Cargando…

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

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, explo...

Descripción completa

Detalles Bibliográficos
Autores principales: Fernández, Rodrigo S., Crivelli, Lucia, Guimet, Nahuel Magrath, Allegri, Ricardo F., Pedreira, Maria E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7413121/
https://www.ncbi.nlm.nih.gov/pubmed/32799107
http://dx.doi.org/10.1016/j.jad.2020.07.133
_version_ 1783568742922321920
author Fernández, Rodrigo S.
Crivelli, Lucia
Guimet, Nahuel Magrath
Allegri, Ricardo F.
Pedreira, Maria E.
author_facet Fernández, Rodrigo S.
Crivelli, Lucia
Guimet, Nahuel Magrath
Allegri, Ricardo F.
Pedreira, Maria E.
author_sort Fernández, Rodrigo S.
collection PubMed
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.
format Online
Article
Text
id pubmed-7413121
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Elsevier B.V.
record_format MEDLINE/PubMed
spelling pubmed-74131212020-08-10 Psychological distress associated with COVID-19 quarantine: Latent profile analysis, outcome prediction and mediation analysis Fernández, Rodrigo S. Crivelli, Lucia Guimet, Nahuel Magrath Allegri, Ricardo F. Pedreira, Maria E. J Affect Disord Research Paper 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. Elsevier B.V. 2020-12-01 2020-08-07 /pmc/articles/PMC7413121/ /pubmed/32799107 http://dx.doi.org/10.1016/j.jad.2020.07.133 Text en © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Research Paper
Fernández, Rodrigo S.
Crivelli, Lucia
Guimet, Nahuel Magrath
Allegri, Ricardo F.
Pedreira, Maria E.
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
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_short 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
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7413121/
https://www.ncbi.nlm.nih.gov/pubmed/32799107
http://dx.doi.org/10.1016/j.jad.2020.07.133
work_keys_str_mv AT fernandezrodrigos psychologicaldistressassociatedwithcovid19quarantinelatentprofileanalysisoutcomepredictionandmediationanalysis
AT crivellilucia psychologicaldistressassociatedwithcovid19quarantinelatentprofileanalysisoutcomepredictionandmediationanalysis
AT guimetnahuelmagrath psychologicaldistressassociatedwithcovid19quarantinelatentprofileanalysisoutcomepredictionandmediationanalysis
AT allegriricardof psychologicaldistressassociatedwithcovid19quarantinelatentprofileanalysisoutcomepredictionandmediationanalysis
AT pedreiramariae psychologicaldistressassociatedwithcovid19quarantinelatentprofileanalysisoutcomepredictionandmediationanalysis