Literature DB >> 25310205

The joint structure of major depression, anxiety disorders, and trait negative affect.

Hudson W de Carvalho1, Sérgio B Andreoli2, Diogo R Lara3, Christopher J Patrick4, Maria I Quintana2, Rodrigo A Bressan2, Marcelo F Mello2, Jair J Mari2, Miguel R Jorge2.   

Abstract

BACKGROUND: Dimensional models of psychopathology demonstrate that two correlated factors of fear and distress account for the covariation among depressive and anxiety disorders. Nevertheless, these models tend to exclude variables relevant to psychopathology, such as temperament traits. This study examined the joint structure of DSM-IV-based major depression and anxiety disorders along with trait negative affect in a representative sample of adult individuals residing in the cities of São Paulo and Rio de Janeiro, Brazil.
METHODS: The sample consisted of 3,728 individuals who were administered sections D (phobic, anxiety and panic disorders) and E (depressive disorders) of the Composite International Diagnostic Interview (CIDI) 2.1 and a validated version of the Positive and Negative Affect Schedule. Data were analyzed using correlational and structural equation modeling.
RESULTS: Lifetime prevalence ranged from 2.4% for panic disorder to 23.2% for major depression. Most target variables were moderately correlated. A two-factor model specifying correlated fear and distress factors was retained and confirmed for models including only diagnostic variables and diagnostic variables along with trait negative affect.
CONCLUSIONS: This study provides support for characterization of internalizing psychopathology and trait negative affect in terms of correlated dimensions of distress and fear. These results have potential implications for psychiatric taxonomy and for understanding the relationship between temperament and psychopathology.

Entities:  

Mesh:

Year:  2014        PMID: 25310205     DOI: 10.1590/1516-4446-2013-1329

Source DB:  PubMed          Journal:  Braz J Psychiatry        ISSN: 1516-4446            Impact factor:   2.697


  2 in total

1.  Generalised Anxiety Disorder--A Twin Study of Genetic Architecture, Genome-Wide Association and Differential Gene Expression.

Authors:  Matthew N Davies; Serena Verdi; Andrea Burri; Maciej Trzaskowski; Minyoung Lee; John M Hettema; Rick Jansen; Dorret I Boomsma; Tim D Spector
Journal:  PLoS One       Date:  2015-08-14       Impact factor: 3.240

2.  Exploring the utility of RDoC in differentiating effectiveness amongst antidepressants: A systematic review using proposed psychometrics as the unit of analysis for the Negative Valence Systems domain.

Authors:  Andrew Hui
Journal:  PLoS One       Date:  2020-12-16       Impact factor: 3.240

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.