<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-08-17T19:42:05Z</responseDate><request verb="GetRecord" identifier="oai:riubu.ubu.es:10259/8857" metadataPrefix="marc">https://riubu.ubu.es/oai/request</request><GetRecord><record><header><identifier>oai:riubu.ubu.es:10259/8857</identifier><datestamp>2024-03-21T01:05:14Z</datestamp><setSpec>com_10259_7575</setSpec><setSpec>com_10259_3989</setSpec><setSpec>com_10259.4_106</setSpec><setSpec>com_10259_2604</setSpec><setSpec>com_10259_7328</setSpec><setSpec>com_10259_4219</setSpec><setSpec>com_10259_5086</setSpec><setSpec>col_10259_7576</setSpec><setSpec>col_10259_7329</setSpec><setSpec>col_10259_4220</setSpec></header><metadata><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dcterms="http://purl.org/dc/terms/" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
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<subfield code="a">Simón Vicente, Lucía</subfield>
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<subfield code="a">Rodríguez Fernández, Alejandro</subfield>
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<subfield code="a">Rivadeneyra Posadas, Jéssica Jannett</subfield>
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<subfield code="a">Soto Célix, María .</subfield>
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<subfield code="a">Raya-González, Javier</subfield>
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<subfield code="a">Castillo, Daniel</subfield>
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<subfield code="a">Calvo Simal, Sara</subfield>
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<subfield code="a">Mariscal, Natividad</subfield>
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<subfield code="a">García Bustillo, Álvaro</subfield>
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<subfield code="a">Aguado, Laura</subfield>
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<subfield code="a">Cubo Delgado, Esther</subfield>
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<subfield code="c">2024-03</subfield>
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<subfield code="a">Background: Consumer and research activity monitors have become popular because of their ability to quantify&#xd;
energy expenditure (EE) in free-living conditions. However, the accuracy of activity trackers in determining EE in&#xd;
people with Huntington’s Disease (HD) is unknown.&#xd;
Research question:&#xd;
Can the ActiGraph wGT3X-B or the Fitbit Charge 4 accurately measure energy expenditure during physical&#xd;
activity, in people with HD compared to Indirect Calorimetry (IC) (Medisoft Ergo Card)?&#xd;
Methods: We conducted a cross-sectional, observational study with fourteen participants with mild-moderate HD&#xd;
(mean age 55.7 ± 11.4 years). All participants wore an ActiGraph and Fitbit during an incremental test, running&#xd;
on a treadmill at 3.2 km/h and 5.2 km/h for three minutes at each speed. We analysed and compared the accuracy of EE estimates obtained by Fitbit and ActiGraph against the EE estimates obtained by a metabolic cart,&#xd;
using with Intra-class correlation (ICC), Bland-Altman analysis and correlation tests.&#xd;
Results: A significant correlation and a moderate reliability was found between ActiGraph and IC for the incremental test (r = 0.667)(ICC=0.633). There was a significant correlation between Fitbit and IC during the incremental test (r = 0.701), but the reliability was poor at all tested speeds in the treadmill walk. Fitbit&#xd;
significantly overestimated EE, and ActiGraph underestimated EE compared to IC, but ActiGraph estimates were&#xd;
more accurate than Fitbit in all tests.&#xd;
Significance: Compared to IC, Fitbit Charge 4 and ActiGraph wGT3X-BT have reduced accuracy in estimating EE&#xd;
at slower walking speeds. These findings highlight the need for population-specific algorithms and validation of&#xd;
activity trackers.</subfield>
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<subfield code="a">0966-6362</subfield>
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<subfield code="a">http://hdl.handle.net/10259/8857</subfield>
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<subfield code="a">10.1016/j.gaitpost.2024.01.028</subfield>
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<subfield code="a">Health promotion</subfield>
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<subfield code="a">Validation of ActiGraph and Fitbit in the assessment of energy expenditure in Huntington's disease</subfield>
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