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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.
  • Fernández RS; Instituto de Fisiología, Biología Molecular y Neurociencias (IFIBYNE- CONICET), Ciudad de Buenos Aires, Argentina; Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad de Buenos Aires, Buenos Aires, Argentina. Electronic address: rodrigofernandez@fbmc.fcen.uba.ar.
  • Crivelli L; Department of Cognitive Neurology, Neuropsychiatry and Neuropsychology, Fleni, Buenos Aires, Argentina.
  • Guimet NM; Department of Cognitive Neurology, Neuropsychiatry and Neuropsychology, Fleni, Buenos Aires, Argentina.
  • Allegri RF; Department of Cognitive Neurology, Neuropsychiatry and Neuropsychology, Fleni, Buenos Aires, Argentina.
  • Pedreira ME; Instituto de Fisiología, Biología Molecular y Neurociencias (IFIBYNE- CONICET), Ciudad de Buenos Aires, Argentina; Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad de Buenos Aires, Buenos Aires, Argentina.
J Affect Disord ; 277: 75-84, 2020 12 01.
Article in English | MEDLINE | ID: covidwho-695635
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Anxiety / Quarantine / Depression / Psychological Distress Type of study: Etiology study / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Country/Region as subject: South America / Argentina Language: English Journal: J Affect Disord Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Anxiety / Quarantine / Depression / Psychological Distress Type of study: Etiology study / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Country/Region as subject: South America / Argentina Language: English Journal: J Affect Disord Year: 2020 Document Type: Article