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      Assigning Clinical Significance and Symptom Severity Using the Zung Scales: Levels of Misclassification Arising from Confusion between Index and Raw Scores

      research-article
      ,
      Depression Research and Treatment
      Hindawi

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          Abstract

          Background

          The Zung Self-Rating Depression Scale (SDS) and Self-Rating Anxiety Scale (SAS) are two norm-referenced scales commonly used to identify the presence of depression and anxiety in clinical research. Unfortunately, several researchers have mistakenly applied index score criteria to raw scores when assigning clinical significance and symptom severity ratings. This study examined the extent of this problem.

          Method

          102 papers published over the six-year period from 2010 to 2015 were used to establish two convenience samples of 60 usages of each Zung scale.

          Results

          In those papers where cut-off scores were used (i.e., 45/60 for SDS and 40/60 for SAS), up to 51% of SDS and 45% of SAS papers involved the incorrect application of index score criteria to raw scores. Inconsistencies were also noted in the severity ranges and cut-off scores used.

          Conclusions

          A large percentage of publications involving the Zung SDS and SAS scales are using incorrect criteria for the classification of clinically significant symptoms of depression and anxiety. The most common error—applying index score criteria to raw scores—produces a substantial elevation of the cut-off points for significance. Given the continuing usage of these scales, it is important that these inconsistencies be highlighted and resolved.

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          Most cited references110

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          Adolescent subthreshold-depression and anxiety: psychopathology, functional impairment and increased suicide risk.

           Subthreshold-depression and anxiety have been associated with significant impairments in adults. This study investigates the characteristics of adolescent subthreshold-depression and anxiety with a focus on suicidality, using both categorical and dimensional diagnostic models.  Data were drawn from the Saving and Empowering Young Lives in Europe (SEYLE) study, comprising 12,395 adolescents from 11 countries. Based on self-report, including Beck Depression Inventory-II (BDI-II), Zung Self-Rating Anxiety Scale (SAS), Strengths and Difficulties Questionnaire (SDQ) and Paykel Suicide Scale (PSS) were administered to students. Based on BDI-II, adolescents were divided into three groups: nondepressed, subthreshold-depressed and depressed; based on the SAS, they were divided into nonanxiety, subthreshold-anxiety and anxiety groups. Analyses of Covariance were conducted on SDQ scores to explore psychopathology of the defined groups. Logistic regression analyses were conducted to explore the relationships between functional impairments, suicidality and subthreshold and full syndromes.  Thirty-two percent of the adolescents were subthreshold-anxious and 5.8% anxious, 29.2% subthreshold-depressed and 10.5% depressed, with high comorbidity. Mean scores of SDQ of subthreshold-depressed/anxious were significantly higher than the mean scores of the nondepressed/nonanxious groups and significantly lower than those of the depressed/anxious groups. Both subthreshold and threshold-anxiety and depression were related to functional impairment and suicidality. Subthreshold-depression and subthreshold-anxiety are associated with an increased burden of disease and suicide risk. These results highlight the importance of early identification of adolescent subthreshold-depression and anxiety to minimize suicide. Incorporating these subthreshold disorders into a diagnosis could provide a bridge between categorical and dimensional diagnostic models. © 2013 The Authors. Journal of Child Psychology and Psychiatry © 2013 Association for Child and Adolescent Mental Health.
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            Associations of Physical Activity, Screen Time with Depression, Anxiety and Sleep Quality among Chinese College Freshmen

            Objectives To investigate the independent and interactive associations of physical activity (PA) and screen time (ST) with depression, anxiety and sleep quality among Chinese college students. Methods A cross-sectional study was conducted in Wuhan University, China from November to December 2011. The students reported their PA, ST and socio-economic characteristics using self-administered questionnaires. Sleep quality was measured by the Pittsburgh Sleep Quality Index (PSQI). Depression and anxiety were assessed using the Self-rating Depression Scale (SDS) and Self-rating Anxiety Scale (SAS), respectively. Multivariate logistic regression models were used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) of the independent and interactive relationships of PA and ST with depression, anxiety and sleep quality. Results A total of 1106 freshmen (471 females and 635 males) aged 18.9±0.9 years were included in the study. After adjustment for potential confounders, high PA and low ST were independently associated with significantly lower risks for poor sleep quality (OR: 0.48, 95% CI: 0.30–0.78) and depression (OR: 0.67, 95%CI: 0.44–0.89), respectively. An interactive inverse association was observed for combined effects of PA and low ST on depression (OR: 0.62, 95%CI: 0.40–0.92) and sleep quality (OR: 0.51, 95%CI: 0.27–0.91). No statistically significant associations were found between PA, ST and anxiety among the participants. Conclusions These findings suggest an independent and interactive relationship of high PA and low ST with significantly reduced prevalence of depressive problems and favorable sleep quality among Chinese college freshmen.
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              Psychometric properties of the Depression Anxiety Stress Scales (DASS) in clinical samples.

              The psychometric properties of the Depression Anxiety Stress Scales (DASS) were evaluated in two studies using large clinical samples (N = 437 and N = 241). In Study 1, the three scales comprising the DASS were shown to have excellent internal consistency and temporal stability. An exploratory factor analysis (principal components extraction with varimax rotation) yielded a solution that was highly consistent with the factor structure previously found in nonclinical samples. Between-groups comparisons indicated that the DASS distinguished various anxiety and mood disorder groups in the predicted direction. In Study 2, the conceptual and empirical latent structure of the DASS was upheld by findings from confirmatory factor analysis. Correlations between the DASS and other questionnaire and clinical rating measures of anxiety, depression, and negative affect demonstrated the convergent and discriminant validity of the scales. In addition to supporting the psychometric properties of the DASS in clinical anxiety and mood disorders samples, the results are discussed in the context of current conceptualizations of the distinctive and overlapping features of anxiety and depression.

                Author and article information

                Contributors
                Journal
                Depress Res Treat
                Depress Res Treat
                DRT
                Depression Research and Treatment
                Hindawi
                2090-1321
                2090-133X
                2018
                21 January 2018
                : 2018
                : 9250972
                Affiliations
                School of Behavioural, Cognitive and Social Sciences, University of New England, Armidale, NSW 2351, Australia
                Author notes

                Academic Editor: Bernard Sabbe

                Author information
                http://orcid.org/0000-0002-0298-7393
                http://orcid.org/0000-0002-2215-505X
                Article
                10.1155/2018/9250972
                5828114
                29610683
                de848717-e59d-4a2d-beec-11dc1064eabf
                Copyright © 2018 Debra A. Dunstan and Ned Scott.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 20 June 2017
                : 19 December 2017
                Categories
                Research Article

                Neurology
                Neurology

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