Evidence map›Paper›PMID 38068796›Full record

ArticleNutrients2023

Relationship between Fear of COVID-19, Intolerance of Uncertainty, and Coping Strategies on University Students' Mental Health.

Elodie Charbonnier, Lucile Montalescot, Cécile Puechlong, Aurélie Goncalves, Sarah Le Vigouroux

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  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

5 authors at 1 institution in 1 country.

Elodie CharbonnierUNIV. NIMES, APSY-V, F-30021 Nîmes Cedex 1, France.ORCID 0000-0002-0225-9564
Lucile MontalescotUNIV. NIMES, APSY-V, F-30021 Nîmes Cedex 1, France.
Cécile PuechlongUNIV. NIMES, APSY-V, F-30021 Nîmes Cedex 1, France.
Aurélie GoncalvesUNIV. NIMES, APSY-V, F-30021 Nîmes Cedex 1, France.ORCID 0000-0003-0843-4578
Sarah Le VigourouxUNIV. NIMES, APSY-V, F-30021 Nîmes Cedex 1, France.ORCID 0000-0002-6655-7376
Université de Nîmes · FR

Funding

Agence Nationale de la Recherche COV'Etu - ANR-21-COVR-0005
6 · The paper itself

Abstract

backgroundthe mental health of students was particularly affected by the COVID-19 pandemic. The present study therefore examined the relationships between anxiety and depressive symptoms, eating-related problems, coping, fear of COVID-19, and intolerance of uncertainty.

methods2139 French students of 54 universities were recruited in the different regions of France during a French lockdown (between 21 April and 3 May 2021). Six variables were measured: fear of COVID-19, intolerance of uncertainty, coping, anxiety and depressive symptoms, and eating-related problems. To explore the directions of the relationships between our variables of interest, we calculated a directed acyclic graph.

resultsour data highlighted the central roles of intolerance of uncertainty in students' anxiety and depressive symptoms, and the direct role of prospective intolerance of uncertainty on eating-related problems.

conclusionsthese findings indicate that intolerance of uncertainty should be targeted by interventions designed to help students with high levels of anxiety, depressive symptoms, and/or eating-related problems.

Indexed as

COVID-19AnxietyCommunicable Disease ControlDepressionFearHumansMental HealthPandemicsProspective StudiesStudentsUncertaintyUniversitiesanxietydepressioneating disorderinhibitoryintolerance of uncertaintyprospective

Identifiers

PMID38068796
PMCPMC10708531
OpenAlexW4389099934

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.