Evidence map›Paper›PMID 35273746›Full record

ArticleSleep science (Sao Paulo, Brazil)

Early impact on sleep and mental health during the mandatory social isolation of COVID-19 outbreak: an obser vational cross-sectional study carried out in Argentina.

Stella Maris Valiensi, Agustín L Folgueira, Arturo Garay

Abstract read
In one paragraph

Article in Sleep science (Sao Paulo, Brazil). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

3 authors.

Stella Maris ValiensiHospital Italiano, Buenos Aires, Argentina, Neurology-Sleep Medicine - Ciudad de Buenos Aires - Please select an option below - Argentina.
Agustín L FolgueiraHospital Italiano, Buenos Aires, Argentina, Neurology-Sleep Medicine - Ciudad de Buenos Aires - Please select an option below - Argentina.
Arturo GarayCentro de Educación Médica e Investigaciones Clínicas "Norberto Quirno" (CEMIC), Neurology- Sleep Medicine - Ciudad de Buenos Aires - Please select an option below - Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The mandatory social isolation (MSI) due to the pandemic caused by COVID-19 in the world produced many changes in sleep and different areas of mental health. Objectives: To evaluate the early effects of MSI on sleep, anxiety, and depression in Argentina. Material and Methods: An anonymous observational cross-sectional web-based study was distributed throughout the country and was completed by 2,594 respondents to analyze demographic information, quality of sleep, REM sleep-related events, depressive, and anxiety symptoms. Results: The study revealed that 53, 21, 22, 23, and 16% of people surveyed were poor sleepers, had dream-related behaviors, nightmares, depression, and anxiety symptoms, respectively. Multivariate logistic regression showed a positive correlation between anxiety, being a poor sleeper, and having nightmares. Conclusion: We identified the early effects of MSI on sleep quality, dreaming activity, anxiety, and depression in Argentina during the COVID-19 outbreak. Our findings can be used to formulate sleep and psychological interventions to improve mental health during the pandemic and post-pandemic times.

Indexed as

Anxiety DisordersCoronavirus InfectionsDepressionREM Sleep ParasomniasSleepSocial Isolation

Identifiers

PMID35273746
PMCPMC8889986

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.