Evidence map›Paper›PMID 34003305›Full record

ArticleSocial psychiatry and psychiatric epidemiology2021

Rates and predictors of uptake of mental health support during the COVID-19 pandemic: an analysis of 26,720 adults in the UK in lockdown.

Feifei Bu, Hei Wan Mak, Daisy Fancourt

Abstract read
In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
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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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

3 authors.

Feifei BuDepartment of Behavioral Science and Health, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK.ORCID http://orcid.org/0000-0003-2060-3768
Hei Wan MakDepartment of Behavioral Science and Health, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK.
Daisy FancourtDepartment of Behavioral Science and Health, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK. d.fancourt@ucl.ac.uk.

Funding

Nuffield Foundation WEL/FR-000022583Wellcome TrustWellcome Trust 205407/Z/16/Z
6 · The paper itself

Abstract

purposeThe coronavirus disease 2019 (COVID-19) pandemic has put a great strain on people's mental health. A growing number of studies have shown worsening mental health measures globally during the pandemic. However, there is a lack of empirical study on how people support their mental health during the COVID-19 pandemic. This study aimed to examine a number of formal and informal mental health support. Further, it explored factors that might be associated with the use of different types mental health support.

methodsData from 26,720 adults in the UCL COVID-19 Social Study were analysed between 13th April 2020 and 3rd July 2020. Data were analysed using logistic and Poisson regression models.

resultsAbout 45% of people reported talking to friends or family members to support their mental health, 43% engaging in self-care activities, 20% taking medication, 9% speaking to mental health professionals, 8% talking to a GP or other health professional, and another 8% using helpline or online services. Gender, education, living status, loneliness, pre-existing mental health conditions, general depression and anxiety, coping and personality were found to be associated with the use of mental health support.

conclusionWhile the negative impacts caused by the COVID-19 pandemic are inevitable, people can play an active role in managing their mental health. Understanding the patterns and predictors of various kinds of mental health support during the pandemic is crucial for future service planning and delivery through recognising potential barriers to mental health care faced by certain groups.

Indexed as

COVID-19PandemicsAdultCommunicable Disease ControlHumansMental HealthSARS-CoV-2United KingdomCopingCOVID-19Mental healthServiceSupport

Identifiers

PMID34003305
PMCPMC8129600

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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.