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dc.contributor.authorKnackfuss, Ana Claudia Umpierrept_BR
dc.contributor.authorLeibenluft, Ellenpt_BR
dc.contributor.authorBrotman, Melissa A.pt_BR
dc.contributor.authorSilveira Júnior, Érico de Mourapt_BR
dc.contributor.authorSimioni, André Rafaelpt_BR
dc.contributor.authorMendes, Lorenna Sena Teixeirapt_BR
dc.contributor.authorGerchmann, Luciana Waldmanpt_BR
dc.contributor.authorFijtman, Adampt_BR
dc.contributor.authorTrasel, Andrea Ruschelpt_BR
dc.contributor.authorSperotto, Danielapt_BR
dc.contributor.authorManfro, Arthur Guspt_BR
dc.contributor.authorKapczinski, Flávio Pereirapt_BR
dc.contributor.authorKauer-Sant'Anna, Márciapt_BR
dc.contributor.authorSalum Junior, Giovanni Abrahãopt_BR
dc.date.accessioned2021-09-01T04:25:02Zpt_BR
dc.date.issued2020pt_BR
dc.identifier.issn2238-0019pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/229316pt_BR
dc.description.abstractIntroduction: Irritability has both mood and behavioral manifestations. These frequently co-occur, and it is unclear to what extent they are dissociable domains. We used confirmatory factor analysis and external validators to investigate the independence of mood and behavioral components of irritability. Methods: The sample comprised 246 patients (mean age 45 years; 63% female) from four outpatient programs (depression, anxiety, bipolar, and schizophrenia) at a tertiary hospital. A clinical instrument rated by trained clinicians was specifically designed to capture irritable mood and disruptive behavior dimensionally, as well as current categorical diagnoses i.e., intermittent explosive disorder (IED); oppositional defiant disorder (ODD); and an adaptation to diagnose disruptive mood dysregulation disorder (DMDD) in adults. Confirmatory factor analysis (CFA) was used to test the best fitting irritability models and regression analyses were used to investigate associations with external validators. Results: Irritable mood and disruptive behavior were both frequent, but diagnoses of disruptive syndromes were rare (IED, 8%; ODD, 2%; DMDD, 2%). A correlated model with two dimensions, and a bifactor model with one general dimension and two specific dimensions (mood and behavior) both had good fit indices. The correlated model had root mean square error of approximation (RMSEA) = 0.077, with 90% confidence interval (90%CI) = 0.071-0.083; comparative fit index (CFI) = 0.99; and Tucker-Lewis index (TLI) = 0.99, while the bifactor model had RMSEA = 0.041; CFI = 0.99; and TLI = 0.99 respectively). In the bifactor model, external validity for differentiation of the mood and behavioral components of irritability was also supported by associations between irritable mood and impairment and clinical measures of depression and mania, which were not associated with disruptive behavior. Conclusions: Psychometric and external validity data suggest both overlapping and specific features of the mood vs. disruptive behavior dimensions of irritability.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofTrends in psychiatry and psychotherapy. Porto Alegre. Vol. 42, no. 4 (2020), p. 375-386.pt_BR
dc.rightsOpen Accessen
dc.subjectHumor irritávelpt_BR
dc.subjectIrritable mooden
dc.subjectAnálise fatorialpt_BR
dc.subjectFactor analysisen
dc.subjectBehavior disordersen
dc.subjectTranstornos mentaispt_BR
dc.subjectAdultopt_BR
dc.titleDifferentiating irritable mood and disruptive behavior in adultspt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb001130215pt_BR
dc.type.originNacionalpt_BR


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