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

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dc.contributor.author Fernández, Rodrigo Sebastián
dc.contributor.author Crivelli, Lucía
dc.contributor.author Magrath Guimet, Nahuel
dc.contributor.author Allegri, Ricardo Francisco
dc.contributor.author Pedreira, María Eugenia
dc.date.accessioned 2021-04-19T14:05:59Z
dc.date.available 2021-04-19T14:05:59Z
dc.date.issued 2020-12-01
dc.identifier.citation Fernández, R.S., Crivelli, L., Guimet, N.M., Allegri, R.F., Pedreira, M.E., 2020. Psychological distress associated with COVID-19 quarantine: Latent profile analysis, outcome prediction and mediation analysis. Journal of Affective Disorders 277, 75–84. es_ES
dc.identifier.uri https://repositorio.fleni.org.ar/xmlui/handle/123456789/414
dc.identifier.uri https://doi.org/10.1016/j.jad.2020.07.133
dc.description.abstract 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. es_ES
dc.language.iso eng es_ES
dc.publisher Elsevier es_ES
dc.rights info:eu-repo/semantics/openAccess
dc.rights.uri https://creativecommons.org/licenses/by/2.5/ar/
dc.subject Coronavirus Infections es_ES
dc.subject Infecciones por Coronavirus es_ES
dc.subject Psychological Distress es_ES
dc.subject Distrés Psicológico es_ES
dc.subject Quarantine es_ES
dc.subject Cuarentena es_ES
dc.title Psychological distress associated with COVID-19 quarantine: Latent profile analysis, outcome prediction and mediation analysis es_ES
dc.type info:eu-repo/semantics/article es_ES
dc.type info:eu-repo/semantics/publishedVersion
dc.description.fil Fil: Crivelli, Lucía. Fleni. Departamento de Neurología. Servicio de Neurología Cognitiva, Neuropsicología y Neuropsiquiatría; Argentina.
dc.description.fil Fil: Fernández, Rodrigo Sebastián. Instituto de Fisiología, Biología Molecular y Neurociencias (IFIBYNE- CONICET); Argentina. Universidad de Buenos Aires.Facultad de Ciencias Exactas y Naturales; Argentina.
dc.description.fil Fil: Magrath Guimet, Nahuel. Fleni. Departamento de Neurología. Servicio de Neurología Cognitiva, Neuropsicología y Neuropsiquiatría; Argentina.
dc.description.fil Fil: Allegri, Ricardo Francisco. Fleni. Departamento de Neurología. Servicio de Neurología Cognitiva, Neuropsicología y Neuropsiquiatría; Argentina.
dc.description.fil Fil: Pedreira, María E. Instituto de Fisiología, Biología Molecular y Neurociencias (IFIBYNE- CONICET); Argentina. Universidad de Buenos Aires.Facultad de Ciencias Exactas y Naturales; Argentina.
dc.relation.ispartofVOLUME 277
dc.relation.ispartofPAGINATION 75-84
dc.relation.ispartofCOUNTRY Países bajos
dc.relation.ispartofCITY Amsterdam
dc.relation.ispartofTITLE Journal of affective disorders
dc.relation.ispartofISSN 1573-2517
dc.type.snrd info:ar-repo/semantics/artículo es_ES


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