Anxiety, Depression and Anger: Application of a Bifactor Model to Identify Common Symptoms

Autores
García Batista, Zoilo Emilio; Guerra Peña, Kiero; Flores Kanter, Pablo Ezequiel; Moretti, Luciana Sofía; Medrano, Leonardo Adrián
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Anger manifestations, depression and anxiety are strongly related to individual´s discomfort and well-being. The aim of the present study is to investigate the fit of a bifactor model applied on emotional disposition measures emphasizing the specification of a general factor through the identification of specific responses or indicators that can account for the communality between depression, anxiety and anger. The results obtained show two large groups of indicators that would be common in these affective disposition types: affective and cognitive responses. On the one hand, affective responses include agitation, irritability, and tension or nervousness. On the other hand, cognitive symptoms are linked to the presence of repetitive worrying and uncontrollable thoughts. In this way, it is possible to identify a general stress response in this group of indicators.
Fil: García Batista, Zoilo Emilio. Pontificia Universidad Católica Madre y Maestra; República Dominicana
Fil: Guerra Peña, Kiero. Pontificia Universidad Católica Madre y Maestra; República Dominicana
Fil: Flores Kanter, Pablo Ezequiel. Universidad Empresarial Siglo XXI. Vicerrectorado de Innovación e Investigación. Instituto de Organizaciones Saludables; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Moretti, Luciana Sofía. Universidad Nacional de Córdoba. Facultad de Psicología. Laboratorio de Psicología Cognitiva; Argentina. Pontificia Universidad Católica Madre y Maestra; República Dominicana. Universidad Empresarial Siglo XXI; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Medrano, Leonardo Adrián. Pontificia Universidad Católica Madre y Maestra; República Dominicana. Universidad Siglo 21; Argentina
Materia
BIFACTOR MODEL
EMOTIONAL DISPOSITION
GENERAL FACTOR SPECIFICATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/157816
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Anxiety, Depression and Anger: Application of a Bifactor Model to Identify Common SymptomsGarcía Batista, Zoilo EmilioGuerra Peña, KieroFlores Kanter, Pablo EzequielMoretti, Luciana SofíaMedrano, Leonardo AdriánBIFACTOR MODELEMOTIONAL DISPOSITIONGENERAL FACTOR SPECIFICATIONhttps://purl.org/becyt/ford/5.1https://purl.org/becyt/ford/5Anger manifestations, depression and anxiety are strongly related to individual´s discomfort and well-being. The aim of the present study is to investigate the fit of a bifactor model applied on emotional disposition measures emphasizing the specification of a general factor through the identification of specific responses or indicators that can account for the communality between depression, anxiety and anger. The results obtained show two large groups of indicators that would be common in these affective disposition types: affective and cognitive responses. On the one hand, affective responses include agitation, irritability, and tension or nervousness. On the other hand, cognitive symptoms are linked to the presence of repetitive worrying and uncontrollable thoughts. In this way, it is possible to identify a general stress response in this group of indicators.Fil: García Batista, Zoilo Emilio. Pontificia Universidad Católica Madre y Maestra; República DominicanaFil: Guerra Peña, Kiero. Pontificia Universidad Católica Madre y Maestra; República DominicanaFil: Flores Kanter, Pablo Ezequiel. Universidad Empresarial Siglo XXI. Vicerrectorado de Innovación e Investigación. Instituto de Organizaciones Saludables; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Moretti, Luciana Sofía. Universidad Nacional de Córdoba. Facultad de Psicología. Laboratorio de Psicología Cognitiva; Argentina. Pontificia Universidad Católica Madre y Maestra; República Dominicana. Universidad Empresarial Siglo XXI; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Medrano, Leonardo Adrián. Pontificia Universidad Católica Madre y Maestra; República Dominicana. Universidad Siglo 21; ArgentinaPolish Psychiatric Association2021-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/157816García Batista, Zoilo Emilio; Guerra Peña, Kiero; Flores Kanter, Pablo Ezequiel; Moretti, Luciana Sofía; Medrano, Leonardo Adrián; Anxiety, Depression and Anger: Application of a Bifactor Model to Identify Common Symptoms; Polish Psychiatric Association; Archives of Psychiatry and Psychotherapy; 23; 4; 12-2021; 7-121509-20462083-828XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.archivespp.pl/2021-23-4.htmlinfo:eu-repo/semantics/altIdentifier/doi/10.12740/APP/136354info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:36:58Zoai:ri.conicet.gov.ar:11336/157816instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:36:58.692CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Anxiety, Depression and Anger: Application of a Bifactor Model to Identify Common Symptoms
title Anxiety, Depression and Anger: Application of a Bifactor Model to Identify Common Symptoms
spellingShingle Anxiety, Depression and Anger: Application of a Bifactor Model to Identify Common Symptoms
García Batista, Zoilo Emilio
BIFACTOR MODEL
EMOTIONAL DISPOSITION
GENERAL FACTOR SPECIFICATION
title_short Anxiety, Depression and Anger: Application of a Bifactor Model to Identify Common Symptoms
title_full Anxiety, Depression and Anger: Application of a Bifactor Model to Identify Common Symptoms
title_fullStr Anxiety, Depression and Anger: Application of a Bifactor Model to Identify Common Symptoms
title_full_unstemmed Anxiety, Depression and Anger: Application of a Bifactor Model to Identify Common Symptoms
title_sort Anxiety, Depression and Anger: Application of a Bifactor Model to Identify Common Symptoms
dc.creator.none.fl_str_mv García Batista, Zoilo Emilio
Guerra Peña, Kiero
Flores Kanter, Pablo Ezequiel
Moretti, Luciana Sofía
Medrano, Leonardo Adrián
author García Batista, Zoilo Emilio
author_facet García Batista, Zoilo Emilio
Guerra Peña, Kiero
Flores Kanter, Pablo Ezequiel
Moretti, Luciana Sofía
Medrano, Leonardo Adrián
author_role author
author2 Guerra Peña, Kiero
Flores Kanter, Pablo Ezequiel
Moretti, Luciana Sofía
Medrano, Leonardo Adrián
author2_role author
author
author
author
dc.subject.none.fl_str_mv BIFACTOR MODEL
EMOTIONAL DISPOSITION
GENERAL FACTOR SPECIFICATION
topic BIFACTOR MODEL
EMOTIONAL DISPOSITION
GENERAL FACTOR SPECIFICATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.1
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv Anger manifestations, depression and anxiety are strongly related to individual´s discomfort and well-being. The aim of the present study is to investigate the fit of a bifactor model applied on emotional disposition measures emphasizing the specification of a general factor through the identification of specific responses or indicators that can account for the communality between depression, anxiety and anger. The results obtained show two large groups of indicators that would be common in these affective disposition types: affective and cognitive responses. On the one hand, affective responses include agitation, irritability, and tension or nervousness. On the other hand, cognitive symptoms are linked to the presence of repetitive worrying and uncontrollable thoughts. In this way, it is possible to identify a general stress response in this group of indicators.
Fil: García Batista, Zoilo Emilio. Pontificia Universidad Católica Madre y Maestra; República Dominicana
Fil: Guerra Peña, Kiero. Pontificia Universidad Católica Madre y Maestra; República Dominicana
Fil: Flores Kanter, Pablo Ezequiel. Universidad Empresarial Siglo XXI. Vicerrectorado de Innovación e Investigación. Instituto de Organizaciones Saludables; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Moretti, Luciana Sofía. Universidad Nacional de Córdoba. Facultad de Psicología. Laboratorio de Psicología Cognitiva; Argentina. Pontificia Universidad Católica Madre y Maestra; República Dominicana. Universidad Empresarial Siglo XXI; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Medrano, Leonardo Adrián. Pontificia Universidad Católica Madre y Maestra; República Dominicana. Universidad Siglo 21; Argentina
description Anger manifestations, depression and anxiety are strongly related to individual´s discomfort and well-being. The aim of the present study is to investigate the fit of a bifactor model applied on emotional disposition measures emphasizing the specification of a general factor through the identification of specific responses or indicators that can account for the communality between depression, anxiety and anger. The results obtained show two large groups of indicators that would be common in these affective disposition types: affective and cognitive responses. On the one hand, affective responses include agitation, irritability, and tension or nervousness. On the other hand, cognitive symptoms are linked to the presence of repetitive worrying and uncontrollable thoughts. In this way, it is possible to identify a general stress response in this group of indicators.
publishDate 2021
dc.date.none.fl_str_mv 2021-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/157816
García Batista, Zoilo Emilio; Guerra Peña, Kiero; Flores Kanter, Pablo Ezequiel; Moretti, Luciana Sofía; Medrano, Leonardo Adrián; Anxiety, Depression and Anger: Application of a Bifactor Model to Identify Common Symptoms; Polish Psychiatric Association; Archives of Psychiatry and Psychotherapy; 23; 4; 12-2021; 7-12
1509-2046
2083-828X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/157816
identifier_str_mv García Batista, Zoilo Emilio; Guerra Peña, Kiero; Flores Kanter, Pablo Ezequiel; Moretti, Luciana Sofía; Medrano, Leonardo Adrián; Anxiety, Depression and Anger: Application of a Bifactor Model to Identify Common Symptoms; Polish Psychiatric Association; Archives of Psychiatry and Psychotherapy; 23; 4; 12-2021; 7-12
1509-2046
2083-828X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.archivespp.pl/2021-23-4.html
info:eu-repo/semantics/altIdentifier/doi/10.12740/APP/136354
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Polish Psychiatric Association
publisher.none.fl_str_mv Polish Psychiatric Association
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844613162807066624
score 13.070432

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