Depression dimensions : integrating clinical signs and symptoms from the perspectives of clinicians and patients
Autor(a) principal: | |
---|---|
Data de Publicação: | 2015 |
Outros Autores: | , , , |
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. |
id |
UFRGS-2_71104166c63478738d8c9084eaf55d7f |
---|---|
oai_identifier_str |
oai:www.lume.ufrgs.br:10183/200722 |
network_acronym_str |
UFRGS-2 |
network_name_str |
Repositório Institucional da UFRGS |
repository_id_str |
|
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 |
dc.date.issued.fl_str_mv |
2015 |
dc.date.accessioned.fl_str_mv |
2019-10-12T03:55:50Z |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/200722 |
dc.identifier.issn.pt_BR.fl_str_mv |
1932-6203 |
dc.identifier.nrb.pt_BR.fl_str_mv |
000999308 |
identifier_str_mv |
1932-6203 000999308 |
url |
http://hdl.handle.net/10183/200722 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
PLOS ONE. San Francisco. Vol. 10, no. 8 (Aug. 2015), e0136037, 15 p. |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRGS instname:Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
instname_str |
Universidade Federal do Rio Grande do Sul (UFRGS) |
instacron_str |
UFRGS |
institution |
UFRGS |
reponame_str |
Repositório Institucional da UFRGS |
collection |
Repositório Institucional da UFRGS |
bitstream.url.fl_str_mv |
http://www.lume.ufrgs.br/bitstream/10183/200722/2/000999308.pdf.txt http://www.lume.ufrgs.br/bitstream/10183/200722/1/000999308.pdf |
bitstream.checksum.fl_str_mv |
39cf2e2b9dcc7a0c7d7e5ef6b234eff9 d52c4c83ed8980e01211074a5da9caec |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS) |
repository.mail.fl_str_mv |
|
_version_ |
1801224976881156096 |