Cited by 387COVID-19 and Mental HealthMental Health Treatment and AccessMaternal Mental Health During Pregnancy and Postpartum

Mental health responses to the COVID-19 pandemic: a latent class trajectory analysis using longitudinal UK data

Open access
Pierce, Matthias, McManus, Sally, Hope, Holly, Hotopf, Matthew, Ford, Tamsin, Hatch, Stephani L, John, Ann, Kontopantelis, Evangelos +3 more·2021·The Lancet Psychiatry

Abstract

Background The mental health of the UK population declined at the onset of the COVID-19 pandemic. Convenience sample surveys indicate that recovery began soon after. Using a probability sample, we tracked mental health during the pandemic to characterise mental health trajectories and identify predictors of deterioration.Methods This study was a secondary analysis of five waves of the UK Household Longitudinal Study (a large, national, probability-based survey that has been collecting data continuously since January, 2009) from late April to early October, 2020 and pre-pandemic data taken from 2018-19. Mental health was assessed using the 12-item General Health Questionnaire (GHQ-12). We used latent class mixed models to identify discrete mental health trajectories and fixed-effects regression to identify predictors of change in mental health.Findings Mental health was assessed in 19 763 adults (≥16 years; 11 477 [58·1%] women and 8287 [41·9%] men; 3453 [17·5%] participants from minority ethnic groups). Mean population mental health deteriorated with the onset of the pandemic and did not begin improving until July, 2020. Latent class analysis identified five distinct mental health trajectories up to October 2020. Most individuals in the population had either consistently good (7437 [39·3%] participants) or consistently very good (7623 [37·5%] participants) mental health across the first 6 months of the pandemic. A recovering group (1727 [12·0%] participants) showed worsened mental health during the initial shock of the pandemic and then returned to around pre-pandemic levels of mental health by October, 2020. The two remaining groups were characterised by poor mental health throughout the observation period; for one group, (523 [4·1%] participants) there was an initial worsening in mental health that was sustained with highly elevated scores. The other group (1011 [7·0%] participants) had little initial acute deterioration in their mental health, but reported a steady and sustained decline in mental health over time. These last two groups were more likely to have pre-existing mental or physical ill-health, to live in deprived neighbourhoods, and be of Asian, Black or mixed ethnicity. Infection with SARS-CoV-2, local lockdown, and financial difficulties all predicted a subsequent deterioration in mental health.Interpretation Between April and October 2020, the mental health of most UK adults remained resilient or returned to pre-pandemic levels. Around one in nine individuals had deteriorating or consistently poor mental health. People living in areas affected by lockdown, struggling financially, with pre-existing conditions, or infection with SARS-CoV-2 might benefit most from early intervention.Funding None.

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  • The prevalence of mental illness increased in children, adolescents, and young adults during the COVID-19 pandemic.

    “The prevalence of mental illness increased in children, adolescents, and young adults during the COVID-19 pandemic, while at the same time, access to treatment facilities has been restricted, resulting in a need for the quick implementation of remote or online interventions.”

    From Effectiveness of Online and Remote Interventions for Mental Health in Children, Adolescents, and Young Adults After the Onset of the COVID-19 Pandemic: Systematic Review and Meta-Analysis (2024) · cites this paper as [14]

    The Results report an early rise in clinically significant mental distress, with the most pronounced peak among participants aged 16–24. However, the Methods say participants were aged 16 or older, so the study does not establish an increase in children under 16; it measured distress rather than the prevalence of diagnosed mental illness. (LLM, conf=0.88)

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Research works printed but not linked: 2

  1. [8]Czeisler MÉ Wiley JF Czeisler CA Rajaratnam SMW Howard ME Uncovering survivorship bias in longitudinal mental health surveys medRxiv 2021 published online Feb 17. 10.1101/2021.01.28.21250694 (preprint). PMC8207539 34036933 · DOI
  2. [13]University of Essex Institute for Social and Economic Research NatCen Social Research Kantar Public Understanding society: waves 1-9, 2009–2018 and Harmonised BHPS: waves 1–18, 1991–2009 [data collection] 12th edition 2019 UK Data Service 10.5255/UKDA-SN-6614-13 · DOI

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Authors
Pierce, M., McManus, S., Hope, H., Hotopf, M., Ford, T., Hatch, S. L., John, A., Kontopantelis, E., Webb, R. T., Wessely, S., & Abel, K. M.
Affiliations
  • University of Manchester (GB)
  • University of London (GB)
  • King's College London (GB)
  • University of Cambridge (GB)
  • Swansea University (GB)
  • Greater Manchester Mental Health NHS Foundation Trust (GB)
Corresponding author
Pierce, Matthias
Venue
The Lancet Psychiatry
Publisher
Elsevier BV
Published
2021-07
Volume
8
Issue
7
Pages
610-619
ISSN
2215-0366 (ISSN-L)
OpenAlex
W3157550210
Cited by
387
References
31
Citations by year
2026: 20 · 2025: 41 · 2024: 57 · 2023: 107 · 2022: 120 · 2021: 42
FWCI
55.73
Type
journal article
Language
en
Open access
Locations
  • The Lancet Psychiatry (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Research Explorer (The University of Manchester) (publishedVersion, other-oa)
  • City Research Online (City University London) (acceptedVersion)
  • Apollo (University of Cambridge) (submittedVersion, cc-by-nc-nd)
  • Apollo
Funders
  • National Institute for Health Research
  • University of Sussex
  • Wellcome Trust
  • Economic and Social Research Council
  • Medical Research Council
Topics
  • Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
  • Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Maternal Mental Health During Pregnancy and Postpartum
Keywords
COVID-19 pandemic, mental health trajectories, mental health deterioration, latent class analysis, GHQ-12, UK Household Longitudinal Study, neighborhood disadvantage, ethnicity, lockdown, financial hardship, pre-existing mental illness, physical illness
MeSH terms
COVID-19, Adolescent, Adult, Mental Disorders, Ethnicity, Female, United Kingdom, Humans, Longitudinal Studies, Male, Mental Health, Middle Aged, Surveys and Questionnaires, Models, Statistical, Young Adult

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