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Energy expenditure and cost of walking and stair climbing in individuals with chronic stroke.

ABSTRACT: Subjects with stroke show higher energy cost (EC) during walking, when compared to healthy individuals, but the mechanisms are not fully understood. Additionally, the behavior of physiological variables during other activities has not been investigated.To investigate energy expenditure (EE) and EC during the six-minute walking test (6MWT) and stair climb test (SCT) in chronic stroke subjects compared to healthy controls.Cross-sectional study in which stroke subjects (n=18) (community-walking speed ≥0.8m/s) or limited-community <0.8m/s walkers and matched healthy controls (n=18) had their EE and EC assessed during the 6MWT and SCT with a portable monitoring system.Significant differences in EE were observed for both the 6MWT (MD 7.29; 95%CI 4.08-10.50) and SCT (MD 8.53; 95%CI 5.07-12.00) between the stroke and control groups, but not between the stroke subgroups. Significant between-group differences in EC were found for both the 6MWT and SCT. For the 6MWT, differences were significant between the limited-community and the community walkers (MD 0.19; 95%CI 0.05-0.33) and controls (MD 0.17; 95%CI 0.04-0.29). No significant differences were found between the community walkers and controls (MD 0.02; 95%CI -0.09 to 0.13). For the SCT, the limited-community walkers showed highest EC, followed by the community walkers, and controls.Both stroke subgroups demonstrated lower EE compared to healthy controls. During the 6MWT, the limited-community walkers demonstrated higher EC compared to the community walkers and controls. During the SCT, the limited-community walkers demonstrated higher EC, followed by the community walkers, and controls.

SUBMITTER: Polese JC

PROVIDER: S-EPMC5537476 | biostudies-other | 2017 May - Jun

REPOSITORIES: biostudies-other

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Oxygen Cost During Walking in Individuals With Stroke: Hemiparesis Versus Cerebellar Ataxia.

Project description:Background. Understanding the factors that limit mobility in stroke patients is fundamental for proposing appropriate rehabilitation strategies. A high oxygen cost during walking (Cw) has a strong impact on the community ambulation of hemiparetic patients. The Cw in poststroke cerebellar ataxia is poorly evaluated, unlike hemiparetic gait. Objective. To compare the oxygen cost/self-selected walking speed (S) relationship in stroke individuals with cerebellar ataxia or hemiparetic gait. Methods. Thirty-three subjects were included (14 cerebellar stroke, 19 hemispheric stroke), with stroke confirmed by brain imaging and able to walk without human assistance. We measured Cw using the Metamax3B. The relationship between Cw and self-selected walking speed was modelled by logistic regression and then compared between the cerebellar and hemispheric groups. Results. No significant difference was found between the 2 groups for all characteristics of the population, except motor impairments, spasticity, and ataxia (P < .01). We identified 2 separate Cw/S relationships with different logistic regression equations for the 2 groups. Faster than 0.4 m?s-1, Cw was 30.6% to 39.9% higher in patients with cerebellar stroke in comparison with hemispheric stroke individuals. The Cw was correlated with ataxia (r = 0.88; P < .001) in the cerebellar group, whereas there was a correlation with motor impairments (r = -0.61; P < .01), spasticity (r = 0.59; P < .01), and ataxia (r = 0.81; P < .01) in hemispheric stroke individuals. Conclusion. The Cw in poststroke cerebellar ataxia is significantly higher compared with hemiparetic patients at an equivalent walking speed. The impact on community walking needs to be explored in stroke survivors with cerebellar stroke.

| S-EPMC7168805 | biostudies-literature

Youth Energy Expenditure During Common Free-Living Activities and Treadmill Walking.

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| S-EPMC5108056 | biostudies-literature

Forced and Voluntary Aerobic Cycling Interventions Improve Walking Capacity in Individuals With Chronic Stroke.

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| S-EPMC7796862 | biostudies-literature

Walking through Apertures in Individuals with Stroke.

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| S-EPMC5245896 | biostudies-literature

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GDF15 and energy expenditure

Project description:This SuperSeries is composed of the SubSeries listed below.

2023-04-20 | GSE230208 | GEO

Investigating the relationship between energy expenditure, walking speed and angle of turning in humans.

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Multi-site identification and generalization of clusters of walking behaviors in individuals with chronic stroke and neurotypical controls.

Project description:BackgroundWalking patterns in stroke survivors are highly heterogeneous, which poses a challenge in systematizing treatment prescriptions for walking rehabilitation interventions.ObjectiveWe used bilateral spatiotemporal and force data during walking to create a multi-site research sample to: 1) identify clusters of walking behaviors in people post-stroke and neurotypical controls, and 2) determine the generalizability of these walking clusters across different research sites. We hypothesized that participants post-stroke will have different walking impairments resulting in different clusters of walking behaviors, which are also different from control participants.MethodsWe gathered data from 81 post-stroke participants across four research sites and collected data from 31 control participants. Using sparse K-means clustering, we identified walking clusters based on 17 spatiotemporal and force variables. We analyzed the biomechanical features within each cluster to characterize cluster-specific walking behaviors. We also assessed the generalizability of the clusters using a leave-one-out approach.ResultsWe identified four stroke clusters: a fast and asymmetric cluster, a moderate speed and asymmetric cluster, a slow cluster with frontal plane force asymmetries, and a slow and symmetric cluster. We also identified a moderate speed and symmetric gait cluster composed of controls and participants post-stroke. The moderate speed and asymmetric stroke cluster did not generalize across sites.ConclusionsAlthough post-stroke walking patterns are heterogenous, these patterns can be systematically classified into distinct clusters based on spatiotemporal and force data. Future interventions could target the key features that characterize each cluster to increase the efficacy of interventions to improve mobility in people post-stroke.

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| S-EPMC4481882 | biostudies-literature

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| S-EPMC3142720 | biostudies-literature

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