Depression dimensions : integrating clinical signs and symptoms from the perspectives of clinicians and patients

Detalhes bibliográficos
Autor(a) principal: Vares, Edgar Arrua
Data de Publicação: 2015
Outros Autores: Salum Junior, Giovanni Abrahão, Spanemberg, Lucas, Caldieraro, Marco Antonio Knob, Fleck, Marcelo Pio de Almeida
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/200722
Resumo: Background Several studies have recognized that depression is a multidimensional construct, although the scales that are currently available have been shown to be limited in terms of the ability to investigate the multidimensionality of depression. The objective of this study is to integrate information from instruments that measure depression from different perspectives–a self-report symptomatic scale, a clinician-rated scale, and a clinician-rated scale of depressive signs–in order to investigate the multiple dimensions underlying the depressive construct. Methods A sample of 399 patients from a mood disorders outpatient unit was investigated with the Beck Depression Inventory (BDI), the Hamilton Depression Rating Scale (HDRS), and the Core Assessment of Psychomotor Change (CORE). Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were used to investigate underlying dimensions of depression, including item level analysis with factor loadings and item thresholds. Results A solution of six depression dimensions has shown good-fit to the data, with no cross-loading items, and good interpretability. Item-level analysis revealed that the multidimensional depressive construct might be organized into a continuum of severity in the following ascending order: sexual, cognitive, insomnia, appetite, non-interactiveness/motor retardation, and agitation.Conclusion An integration of both signs and symptoms, as well as the perspectives of clinicians and patients, might be a good clinical and research alternative for the investigation ofmultidimensional issues within the depressive syndrome. As predicted by theoretical models of depression, the melancholic aspects of depression (non-interactiveness/motor retardation and agitation) lie at the severe end of the depressive continuum.
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spelling Vares, Edgar ArruaSalum Junior, Giovanni AbrahãoSpanemberg, LucasCaldieraro, Marco Antonio KnobFleck, Marcelo Pio de Almeida2019-10-12T03:55:50Z20151932-6203http://hdl.handle.net/10183/200722000999308Background Several studies have recognized that depression is a multidimensional construct, although the scales that are currently available have been shown to be limited in terms of the ability to investigate the multidimensionality of depression. The objective of this study is to integrate information from instruments that measure depression from different perspectives–a self-report symptomatic scale, a clinician-rated scale, and a clinician-rated scale of depressive signs–in order to investigate the multiple dimensions underlying the depressive construct. Methods A sample of 399 patients from a mood disorders outpatient unit was investigated with the Beck Depression Inventory (BDI), the Hamilton Depression Rating Scale (HDRS), and the Core Assessment of Psychomotor Change (CORE). Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were used to investigate underlying dimensions of depression, including item level analysis with factor loadings and item thresholds. Results A solution of six depression dimensions has shown good-fit to the data, with no cross-loading items, and good interpretability. Item-level analysis revealed that the multidimensional depressive construct might be organized into a continuum of severity in the following ascending order: sexual, cognitive, insomnia, appetite, non-interactiveness/motor retardation, and agitation.Conclusion An integration of both signs and symptoms, as well as the perspectives of clinicians and patients, might be a good clinical and research alternative for the investigation ofmultidimensional issues within the depressive syndrome. As predicted by theoretical models of depression, the melancholic aspects of depression (non-interactiveness/motor retardation and agitation) lie at the severe end of the depressive continuum.application/pdfengPLOS ONE. San Francisco. Vol. 10, no. 8 (Aug. 2015), e0136037, 15 p.DepressãoPsicologiaAnálise fatorialMeia-idadeMasculinoFemininoTranstornos do humorInventário de personalidadeEscalas de graduação psiquiátricaDepression dimensions : integrating clinical signs and symptoms from the perspectives of clinicians and patientsEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT000999308.pdf.txt000999308.pdf.txtExtracted Texttext/plain53093http://www.lume.ufrgs.br/bitstream/10183/200722/2/000999308.pdf.txt39cf2e2b9dcc7a0c7d7e5ef6b234eff9MD52ORIGINAL000999308.pdfTexto completo (inglês)application/pdf266134http://www.lume.ufrgs.br/bitstream/10183/200722/1/000999308.pdfd52c4c83ed8980e01211074a5da9caecMD5110183/2007222019-10-13 03:51:12.669319oai:www.lume.ufrgs.br:10183/200722Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2019-10-13T06:51:12Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Depression dimensions : integrating clinical signs and symptoms from the perspectives of clinicians and patients
title Depression dimensions : integrating clinical signs and symptoms from the perspectives of clinicians and patients
spellingShingle Depression dimensions : integrating clinical signs and symptoms from the perspectives of clinicians and patients
Vares, Edgar Arrua
Depressão
Psicologia
Análise fatorial
Meia-idade
Masculino
Feminino
Transtornos do humor
Inventário de personalidade
Escalas de graduação psiquiátrica
title_short Depression dimensions : integrating clinical signs and symptoms from the perspectives of clinicians and patients
title_full Depression dimensions : integrating clinical signs and symptoms from the perspectives of clinicians and patients
title_fullStr Depression dimensions : integrating clinical signs and symptoms from the perspectives of clinicians and patients
title_full_unstemmed Depression dimensions : integrating clinical signs and symptoms from the perspectives of clinicians and patients
title_sort Depression dimensions : integrating clinical signs and symptoms from the perspectives of clinicians and patients
author Vares, Edgar Arrua
author_facet Vares, Edgar Arrua
Salum Junior, Giovanni Abrahão
Spanemberg, Lucas
Caldieraro, Marco Antonio Knob
Fleck, Marcelo Pio de Almeida
author_role author
author2 Salum Junior, Giovanni Abrahão
Spanemberg, Lucas
Caldieraro, Marco Antonio Knob
Fleck, Marcelo Pio de Almeida
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Vares, Edgar Arrua
Salum Junior, Giovanni Abrahão
Spanemberg, Lucas
Caldieraro, Marco Antonio Knob
Fleck, Marcelo Pio de Almeida
dc.subject.por.fl_str_mv Depressão
Psicologia
Análise fatorial
Meia-idade
Masculino
Feminino
Transtornos do humor
Inventário de personalidade
Escalas de graduação psiquiátrica
topic Depressão
Psicologia
Análise fatorial
Meia-idade
Masculino
Feminino
Transtornos do humor
Inventário de personalidade
Escalas de graduação psiquiátrica
description Background Several studies have recognized that depression is a multidimensional construct, although the scales that are currently available have been shown to be limited in terms of the ability to investigate the multidimensionality of depression. The objective of this study is to integrate information from instruments that measure depression from different perspectives–a self-report symptomatic scale, a clinician-rated scale, and a clinician-rated scale of depressive signs–in order to investigate the multiple dimensions underlying the depressive construct. Methods A sample of 399 patients from a mood disorders outpatient unit was investigated with the Beck Depression Inventory (BDI), the Hamilton Depression Rating Scale (HDRS), and the Core Assessment of Psychomotor Change (CORE). Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were used to investigate underlying dimensions of depression, including item level analysis with factor loadings and item thresholds. Results A solution of six depression dimensions has shown good-fit to the data, with no cross-loading items, and good interpretability. Item-level analysis revealed that the multidimensional depressive construct might be organized into a continuum of severity in the following ascending order: sexual, cognitive, insomnia, appetite, non-interactiveness/motor retardation, and agitation.Conclusion An integration of both signs and symptoms, as well as the perspectives of clinicians and patients, might be a good clinical and research alternative for the investigation ofmultidimensional issues within the depressive syndrome. As predicted by theoretical models of depression, the melancholic aspects of depression (non-interactiveness/motor retardation and agitation) lie at the severe end of the depressive continuum.
publishDate 2015
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dc.relation.ispartof.pt_BR.fl_str_mv PLOS ONE. San Francisco. Vol. 10, no. 8 (Aug. 2015), e0136037, 15 p.
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