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Mental health in the UK during the COVID-19 pandemic: cross-sectional analyses from a community cohort study

R. Jia, K. Ayling, T. Chalder, Adam Massey, E. Broadbent, C. Coupland, K. Vedhara

BMJ Open, 2020

3,097 participants · 276 citations

Abstract

Objectives Previous pandemics have resulted in significant consequences for mental health. Here, we report the mental health sequelae of the COVID-19 pandemic in a UK cohort and examine modifiable and non-modifiable explanatory factors associated with mental health outcomes. We focus on the first wave of data collection, which examined short-term consequences for mental health, as reported during the first 4–6 weeks of social distancing measures being introduced. Design Cross-sectional online survey. Setting Community cohort study. Participants N=3097 adults aged ≥18 years were recruited through a mainstream and social media campaign between 3 April 2020 and 30 April 2020. The cohort was predominantly female (n=2618); mean age 44 years; 10% (n=296) from minority ethnic groups; 50% (n=1559) described themselves as key workers and 20% (n=649) identified as having clinical risk factors putting them at increased risk of COVID-19. Main outcome measures Depression, anxiety and stress scores. Results Mean scores for depression (x- =7.69, SD=6.0), stress (x- =6.48, SD=3.3) and anxiety (x- = 6.48, SD=3.3) significantly exceeded population norms (all p<0.0001). Analysis of non-modifiable factors hypothesised to be associated with mental health outcomes indicated that being younger, female and in a recognised COVID-19 risk group were associated with increased stress, anxiety and depression, with the final multivariable models accounting for 7%–14% of variance. When adding modifiable…

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