Differentiating irritable mood and disruptive behavior in adults

Detalhes bibliográficos
Autor(a) principal: Knackfuss, Ana Claudia Umpierre
Data de Publicação: 2020
Outros Autores: Leibenluft, Ellen, Brotman, Melissa A., Silveira Júnior, Érico de Moura, Simioni, André Rafael, Mendes, Lorenna Sena Teixeira, Gerchmann, Luciana Waldman, Fijtman, Adam, Trasel, Andrea Ruschel, Sperotto, Daniela, Manfro, Arthur Gus, Kapczinski, Flávio Pereira, Kauer-Sant'Anna, Márcia, Salum Junior, Giovanni Abrahão
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/229316
Resumo: Introduction: 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.
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spelling Knackfuss, Ana Claudia UmpierreLeibenluft, EllenBrotman, Melissa A.Silveira Júnior, Érico de MouraSimioni, André RafaelMendes, Lorenna Sena TeixeiraGerchmann, Luciana WaldmanFijtman, AdamTrasel, Andrea RuschelSperotto, DanielaManfro, Arthur GusKapczinski, Flávio PereiraKauer-Sant'Anna, MárciaSalum Junior, Giovanni Abrahão2021-09-01T04:25:02Z20202238-0019http://hdl.handle.net/10183/229316001130215Introduction: 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.application/pdfengTrends in psychiatry and psychotherapy. Porto Alegre. Vol. 42, no. 4 (2020), p. 375-386.Humor irritávelAnálise fatorialTranstornos mentaisAdultoIrritable moodFactor analysisBehavior disordersDifferentiating irritable mood and disruptive behavior in adultsinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001130215.pdf.txt001130215.pdf.txtExtracted Texttext/plain48446http://www.lume.ufrgs.br/bitstream/10183/229316/2/001130215.pdf.txt5f3031b60a203be39ea9dc973dc5b136MD52ORIGINAL001130215.pdfTexto completo (inglês)application/pdf224127http://www.lume.ufrgs.br/bitstream/10183/229316/1/001130215.pdf8bf6e6613945fd50a02ded4ef93e60b7MD5110183/2293162021-09-19 04:29:18.378216oai:www.lume.ufrgs.br:10183/229316Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2021-09-19T07:29:18Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Differentiating irritable mood and disruptive behavior in adults
title Differentiating irritable mood and disruptive behavior in adults
spellingShingle Differentiating irritable mood and disruptive behavior in adults
Knackfuss, Ana Claudia Umpierre
Humor irritável
Análise fatorial
Transtornos mentais
Adulto
Irritable mood
Factor analysis
Behavior disorders
title_short Differentiating irritable mood and disruptive behavior in adults
title_full Differentiating irritable mood and disruptive behavior in adults
title_fullStr Differentiating irritable mood and disruptive behavior in adults
title_full_unstemmed Differentiating irritable mood and disruptive behavior in adults
title_sort Differentiating irritable mood and disruptive behavior in adults
author Knackfuss, Ana Claudia Umpierre
author_facet Knackfuss, Ana Claudia Umpierre
Leibenluft, Ellen
Brotman, Melissa A.
Silveira Júnior, Érico de Moura
Simioni, André Rafael
Mendes, Lorenna Sena Teixeira
Gerchmann, Luciana Waldman
Fijtman, Adam
Trasel, Andrea Ruschel
Sperotto, Daniela
Manfro, Arthur Gus
Kapczinski, Flávio Pereira
Kauer-Sant'Anna, Márcia
Salum Junior, Giovanni Abrahão
author_role author
author2 Leibenluft, Ellen
Brotman, Melissa A.
Silveira Júnior, Érico de Moura
Simioni, André Rafael
Mendes, Lorenna Sena Teixeira
Gerchmann, Luciana Waldman
Fijtman, Adam
Trasel, Andrea Ruschel
Sperotto, Daniela
Manfro, Arthur Gus
Kapczinski, Flávio Pereira
Kauer-Sant'Anna, Márcia
Salum Junior, Giovanni Abrahão
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Knackfuss, Ana Claudia Umpierre
Leibenluft, Ellen
Brotman, Melissa A.
Silveira Júnior, Érico de Moura
Simioni, André Rafael
Mendes, Lorenna Sena Teixeira
Gerchmann, Luciana Waldman
Fijtman, Adam
Trasel, Andrea Ruschel
Sperotto, Daniela
Manfro, Arthur Gus
Kapczinski, Flávio Pereira
Kauer-Sant'Anna, Márcia
Salum Junior, Giovanni Abrahão
dc.subject.por.fl_str_mv Humor irritável
Análise fatorial
Transtornos mentais
Adulto
topic Humor irritável
Análise fatorial
Transtornos mentais
Adulto
Irritable mood
Factor analysis
Behavior disorders
dc.subject.eng.fl_str_mv Irritable mood
Factor analysis
Behavior disorders
description Introduction: 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.
publishDate 2020
dc.date.issued.fl_str_mv 2020
dc.date.accessioned.fl_str_mv 2021-09-01T04:25:02Z
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dc.relation.ispartof.pt_BR.fl_str_mv Trends in psychiatry and psychotherapy. Porto Alegre. Vol. 42, no. 4 (2020), p. 375-386.
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