Literature DB >> 28952872

Kinematics of the Spine During Sit-to-Stand Movement Using Motion Analysis Systems: A Systematic Review of Literature.

Mohammad Reza Pourahmadi, Ismail Ebrahimi Takamjani, Shapour Jaberzadeh, Javad Sarrafzadeh, Mohammad Ali Sanjari, Rasool Bagheri, Morteza Taghipour.   

Abstract

CONTEXT: Clinical evaluation of the spine is commonplace in musculoskeletal therapies, such as physiotherapy, physical medicine/rehabilitation, osteopathic, and chiropractic clinics. Sit-to-stand (STS) is one of the most mechanically demanding daily activities and crucial to independence. Difficulty or inability to perform STS is common in individuals with a variety of motor disabilities, such as low back pain (LBP).
OBJECTIVE: The purpose of this systematic review was to evaluate available evidence in literature to determine 2-dimensional and 3-dimensional kinematics of the spine during STS in patients with LBP and healthy young adult participants using motion analysis systems (electromagnetic and marker based).
METHODS: Electronic databases (PubMed/MEDLINE [National Library of Medicine], Scopus, ScienceDirect, and Google Scholar) were searched between January 2002 and February 2017. Additionally, the reference lists of the articles that met the inclusion criteria were also searched. Prospective studies published in peer-reviewed journals, with full text available in English, investigating the kinematics of the spine during STS in healthy subjects (mean age between 18 and 50 y) or in patients with LBP using motion analysis systems, were included. Sixteen studies fulfilled the eligibility criteria. All information relating to methodology and kinematic modeling of the spine segments along with the outcome measures was extracted from the studies identified for synthesis.
RESULTS: The results indicated that the kinematics of the spine are greatly changed in patients with LBP. In order to develop a better understanding of spine kinematics, studies recommended that the trunk should be analyzed as a multisegment. It has been shown that there is no difference between the kinematics of patients with LBP and healthy population when the spine is analyzed as a single segment. Furthermore, between-gender differences are present during STS movement.
CONCLUSION: This review provided a valuable summary of the research to date examining the kinematics of the spine during STS.

Entities:  

Keywords:  biomechanical phenomena; functional activity; low back pain; vertebral column

Year:  2019        PMID: 28952872     DOI: 10.1123/jsr.2017-0147

Source DB:  PubMed          Journal:  J Sport Rehabil        ISSN: 1056-6716            Impact factor:   1.931


  8 in total

Review 1.  Changes in the macroscopic morphology of hip muscles in low back pain.

Authors:  Mohammadreza Pourahmadi; Mohammad Asadi; Jan Dommerholt; Ali Yeganeh
Journal:  J Anat       Date:  2019-09-01       Impact factor: 2.610

2.  Kinematic analysis of the human body during sit-to-stand in healthy young adults.

Authors:  Jin Li; Qiang Xue; Shuo Yang; Xiaolong Han; Shouwei Zhang; Min Li; Jingchen Guo
Journal:  Medicine (Baltimore)       Date:  2021-06-04       Impact factor: 1.817

3.  ISSLS PRIZE IN BIOENGINEERING SCIENCE 2019: biomechanical changes in dynamic sagittal balance and lower limb compensatory strategies following realignment surgery in adult spinal deformity patients.

Authors:  Jeannie F Bailey; Robert P Matthew; Sarah Seko; Patrick Curran; Leslie Chu; Sigurd H Berven; Vedat Deviren; Shane Burch; Jeffrey C Lotz
Journal:  Eur Spine J       Date:  2019-03-02       Impact factor: 3.134

4.  Effect of different seat heights on lumbar spine flexion during stand-to-sit motion.

Authors:  Wakana Shirouchi; Shinichiro Ishii; Sumiko Yamamoto
Journal:  J Phys Ther Sci       Date:  2022-01-12

5.  Symptomatic individuals with Lumbar Disc Degeneration use different anticipatory and compensatory kinematic strategies to asymptomatic controls in response to postural perturbation.

Authors:  Janet A Deane; Adrian K P Lim; Andrew T M Phillips; Alison H McGregor
Journal:  Gait Posture       Date:  2021-04-02       Impact factor: 2.746

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.  Reliability and minimal detectable change of the 'Imperial Spine' marker set for the evaluation of spinal and lower limb kinematics in adults.

Authors:  J A Deane; E Papi; A T M Phillips; A H McGregor
Journal:  BMC Res Notes       Date:  2020-10-22

8.  Marker Placement Reliability and Objectivity for Biomechanical Cohort Study: Healthy Aging in Industrial Environment (HAIE-Program 4).

Authors:  Jan Malus; Jiri Skypala; Julia Freedman Silvernail; Jaroslav Uchytil; Joseph Hamill; Tomas Barot; Daniel Jandacka
Journal:  Sensors (Basel)       Date:  2021-03-05       Impact factor: 3.576

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.