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The Factor Structure of the Mood Disorder Questionnaire in Tunisian Patients
BACKGROUND: The Mood Disorder Questionnaire (MDQ) is a frequently used screening tool for the early detection of Bipolar Disorder (BD), which is often unrecognized or misdiagnosed at its onset. In this study, data from Tunisia has been used to evaluate the psychometric properties of the Arabic MDQ....
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bentham Open
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7536729/ https://www.ncbi.nlm.nih.gov/pubmed/33029185 http://dx.doi.org/10.2174/1745017902016010082 |
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author | Ouali, Uta Jouini, Lamia Zgueb, Yosra Jomli, Rabaa Omrani, Adel Nacef, Fethi Preti, Antonio Carta, Mauro Giovanni |
author_facet | Ouali, Uta Jouini, Lamia Zgueb, Yosra Jomli, Rabaa Omrani, Adel Nacef, Fethi Preti, Antonio Carta, Mauro Giovanni |
author_sort | Ouali, Uta |
collection | PubMed |
description | BACKGROUND: The Mood Disorder Questionnaire (MDQ) is a frequently used screening tool for the early detection of Bipolar Disorder (BD), which is often unrecognized or misdiagnosed at its onset. In this study, data from Tunisia has been used to evaluate the psychometric properties of the Arabic MDQ. METHODS: The sample included 151 patients with a current major depressive episode. The Arabic adapted version of the Structured Clinical Interview for DSM-IV-TR was used to formulate a diagnosis, yielding 62 patients with BD and 89 with unipolar Major Depressive Disorder (MDD). Principal component analysis with parallel analysis was used to establish the spontaneous distribution of the 13 core items of the MDQ. Confirmatory Factor Analysis (CFA) was used to check the available factor models. Receiver Operating Characteristic (ROC) analysis was used to assess the capacity of the MDQ to distinguish patients with BD from those with MDD. RESULTS: Cronbach’s α in the sample was 0.80 (95%CI: 0.75 to 0.85). Ordinal α was 0.88. Parallel analysis suggested two main components, which explained 59% of variance in the data. CFA found a good fit for the existing unidimensional, the two-factor, and the three-factor models. ROC analysis showed that at a threshold of 7, the MDQ was able to distinguish patients with BD from those with MDD with extraordinary negative predictive value (0.92) and a positive diagnostic likelihood ratio of 3.8. CONCLUSION: The Arabic version of the MDQ showed good measurement properties in terms of reliability, factorial validity and discriminative properties. |
format | Online Article Text |
id | pubmed-7536729 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Bentham Open |
record_format | MEDLINE/PubMed |
spelling | pubmed-75367292020-10-06 The Factor Structure of the Mood Disorder Questionnaire in Tunisian Patients Ouali, Uta Jouini, Lamia Zgueb, Yosra Jomli, Rabaa Omrani, Adel Nacef, Fethi Preti, Antonio Carta, Mauro Giovanni Clin Pract Epidemiol Ment Health Clinical Practice Epidemiology in Mental Health BACKGROUND: The Mood Disorder Questionnaire (MDQ) is a frequently used screening tool for the early detection of Bipolar Disorder (BD), which is often unrecognized or misdiagnosed at its onset. In this study, data from Tunisia has been used to evaluate the psychometric properties of the Arabic MDQ. METHODS: The sample included 151 patients with a current major depressive episode. The Arabic adapted version of the Structured Clinical Interview for DSM-IV-TR was used to formulate a diagnosis, yielding 62 patients with BD and 89 with unipolar Major Depressive Disorder (MDD). Principal component analysis with parallel analysis was used to establish the spontaneous distribution of the 13 core items of the MDQ. Confirmatory Factor Analysis (CFA) was used to check the available factor models. Receiver Operating Characteristic (ROC) analysis was used to assess the capacity of the MDQ to distinguish patients with BD from those with MDD. RESULTS: Cronbach’s α in the sample was 0.80 (95%CI: 0.75 to 0.85). Ordinal α was 0.88. Parallel analysis suggested two main components, which explained 59% of variance in the data. CFA found a good fit for the existing unidimensional, the two-factor, and the three-factor models. ROC analysis showed that at a threshold of 7, the MDQ was able to distinguish patients with BD from those with MDD with extraordinary negative predictive value (0.92) and a positive diagnostic likelihood ratio of 3.8. CONCLUSION: The Arabic version of the MDQ showed good measurement properties in terms of reliability, factorial validity and discriminative properties. Bentham Open 2020-07-30 /pmc/articles/PMC7536729/ /pubmed/33029185 http://dx.doi.org/10.2174/1745017902016010082 Text en © 2020 Ouali et al. https://creativecommons.org/licenses/by/4.0/legalcode This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Clinical Practice Epidemiology in Mental Health Ouali, Uta Jouini, Lamia Zgueb, Yosra Jomli, Rabaa Omrani, Adel Nacef, Fethi Preti, Antonio Carta, Mauro Giovanni The Factor Structure of the Mood Disorder Questionnaire in Tunisian Patients |
title | The Factor Structure of the Mood Disorder Questionnaire in Tunisian Patients |
title_full | The Factor Structure of the Mood Disorder Questionnaire in Tunisian Patients |
title_fullStr | The Factor Structure of the Mood Disorder Questionnaire in Tunisian Patients |
title_full_unstemmed | The Factor Structure of the Mood Disorder Questionnaire in Tunisian Patients |
title_short | The Factor Structure of the Mood Disorder Questionnaire in Tunisian Patients |
title_sort | factor structure of the mood disorder questionnaire in tunisian patients |
topic | Clinical Practice Epidemiology in Mental Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7536729/ https://www.ncbi.nlm.nih.gov/pubmed/33029185 http://dx.doi.org/10.2174/1745017902016010082 |
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