Evidence map›Paper›PMID 35274558›Full record

ArticlePerspectives in public health2022

Longitudinal changes in home-based arts engagement during and following the first national lockdown due to the COVID-19 pandemic in the UK.

F Bu, H W Mak, J K Bone, D Fancourt

Abstract read
In one paragraph

Article in Perspectives in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Trial
  2. Article
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  5. Article
  6. Loneliness, health and applied psychology.Applied psychology. Health and well-being · 2023
    Article
  7. Article
  8. Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

F BuDepartment of Behavioural Science and Health, University College London, London, UK.ORCID https://orcid.org/0000-0003-2060-3768
H W MakDepartment of Behavioural Science and Health, University College London, London, UK.ORCID https://orcid.org/0000-0002-2013-1644
J K BoneDepartment of Behavioural Science and Health, University College London, London, UK.
D FancourtDepartment of Behavioural Science and Health, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK.

Funding

Wellcome Trust 205407/Z/16/Z
6 · The paper itself

Abstract

aimsThis study aimed to examine potential heterogeneity in longitudinal changes in home-based arts engagement during the first national lockdown and following gradual easing of restrictions in the UK. Furthermore, it sought to explore factors that were associated with patterns of longitudinal changes in home-based arts engagement.

methodData were from the UCL COVID-19 Social Study. The analytical sample consisted of 29,147 adults in the UK who were followed up for 22 weeks from 21 March to 21 August 2020. Data were analysed using growth mixture models.

resultsOur analyses identified five classes of growth trajectories. There were two stable classes showing little change in arts engagement over time (64.4% in total), two classes showing initial increases in arts engagement followed by declines as restrictions were eased (29.8%), and one class showing slight declines during strict lockdown followed by an increase in arts engagement after the easing of restrictions (5.9%). A range of factors were found to be associated with class membership of these arts engagement trajectories, such as age, gender, education, income, employment status, and health.

conclusionThere is substantial heterogeneity in longitudinal changes in home-based arts engagement. For participants whose engagement changed over time, growth trajectories of arts engagement were related to changes in lockdown measures. These findings suggest that some individuals may have drawn on the arts when they needed them the most, such as during the strict lockdown period, even if they usually had lower levels of arts engagement before the pandemic. Overall, our results indicate the importance of promoting arts engagement during pandemics and periods of lockdown as part of public health campaigns.

Indexed as

COVID-19PandemicsAdultCommunicable Disease ControlHumansSARS-CoV-2United Kingdomarts engagementCOVID-19growth trajectorylockdownlongitudinaltrend

Identifiers

PMID35274558
PMCPMC8918873

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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.