Differentiating irritable mood and disruptive behavior in adults
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , , , , , |
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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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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info:eu-repo/semantics/article info:eu-repo/semantics/other |
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http://hdl.handle.net/10183/229316 |
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2238-0019 |
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001130215 |
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2238-0019 001130215 |
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http://hdl.handle.net/10183/229316 |
dc.language.iso.fl_str_mv |
eng |
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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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