<?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>2026-04-14T03:36:16Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:20.500.14342/3765" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:20.500.14342/3765</identifier><datestamp>2025-05-15T19:19:39Z</datestamp><setSpec>com_2072_482405</setSpec><setSpec>com_2072_183628</setSpec><setSpec>col_2072_482409</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Diagnostic concordance between the Visual Analogue Anxiety Scale (VAS-A) and the State-Trait Anxiety Inventory (STAI) in nursing students during the COVID-19 Pandemic</dc:title>
   <dc:creator>Lavedán, Ana</dc:creator>
   <dc:creator>Masot, Olga</dc:creator>
   <dc:creator>Canet Vélez, Olga</dc:creator>
   <dc:creator>Teresa, Botigué</dc:creator>
   <dc:creator>Cemeli Sanchez, Tania</dc:creator>
   <dc:creator>Roca Llobet, Judith</dc:creator>
   <dc:contributor>Universitat Ramon Llull. Facultat de Ciències de la Salut Blanquerna</dc:contributor>
   <dc:subject>Ansietat</dc:subject>
   <dc:subject>COVID-19 (Pandèmia), 2020-</dc:subject>
   <dc:subject>Estudiants d'infermeria</dc:subject>
   <dc:subject>Tests psicològics</dc:subject>
   <dc:subject>State-Trait Anxiety Inventory (STAI)</dc:subject>
   <dc:subject>Visual Analogue Anxiety Scale (VAS-A)</dc:subject>
   <dc:subject>616.89</dc:subject>
   <dc:description>Anxiety is one of the most common problems among nursing students. The State-Trait Anxiety Inventory (STAI) is used to detect anxiety in this population; however, its length hinders speedy detection. For this reason, a faster and more efficient instrument is needed for early detection. This study aimed to determine the relationship between the anxiety measurement scales State-Trait&#xd;
Anxiety Inventory (STAI) and the Visual Analogue Scale for Anxiety (VAS-A) by establishing a discrimination threshold through the contrast of true positive rates (VPR) and false positive rates (FPR). To this end, a cross-sectional quantitative observational and analytical study was carried out on 185 fourth-year nursing students. The data collected were anxiety (STAI and VAS-A) and&#xd;
socio-demographic variables during the COVID-19 pandemic. The results showed a correlation between the two scales (VAS-A and STAI). The VAS-A is a useful instrument for assessing students in a crisis that could potentially generate anxiety. The study established a reasonably safe error probability range (>5%), allowing the VAS-A scale to be used as a rapid diagnostic or pre-diagnostic tool, depending on the scores. The study shows that speedy detection of anxiety using the VAS-A and an in-depth approach with the STAI by teaching staff in crises is possible.</dc:description>
   <dc:description>info:eu-repo/semantics/publishedVersion</dc:description>
   <dc:date>2022-06</dc:date>
   <dc:type>info:eu-repo/semantics/article</dc:type>
   <dc:identifier>http://hdl.handle.net/20.500.14342/3765</dc:identifier>
   <dc:identifier>https://doi.org/10.3390/ijerph19127053</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>International Journal of Environmental Research and Public Health, 2022, 19(12): 7053</dc:relation>
   <dc:rights>© L'autor/a</dc:rights>
   <dc:rights>Attribution 4.0 International</dc:rights>
   <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:format>10 p.</dc:format>
   <dc:publisher>MDPI</dc:publisher>
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