Uta Ouali, Lamia Jouini, Yosra Zgueb, Rabaa Jomli, Adel Omrani, Fethi Nacef, Antonio Preti, Mauro Giovanni Carta
{"title":"突尼斯患者心境障碍问卷的因素结构。","authors":"Uta Ouali, Lamia Jouini, Yosra Zgueb, Rabaa Jomli, Adel Omrani, Fethi Nacef, Antonio Preti, Mauro Giovanni Carta","doi":"10.2174/1745017902016010082","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>The Arabic version of the MDQ showed good measurement properties in terms of reliability, factorial validity and discriminative properties.</p>","PeriodicalId":35447,"journal":{"name":"Clinical Practice and Epidemiology in Mental Health","volume":"16 Suppl-1","pages":"82-92"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7536729/pdf/","citationCount":"6","resultStr":"{\"title\":\"The Factor Structure of the Mood Disorder Questionnaire in Tunisian Patients.\",\"authors\":\"Uta Ouali, Lamia Jouini, Yosra Zgueb, Rabaa Jomli, Adel Omrani, Fethi Nacef, Antonio Preti, Mauro Giovanni Carta\",\"doi\":\"10.2174/1745017902016010082\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>The Arabic version of the MDQ showed good measurement properties in terms of reliability, factorial validity and discriminative properties.</p>\",\"PeriodicalId\":35447,\"journal\":{\"name\":\"Clinical Practice and Epidemiology in Mental Health\",\"volume\":\"16 Suppl-1\",\"pages\":\"82-92\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7536729/pdf/\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Practice and Epidemiology in Mental Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/1745017902016010082\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2020/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Practice and Epidemiology in Mental Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1745017902016010082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
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.
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.
期刊介绍:
Clinical Practice & Epidemiology in Mental Health is an open access online journal, which publishes Research articles, Reviews, Letters in all areas of clinical practice and epidemiology in mental health covering the following topics: Clinical and epidemiological research in psychiatry and mental health; diagnosis, prognosis and treatment of mental health conditions; and frequencies and determinants of mental health conditions in the community and the populations at risk; research and economic aspects of psychiatry, with special attention given to manuscripts presenting new results and methods in the area; and clinical epidemiologic investigation of pharmaceutical agents. Clinical Practice & Epidemiology in Mental Health, a peer reviewed journal, aims to provide the most complete and reliable source of information on current developments in the field. The emphasis will be on publishing quality articles rapidly and freely available worldwide.