scholarly journals The Factor Structure of the Mood Disorder Questionnaire in Tunisian Patients

2020 ◽  
Vol 16 (1) ◽  
pp. 82-92
Author(s):  
Uta Ouali ◽  
Lamia Jouini ◽  
Yosra Zgueb ◽  
Rabaa Jomli ◽  
Adel Omrani ◽  
...  
Keyword(s):  
Mood Disorder ◽  
Roc Analysis ◽  
Principal Component ◽  
Factor Models ◽  
Study Data ◽  
Parallel Analysis ◽  
Measurement Properties ◽  
Major Depressive ◽  
Mood Disorder Questionnaire ◽  
Diagnostic Likelihood Ratio

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.

scholarly journals Reliability and validity of a Brazilian version of the Hypomania Checklist (HCL-32) compared to the Mood Disorder Questionnaire (MDQ)

2010 ◽  
Vol 32 (4) ◽  
pp. 416-423 ◽  
Author(s):  
Odeilton Tadeu Soares ◽  
Doris Hupfeld Moreno ◽  
Eduardo Calmon de Moura ◽  
Jules Angst ◽  
Ricardo Alberto Moreno
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Mood Disorder ◽  
Psychometric Properties ◽  
Internal Consistency ◽  
Major Depressive ◽  
Brazilian Version ◽  
Diagnostic Certainty ◽  
Mood Disorder Questionnaire

OBJECTIVE: Bipolar disorders are often not recognized and undertreated. The diagnosis of current or past episodes of hypomania is of importance in order to increase diagnostic certainty. The Hypomania Checklist-32 is a self-applied questionnaire aimed at recognizing these episodes. As part of the international collaborative effort to develop multi-lingual versions of the Hypomania Checklist-32, we aimed to validate the Brazilian version and to compare its psychometric properties with those of the Mood Disorder Questionnaire. METHOD: Adult outpatients with bipolar disorder I (n = 37), bipolar disorder II (n = 44) and major depressive disorder (n = 42) of a specialized mood disorder unit were diagnosed according to DSM-IV-TR using a modified version of the SCID. We analyzed the internal consistency and discriminative ability of the Hypomania Checklist-32 Brazilian version in relation to the Mood Disorder Questionnaire. RESULTS: The internal consistency of the Brazilian Hypomania Checklist-32, analyzed using Cronbach's alpha coefficient, was 0.86. A score of 18 or higher in the Hypomania Checklist-32 Brazilian version distinguished between bipolar disorder and major depressive disorder, with a sensitivity of 0.75 and a specificity of 0.58, compared to 0.70 and 0.58, respectively, for the Mood Disorder Questionnaire (score > 7). The Hypomania Checklist-32 Brazilian version showed a dual factor structure characterized by "active/elated" and "risk-taking/irritable" items. Hence, the Hypomania Checklist-32 Brazilian version was found to have a higher sensitivity but the same specificity as the Mood Disorder Questionnaire. CONCLUSION: The Brazilian version of the Hypomania Checklist-32 has adequate psychometric properties and helps discriminating bipolar disorder from major depressive disorder (but not bipolar disorder I from bipolar disorder II) with good sensitivity and specificity indices, similar to those of the Mood Disorder Questionnaire.

Use of the Hypomania Checklist-32 and the Mood Disorder Questionnaire for detecting bipolarity in 1,051 patients with major depressive disorder

2011 ◽  
Vol 27 (8) ◽  
pp. 577-581 ◽  
Author(s):  
J.K. Rybakowski ◽  
D. Dudek ◽  
T. Pawlowski ◽  
D. Lojko ◽  
M. Siwek ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Mood Disorder ◽  
Antidepressant Drugs ◽  
Severe Form ◽  
Major Depressive ◽  
Psychiatric Hospitalizations ◽  
Mood Disorder Questionnaire ◽  
Icd 10 ◽  
Depressive Episodes

AbstractPurposeTo use the Hypomania Checklist (HCL-32) and the Mood Disorder Questionnaire (MDQ), for detecting bipolarity in depressed patients.PatientsOne thousand and fifty-one patients fulfilling ICD-10 criteria for unipolar major depressive episode, single or recurrent, were studied. Patients were assessed using a structured demographic and clinical data interview, and by the Polish versions of the HCL-32 and MDQ questionnaires.ResultsHypomanic symptoms exceeding cut-off criteria for bipolarity by HCL-32 were found in 37.5% of patients and, by MDQ, in 20% of patients. Patients with HCL-32 (+) or MDQ (+) differed significantly from patients with HCl-32 (−) and MDQ (−) respectively, by being less frequently married, having more family history of depression, bipolar disorder, alcoholism and suicide, earlier onset of illness, and more depressive episodes and psychiatric hospitalizations. The percentage of patients resistant to treatment with antidepressant drugs was significantly higher in HCL-32 (+) vs HCL-32 (−) and in MDQ (+) vs MDQ (−): 43.9% vs 30.0%, and 26.4% vs 12.4%, respectively.ConclusionsThe results confirm a substantial percentage of bipolarity in major depressive disorder. Such patients have a number of clinical characteristics pointing on a more severe form of the illness and their depression is more resistant to treatment with antidepressants.

Mood Disorder Questionnaire--Adolescent Version; Korean Version

2018 ◽  
Author(s):  
Se-Hoon Shim ◽  
Jonghun Lee ◽  
Jye-Heon Song ◽  
Beomwoo Nam ◽  
Bo-Hyun Yoon ◽  
...  
Keyword(s):  
Mood Disorder ◽  
Korean Version ◽  
Mood Disorder Questionnaire

Attention-deficit/hyperactivity disorder and other neurodevelopmental disorders in offspring of parents with depression and bipolar disorder

2021 ◽  
pp. 1-8
Author(s):  
L. Propper ◽  
A. Sandstrom ◽  
S. Rempel ◽  
E. Howes Vallis ◽  
S. Abidi ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Attention Deficit Hyperactivity Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Mood Disorder ◽  
Attention Deficit ◽  
Neurodevelopmental Disorders ◽  
Autism Spectrum ◽  
Major Depressive ◽  
Hyperactivity Disorder

Abstract Background Offspring of parents with major mood disorders (MDDs) are at increased risk for early psychopathology. We aim to compare the rates of neurodevelopmental disorders in offspring of parents with bipolar disorder, major depressive disorder, and controls. Method We established a lifetime diagnosis of neurodevelopmental disorders [attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, communication disorders, intellectual disabilities, specific learning disorders, and motor disorders] using the Kiddie Schedule for Affective Disorders and Schizophrenia, Present and Lifetime Version in 400 participants (mean age 11.3 + s.d. 3.9 years), including 93 offspring of parents with bipolar disorder, 182 offspring of parents with major depressive disorder, and 125 control offspring of parents with no mood disorder. Results Neurodevelopmental disorders were elevated in offspring of parents with bipolar disorder [odds ratio (OR) 2.34, 95% confidence interval (CI) 1.23–4.47, p = 0.010] and major depressive disorder (OR 1.87, 95% CI 1.03–3.39, p = 0.035) compared to controls. This difference was driven by the rates of ADHD, which were highest among offspring of parents with bipolar disorder (30.1%), intermediate in offspring of parents with major depressive disorder (24.2%), and lowest in controls (14.4%). There were no significant differences in frequencies of other neurodevelopmental disorders between the three groups. Chronic course of mood disorder in parents was associated with higher rates of any neurodevelopmental disorder and higher rates of ADHD in offspring. Conclusions Our findings suggest monitoring for ADHD and other neurodevelopmental disorders in offspring of parents with MDDs may be indicated to improve early diagnosis and treatment.

scholarly journals COVID-Q: validation of the first COVID-19 questionnaire based on patient-rated symptom gravity

2021 ◽  
Author(s):  
Giacomo Spinato ◽  
Cristoforo Fabbris ◽  
Federica Conte ◽  
Anna Menegaldo ◽  
Leonardo Franz ◽  
...  
Keyword(s):  
Comprehensive Evaluation ◽  
Principal Component ◽  
Symptom Assessment ◽  
Parallel Analysis ◽  
Nasopharyngeal Swab ◽  
Item Fit ◽  
Irt Models ◽  
Clinical Conditions ◽  
Negative Controls ◽  
Multiple Symptoms

Objectives The aim of the present study was to develop and validate the CoronaVirus Disease 2019 (COVID19) Questionnaire (COVIDQ), a novel symptom questionnaire specific for COVID19 patients, to provide a comprehensive evaluation which may be helpful for physicians. A secondary goal of the present study was to evaluate the performance of the COVIDQ in identifying subjects at higher risk of being tested positive for COVID19. Material and methods Consecutive not hospitalized adults who underwent nasopharyngeal and throat swab for severe acute respiratory syndrome coronavirus 2 (SARSCoV2) detection at Treviso Hospital in March 2020, were enrolled. Subjects were divided into positive (cases) and negative (controls) in equal number. All of them gave consent and answered the COVIDQ. Patients not able to answer the COVIDQ due to clinical conditions were excluded. Parallel Analysis and Principal Component Analysis were used to identify clusters of items measuring the same dimension. The Item Response Theory (IRT) based analyses evaluated the functioning of item categories, the presence of clusters of local dependence among items, item fit within the model and model fit to the data. Results Answers obtained from 230 COVID19 cases (113 males, and 117 females; mean age 55 years, range 20 to 99 years) and 230 controls (61 males, and 169 females; mean age 46 years, range 21 to 89) were analyzed. Parallel analysis led to the extraction of six components, which corresponded to as many clinical presentation patterns: asthenia, influenza symptoms, ear and nose symptoms, breathing issues, throat symptoms, and anosmia/ageusia. The final IRT models retained 27 items as significant for symptom assessment. The total score on the questionnaire was significantly associated with positivity to the molecular SARSCoV2 test: subjects with multiple symptoms were significantly more likely to be affected by COVID19 (p < .001). Older age and male gender also represented risk factors. Presence of breathing issues and anosmia/ageusia were significantly related to positivity to SARSCoV2 (p < 0.001). None of the examined comorbidities had a significant association with COVID19 diagnosis. Conclusion According to the analyses, COVIDQ could be validated since the aspects it evaluated were overall significantly related to SARSCoV2 infection. The application of the novel COVIDQ to everyday clinical practice may help identifying subjects who are likely to be affected by COVID19 and address them to a nasopharyngeal swab in order to achieve an early diagnosis.

scholarly journals Projected principal component analysis in factor models

2016 ◽  
Vol 44 (1) ◽  
pp. 219-254 ◽  
Author(s):  
Jianqing Fan ◽  
Yuan Liao ◽  
Weichen Wang
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Factor Models
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