What is the influence of severity levels of knee osteoarthritis on gait initiation?

Soares, Fabiana da Silva; Moreira, Vanessa Martins Pereira Silva; Alves, Luiza Vinhal; Dionisio, Valdeci Carlos

doi:10.1016/j.clinbiomech.2020.02.007

Cited by 8 publications

(7 citation statements)

References 48 publications

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“…However, older participants only experienced this torque-dependent multifractal association with increased task error in the EPP time window, beyond the 200-ms limit of the LLR time window. We suspect that this delay in torque-dependent multifractal response for older, relative to younger, adults could reflect the known delay in feedforward muscle activations in older adults (da Silva Soares et al, 2020; Inglin & Woollacott, 1988; Kanekar & Aruin, 2014; Lee et al, 2015; Man’Kovskii et al, 1980; Olafsdottir et al, 2007), particularly with attenuated sensory feedback (Scotto et al, 2020) that co-occurs with aging (Wolpe et al, 2016). This delay in feedforward activations can be on the order of 100 ms, which is half of the time window that the original data collection deemed pre-voluntary.…”

Section: Discussionmentioning

confidence: 99%

Multifractal Nonlinearity Moderates Feedforward and Feedback Responses to Suprapostural Perturbations

et al. 2023

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An adaptive response to unexpected perturbations requires near-term and long-term adjustments over time. We used multifractal analysis to test how nonlinear interactions across timescales might support an adaptive response following an unpredictable perturbation. We reanalyzed torque data from 44 young and 24 older adults who performed a single-leg squat task challenged by an unexpected mechanical perturbation and a secondary visual-cognitive task. We report three findings: (a) multifractal nonlinearity interacted with pre-perturbation torque production and task error to presage greater pre-voluntary feedforward increases and greater voluntary reductions, respectively, in post-perturbation task error; (b) multifractal nonlinearity presaged relatively smaller task error than standard deviations of both pre-perturbation torques and pre-perturbation task error; and (c) increased task demand (e.g., age-related changes in dexterity and dual-task settings) led to multifractal nonlinearity presaging reduced task error. All these results were consistent with our expectations, except that a pre-perturbation knee torque-dependent increase in post-perturbation task error appeared later for older than for younger participants. This correlational multifractal modeling offered theoretical clarity on the possible roles of nonlinear interactions across timescales, moderating both feedforward and feedback processes, and presaging greater stability when the standard deviation is relatively large and task demands are strong. Thus, multifractal nonlinearity usefully describes movement variability even when paired with classical descriptors like the standard deviation. We discuss potential insights from these findings for understanding suprapostural dexterity and developing rehabilitative interventions.

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Section: Discussionmentioning

confidence: 99%

Multifractal Nonlinearity Moderates Feedforward and Feedback Responses to Suprapostural Perturbations

et al. 2023

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“…A small and slow COP movement in the transitional phase results in insufficient COG movements toward the new BOS on the stance-leg side, making it impossible to remain stable during the single-leg standing task. Therefore, larger and faster COP movements in the APA and transitional phases indicate better dynamic postural control [ 15 ]. Rogers and Pai reported that the gluteus medius muscle function is important for the transition from double-leg to single-leg standing [ 25 ].…”

Section: Discussionmentioning

confidence: 99%

“…2): (1) the anticipatory postural adjustment (APA) phase and (2) the transitional phase. Previous studies have reported that patients with knee OA exhibit impairments in dynamic postural control in the APA and transitional phases [14][15][16]. In addition, dynamic postural control in the APA and transitional phases is Fig.…”

Section: Study Populationmentioning

confidence: 93%

“…Dynamic postural control, which is the ability to control the COG in response to changes in the BOS, is usually evaluated as the COP displacement and velocity during the transition from double-leg to single-leg standing and gait initiation [13][14][15][16]. Recent studies have reported that patients with knee OA exhibit smaller and slower COP movements during gait initiation when compared to healthy elderly individuals [14][15][16]. These findings indicate that impairments in dynamic postural control are present in patients with knee OA.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic postural control correlates with activities of daily living and quality of life in patients with knee osteoarthritis

Sabashi

Ishida

Matsumoto

et al. 2021

BMC Musculoskelet Disord

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Background Knee osteoarthritis (OA) negatively affects dynamic postural control, which is a basic function that individuals use to perform activities of daily living (ADL). The purpose of this study was to investigate the associations of center of pressure (COP) control during the transition from double-leg to single-leg standing with subjective assessments of ADL and quality of life (QOL) in patients with knee OA. Methods Thirty-six patients (29 females) with moderate-to-severe knee OA participated. Dynamic postural control was evaluated during the transition from double-leg to single-leg standing. Each patient stood on a force plate, lifted the less affected limb as fast as possible, and maintained single-leg standing with the more affected limb. The COP movements corresponding to anticipatory postural adjustment (APA) and transitional phases were assessed. The maximum displacement and peak velocity of the COP movements in the medial–lateral direction were calculated. The Knee Injury and Osteoarthritis Outcome Score (KOOS) was used for the subjective assessment of ADL and QOL. Pearson’s product correlation analysis was performed to investigate the associations of COP movements in the APA and transitional phases with KOOS-ADL and KOOS-QOL. Results In the APA phase, the maximum COP displacement was significantly correlated with KOOS-ADL (r = -0.353, P = 0.035) and KOOS-QOL (r = -0.379, P = 0.023). In the transitional phase, the maximum COP displacement and peak COP velocity were significantly correlated with KOOS-ADL (maximum displacement: r = 0.352, P = 0.035; peak velocity: r = 0.438, P = 0.008) and with KOOS-QOL (maximum displacement: r = 0.357, P = 0.032; peak velocity: r = 0.343, P = 0.040). Conclusions The present study showed that smaller COP movements in the APA phase and smaller and slower COP movements in the transitional phase correlated with poorer ADL and QOL conditions in patients with knee OA. These findings suggest that poor dynamic postural control is associated with poor ADL and QOL conditions in patients with moderate-to-severe medial knee OA. Conservative treatment for patients with knee OA may need to focus on dynamic postural control during the transition from double-leg to single-leg standing.

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“…It is divided into two phases: anticipatory postural adjustment [APA] and the execution of the first step [10,11]. This task is a requirement during functional mobility (e.g., walking, functional reach, step-to-gait, stair climbing or even stepping strategy to prevent from falling) [10,11,13]. Gait initiation task is widely implemented in rehabilitation and functional recovery in neurological and musculoskeletal diseases [10,12,13], executed into different ways (forward [FW], backward [BW], and lateral) both in static and dynamic environments.…”

Section: Introductionmentioning

confidence: 99%

Muscle Activation and Distribution during Four Test/Functional Tasks: A Comparison between Dry-Land and Aquatic Environments for Healthy Older and Young Adults

Cuesta‐Vargas

Martín-Martín

Pérez‐Cruzado

et al. 2020

IJERPH

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Background: The use of rehabilitation protocols carried out in water has been progressively increasing due to the favorable physical properties of the water. Electromyography allows one to register muscle activity even under water. Aim: To compare muscle activity between two groups (healthy young adults (HYA) and healthy older adults (HOA)) in two different environments (dry land and aquatic) using surface electromyography during the execution of four different test/functional movements. Methods: Analytical cross-sectional study. HYA and HOA carried out four functional tasks (Step Up and Down, Sit TO Stand test, Gait Initiation and Turns During Gait) in two different environments (dry land and aquatic). Absolute and relative muscle activation was compared between each group and between each environment. In addition, the stability of the measured was calculated through a test-retest (ICC 2:1). Results: Within the same environment there were significant differences between young and older adults in three of the four functional tasks. In contrast, in the gait initiation, hardly any significant differences were found between the two groups analysed, except for the soleus and the anterior tibial. Measurement stability ranged from good to excellent. Conclusions: Level of the musculature involvement presents an entirely different distribution when the test/functional task is performed on dry land or in water. There are differences both in the relative activation of the musculature and in the distribution of the partition of the muscles comparing older and young adults within the same environment.

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What is the influence of severity levels of knee osteoarthritis on gait initiation?

Cited by 8 publications

References 48 publications

Multifractal Nonlinearity Moderates Feedforward and Feedback Responses to Suprapostural Perturbations

Multifractal Nonlinearity Moderates Feedforward and Feedback Responses to Suprapostural Perturbations

Dynamic postural control correlates with activities of daily living and quality of life in patients with knee osteoarthritis

Muscle Activation and Distribution during Four Test/Functional Tasks: A Comparison between Dry-Land and Aquatic Environments for Healthy Older and Young Adults

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