Psychological distress associated with COVID-19 quarantine: Latent profile analysis, outcome prediction and mediation analysis

Autores
Fernández, Rodrigo Sebastián; Crivelli, Lucía; Guimet, Nahuel Magrath; Allegri, Ricardo Francisco; Pedreira, Maria Eugenia
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Background Mental health of the population during COVID-19 quarantine could be at risk. Previous studies in short quarantines, found mood-related and anxiety symptomatology. Here we aimed to characterize the subtypes of psychological distress associated with quarantine, assess its prevalence, explore risk/protective factors, and possible mechanisms. Methods Online cross-sectional data (n = 4408) was collected during the Argentine quarantine, between 1st-17th April 2020 along a small replication study (n = 644). Psychological distress clusters were determined using latent profile analysis on a wide-range of symptoms using the complete Brief-Symptom Inventory-53. Multinomial and Elastic-net regression were performed to identify risk/protective factors among trait-measures (Personality and Resilience) and state-measures (COVID-19 related fear and coping-skills). Results Three latent-classes defined by symptom severity level were identified. The majority of individuals were classified in the mild (40.9%) and severe classes (41.0%). Participants reported elevated symptoms of Phobic-Anxiety (41.3%), Anxiety (31.8%), Depression (27.5%), General-Distress (27.1%), Obsession-Compulsion (25.1%) and Hostility (13.7%). Logistic-regressions analyses mainly revealed that women, young individuals, having a previous psychiatric diagnosis or trauma, having high levels of trait-neuroticism and COVID-related fear, were those at greater risk of psychological distress. In contrast, adults, being married, exercising, having upper-class income, having high levels of trait-resilience and coping-skills, were the most protected. Mediation analysis, showed that state-measures mediated the association between trait-measures and class-membership. Conclusions Quarantine was associated intense psychological distress. Attention should be given to COVID-19-related fear and coping-skills as they act as potential mediators in emotional suffering during quarantine.
Fil: Fernández, Rodrigo Sebastián. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina
Fil: Crivelli, Lucía. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Guimet, Nahuel Magrath. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Allegri, Ricardo Francisco. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Pedreira, Maria Eugenia. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina
Materia
COVID-19
LATENT PROFILE ANALYSIS
MENTAL HEALTH
PSYCHOLOGICAL DISTRESS
QUARANTINE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/112356
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Psychological distress associated with COVID-19 quarantine: Latent profile analysis, outcome prediction and mediation analysisFernández, Rodrigo SebastiánCrivelli, LucíaGuimet, Nahuel MagrathAllegri, Ricardo FranciscoPedreira, Maria EugeniaCOVID-19LATENT PROFILE ANALYSISMENTAL HEALTHPSYCHOLOGICAL DISTRESSQUARANTINEhttps://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3Background Mental health of the population during COVID-19 quarantine could be at risk. Previous studies in short quarantines, found mood-related and anxiety symptomatology. Here we aimed to characterize the subtypes of psychological distress associated with quarantine, assess its prevalence, explore risk/protective factors, and possible mechanisms. Methods Online cross-sectional data (n = 4408) was collected during the Argentine quarantine, between 1st-17th April 2020 along a small replication study (n = 644). Psychological distress clusters were determined using latent profile analysis on a wide-range of symptoms using the complete Brief-Symptom Inventory-53. Multinomial and Elastic-net regression were performed to identify risk/protective factors among trait-measures (Personality and Resilience) and state-measures (COVID-19 related fear and coping-skills). Results Three latent-classes defined by symptom severity level were identified. The majority of individuals were classified in the mild (40.9%) and severe classes (41.0%). Participants reported elevated symptoms of Phobic-Anxiety (41.3%), Anxiety (31.8%), Depression (27.5%), General-Distress (27.1%), Obsession-Compulsion (25.1%) and Hostility (13.7%). Logistic-regressions analyses mainly revealed that women, young individuals, having a previous psychiatric diagnosis or trauma, having high levels of trait-neuroticism and COVID-related fear, were those at greater risk of psychological distress. In contrast, adults, being married, exercising, having upper-class income, having high levels of trait-resilience and coping-skills, were the most protected. Mediation analysis, showed that state-measures mediated the association between trait-measures and class-membership. Conclusions Quarantine was associated intense psychological distress. Attention should be given to COVID-19-related fear and coping-skills as they act as potential mediators in emotional suffering during quarantine.Fil: Fernández, Rodrigo Sebastián. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; ArgentinaFil: Crivelli, Lucía. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; ArgentinaFil: Guimet, Nahuel Magrath. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; ArgentinaFil: Allegri, Ricardo Francisco. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Pedreira, Maria Eugenia. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; ArgentinaElsevier Science2020-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/112356Fernández, Rodrigo Sebastián; Crivelli, Lucía; Guimet, Nahuel Magrath; Allegri, Ricardo Francisco; Pedreira, Maria Eugenia; Psychological distress associated with COVID-19 quarantine: Latent profile analysis, outcome prediction and mediation analysis; Elsevier Science; Journal of Affective Disorders; 277; 12-2020; 75-840165-0327CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0165032720325866info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jad.2020.07.133info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:04:21Zoai:ri.conicet.gov.ar:11336/112356instacron: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:34982025-09-03 10:04:21.71CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Psychological distress associated with COVID-19 quarantine: Latent profile analysis, outcome prediction and mediation analysis
title Psychological distress associated with COVID-19 quarantine: Latent profile analysis, outcome prediction and mediation analysis
spellingShingle Psychological distress associated with COVID-19 quarantine: Latent profile analysis, outcome prediction and mediation analysis
Fernández, Rodrigo Sebastián
COVID-19
LATENT PROFILE ANALYSIS
MENTAL HEALTH
PSYCHOLOGICAL DISTRESS
QUARANTINE
title_short Psychological distress associated with COVID-19 quarantine: Latent profile analysis, outcome prediction and mediation analysis
title_full Psychological distress associated with COVID-19 quarantine: Latent profile analysis, outcome prediction and mediation analysis
title_fullStr Psychological distress associated with COVID-19 quarantine: Latent profile analysis, outcome prediction and mediation analysis
title_full_unstemmed Psychological distress associated with COVID-19 quarantine: Latent profile analysis, outcome prediction and mediation analysis
title_sort Psychological distress associated with COVID-19 quarantine: Latent profile analysis, outcome prediction and mediation analysis
dc.creator.none.fl_str_mv Fernández, Rodrigo Sebastián
Crivelli, Lucía
Guimet, Nahuel Magrath
Allegri, Ricardo Francisco
Pedreira, Maria Eugenia
author Fernández, Rodrigo Sebastián
author_facet Fernández, Rodrigo Sebastián
Crivelli, Lucía
Guimet, Nahuel Magrath
Allegri, Ricardo Francisco
Pedreira, Maria Eugenia
author_role author
author2 Crivelli, Lucía
Guimet, Nahuel Magrath
Allegri, Ricardo Francisco
Pedreira, Maria Eugenia
author2_role author
author
author
author
dc.subject.none.fl_str_mv COVID-19
LATENT PROFILE ANALYSIS
MENTAL HEALTH
PSYCHOLOGICAL DISTRESS
QUARANTINE
topic COVID-19
LATENT PROFILE ANALYSIS
MENTAL HEALTH
PSYCHOLOGICAL DISTRESS
QUARANTINE
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.2
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Background Mental health of the population during COVID-19 quarantine could be at risk. Previous studies in short quarantines, found mood-related and anxiety symptomatology. Here we aimed to characterize the subtypes of psychological distress associated with quarantine, assess its prevalence, explore risk/protective factors, and possible mechanisms. Methods Online cross-sectional data (n = 4408) was collected during the Argentine quarantine, between 1st-17th April 2020 along a small replication study (n = 644). Psychological distress clusters were determined using latent profile analysis on a wide-range of symptoms using the complete Brief-Symptom Inventory-53. Multinomial and Elastic-net regression were performed to identify risk/protective factors among trait-measures (Personality and Resilience) and state-measures (COVID-19 related fear and coping-skills). Results Three latent-classes defined by symptom severity level were identified. The majority of individuals were classified in the mild (40.9%) and severe classes (41.0%). Participants reported elevated symptoms of Phobic-Anxiety (41.3%), Anxiety (31.8%), Depression (27.5%), General-Distress (27.1%), Obsession-Compulsion (25.1%) and Hostility (13.7%). Logistic-regressions analyses mainly revealed that women, young individuals, having a previous psychiatric diagnosis or trauma, having high levels of trait-neuroticism and COVID-related fear, were those at greater risk of psychological distress. In contrast, adults, being married, exercising, having upper-class income, having high levels of trait-resilience and coping-skills, were the most protected. Mediation analysis, showed that state-measures mediated the association between trait-measures and class-membership. Conclusions Quarantine was associated intense psychological distress. Attention should be given to COVID-19-related fear and coping-skills as they act as potential mediators in emotional suffering during quarantine.
Fil: Fernández, Rodrigo Sebastián. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina
Fil: Crivelli, Lucía. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Guimet, Nahuel Magrath. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Allegri, Ricardo Francisco. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Pedreira, Maria Eugenia. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina
description Background Mental health of the population during COVID-19 quarantine could be at risk. Previous studies in short quarantines, found mood-related and anxiety symptomatology. Here we aimed to characterize the subtypes of psychological distress associated with quarantine, assess its prevalence, explore risk/protective factors, and possible mechanisms. Methods Online cross-sectional data (n = 4408) was collected during the Argentine quarantine, between 1st-17th April 2020 along a small replication study (n = 644). Psychological distress clusters were determined using latent profile analysis on a wide-range of symptoms using the complete Brief-Symptom Inventory-53. Multinomial and Elastic-net regression were performed to identify risk/protective factors among trait-measures (Personality and Resilience) and state-measures (COVID-19 related fear and coping-skills). Results Three latent-classes defined by symptom severity level were identified. The majority of individuals were classified in the mild (40.9%) and severe classes (41.0%). Participants reported elevated symptoms of Phobic-Anxiety (41.3%), Anxiety (31.8%), Depression (27.5%), General-Distress (27.1%), Obsession-Compulsion (25.1%) and Hostility (13.7%). Logistic-regressions analyses mainly revealed that women, young individuals, having a previous psychiatric diagnosis or trauma, having high levels of trait-neuroticism and COVID-related fear, were those at greater risk of psychological distress. In contrast, adults, being married, exercising, having upper-class income, having high levels of trait-resilience and coping-skills, were the most protected. Mediation analysis, showed that state-measures mediated the association between trait-measures and class-membership. Conclusions Quarantine was associated intense psychological distress. Attention should be given to COVID-19-related fear and coping-skills as they act as potential mediators in emotional suffering during quarantine.
publishDate 2020
dc.date.none.fl_str_mv 2020-12
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/11336/112356
Fernández, Rodrigo Sebastián; Crivelli, Lucía; Guimet, Nahuel Magrath; Allegri, Ricardo Francisco; Pedreira, Maria Eugenia; Psychological distress associated with COVID-19 quarantine: Latent profile analysis, outcome prediction and mediation analysis; Elsevier Science; Journal of Affective Disorders; 277; 12-2020; 75-84
0165-0327
CONICET Digital
CONICET
url http://hdl.handle.net/11336/112356
identifier_str_mv Fernández, Rodrigo Sebastián; Crivelli, Lucía; Guimet, Nahuel Magrath; Allegri, Ricardo Francisco; Pedreira, Maria Eugenia; Psychological distress associated with COVID-19 quarantine: Latent profile analysis, outcome prediction and mediation analysis; Elsevier Science; Journal of Affective Disorders; 277; 12-2020; 75-84
0165-0327
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.sciencedirect.com/science/article/pii/S0165032720325866
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jad.2020.07.133
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
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dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
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
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