<?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>2026-04-23T21:22:07Z</responseDate><request verb="GetRecord" identifier="oai:uvadoc.uva.es:10324/60163" metadataPrefix="mods">https://uvadoc.uva.es/oai/request</request><GetRecord><record><header><identifier>oai:uvadoc.uva.es:10324/60163</identifier><datestamp>2026-03-11T13:09:27Z</datestamp><setSpec>com_10324_1142</setSpec><setSpec>com_10324_931</setSpec><setSpec>com_10324_894</setSpec><setSpec>col_10324_1258</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>Rivadeneyra Posadas, Jéssica</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 Alvira, Daniel</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Calvo, Sara</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Collazo, Carla</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Rodríguez Fernández, Alejandro</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Fahed, Vitoria S.</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, Esther</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2023-07-06T08:17:57Z</mods:dateAvailable>
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<mods:extension>
<mods:dateAccessioned encoding="iso8601">2023-07-06T08:17:57Z</mods:dateAccessioned>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2022</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="citation">International Journal of Environmental Research and Public Health, 2022, Vol. 19, Nº. 22, 14834</mods:identifier>
<mods:identifier type="issn">1660-4601</mods:identifier>
<mods:identifier type="uri">https://uvadoc.uva.es/handle/10324/60163</mods:identifier>
<mods:identifier type="doi">10.3390/ijerph192214834</mods:identifier>
<mods:identifier type="publicationfirstpage">14834</mods:identifier>
<mods:identifier type="publicationissue">22</mods:identifier>
<mods:identifier type="publicationtitle">International Journal of Environmental Research and Public Health</mods:identifier>
<mods:identifier type="publicationvolume">19</mods:identifier>
<mods:identifier type="essn">1660-4601</mods:identifier>
<mods:abstract>Accelerometers can estimate the intensity, frequency, and duration of physical activity in healthy adults. Although thresholds to distinguish varying levels of activity intensity using the Actigraph wGT3X-B have been established for the general population, their accuracy for Huntington’s disease (HD) is unknown. We aimed to define and cross-validate accelerometer cut-points for different walking speeds in adults with mild to moderate HD. A cross-sectional, multicentre, case-control, observational study was conducted with a convenience sample of 13 symptomatic ambulatory HD participants. The accelerometer was placed around the right hip, and a heart monitor was fitted around the chest to monitor heart rate variability. Participants walked on a treadmill at three speeds with light, moderate and vigorous intensities. Correlation and receiver operation curve analyses were performed between the accelerometer magnitude vector with relative oxygen and heart rate. Optimal cut-points for walking speeds of 3.2 km/h were ≤2852; 5.2 km/h: >2852 to ≤4117, and in increments until their maximum velocity: >4117. Our results support the application of the disease-specific cut-points for quantifying physical activity in patients with mild to moderate HD and promoting healthy lifestyle interventions.</mods:abstract>
<mods:language>
<mods:languageTerm>eng</mods:languageTerm>
</mods:language>
<mods:accessCondition type="useAndReproduction">info:eu-repo/semantics/openAccess</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">http://creativecommons.org/licenses/by/4.0/</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">© 2022 The Authors</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">Atribución 4.0 Internacional</mods:accessCondition>
<mods:subject>
<mods:topic>Energy metabolism</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Metabolismo energético</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Rehabilitation</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Rehabilitación</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Neurosciences</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Huntington's disease</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Corea (Enfermedad)</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Calorimetry</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Calorimetría</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Exercise - Health aspects</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Ejercicio - Aspectos de salud</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Running</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Marcha (Deportes)</mods:topic>
</mods:subject>
<mods:titleInfo>
<mods:title>Accelerometer cut-points for physical activity assessment in adults with mild to moderate huntington’s disease: A cross-sectional multicentre study</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/article</mods:genre>
</mods:mods></metadata></record></GetRecord></OAI-PMH>