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
Visualitza/Obre
Autor/a
Canet Vélez, Olga
Roca Llobet, Judith
Altres autors/es
Universitat Ramon Llull. Facultat de Ciències de la Salut Blanquerna
Data de publicació
2022-06Resum
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
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
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.
Tipus de document
Article
Versió del document
Versió publicada
Llengua
English
Matèries (CDU)
616.89 - Psiquiatria. Psicopatologia
Paraules clau
Ansietat
COVID-19 (Pandèmia), 2020-
Estudiants d'infermeria
Tests psicològics
State-Trait Anxiety Inventory (STAI)
Visual Analogue Anxiety Scale (VAS-A)
Pàgines
10 p.
Publicat per
MDPI
Publicat a
International Journal of Environmental Research and Public Health, 2022, 19(12): 7053
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