ArticleNature communications2021
Associations between dimensions of behaviour, personality traits, and mental-health during the COVID-19 pandemic in the United Kingdom.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 52 papers, 2 of them syntheses that pooled it.
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Who cites it
52 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Daily routine disruptions and psychiatric symptoms amid COVID-19: a systematic review and meta-analysis of data from 0.9 million individuals in 32 countries.BMC medicine · 2024Pooled it
- COVID-19 and resultant restrictions on gambling behaviour.Neuroscience and biobehavioral reviews · 2022Pooled it
- Validation of the comprehensive online sleep monitoring scale in a large population sample.Frontiers in psychology · 2026Article
- Cognitive fitness and mental health outcomes following COVID-19 lockdowns in Australia.Scientific reports · 2025Article
- Naturalistic use of psychedelics is associated with longitudinal improvements in anxiety and depression during global crisis times.Journal of psychopharmacology (Oxford, England) · 2025Article
- Understanding the impact of COVID-19 on comorbid depression, anxiety and eating disorders in adolescent psychiatric inpatients: a network analysis.Child and adolescent psychiatry and mental health · 2025Article
- Transdiagnostic Compulsivity Traits in Problematic Use of the Internet Among UK Residents: Cross-Sectional Network Analysis Study.Journal of medical Internet research · 2025Article
- The internet usage increases fear of infection with Covid-19.Scientific reports · 2025Article
- An iterative approach for estimating domain-specific cognitive abilities from large scale online cognitive data.NPJ digital medicine · 2024Article
- Topic modelling and sentiment analysis during COVID-19 revealed emotions changes for public health.Scientific reports · 2024Article
- Examining the unique relationships between problematic use of the internet and impulsive and compulsive tendencies: network approach.BJPsych open · 2024Article
- Effects of Long COVID on Psycho-Physical Conditions in the Italian Population: A Statistical and Large Language Model Combined Description.European journal of investigation in health, psychology and education · 2024Article
- Article
- Internet Use and Effects on Mental Well-being During the Lockdown Phase of the COVID-19 Pandemic in Younger Versus Older Adults: Observational Cross-Sectional Study.JMIR formative research · 2024Article
- Effects of the COVID-19 pandemic on youth mental health: a cross-sectional study on eating disorder patients and their unaffected siblings.Child and adolescent psychiatry and mental health · 2024Article
- Videoconferencing During the COVID-19 Pandemic is Associated with Sleep Disruption in Young Adults.Nature and science of sleep · 2024Article
- Cohort Profile Update: The Neuroscience in Psychiatry Network (NSPN) 2400 cohort during the COVID-19 pandemic.International journal of epidemiology · 2023Article
- Large-scale data reveal disparate associations between leisure time physical activity patterns and mental health.Communications medicine · 2023Article
- Natural language processing analysis of the psychosocial stressors of mental health disorders during the pandemic.Npj mental health research · 2023Article
- Acute blood biomarker profiles predict cognitive deficits 6 and 12 months after COVID-19 hospitalization.Nature medicine · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
Abstract
The COVID-19 pandemic (including lockdown) is likely to have had profound but diverse implications for mental health and well-being, yet little is known about individual experiences of the pandemic (positive and negative) and how this relates to mental health and well-being, as well as other important contextual variables. Here, we analyse data sampled in a large-scale manner from 379,875 people in the United Kingdom (UK) during 2020 to identify population variables associated with mood and mental health during the COVID-19 pandemic, and to investigate self-perceived pandemic impact in relation to those variables. We report that while there are relatively small population-level differences in mood assessment scores pre- to peak-UK lockdown, the size of the differences is larger for people from specific groups, e.g. older adults and people with lower incomes. Multiple dimensions underlie peoples' perceptions, both positive and negative, of the pandemic's impact on daily life. These dimensions explain variance in mental health and can be statistically predicted from age, demographics, home and work circumstances, pre-existing conditions, maladaptive technology use and personality traits (e.g., compulsivity). We conclude that a holistic view, incorporating the broad range of relevant population factors, can better characterise people whose mental health is most at risk during the COVID-19 pandemic.
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