Trunk postural balance and low back pain: Reliability and relationship with clinical changes following a lumbar stabilization exercise program

Shahvarpour, Ali; Gagnon, Dany H.; Preuss, Richard; Henry, Sharon M.; Larivière, Christian

doi:10.1016/j.gaitpost.2018.02.006

Cited by 24 publications

(41 citation statements)

References 33 publications

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“…Medido com o Roland-Morris Disability Questionnaire, com pontuações variando de 0 ("sem deficiência") a 24 ("alta deficiência"). (Shahvarpour et al, 2018).…”

Section: Resultsunclassified

Uso de Wearable em pacientes com lombalgia

Bonfim

Cabral

Lima

et al. 2020

RSD

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A presente pesquisa tem por objetivo avaliar o efeito do tratamento para lombalgia utilizando sensores de movimento, por meio da análise do nível de dor, verificação de Amplitude De Movimento (ADM) da coluna, e grau de incapacidade física no pré e pós tratamento. Os pacientes foram submetidos a avaliação pré e pós tratamento por meio da Escala Verbal Numérica para mensurar nível de dor, estabilometria para avaliação da estabilidade, questionário de Roland-Morris de Incapacidade para nível de funcionalidade e goniometria para mensuração de Amplitude de Movimento. No tratamento foram realizadas uma sessão por dia, durante 10 dias consecutivos, com duração de 30 minutos cada sessão. Os resultados demonstram que houve diminuição do nível de dor nos pacientes (P=0,0008). Além disso, nível de funcionalidade também diminuiu significativamente (P = 0,001) e discreto aumento dos valores goniométricos. Por meio dos resultados obtidos, conclui-se que o uso de Wearable em pacientes com lombalgia se mostra eficaz no tratamento da enfermidade, possibilitando alivio da dor, aumento da amplitude de movimento e melhora da capacidade funcional dos pacientes.

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“…Medido com o Roland-Morris Disability Questionnaire, com pontuações variando de 0 ("sem deficiência") a 24 ("alta deficiência"). (Shahvarpour et al, 2018).…”

Section: Resultsunclassified

Uso de Wearable em pacientes com lombalgia

Bonfim

Cabral

Lima

et al. 2020

RSD

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“…Furthermore, evidence suggests that ankle, knee and hip strategies dominate the whole-body kinematics of balancing tasks (Gage et al, 2004; Kuznetsov and Riley, 2012). In addition, coherence analyses of respective joint angles (Kilby et al, 2015; Masumoto and Inui, 2015) and muscle-EMGs (Alfuth and Gomoll, 2018; Pollock et al, 2019) suggest that these strategies are coordinated (Huisinga et al, 2017; Shahvarpour et al, 2018). Nevertheless, further evidence suggests that when modeling the dynamics according to these segment interactions (Oliveira et al, 2017; McNair et al, 2018), the models seem unable to explain the full extent of the movement dynamics (Hume et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

PManalyzer: A Software Facilitating the Study of Sensorimotor Control of Whole-Body Movements

Haid

Zago

Promsri

et al. 2019

Front. Neuroinform.

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Motion analysis is used to study the functionality or dysfunctionality of the neuromuscular system, as human movements are the direct outcome of neuromuscular control. However, motion analysis often relies on measures that quantify simplified aspects of a motion, such as specific joint angles, despite the well-known complexity of segment interactions. In contrast, analyzing whole-body movement patterns may offer a new understanding of movement coordination and movement performance. Clinical research and sports technique evaluations suggest that principal component analysis (PCA) provides novel and valuable insights into control aspects of the neuromuscular system and how they relate to coordinative patterns. However, the implementation of PCA computations are time consuming, and require mathematical knowledge and programming skills, drastically limiting its application in current research. Therefore, the aim of this study is to present the Matlab software tool “PManalyzer” to facilitate and encourage the application of state-of-the-art PCA concepts in human movement science. The generalized PCA concepts implemented in the PManalyzer allow users to apply a variety of marker set independent PCA-variables on any kinematic data and to visualize the results with customizable plots. In addition, the extracted movement patterns can be explored with video options that may help testing hypotheses related to the interplay of segments. Furthermore, the software can be easily modified and adapted to any specific application.

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“…For example, improvement in trunk postural control among patients with low back pain has been found to be a significant predictor for LBP related pain and disability outcomes. 67 Moreover, Timed Up and Go test scores have been found to be associated with pain, disability and lumbar mobility measures. 68,69…”

Section: Discussionmentioning

confidence: 99%

Treatment monitoring as a component of psychologically informed physical therapy: A case series of patients at high risk for persistent low back pain related disability

Beneciuk

Ballengee

George

2019

Musculoskeletal Science and Practice

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Background: Psychologically Informed Physical Therapy (PIPT) aims to identify individuals at high risk for transitioning to chronicity and merge impairment-focused physical therapy with cognitive behavioral therapy principles. Treatment monitoring is an important part of PIPT and involves identifying changes in clinical measures to inform clinical decision making. Objectives: The purpose of this case series is to describe treatment monitoring using psychological and physical impairment measures for patients identified as 'high-risk' for persistent low back pain (LBP) related disability. Design: Secondary analysis of patients (n = 23) identified as 'high-risk' using the STarT Back Tool and enrolled in two-phased, sequential study that evaluated feasibility and generated preliminary PIPT treatment effects for 4-week clinical outcomes. Method: Physical therapists (n = 5) used psychological [Fear-Avoidance Beliefs Questionnaire (FABQPA, FABQ-W), Tampa Scale for Kinesiophobia (TSK-11), Pain Catastrophizing Scale (PCS) and Fear of Daily Activities Questionnaire (FDAQ)] and the Physical Impairment Index (PII) measures for PIPT treatment monitoring. Clinical outcome measures [Numerical Pain Rating

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Trunk postural balance and low back pain: Reliability and relationship with clinical changes following a lumbar stabilization exercise program

Cited by 24 publications

References 33 publications

Uso de Wearable em pacientes com lombalgia

Uso de Wearable em pacientes com lombalgia

PManalyzer: A Software Facilitating the Study of Sensorimotor Control of Whole-Body Movements

Treatment monitoring as a component of psychologically informed physical therapy: A case series of patients at high risk for persistent low back pain related disability

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