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Screening for anxiety and depression: reassessing the utility of the Zung scales

BACKGROUND: While the gold standard for the diagnosis of mental disorders remains the structured clinical interview, self-report measures continue to play an important role in screening and measuring progress, as well as being frequently employed in research studies. Two widely-used self-report meas...

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Autores principales: Dunstan, Debra A., Scott, Ned, Todd, Anna K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5591521/
https://www.ncbi.nlm.nih.gov/pubmed/28886698
http://dx.doi.org/10.1186/s12888-017-1489-6
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author Dunstan, Debra A.
Scott, Ned
Todd, Anna K.
author_facet Dunstan, Debra A.
Scott, Ned
Todd, Anna K.
author_sort Dunstan, Debra A.
collection PubMed
description BACKGROUND: While the gold standard for the diagnosis of mental disorders remains the structured clinical interview, self-report measures continue to play an important role in screening and measuring progress, as well as being frequently employed in research studies. Two widely-used self-report measures in the area of depression and anxiety are Zung’s Self-Rating Depression Scale (SDS) and Self Rating Anxiety Scale (SAS). However, considerable confusion exists in their application, with clinical cut-offs often applied incorrectly. This study re-examines the credentials of the Zung scales by comparing them with the Depression Anxiety Stress Scale (DASS) in terms of their ability to predict clinical diagnoses of anxiety and depression made using the Patient Health Questionnaire (PHQ). METHOD: A total sample of 376 adults, of whom 87 reported being in receipt of psychological treatment, completed the two-page version of the PHQ relating to depression and anxiety, together with the SDS, the SAS and the DASS. RESULTS: Overall, although the respective DASS scales emerged as marginally stronger predictors of PHQ diagnoses of anxiety and depression, the Zung indices performed more than acceptably in comparison. The DASS also had an advantage in discriminative ability. Using the current recommended cut-offs for all scales, the DASS has the edge on specificity, while the Zung scales are superior in terms of sensitivity. There are grounds to consider making the Zung cut-offs more conservative, and doing this would produce comparable numbers of ‘Misses’ and ‘False Positives’ to those obtained with the DASS. CONCLUSIONS: Given these promising results, further research is justified to assess the Zung scales ability against full clinical diagnoses and to further explore optimum cut-off levels.
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spelling pubmed-55915212017-09-13 Screening for anxiety and depression: reassessing the utility of the Zung scales Dunstan, Debra A. Scott, Ned Todd, Anna K. BMC Psychiatry Research Article BACKGROUND: While the gold standard for the diagnosis of mental disorders remains the structured clinical interview, self-report measures continue to play an important role in screening and measuring progress, as well as being frequently employed in research studies. Two widely-used self-report measures in the area of depression and anxiety are Zung’s Self-Rating Depression Scale (SDS) and Self Rating Anxiety Scale (SAS). However, considerable confusion exists in their application, with clinical cut-offs often applied incorrectly. This study re-examines the credentials of the Zung scales by comparing them with the Depression Anxiety Stress Scale (DASS) in terms of their ability to predict clinical diagnoses of anxiety and depression made using the Patient Health Questionnaire (PHQ). METHOD: A total sample of 376 adults, of whom 87 reported being in receipt of psychological treatment, completed the two-page version of the PHQ relating to depression and anxiety, together with the SDS, the SAS and the DASS. RESULTS: Overall, although the respective DASS scales emerged as marginally stronger predictors of PHQ diagnoses of anxiety and depression, the Zung indices performed more than acceptably in comparison. The DASS also had an advantage in discriminative ability. Using the current recommended cut-offs for all scales, the DASS has the edge on specificity, while the Zung scales are superior in terms of sensitivity. There are grounds to consider making the Zung cut-offs more conservative, and doing this would produce comparable numbers of ‘Misses’ and ‘False Positives’ to those obtained with the DASS. CONCLUSIONS: Given these promising results, further research is justified to assess the Zung scales ability against full clinical diagnoses and to further explore optimum cut-off levels. BioMed Central 2017-09-08 /pmc/articles/PMC5591521/ /pubmed/28886698 http://dx.doi.org/10.1186/s12888-017-1489-6 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Dunstan, Debra A.
Scott, Ned
Todd, Anna K.
Screening for anxiety and depression: reassessing the utility of the Zung scales
title Screening for anxiety and depression: reassessing the utility of the Zung scales
title_full Screening for anxiety and depression: reassessing the utility of the Zung scales
title_fullStr Screening for anxiety and depression: reassessing the utility of the Zung scales
title_full_unstemmed Screening for anxiety and depression: reassessing the utility of the Zung scales
title_short Screening for anxiety and depression: reassessing the utility of the Zung scales
title_sort screening for anxiety and depression: reassessing the utility of the zung scales
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5591521/
https://www.ncbi.nlm.nih.gov/pubmed/28886698
http://dx.doi.org/10.1186/s12888-017-1489-6
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