<?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>2026-08-17T19:41:22Z</responseDate><request verb="GetRecord" identifier="oai:riubu.ubu.es:10259/8857" metadataPrefix="mods">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><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
<mods:name>
<mods:namePart>Simón Vicente, Lucía</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Rodríguez Fernández, Alejandro</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Rivadeneyra Posadas, Jéssica Jannett</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Soto Célix, María .</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Raya-González, Javier</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Castillo, Daniel</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Calvo Simal, Sara</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Mariscal, Natividad</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>García Bustillo, Álvaro</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Aguado, Laura</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Cubo Delgado, Esther</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2024-03-20T11:19:13Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2024-03-20T11:19:13Z</mods:dateAccessioned>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2024-03</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="issn">0966-6362</mods:identifier>
<mods:identifier type="uri">http://hdl.handle.net/10259/8857</mods:identifier>
<mods:identifier type="doi">10.1016/j.gaitpost.2024.01.028</mods:identifier>
<mods:abstract>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.</mods:abstract>
<mods:language>
<mods:languageTerm>spa</mods:languageTerm>
</mods:language>
<mods:accessCondition type="useAndReproduction">http://creativecommons.org/licenses/by-nc/4.0/</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">info:eu-repo/semantics/openAccess</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">Atribución-NoComercial 4.0 Internacional</mods:accessCondition>
<mods:subject>
<mods:topic>Health promotion</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Physical activity</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Activity monitor</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Rehabilitation</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Exercise</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Validation</mods:topic>
</mods:subject>
<mods:titleInfo>
<mods:title>Validation of ActiGraph and Fitbit in the assessment of energy expenditure in Huntington's disease</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/article</mods:genre>
</mods:mods></metadata></record></GetRecord></OAI-PMH>