split into sections determined by age an dsex. Age was split into five categories, those aged 20-29 years, 30-39 years, 40-49 years, 50-59 years and 60-69 years. Range of motion was seen to be affected by both the age and sex of subjects. Lateral bend and axial rotation, flexion and lateral bend and flexion and axial rotation were all strongly coupled. The younger age groups tested exhibited a greater degree of coupled movement than the older groups.

Entities:  

Mesh:

Year:  1993        PMID: 8508286     DOI: 10.1093/rheumatology/32.6.490

Source DB:  PubMed          Journal:  Br J Rheumatol        ISSN: 0263-7103


  5 in total

1.  Age-related differences during a gaze reorientation task while standing or walking on a treadmill.

Authors:  Michael Cinelli; Aftab Patla; Bethany Stuart
Journal:  Exp Brain Res       Date:  2008-01-15       Impact factor: 1.972

2.  Individual characteristics of reliable lumbar coupling motions.

Authors:  Woo-Suck Yun; Hyunho Kim; Ji Hoon Ahn; Young-Bae Park; Young-Jae Park
Journal:  Eur Spine J       Date:  2015-06-24       Impact factor: 3.134

3.  Long-term outcome after implantation of prosthetic disc nucleus device (PDN) in lumbar disc disease.

Authors:  P Selviaridis; N Foroglou; A Tsitlakidis; A Hatzisotiriou; I Magras; I Patsalas
Journal:  Hippokratia       Date:  2010-07       Impact factor: 0.471

Review 4.  Comparing lumbo-pelvic kinematics in people with and without back pain: a systematic review and meta-analysis.

Authors:  Robert A Laird; Jayce Gilbert; Peter Kent; Jennifer L Keating
Journal:  BMC Musculoskelet Disord       Date:  2014-07-10       Impact factor: 2.362

5.  Intelligent Evaluation of Global Spinal Alignment by a Decentralized Convolutional Neural Network.

Authors:  Thong Phi Nguyen; Ji Won Jung; Yong Jin Yoo; Sung Hoon Choi; Jonghun Yoon
Journal:  J Digit Imaging       Date:  2022-01-21       Impact factor: 4.056

  5 in total

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