This study analyzed data from 379,875 UK participants in 2020 to identify population variables associated with mood and mental health during the COVID-19 pandemic. While small population-level mood differences existed pre- to peak-lockdown, larger differences were observed in specific groups (e.g., older adults, lower incomes). Multiple dimensions, both positive and negative, shaped pandemic impact perceptions, explaining mental health variance and predictable from demographics, circumstances, pre-existing conditions, technology use, and personality traits. A holistic view incorporating population factors better characterizes individuals at mental health risk during the pandemic.
Publisher
Nature Communications
Published On
Oct 26, 2021
Authors
Adam Hampshire, Peter J. Hellyer, Eyal Soreq, Mitul A. Mehta, Konstantinos Ioannidis, William Trender, Jon E. Grant, Samuel R. Chamberlain
Tags
COVID-19
mental health
mood differences
population variables
demographics
technology use
personality traits
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