Evidence map›Paper›PMID 33613333›Full record

ArticleFrontiers in psychiatry2020

The Relationship Between Mental Toughness, Job Loss, and Mental Health Issues During the COVID-19 Pandemic.

Dara Mojtahedi, Neil Dagnall, Andrew Denovan, Peter Clough, Sophie Hull, Derry Canning, Caroline Lilley, Kostas A Papageorgiou

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 pooled it
10.4field-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

41 citing papers in PubMed, 3 syntheses or guidelines pooled it, 86 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Dara MojtahediDepartment of Psychology, Centre for Cognition and Neuroscience, University of Huddersfield, Huddersfield, United Kingdom.
Neil DagnallFaculty of Health, Psychology and Social Care, Manchester Metropolitan University, Manchester, United Kingdom.
Andrew DenovanFaculty of Health, Psychology and Social Care, Manchester Metropolitan University, Manchester, United Kingdom.
Peter CloughDepartment of Psychology, Centre for Cognition and Neuroscience, University of Huddersfield, Huddersfield, United Kingdom.
Sophie HullDepartment of Psychology, Centre for Cognition and Neuroscience, University of Huddersfield, Huddersfield, United Kingdom.
Derry CanningDepartment of Psychology, Centre for Cognition and Neuroscience, University of Huddersfield, Huddersfield, United Kingdom.
Caroline LilleyDepartment of Psychology, Centre for Cognition and Neuroscience, University of Huddersfield, Huddersfield, United Kingdom.
Kostas A PapageorgiouSchool of Psychology, Queen's University Belfast, Belfast, United Kingdom.
University of Huddersfield · GBManchester Metropolitan University · GBQueen's University Belfast · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Concerns toward public well-being and mental health are increasing considering the COVID-19 pandemic's global societal and individual impact. The present study builds on the current body of COVID-19 literature by examining the role of mental toughness (MT) in predicting negative affective states (depression, anxiety and stress) during the pandemic. The study also examined the effects of changes in employment on mental health and MT. Participants (

Indexed as

anxietyCOVID-19depressionmental healthmental toughnessstressunemployment (effects of)

Identifiers

PMID33613333
PMCPMC7886783
OpenAlexW3118954087

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.