Evidence map›Paper›PMID 35727333›Full record

ArticleSocial psychiatry and psychiatric epidemiology2022

Investigating a psychological model of mental conditions and coping during the COVID-19 pandemic driven by participatory methods.

S K Simblett, S Jilka, S Vitoratou, C Hayes, D Morris, E Wilson, C Odoi, M Mutepua, J Evans, E Negbenose and 6 more

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In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 92% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

16 authors at 3 institutions in 1 country.

S K SimblettPsychology Department, King's College London, London, UK. sara.simblett@kcl.ac.uk.ORCID http://orcid.org/0000-0002-8075-8238
S JilkaPsychology Department, King's College London, London, UK.
S VitoratouDepartment of Biostatistics and Health Informatics, King's College London, London, UK.
C HayesDepartment of Biostatistics and Health Informatics, King's College London, London, UK.
D MorrisPsychology Department, King's College London, London, UK.
E WilsonPsychology Department, King's College London, London, UK.
C OdoiMaudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK.
M MutepuaPsychology Department, King's College London, London, UK.
J EvansPsychology Department, King's College London, London, UK.
E NegbenoseMaudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK.
S M JansliPsychology Department, King's College London, London, UK.
G HudsonPsychology Department, King's College London, London, UK.
A AdanijoPsychology Department, King's College London, London, UK.
E Dawe-LanePsychology Department, King's College London, London, UK.
V PinfoldThe McPin Foundation, London, UK.
T WykesPsychology Department, King's College London, London, UK.
King's College London · GBSouth London and Maudsley NHS Foundation Trust · GBMcPin Foundation · GB

Funding

Medical Research Council MR/K015516/1South London and Maudsley NHS Foundation Trust IS-BRC-1215-20018
6 · The paper itself

Abstract

backgroundThere is evidence of increased mental health problems during the early stages of the COVID-19 pandemic. We aimed to identify the factors that put certain groups of people at greater risk of mental health problems.

methodsWe took a participatory approach, involving people with lived experience of mental health problems and/or carers, to generate a set of risk factors and potential moderators of the effects of COVID on mental health. An online cross-sectional survey was completed by 1464 United Kingdom residents between 24th April and 27th June 2020. The survey had questions on whether respondents were existing mental health service users and or carers, level of depression (PHQ9) and anxiety (GAD7), demographics, threat and coping appraisals, perceived resilience (BRS), and specific coping behaviours (validated as part of this study). The relationship between responses and coping strategies was measured using tetrachoric correlations. Structural equation modelling was used to test the model.

resultsA model significantly fit our data (rel χ

conclusionsSome, but not all, risk factors significantly predict anxiety and depression. While there is a relationship between anxiety and depression, different factors may put people at greater risk of one or the other during the pandemic.

Indexed as

COVID-19Adaptation, PsychologicalAnxietyCross-Sectional StudiesDepressionHumansModels, PsychologicalPandemicsCopingCOVID-19Mental healthParticipatory methods

Identifiers

PMID35727333
PMCPMC9211778
OpenAlexW4283269222

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.