Walking and running with non-specific chronic low back pain: What about the lumbar lordosis angle?

Simonet, Edwige; Winteler, Balz; Frangi, Jana; Suter, Magdalena; Meier, Michael L.; Eichelberger, Patric; Baur, Heiner; Schmid, Stefan

doi:10.1016/j.jbiomech.2020.109883

Cited by 12 publications

(35 citation statements)

References 35 publications

(35 reference statements)

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“…A 27-camera Vicon motion capture system and several force plates are used to record three-dimensional marker trajectories and ground reaction forces (GRFs), respectively ( Figure 2 ). The suitability of this method for quantifying spinal motion during functional activities, which was previously used to investigate three-dimensional spinal kinematics in healthy populations as well as various patient populations including non-specific chronic LBP ( 20 ) was supported by comprehensive investigations of validity as well as within- and between-session reliability ( 60 , 61 ).…”

Section: Building Bridges: a Cross-disciplinary Approachmentioning

confidence: 98%

“…Numerous studies have investigated biomechanical alterations in LBP, mainly by observing spine/trunk kinematics and muscle activity during functional activities as well as during steadily held postures with and without experimentally induced perturbations. Investigations of functional activities in LBP patients compared to healthy controls indicate trends toward a reduced lordotic posture and range of motion (RoM) in the lumbar spine during activities such as standing, walking, running, chair rising or picking up an object ( 18 – 20 ). In terms of muscle activity, studies show less clear trends, but instead a large variety of muscle activity patterns, ranging from higher lumbar extensor muscle activity to no differences or even lower activity in LBP patients compared to healthy controls ( 21 ).…”

Section: Biomechanical Mechanismsmentioning

confidence: 99%

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Identifying Motor Control Strategies and Their Role in Low Back Pain: A Cross-Disciplinary Approach Bridging Neurosciences With Movement Biomechanics

et al. 2021

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Persistent low back pain (LBP) is a major health issue, and its treatment remains challenging due to a lack of pathophysiological understanding. A better understanding of LBP pathophysiology has been recognized as a research priority, however research on contributing mechanisms to LBP is often limited by siloed research within different disciplines. Novel cross-disciplinary approaches are necessary to fill important knowledge gaps in LBP research. This becomes particularly apparent when considering new theories about a potential role of changes in movement behavior (motor control) in the development and persistence of LBP. First evidence points toward the existence of different motor control strategy phenotypes, which are suggested to have pain-provoking effects in some individuals driven by interactions between neuroplastic, psychological and biomechanical factors. Yet, these phenotypes and their role in LBP need further validation, which can be systematically tested using an appropriate cross-disciplinary approach. Therefore, we propose a novel approach, connecting methods from neuroscience and biomechanics research including state-of-the-art optical motion capture, musculoskeletal modeling, functional magnetic resonance imaging and assessments of psychological factors. Ultimately, this cross-disciplinary approach might lead to the identification of different motor control strategy phenotypes with the potential to translate into clinical research for better treatment options.

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Section: Building Bridges: a Cross-disciplinary Approachmentioning

confidence: 98%

Section: Biomechanical Mechanismsmentioning

confidence: 99%

Identifying Motor Control Strategies and Their Role in Low Back Pain: A Cross-Disciplinary Approach Bridging Neurosciences With Movement Biomechanics

et al. 2021

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“…Of those, 12 studies (12,13,45,46,14,(38)(39)(40)(41)(42)(43)(44) were found to be of high quality. Sixty studies (24,27,(54)(55)(56)(57)(58)(59)(60)(61)(62)(63)31,(64)(65)(66)(67)(68)(69)(70)(71)(72)(73)47,(74)(75)(76)(77)(78)(79)(80)(81)(82)(83)48,(84)(85)(86)(87)(88)…”

Section: Quality Assessmentmentioning

confidence: 99%

“…Some studies further divided the lumbar spine into upper and lower lumbar, to have a total of 4 segments (12,13,86,94,97,14,(39)(40)(41)(42)52,66,67). Only 5 papers de ned the cervical spine and analysed it in their models (44,50,79,82,95). Three studies considered each lumbar vertebra as a single segment (47,61,74).…”

Section: Segment De Nitionmentioning

confidence: 99%

“…The kinematic data collected from markers was low pass ltered using Butterworth Filters with a cut-off frequency ranging between 2Hz and 10Hz depending on the motion capture setup. Most studies de ned the pelvis as the local coordinate system for their data analysis ( Some studies reported subtracting the static standing trial of participants from the dynamic trials to normalize the angle of motion (13,14,39,67,82). None of the studies included in this review commented on the ease of use of their data processing procedure for use in clinical practice.…”

Section: Data Processingmentioning

confidence: 99%

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Stereophotogrammetric Approaches to Multi-Segmental Kinematics of the Thoracolumbar Spine: A Systematic Review

Fayad

Éltes

Lazáry

et al. 2022

Preprint

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Background: Spine disorders are becoming more prevalent in today’s ageing society. Motion abnormalities have been linked to the prevalence and recurrence of these disorders. Various protocols exist to measure thoracolumbar spine motion, but a standard multi-segmental approach is still missing. This study aims to systematically evaluate the literature on stereophotogrammetric motion analysis approaches to quantify thoracolumbar spine kinematics in terms of measurement reliability, suitability of protocols for clinical application and clinical significance of the resulting functional assessment. Methods: Electronic databases (PubMed, Scopus and ScienceDirect) were searched until February 2022. Studies published in English, investigating the intersegmental kinematics of the thoracolumbar spine using stereophotogrammetric motion analysis were identified. All information relating to measurement reliability; measurement suitability and clinical significance was extracted from the studies identified. Results: Seventy-four studies met the inclusion criteria. 33% of the studies reported on the repeatability of their measurement. In terms of suitability, only 35% of protocols were deemed suitable for clinical application. The spinous processes of C7, T3, T6, T12, L1, L3 and L5 were the most widely used landmarks. The spine segment definitions were, however, found to be inconsistent among studies. Activities of daily living were the main tasks performed. Comparable results between protocols are however still missing. Conclusion: The literature to date offers various stereophotogrammetric protocols to quantify the multi-segmental motion of the thoracolumbar spine, without a standard guideline being followed. From a clinical point of view, the approaches are still limited. Further research is needed to define a precise motion analysis protocol in terms of segment definition and clinical relevance.

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An exploration of knowledge‐organizing technologies to advance transdisciplinary back pain research

Lotz,

Ropella,

Anderson

et al. 2023

JOR Spine

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Chronic low back pain (LBP) is influenced by a broad spectrum of patient‐specific factors as codified in domains of the biopsychosocial model (BSM). Operationalizing the BSM into research and clinical care is challenging because most investigators work in silos that concentrate on only one or two BSM domains. Furthermore, the expanding, multidisciplinary nature of BSM research creates practical limitations as to how individual investigators integrate current data into their processes of generating impactful hypotheses. The rapidly advancing field of artificial intelligence (AI) is providing new tools for organizing knowledge, but the practical aspects for how AI may advance LBP research and clinical are beginning to be explored. The goals of the work presented here are to: (1) explore the current capabilities of knowledge integration technologies (large language models (LLM), similarity graphs (SGs), and knowledge graphs (KGs)) to synthesize biomedical literature and depict multimodal relationships reflected in the BSM, and; (2) highlight limitations, implementation details, and future areas of research to improve performance. We demonstrate preliminary evidence that LLMs, like GPT‐3, may be useful in helping scientists analyze and distinguish cLBP publications across multiple BSM domains and determine the degree to which the literature supports or contradicts emergent hypotheses. We show that SG representations and KGs enable exploring LBP's literature in novel ways, possibly providing, trans‐disciplinary perspectives or insights that are currently difficult, if not infeasible to achieve. The SG approach is automated, simple, and inexpensive to execute, and thereby may be useful for early‐phase literature and narrative explorations beyond one's areas of expertise. Likewise, we show that KGs can be constructed using automated pipelines, queried to provide semantic information, and analyzed to explore trans‐domain linkages. The examples presented support the feasibility for LBP‐tailored AI protocols to organize knowledge and support developing and refining trans‐domain hypotheses.

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Walking and running with non-specific chronic low back pain: What about the lumbar lordosis angle?

Cited by 12 publications

References 35 publications

Identifying Motor Control Strategies and Their Role in Low Back Pain: A Cross-Disciplinary Approach Bridging Neurosciences With Movement Biomechanics

Identifying Motor Control Strategies and Their Role in Low Back Pain: A Cross-Disciplinary Approach Bridging Neurosciences With Movement Biomechanics

Stereophotogrammetric Approaches to Multi-Segmental Kinematics of the Thoracolumbar Spine: A Systematic Review

An exploration of knowledge‐organizing technologies to advance transdisciplinary back pain research

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