Evidence map›Paper›PMID 32799107›Full record

ArticleJournal of affective disorders2020

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

Rodrigo S Fernández, Lucia Crivelli, Nahuel Magrath Guimet, Ricardo F Allegri, Maria E Pedreira

Open access · greenAbstract read
In one paragraph

Article in Journal of affective disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
128citing papers in PubMed, 3 pooled it
17.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

128 citing papers in PubMed, 3 syntheses or guidelines pooled it, 256 citations in OpenAlex.

  1. Pooled it
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  3. Prevalence of anxiety in the COVID-19 pandemic: An updated meta-analysis of community-based studies.Progress in neuro-psychopharmacology & biological psychiatry · 2021
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68 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Rodrigo S FernándezInstituto 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.
Lucia CrivelliDepartment of Cognitive Neurology, Neuropsychiatry and Neuropsychology, Fleni, Buenos Aires, Argentina.
Nahuel Magrath GuimetDepartment of Cognitive Neurology, Neuropsychiatry and Neuropsychology, Fleni, Buenos Aires, Argentina.
Ricardo F AllegriDepartment of Cognitive Neurology, Neuropsychiatry and Neuropsychology, Fleni, Buenos Aires, Argentina.
Maria E PedreiraInstituto 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.
Instituto de Neurología Cognitiva · ARConsejo Nacional de Investigaciones Científicas y Técnicas · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMental 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.

methodsOnline 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).

resultsThree 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.

conclusionsQuarantine 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.

Indexed as

Psychological DistressAdaptation, PsychologicalAdolescentAdultAgedAged, 80 and overAnxietyArgentinaBetacoronavirusCoronavirus InfectionsCOVID-19Cross-Sectional StudiesDepressionExerciseFearFemaleCOVID-19Latent profile analysisMental HealthPsychological distressQuarantine

Identifiers

PMID32799107
PMCPMC7413121
OpenAlexW3047761591

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.