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A Self-Rating Depression Scale
Abstract
The fact that there is a need for assessing depression, whether as an affect, a symptom, or a disorder is obvious by the numerous scales and inventories available and in use today. The need to assess depression simply and specifically as a psychiatric disorder has not been met by most scales available today. We became acutely aware of this situation in a research project where we needed to correlate both the presence and severity of a depressive disorder in patients with other parameters such as arousal response during sleep and changes with treatment of the depressive disorder. It was felt that the general depression scales used were insufficient for our purpose and that the more specific scales were also inadequate. These inadequacies related to factors such as the length of a scale or inventory being too long and too time consuming, especially for a patient
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In the citing paper
“The ZUNG Depression Scale in Spanish was used [24]; during the COVID-19 pandemic, it was modified to evaluate depression. There are 20 items on this self-report measure, and they are both positive and negative. Its sensitivity and specificity are both above 80%, and its alpha coefficient is 0.09.”
From Comparative Analysis of Academic, Behavioral, and Psychophysiological Variables in Male and Female Vocational Training Students (2024) · cites this paper as [24]
In the citing paper
“Validated self-report questionnaires were used to assess psychopathology: Impact of Event Scale - Revised (IES-R) (Creamer et al., 2003), PTSD Checklist for DSM-5 (PCL-5) (Armour et al., 2016), Zung Self-Rating Depression Scale (ZSDS) (Zung, 1965), 13-item Beck’s Depression Inventory (BDI-13) (Beck and Steer, 1984), State-Trait Anxiety Inventory form Y (STAI-Y) (Vigneau and Cormier, 2008), Women’s”
From Persistent psychopathology and neurocognitive impairment in COVID-19 survivors: effect of inflammatory biomarkers at three-month follow-up (2021) · cites this paper as Zung, 1965
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Metadata
- Authors
- ZUNG, W. W. K.
- Affiliations
- Durham VA Medical Center (US)
- Corresponding author
- ZUNG, WILLIAM W. K.
- Venue
- Archives of General Psychiatry
- Publisher
- American Medical Association (AMA)
- Published
- 1965-01-01
- Volume
- 12
- Issue
- 1
- Pages
- 63
- ISSN
- 0003-990X (ISSN-L)
- OpenAlex
- W2170332928
- Cited by
- 9,813
- References
- 5
- Citations by year
- 2026: 437 · 2025: 518 · 2024: 460 · 2023: 427 · 2022: 439 · 2021: 376 · 2020: 348 · 2019: 270 · 2018: 247 · 2017: 237 · 2016: 242 · 2015: 229 · 2014: 241 · 2013: 268 · 2012: 233
- FWCI
- 26.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Archives of General Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Keywords
- Zung Self-Rating Depression Scale, depression assessment, depressive disorders, depression severity, mental health screening, treatment response monitoring
- MeSH terms
- Depression, Depressive Disorder, Diagnosis, Humans, Psychological Tests
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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