Wearable ankle activity monitor overestimates energy expenditure during ecological walking tasks in individuals with stroke and healthy adults.
Assessment of physical activity intensity is essential for guiding rehabilitation after stroke. Wearable activity monitors are used to estimate energy expenditure during walking; however, their validity in stroke populations under real-life walking conditions remains uncertain. This study aimed to e...
| Publicado en: | International Journal of Rehabilitation Research Vol. 49; no. 3; pp. 197 - 206 |
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| Autores principales: | , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
Sep2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=195788831&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195788831 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03425282 GGS jtl: International Journal of Rehabilitation Research issn: 03425282 maglogo: N pubinfo: dt: Sep2026 vid: 49 iid: 3 pid: 433 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 195788831 195788831 195788831 10.1097/MRR.0000000000000708 195788831 ppf: 197 ppct: 9 formats: tig: atl: Wearable ankle activity monitor overestimates energy expenditure during ecological walking tasks in individuals with stroke and healthy adults. aug: au: Guediri, Amine Compagnat, Maxence Baillargeat, Mathilde Firmin, Lucas Daviet, Jean-Christophe Mandigout, Stéphane affil: University of Limoges, HAVAE, UR 20217, Limoges sug: subj: Wearable Sensors Energy Metabolism Evaluation Ankle Physiology Walking Calorimetry Task Performance and Analysis Survivors Stroke Rehabilitation Funding Source France Human Male Female Adult Middle Age Aged Aged, 80 and Over Cross Sectional Studies Comparative Studies Secondary Analysis Academic Medical Centers Walking Speed T-Tests Mann-Whitney U Test Post Hoc Analysis Pearson's Correlation Coefficient Spearman's Rank Correlation Coefficient Linear Regression Data Analysis Software Descriptive Statistics Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female ab: Assessment of physical activity intensity is essential for guiding rehabilitation after stroke. Wearable activity monitors are used to estimate energy expenditure during walking; however, their validity in stroke populations under real-life walking conditions remains uncertain. This study aimed to evaluate the validity of an ActiGraph GT3X for estimating energy expenditure during walking tasks in stroke survivors using indirect calorimetry as the reference method. Thirty stroke survivors and 30 healthy controls performed indoor and outdoor walking tasks, including overground walking, stair ascent and descent, irregular terrain walking, and uphill and downhill walking. Energy expenditure expressed in metabolic equivalents was measured using the ActiGraph GT3X worn at the ankle and a portable gas exchange analyzer. Agreement between methods was assessed using Bland–Altman analyses and linear regression models. The ActiGraph GT3X overestimated energy expenditure across most walking tasks in both groups, with percentage differences ranging from 25.7 to 112% in stroke survivors and from 18.1 to 149.1% in healthy controls. In stroke survivors, walking speed was significantly associated with the difference in energy expenditure (ActiGraph GT3X – indirect calorimetry) across most tasks, with higher speeds leading to greater overestimation (e.g. β = 9.01, P < 0.001, R 2 = 0.41 for stair descent). In healthy controls, this association was observed only for selected tasks, including overground walking and stair descent. These findings indicate that the ActiGraph GT3X has limited validity for energy expenditure estimation during ecological walking tasks. Although the device may provide relative indicators of effort, its outputs should be interpreted with caution. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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