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      Accuracy of the Arabic HCL - 32 and MDQ in detecting patients with bipolar disorder

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          Abstract

          Background

          Studies about the two most used and validated instruments for the early detection of Bipolar Disorder (BD), the 32 - item Hypomania Checklist (HCL - 32) and the Mood Disorder Questionnaire (MDQ), are scarce in non-Western countries. This study aimed to explore the reliability, factor structure, and criterion validity of their Arabic versions in a sample of Tunisian patients diagnosed with mood disorders.

          Methods

          The sample included 59 patients with BD, 86 with unipolar Major Depressive Disorder (MDD) and 281 controls. Confirmatory factor analysis was applied to show that a single global score was an appropriate summary measure of the screeners in the sample. Receiver Operating Characteristic analysis was used to assess the capacity of the translated screeners to distinguish patients with BD from those with MDD and controls.

          Results

          Reliability was good for both tools in all samples. The bifactor implementation of the most reported two-factor model had the best fit for both screeners. Both were able to distinguish patients diagnosed with BD from putatively healthy controls, and equally able to distinguish patients diagnosed with BD from patients with MDD.

          Conclusion

          Both screeners work best in excluding the presence of BD in patients with MDD, which is an advantage in deciding whether or not to prescribe an antidepressant.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12888-023-04529-x.

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          Most cited references53

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          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

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            pROC: an open-source package for R and S+ to analyze and compare ROC curves

            Background Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. However, conclusions are often reached through inconsistent use or insufficient statistical analysis. To support researchers in their ROC curves analysis we developed pROC, a package for R and S+ that contains a set of tools displaying, analyzing, smoothing and comparing ROC curves in a user-friendly, object-oriented and flexible interface. Results With data previously imported into the R or S+ environment, the pROC package builds ROC curves and includes functions for computing confidence intervals, statistical tests for comparing total or partial area under the curve or the operating points of different classifiers, and methods for smoothing ROC curves. Intermediary and final results are visualised in user-friendly interfaces. A case study based on published clinical and biomarker data shows how to perform a typical ROC analysis with pROC. Conclusions pROC is a package for R and S+ specifically dedicated to ROC analysis. It proposes multiple statistical tests to compare ROC curves, and in particular partial areas under the curve, allowing proper ROC interpretation. pROC is available in two versions: in the R programming language or with a graphical user interface in the S+ statistical software. It is accessible at http://expasy.org/tools/pROC/ under the GNU General Public License. It is also distributed through the CRAN and CSAN public repositories, facilitating its installation.
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              Quality criteria were proposed for measurement properties of health status questionnaires.

              Recently, an increasing number of systematic reviews have been published in which the measurement properties of health status questionnaires are compared. For a meaningful comparison, quality criteria for measurement properties are needed. Our aim was to develop quality criteria for design, methods, and outcomes of studies on the development and evaluation of health status questionnaires. Quality criteria for content validity, internal consistency, criterion validity, construct validity, reproducibility, longitudinal validity, responsiveness, floor and ceiling effects, and interpretability were derived from existing guidelines and consensus within our research group. For each measurement property a criterion was defined for a positive, negative, or indeterminate rating, depending on the design, methods, and outcomes of the validation study. Our criteria make a substantial contribution toward defining explicit quality criteria for measurement properties of health status questionnaires. Our criteria can be used in systematic reviews of health status questionnaires, to detect shortcomings and gaps in knowledge of measurement properties, and to design validation studies. The future challenge will be to refine and complete the criteria and to reach broad consensus, especially on quality criteria for good measurement properties.
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                Author and article information

                Contributors
                uta.ouali@gmail.com
                zguebyosra@gmail.com
                dr.lamia.jouini@gmail.com
                amina.aissa.83@gmail.com
                jomli.rabaa@gmail.com
                abdelhafidh.ouertani@gmail.com
                dr.adelomrani@gmail.com
                maurogcarta@gmail.com
                antonio.preti@unito.it
                Journal
                BMC Psychiatry
                BMC Psychiatry
                BMC Psychiatry
                BioMed Central (London )
                1471-244X
                26 January 2023
                26 January 2023
                2023
                : 23
                : 70
                Affiliations
                [1 ]Department Psychiatry A, Razi Hospital, Rue des Orangers, 2010 La Manouba, Tunisia
                [2 ]GRID grid.12574.35, ISNI 0000000122959819, Faculty of Medicine of Tunis, , University of Tunis El Manar, ; Tunis, Tunisia
                [3 ]Research Laboratory LR18SP03, Tunis, Tunisia
                [4 ]GRID grid.418149.1, ISNI 0000 0000 8631 6364, Centre de Compétences en Psychiatrie et Psychothérapie, Pôle de Psychiatrie et Psychothérapie, Hôpital du Valais (HVS)- Centre Hospitalier du Valais Romand, ; Sion, Switzerland
                [5 ]Tunisian Bipolar Forum, Erable Médical Cabinet 324, Tunis, Tunisia
                [6 ]GRID grid.7763.5, ISNI 0000 0004 1755 3242, Department of Medical Sciences and Public Health, , University of Cagliari, ; Cagliari, Italy
                [7 ]GRID grid.7605.4, ISNI 0000 0001 2336 6580, Department of Neuroscience, , University of Turin, ; Turin, Italy
                Article
                4529
                10.1186/s12888-023-04529-x
                9878752
                36703141
                72b9fa49-0b27-48e7-bdf8-5b170b393bd5
                © The Author(s) 2023

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

                History
                : 3 July 2022
                : 6 January 2023
                Categories
                Research
                Custom metadata
                © The Author(s) 2023

                Clinical Psychology & Psychiatry
                bipolar disorder,depression,screening,hypomania check list (hcl - 32),mood disorder questionnaire (mdq),hypomania

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