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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2020
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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 |
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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 |
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