Psychometric properties of the MATRICS Consensus Cognitive Battery (MCCB) in Chinese patients with major depressive disorder

2020 ◽  
Vol 265 ◽  
pp. 132-138 ◽  
Author(s):  
Sixiang Liang ◽  
Wenwen Yu ◽  
Xiaojuan Ma ◽  
Shuqing Luo ◽  
Jian Zhang ◽  
...  
2010 ◽  
Vol 32 (4) ◽  
pp. 416-423 ◽  
Author(s):  
Odeilton Tadeu Soares ◽  
Doris Hupfeld Moreno ◽  
Eduardo Calmon de Moura ◽  
Jules Angst ◽  
Ricardo Alberto Moreno

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.


2016 ◽  
Vol 24 ◽  
pp. 103-109 ◽  
Author(s):  
Mohammad Darharaj ◽  
Mojtaba Habibi ◽  
Michael J. Power ◽  
Farzaneh Farzadian ◽  
Maesoumeh Rahimi ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Xuemei Qin ◽  
Mi Wang ◽  
Xiaowen Lu ◽  
Jinrong Sun ◽  
Qiangli Dong ◽  
...  

Background: Previous studies have shown that childhood maltreatment (CM) is closely associated with social support in the general population. However, little is known about the associations of different types of CM with social support in Chinese patients with major depressive disorder (MDD), which was the goal of the current study.Methods: One hundred and sixty-six patients with moderate-to-severe MDD were enrolled. Participants were assessed by the Childhood Trauma Questionnaire-28 item Short Form, Social Support Rating Scale (SSRS), the 24-item Hamilton rating scale for depression, and the 14-item Hamilton Anxiety Rating Scale. Correlation analysis and Hierarchical multiple linear regression analysis were adopted to investigate associations of types of CM with social support.Results: (1) Physical neglect (PN) and emotional neglect (EN) were the most commonly reported types of CM in patients with MDD. (2) EN was the only type of CM significant in the regression models of the SSRS total score, the score of subjective support, and the score of utilization of support.Limitations: The data of CM was collected retrospectively and recall bias may be introduced. Assessment of CM and social support were self-reported and could be influenced by the depression status.Conclusion: In Chinese patients with MDD, PN and EN are the most prevalent types of CM. EN is the only type of CM associated with low social support in regression models, calling for special attention in the assessment and intervention of EN.


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