Abstract
Background: COVID-19 is associated with subsequent mental illness in both hospital- and population-based
studies. Evidence regarding effects of COVID-19 vaccination on mental health consequences of COVID-19 is
limited.
Methods
With the approval of NHS England, we used linked electronic health records (OpenSAFELY-TPP) to
conduct analyses in a ‘pre-vaccination’ cohort (17,619,987 people) followed during the wild-type/Alpha
variant eras (January 2020-June 2021), and ‘vaccinated’ and ‘unvaccinated’ cohorts (13,716,225 and 3,130,581
people respectively) during the Delta variant era (June-December 2021). We estimated adjusted hazard ratios
(aHRs) comparing the incidence of mental illness after diagnosis of COVID-19 with the incidence before or
without COVID-19.
Outcomes: We considered eight outcomes: depression, serious mental illness, general anxiety, post-traumatic
stress disorder, eating disorders, addiction, self-harm, and suicide. Incidence of most outcomes was elevated
during weeks 1-4 after COVID-19 diagnosis, compared with before or without COVID-19, in each cohort.
Vaccination mitigated the adverse effects of COVID-19 on mental health: aHRs (95% CIs) for depression and
for serious mental illness during weeks 1-4 after COVID-19 were 1.93 (1.88-1.98) and 1.42 (1.24-1.61)
respectively in the pre-vaccination cohort and 1.79 (1.68-1.91) and 2.21 (1.99-2.45) respectively in the
unvaccinated cohort, compared with 1.16 (1.12-1.20) and 0.91 (0.84-0.98) respectively in the vaccinated
cohort. Elevation in incidence was higher, and persisted for longer, after hospitalised than non-hospitalised
COVID-19.
Interpretation: Incidence of mental illness is elevated for up to a year following severe COVID-19 in
unvaccinated people. Vaccination mitigates the adverse effect of COVID-19 on mental health.
Funding: Medical Research Council (MC_PC_20059) and NIHR (COV-LT-0009).
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3
Introduction
SARS-CoV-2 infection, and consequent COVID-19, are associated with subsequent mental illness in both
hospital and population-based studies1,2; for both common mental health difficulties, such as anxiety and
depressive symptoms3, and serious mental illness, including psychotic disorders4. Potential mechanisms for
these adverse effects of COVID-19 include physiological pathways, such as inflammation and microvascular
changes, and psychosocial effects, such as anxiety about the consequences of COVID-19 including long COVID.
Previous studies identified associations of COVID-19 with mental illness in both hospitalised patients5,6 and the
general population1,7,8. Differentiating between hospitalised and non-hospitalised groups can provide insights
into the role of COVID-19 severity.9
Rapid rollout of COVID-19 vaccination within a year of the start of the pandemic was a crucial component of
the public health response. Although the impacts of vaccination in preventing and reducing the severity of
COVID-19 are well-established10,11, there is limited evidence regarding the implications of vaccination for other
adverse health consequences of COVID-19, including mental illness. Several studies reported short-term
improvements in population mental health following vaccination rollout.12,13 However, we did not identify any
studies investigating differences in mental illness outcomes following COVID-19 by vaccination status.
Rates of SARS-CoV-2 infection, vaccination, and disease severity were patterned by socio-demographic and
health factors including age, sex, ethnicity, income and prior mental illness.14–18 Mental health consequences
of COVID-19 may also vary between subgroups. For example, older people are at higher risk of more severe
COVID-19, and hence may have experienced higher levels of psychological distress.
Using linked primary and secondary care data from over 17 million people, we examined associations of
COVID-19 with subsequent mental illness in the pre-vaccination period of the pandemic and for unvaccinated
and vaccinated people after vaccination became available. We compared rates of common and severe mental
illness after a diagnosis of COVID-19 with rates before or without COVID-19. We also investigated variation in
these associations between subgroups defined by COVID-19 severity, age, sex, ethnicity, prior mental illness,
and prior SARS-COV-2 infection. Follow-up of those diagnosed with COVID-19 during the first year of the
pandemic was for up to two years post-diagnosis.
Methods
Study design and data sources
Our study used OpenSAFELY-TPP, which provides secure, privacy-protecting access to linked data from 24
million people registered with English general practices (GPs) using TPP SystmOne software. These data
include primary care data linked via pseudonymised NHS number to Secondary Uses Service (SUS) secondary
care data, Office of National Statistics (ONS) Death Registry, Second Generation Surveillance System (SGSS)
COVID-19 testing data and the Index of Multiple Deprivation (IMD). COVID-19 vaccination records (National
Immunisation Management System) are available within TPP primary care data.
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4
Outcomes were defined using the earliest of: a relevant SNOMED CT code indicating a diagnosis in primary
care; start of a secondary care episode with an ICD-10 code indicating a confirmed diagnosis in any position; or
death with an ICD-10 code indicating the diagnosis as either a primary or underlying cause. From the range of
mental illnesses examined, we present main findings for depression and serious mental illness (composite of
schizophrenia, schizo-affective disorder, bipolar disorder, and psychotic depression). We also examined
general anxiety disorders, post-traumatic stress disorder (PTSD), eating disorders, addiction, self-harm and
suicide, which are presented in supplementary material. Code lists are available online:
https://github.com/opensafely/post-covid-mentalhealth/tree/main/codelists.
The date of COVID-19 was defined as the first of: confirmed COVID-19 diagnosis recorded in primary care;
positive SARS-COV-2 PCR or antigen test recorded in SGSS; start of an episode with a confirmed diagnosis in
any position in SUS; or death with SARS-COV-2 infection listed in any position on the ONS death registry.
People with a hospital admission record in SUS that included a confirmed diagnosis in the primary position
within 28 days of first COVID-19 were defined as having had ‘hospitalised COVID-19’. All other COVID-19
diagnoses were defined as ‘non-hospitalised’. Covariates identified as potential confounders included age, sex,
ethnicity, area socioeconomic deprivation, smoking status, care home residence, health care work, number of
GP-patient interactions in 2019, and binary indicators for history of comorbidities (Supplementary Table 1).
Study population
Three cohorts were defined (Supplementary Table 2; Supplementary Figure 1). The ‘pre-vaccination’ cohort
was followed from January 1st 2020 (baseline) until the earliest of December 14th 202119, outcome event date
and date of death. Exposure was defined as recorded COVID-19 between baseline and the earliest date of
eligibility for COVID-19 vaccination, date of first vaccination and June 18th 2021 (when all adults became
eligible for vaccination). Follow-up in the ‘vaccinated’ cohort started at the later of baseline and two weeks
after a second COVID-19 vaccination and ended at the earliest of December 14th 2021, outcome event date
and date of death. The ‘unvaccinated’ cohort had not received a COVID-19 vaccine by 12 weeks after they
became eligible for vaccination. Follow-up started at the later of baseline and 12 weeks after vaccination
eligibility and ended at the earliest of December 14th 2021, outcome event date, date of death and date of
first vaccination.
People eligible for each cohort were registered with an English GP for at least six months before baseline and
were alive with a known age between 18 and 110 years, sex, deprivation, and region at baseline. People were
excluded from each cohort if they had any record of SARS-CoV-2 infection before baseline. In the vaccinated
cohort, people were excluded if they received a vaccination before the start of the vaccine rollout on
December 8th 2020 (indicating an error or participation in a randomized trial); their second dose was dated
before their first dose vaccination (contradictory vaccine record); their second dose was less than three weeks
after their first dose; or they received mixed vaccine brands before this was permitted on May 7th 2021. In the
unvaccinated cohort, people were excluded if they had any record of a COVID-19 vaccination before June 1st
2021. Vaccine eligibility was defined using the Joint Committee on Vaccination and Immunisation (JCVI)
groupings. People who could not be assigned to a JCVI group were excluded.
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Statistical analyses
For each cohort, baseline characteristics were described, and numbers of outcome events, person-years of
follow-up and incidence rates (per 100,000 person-years) before and after all, hospitalised and non-
hospitalised COVID-19 were tabulated. Time to first event was analysed for each outcome. Cox models were
fitted with calendar time scale using the cohort-specific baseline as the origin. Hazard ratios (HRs) for follow-
up after, versus before or without COVID-19, were estimated, splitting follow-up into the day of COVID-19
diagnosis (‘day 0’), the remainder of 1-4 weeks, and 5-28 weeks after COVID-19 for all cohorts and additionally
29-52 and 53-102 weeks after COVID-19 for the pre-vaccination cohort. For computational efficiency, we used
sampling for analyses containing >4,000,000 people: we included all people with the outcome event, all
people with the exposure, and a 10% (for general anxiety, depression, serious mental illness) or 20% (for all
other outcomes) random sample of non-case-non-exposed people. We used inverse probability weights to
adjust for the sampling and derived confidence intervals using robust standard errors when sampling had
occurred. For each outcome and cohort, we estimated: (i) age and sex adjusted; and (ii) maximally adjusted
HRs including all covariates listed above. Restricted cubic splines were used to account for age unless
otherwise specified. All models were stratified by region so that risk sets were constructed within region,
hence accounting for between-region variation in the baseline hazard.
Subgroup analyses according to prior history of the outcome event, age group, sex, ethnicity, and COVID-19
history were conducted for depression and serious mental illness. We calculated absolute excess risk 28 weeks
after COVID-19, including outcome events recorded on the day of COVID-19 diagnosis (‘day 0’) and weighted
by the proportion of people in age and sex strata in the pre-vaccination cohort. Further details of the
statistical methods are in the supplement.
Data management and analyses were conducted in Python version 3.8.10, R version 4.0.2 and Stata/MP
version 16.1 according to a pre-specified protocol. The protocol, analysis code and code lists are available
online: https://github.com/opensafely/post-covid-mentalhealth.
Results
The pre-vaccination cohort included 17,619,987 people of whom 975,429 received a COVID-19 diagnosis
(Table 1, Supplementary Figure 2). The median (interquartile range (IQR)) age was 49 (34-64) years. The
cohort was 50.2% female and 79.3%, 6.3%, and 2.1% were recorded as of White, South Asian, and Black
ethnicities respectively. The vaccinated and unvaccinated cohorts included 13,716,225 and 3,130,581 people
respectively, of whom 850,023 and 147,315 received a COVID-19 diagnosis. Differences in demographic
characteristics between the vaccinated and unvaccinated cohorts reflect predictors of COVID-19 vaccine
uptake.20 Supplementary Table 3 summarises participants’ medical history by cohort.
In each cohort, the incidence of mental illness was higher after diagnosis of COVID-19 than before or without
COVID-19 (Table 2). The highest incidence rates were after hospitalised COVID-19. Depression was the most
common outcome with a total of 1,278,363, 343,371, and 56,403 diagnoses in the pre-vaccination, vaccinated
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6
and unvaccinated cohorts respectively. There were 379,275, 84,981, and 18,039 diagnoses of serious mental
illness in the pre-vaccination, vaccinated and unvaccinated cohorts respectively.
Comparisons of event rates after diagnosis of COVID-19 versus before or without COVID-19
Maximally adjusted HRs (aHRs) comparing the incidence of each outcome after diagnosis of COVID-19 with the
incidence before or without COVID-19 did not differ substantially from the age- and sex-adjusted HRs in all
cohorts (Supplementary Figure 3). The incidence of all outcomes was extremely high on day zero (Table 3).
The incidence of most outcomes was elevated during the remainder of 1-4 weeks after COVID-19, compared
with before or without COVID-19, in each cohort.
Depression
The incidence of depression was elevated during weeks 1-4 after COVID-19, compared with before or without
COVID-19, in the pre-vaccination and unvaccinated cohorts (1.93 (95% CI 1.88-1.98) and 1.79 (1.68-1.91)
respectively) and, to a lesser extent, in the vaccinated cohort (1.16 (1.12-1.20)) (Figure 1, Table 3). The
incidence of depression remained elevated during weeks 5-28 in the vaccinated and unvaccinated cohorts
(aHRs 1.11 (1.08-1.14) and 1.28 (1.22-1.36) respectively) and up to weeks 53-102 in the pre-vaccination cohort
(aHR 1.17 (1.13-1.20)). aHRs during weeks 1-4 were considerably higher after hospitalised COVID-19 (pre-
vaccination: 16.5 (15.8-17.3); vaccinated: 13.0 (12.0-14.0); unvaccinated: 15.6 (14.1-17.2)) than after non-
hospitalised COVID-19 (pre-vaccination: 1.22 (1.17-1.26); vaccinated: 0.92 (0.88-0.95); unvaccinated: 1.11
(1.02-1.20)) (Figure 1, Supplementary Tables 4-5). In the pre-vaccination cohort, aHRs remained higher after
hospitalised than non-hospitalised COVID-19 throughout follow-up.
Serious mental illness
The incidence of serious mental illness was elevated during weeks 1-4 after COVID-19, compared with before
or without COVID-19, in the pre-vaccinated and unvaccinated cohorts (1.48 (95% CI 1.40-1.56) and 1.42 (1.24-
1.61) respectively) (Figure 1, Table 3). However, the incidence of serious mental illness was lower during
weeks 1-4 in the vaccinated cohort (0.91 (0.84-0.98)). Incidence remained slightly elevated during weeks 5-28
in the vaccinated and unvaccinated cohorts (1.07 (1.01-1.1) and 1.14 (1.02-1.27)) and up to weeks 53-102 in
the pre-vaccination cohort (1.13 (1.06-1.19)). The incidence of serious mental illness during weeks 1-4 was
considerably higher after hospitalised COVID-19 (pre-vaccination: 9.65 (8.71-10.7); vaccinated: 6.38 (5.21-
7.80); unvaccinated: 8.76 (7.02-10.9)) than after non-hospitalised COVID-19: (pre-vaccination: 1.04 (0.97-
1.11); vaccinated: 0.79 (0.73-0.86); unvaccinated: 0.98 (0.83-1.15)) (Figure 1, Supplementary Tables 4-5).
Subgroup analyses
aHRs for depression were highest during weeks 1-4 after COVID-19, versus before or without COVID-19, for
people with prior history of the condition that was recorded more than six months ago (Figure 2,
Supplementary Tables 6-8). For example, in the pre-vaccination cohort, aHRs were 2.16 (2.08-2.23) for prior
history more than six months ago, 1.66 (1.52-1.80) for prior history within six months, and 1.58 (1.50-1.67) for
no prior history. aHRs for serious mental illness were also highest during weeks 1-4 after COVID-19 for people
with prior history of the condition that was recorded more than six months ago in the unvaccinated cohort
(1.56 (1.30-1.88)). However, aHRs for serious mental illness were highest during weeks 1-4 after COVID-19 for
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people with prior history within six months for the pre-vaccination (1.88 (1.57-2.26)) and vaccinated cohorts
(1.07 (0.87-1.33)). Beyond 5 weeks, incidence attenuated for those with prior history both within six months
and more than six months ago. For the vaccinated cohort, incidence of serious mental illness during weeks 5-
28 after COVID-19 was consistent with before or without COVID-19 (prior history more than six months ago:
1.00 (0.93-1.08); prior history within six months: 1.07 (0.87-1.33)).
In the vaccinated cohort, aHRs for depression and serious mental illness after COVID-19, versus before or
without COVID-19 were similar in people with and without a with prior history of COVID-19 (Supplementary
Figure 4, Supplementary Table 9). aHRs for depression during weeks 1-4 and 5-12 were greater in the 60-79
and 80-110 age groups than the 18-39 and 40-59 age groups: those serious mental illness were greater in the
60-79 and 80-110 age groups than the 18-39 and 40-59 age groups across all time periods (Supplementary
Figure 5, Supplementary Tables 10-13). aHRs for depression and serious mental illness were marginally higher
for men than women during weeks 1-4 after COVID-19 (Supplementary Figure 6, Supplementary Tables 14-
15). aHRs for depression after COVID-19, versus before or without COVID-19, were generally comparable
between ethnic groups (Supplementary Figure 7, Supplementary Tables 16-20), except that in the vaccinated
cohort aHRs for depression were higher for the Black ethnic group than other ethnic groups. aHRs for serious
mental illness after COVID-19 were broadly comparable by ethnic group for the pre-vaccination cohort. aHRs
for serious mental illness could only be estimated for the White and South Asian ethnic groups in the
vaccinated cohort, and for the White ethnic group in the unvaccinated cohort, due to low event counts.
Other mental illnesses
aHRs for other mental illnesses were broadly similar to those for depression and serious mental illness, both
overall (Figure 3, Table 3) and for hospitalised and non-hospitalised COVID-19 (Supplementary Tables 4-5). An
exception was that aHRs for post-traumatic stress disorder after hospitalised COVID-19, versus before or
without COVID-19, were higher during weeks 1-4 in the vaccinated cohort than the other two cohorts (pre-
vaccination: 19.9 (15.6-25.5); vaccinated: 26.3 (19.3-35.8); unvaccinated: 14.0 (8.40-23.4)). This pattern was
not present for non-hospitalised COVID-19 or overall.
Absolute excess risk
Estimated excess risks of depression 28 weeks after COVID-19, standardised to the age and sex distribution of
the pre-vaccination cohort, were 1020, 449, and 1009 per 100,000 people in the pre-vaccination, vaccinated
and unvaccinated cohorts respectively (Figure 4, Supplementary Table 21). Up to 32% of the estimated excess
events occurred on the day of COVID-19 diagnosis (‘day 0’). Estimated excess risks of serious mental illness 28
weeks post-COVID-19, standardised to the age and sex distribution of the pre-vaccination cohort, were 227,
60, and 199 per 100,000 people in the pre-vaccination, vaccinated and unvaccinated cohorts respectively. Up
to 43% of the estimated excess events occured on the day of COVID-19 diagnosis (‘day 0’).
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8
Discussion
In a study of more than 17 million people followed for up to two years of the pandemic, rates of most mental
illnesses were markedly elevated during the first four weeks after diagnosis of COVID-19. This elevation was
less marked in people who were vaccinated before diagnosis of COVID-19. In people diagnosed with COVID-19
before vaccination was available, incidence of mental illness remained elevated more than four weeks after
diagnosis, particularly in people who were hospitalised with COVID-19. In subgroup analyses according to prior
history of depression and serious mental illness, associations 1-4 weeks after COVID-19 were greater in those
with than without prior history of each outcome, but more than 4 weeks after COVID-19 associations were
greater in people with no prior history of the outcome. Subgroup analyses also suggested stronger
associations in older age groups and in men. The effect of COVID-19 on mental illness did not differ markedly
between ethnic groups.
The attenuation of adverse effects of COVID-19 on mental illness in those who were vaccinated, compared to
those unvaccinated, may be explained by reduced disease severity due to vaccination.21 This might be due to
lower levels of systemic inflammation, as well as psychological benefits of vaccination such as reduced worry
about the consequences of COVID-19, increased social engagement, and resuming previous activities.22 A
previous cross-cohort study found that associations varied by COVID-19 severity, with poorer mental illness
outcomes only found among those who were bedridden with COVID-19, as a marker of more severe illness.3
Those hospitalised due to COVID-19, especially people in intensive care and requiring ventilator support, may
have been at greater risk of developing post-traumatic stress disorder23; though this could not be examined in
the present study.
Elevation in rates of mental illness outcomes declined with increasing time since diagnosis of COVID-19,
although for those diagnosed in in the pre-vaccination era incidence remained elevated up to a year after
hospitalised COVID-19. Previous findings regarding long-term effects have been mixed, with a review reporting
no clear long-term associations between COVID-19 and mental illness24, whereas a recent multi-cohort study
found an association between COVID-19 and mental illness with little evidence of attenuation over time1.
Persisting effects of COVID-19 on mental illness could partly reflect ongoing impacts of long COVID25,26.
In line with previous research1, we found stronger associations between COVID-19 and mental illness among
older age groups. This is likely to reflect the increased risk of severe COVID-19 among older people and
resulting increased anxiety about the consequences of infection. The association between COVID-19 and
mental illness was slightly stronger among men, who have been found to be at greater risk of severe mental
illness outcomes than women27. These patterns contrast with the wider impacts of the pandemic on mental
health. For instance, overall mental health impacts of the pandemic were found to be greatest in adults aged
25-44 years, women, and those with higher degrees28; indicating that the mechanisms linking COVID-19
disease and mental health may differ from those underpinning wider effects of the pandemic.
Our findings highlight the wider public health benefits of the vaccination programme. Prior mental illness may
influence vaccine uptake, which highlights the importance of actively encouraging vaccine uptake in people
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9
with mental health difficulties.20,29,30 Our analyses suggested that the adverse effects of COVID-19 on mental
illness were greater during the first year of the pandemic, prior to the availability of vaccination. This may
reflect greater uncertainty and public concern around consequences of COVID-19 and treatment effectiveness
at the beginning of the pandemic.
Strengths of this study include the very large sample size, availability of detailed linked electronic health
record data, relatively long duration of follow-up, and the opportunity to examine the role of vaccination in
the relationship between COVID-19 and mental illness. We also note several limitations. First, those who were
unvaccinated may have been less likely to contact health services and to test for SARS-CoV-2, which might
have led to underestimated effects in unvaccinated people not hospitalised with COVID-19. Those with
recorded COVID-19, particularly those who were hospitalised, may have been more likely to have their mental
illness recorded due to greater contact with health services. This may have underpinned the particularly high
HRs observed initially following diagnosis, especially in those hospitalised, and the rapid fall thereafter as
service contact is likely to be highest in the early post-diagnosis period. However, this is unlikely to fully
explain the adverse effect of COVID-19 on mental illness, given the persistent elevation of incidence of mental
illness following hospitalised COVID-19 and the variation in associations with different mental illnesses. Also,
those with prior recorded mental health diagnoses may not have had additional diagnostic codes added to
their record at every visit, even if their mental health had deteriorated due to COVID-19. Additionally, data on
mental health in primary and secondary care is generally incomplete, as it does not include access to mental
health services data or NHS Talking Therapies (formerly ‘Improving Access to Psychological Therapies (IAPT)’),
which patients can self-refer to. A further limitation is that we could only assess COVID-19 severity according
to whether patients were hospitalised and did not consider the potential role of repeated infections. We
cannot exclude the possibility of unmeasured confounding, although we controlled for a wide range of
demographic characteristics and prior morbidities. A previous study found that the mental health impacts of
COVID-19 were less apparent when using a negative control group, suggesting that observed associations may
have been, at least in part, due to residual confounding2. Finally, other viruses may have consequences for
mental illness. Our findings may therefore reflect a phenomenon that occurs after many viruses rather than
being specific to SARS-CoV-2.
Our findings add to a growing body of evidence highlighting the increased risk of mental illness following
COVID-19 diagnosis, with stronger associations found in relation to non-vaccination and more severe COVID-
19 disease, and longer-term associations relating mainly to new-onset mental illness. This has important
implications for public health and mental health service provision, as serious mental illnesses in particular are
associated with more intensive healthcare needs and longer-term health and other adverse effects. Our
Results
highlight the importance of accessing vaccination among those with mental illness, who may be at
higher risk of both SARS-CoV-2 infection and adverse health outcomes following COVID-19. They also
emphasise the widespread public health benefits of COVID-19 vaccination in the general population.
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10
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Acknowledgements
We are very grateful for all the support received from the TPP Technical Operations team throughout this
work, and for generous assistance from the information governance and database teams at NHS England and
the NHS England Transformation Directorate. We thank the CONVALESCENCE Study Long COVID PPIE group
for their input and for sharing their experiences and expertise throughout the duration of the project.
CONFLICTS OF INTEREST
NC is remunerated for participation in Data Safety and Monitoring Boards for AstraZeneca. AM was paid for
three days of consultancy for https://inductionhealthcare.com/ in Feburary 2022. No other conflicts of
interest to be disclosed.
FUNDING
This work was supported by the COVID-19 Longitudinal Health and Wellbeing National Core Study, which is
funded by the Medical Research Council (MC_PC_20059) and NIHR (COV-LT-0009). VW is also supported by
the Medical Research Council Integrative Epidemiology Unit at the University of Bristol [MC_UU_00032/03].
YW was supported by an UKRI MRC Fellowship awarded to YW (MC/W021358/1) and received funding from
UKRI EPSRC Impact Acceleration Account (EP/X525789/1). AM received funding from the Bennett Foundation,
Wellcome Trust, NIHR Oxford Biomedical Research Centre, NIHR Applied Research Collaboration Oxford and
Thames Valley, Mohn-Westlake Foundation. The OpenSAFELY Platform is supported by grants from the
Wellcome Trust (222097/Z/20/Z) and MRC (MR/V015737/1, MC_PC_20059, MR/W016729/1). In addition,
development of OpenSAFELY has been funded by the Longitudinal Health and Wellbeing strand of the
National Core Studies programme (MC_PC_20030: MC_PC_20059), the NIHR funded CONVALESCENCE
programme (COV-LT-0009), NIHR (NIHR135559, COV-LT2-0073), and the Data and Connectivity National Core
Study funded by UK Research and Innovation (MC_PC_20058) and Health Data Research UK
(HDRUK2021.000).
DATA AVAILABILITY STATEMENT
All data were linked, stored and analysed securely within the OpenSAFELY platform:
https://www.opensafely.org/. Data include pseudonymised data such as coded diagnoses, medications and
physiological parameters. No free text data are included. All code and code lists are shared openly for review
and re-use under an MIT open license (https://github.com/opensafely/post-covid-mentalhealth). Detailed
pseudonymised patient data is potentially re-identifiable and therefore not shared.
. CC-BY 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
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13
ETHICAL APPROVAL AND INFORMATION GOVERNANCE
This study was approved by the Health Research Authority [REC reference 22/PR/0095] and by the University
of Bristol's Faculty of Health Sciences Ethics Committee [reference 117269]. Authors involved in data
management/analysis successfully passed information governance training and obtained ONS safe researcher
accreditation. NHS England is the data controller of OpenSAFELY-TPP. All outputs underwent disclosure checks
and were approved by NHS England. Further details of OpenSAFELY information governance are provided in
supplemental methods.
AUTHOR CONTRIBUTIONS
VW, PP, RD, AWo, NC, JMac, AJ, JACS contributed to Conceptualization. VW, RD, JACS contributed to
Methodology. VW, JICC, TP, AWa, LF, JMas, SD, AM, SB, BG contributed to Software. VW, JICC, RD, HF, JS, BM,
ET, KT, GC, EH, YW, MAA, RK, JMac, AJ contributed to Validation. VW, JICC contributed to Formal analysis. VW,
JICC contributed to Investigation. TP, AWa, LF, JMas, SD, AM, SB, BG contributed to Resources. VW, JICC, HF
contributed to Data Curation. VW, PP, JACS contributed to Writing - Original Draft. All authors contributed to
Writing - Review & Editing. VW, JICC contributed to Visualization. VW, RD, BG, AWo, NC, JMac, AJ, JACS
contributed to Supervision. VW, PP, RD, BG, AWo, NC, JMac, AJ, JACS contributed to Project administration.
NC, JACS contributed to Funding acquisition.
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2
Table 1: Patient characteristics in the pre-vaccination, vaccinated and unvaccinated cohorts.
Characteristic Pre-vaccination cohort Vaccinated cohort Unvaccinated cohort
N (%) COVID-19
diagnoses N (%) COVID-19
diagnoses N (%) COVID-19
diagnoses
All 17619987 975429 13716225 850023 3130581 147315
Sex Female 8847327 (50.2%) 524127 7140045 (52.1%) 472455 1313967 (42%) 77943
Male 8772657 (49.8%) 451299 6576177 (47.9%) 377571 1816611 (58%) 69375
Age, years
18-29 2968245 (16.8%) 230823 1695351 (12.4%) 92115 948093 (30.3%) 39417
30-39 3018537 (17.1%) 197505 1914075 (14%) 146811 939573 (30%) 49947
40-49 2921427 (16.6%) 185643 2162535 (15.8%) 232005 593535 (19%) 32889
50-59 3135621 (17.8%) 180213 2663187 (19.4%) 200301 361947 (11.6%) 16545
60-69 2452011 (13.9%) 90525 2270565 (16.6%) 103599 175419 (5.6%) 5535
70-79 1990863 (11.3%) 49467 1940685 (14.1%) 53013 76089 (2.4%) 1899
80-89 940581 (5.3%) 29667 889707 (6.5%) 17853 28389 (0.9%) 879
90+ 192699 (1.1%) 11583 180123 (1.3%) 4323 7527 (0.2%) 219
Ethnicity
White 13965363 (79%) 737295 11361897 (83%) 726897 1946799 (62%) 112497
S. Asian 1109529 (6.3%) 114231 769293 (5.6%) 40809 311121 (9.9%) 9381
Black 368835 (2.1%) 25845 212187 (1.5%) 9405 166593 (5.3%) 7443
Other 371805 (2.1%) 19137 228615 (1.7%) 10377 180609 (5.8%) 3951
Mixed 197745 (1.1%) 13467 124425 (0.9%) 7383 77583 (2.5%) 3789
Missing 1606707 (9.1%) 65451 1019811 (7.4%) 55149 447873 (14.3%) 10257
IMD
quintile
(lower:
more
deprived)
1 3395079 (19.3%) 239709 2229885 (16.3%) 133593 933093 (29.8%) 45183
2 3478545 (19.7%) 211725 2563539 (18.7%) 156321 750447 (24%) 34959
3 3801099 (21.6%) 194859 3032523 (22.1%) 183045 627477 (20%) 29079
4 3606213 (20.5%) 176199 2999331 (21.9%) 188019 479739 (15.3%) 22113
5 3339045 (19%) 152931 2890947 (21.1%) 189039 339819 (10.9%) 15981
Smoking
Never 682269 (3.9%) 38217 412623 (3%) 15945 356319 (11.4%) 8247
Former 8051205 (45.7%) 485781 6381579 (46.5%) 414003 1295349 (41.4%) 58611
Current 5870427 (33.3%) 318777 5000223 (36.5%) 327639 625515 (20%) 43167
Missing 3016083 (17.1%) 132645 1921797 (14%) 92433 853395 (27.3%) 37287
Region
East 4088403 (23.2%) 221181 3209673 (23.4%) 180231 704565 (22.5%) 33441
E.Midlands 3121905 (17.7%) 185739 2431149 (17.7%) 158091 513993 (16.4%) 28311
London 1116735 (6.3%) 64383 715353 (5.2%) 37059 446763 (14.3%) 10929
North East 852093 (4.8%) 58887 652491 (4.8%) 48537 132987 (4.2%) 7185
North West 1568139 (8.9%) 104913 1233741 (9%) 85629 211239 (6.7%) 11697
South East 1159293 (6.6%) 47829 943521 (6.9%) 55689 188109 (6%) 8757
South West 2490369 (14.1%) 76029 2136165 (15.6%) 129291 313809 (10%) 17235
W.Midlands 693339 (3.9%) 52617 481725 (3.5%) 29205 172029 (5.5%) 7941
Yorkshire 2529699 (14.4%) 163839 1912395 (13.9%) 126285 447087 (14.3%) 21819
Care home resident 82575 (0.5%) 14391 56451 (0.4%) 2775 2889 (0.1%) 105
Healthcare worker 552441 (3.1%) 63351 480825 (3.5%) 38709 20157 (0.6%) 1947
IMD: Index of Multiple Deprivation
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3
Table 2: Mental illness events following diagnosis of COVID-19 in the pre-vaccination, vaccinated and unvaccinated cohorts, overall and by COVID-19 severity.
Outcome COVID-19 severity
Pre-vaccination cohort
N=17,619,987
Vaccinated cohort
N=13,716,225
Unvaccinated cohort
N=3,130,581
Event/person-years Incidence
rate Event/person-years Incidence
rate Event/person-years Incidence
rate
Depression
No COVID-19 1229103/31815936 3863 332523/6177768 5383 53547/1178058 4545
Hospitalised COVID-19 6123/40514 15113 1359/2379 57128 831/1614 51475
Non-hospitalised COVID-19 43137/875165 4929 9489/153403 6186 2025/24665 8210
Serious mental
illness
No COVID-19 364809/32692824 1116 82479/6242112 1321 17325/1185912 1461
Hospitalised COVID-19 1581/46044 3434 207/2651 7809 165/1771 9319
Non-hospitalised COVID-19 12885/921950 1398 2295/156141 1470 549/25091 2188
General anxiety
disorders
No COVID-19 898383/32181914 2792 221499/6207309 3568 39285/1181444 3325
Hospitalised COVID-19 4695/42625 11015 1017/2481 40994 873/1615 54045
Non-hospitalised COVID-19 34569/891502 3878 6795/154561 4396 1689/24774 6818
Post-traumatic
stress disorder
No COVID-19 35325/33027918 107 8061/6260421 129 2733/1189246 230
Hospitalised COVID-19 303/47761 634 57/2695 2115 57/1798 3170
Non-hospitalised COVID-19 1281/939590 136 225/156887 143 93/25218 369
Eating disorders
No COVID-19 18273/33044280 55 4539/6261356 72 903/1189653 76
Hospitalised COVID-19 63/48018 131 Sep-07 333 15/1808 830
Non-hospitalised COVID-19 765/940251 81 129/156909 82 33/25239 131
Addiction
No COVID-19 36615/33023855 111 5481/6261035 88 4131/1188788 347
Hospitalised COVID-19 165/47887 345 21/2704 777 51/1799 2835
Non-hospitalised COVID-19 879/939847 94 105/156925 67 87/25220 345
Self-harm
No COVID-19 85761/32977385 260 15027/6258886 240 4977/1188790 419
Hospitalised COVID-19 237/47754 496 27/2703 999 15/1808 830
Non-hospitalised COVID-19 2955/936599 316 507/156793 323 141/25205 559
Suicide
No COVID-19 39951/33023812 121 6135/6260977 98 1935/1189437 163
Hospitalised COVID-19 159/47888 332 15/2706 554 9/1810 497
Non-hospitalised COVID-19 1359/939065 145 219/156893 140 57/25232 226
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4
Table 3: Maximally adjusted hazard ratios and 95% CIs for mental illness events following diagnosis of COVID-19 in the
pre-vaccination, vaccinated and unvaccinated cohorts.
Outcome Time since
COVID-19
Pre-vaccination
cohort
Vaccinated
cohort
Unvaccinated
cohort
Depression
Day 0 32.9 (31.8-34.0) 8.52 (8.05-9.03) 19.1 (17.5-20.8)
1-4 weeks 1.93 (1.88-1.98) 1.16 (1.12-1.20) 1.79 (1.68-1.91)
5-28 weeks 1.25 (1.23-1.26) 1.11 (1.08-1.14) 1.28 (1.22-1.36)
29-52 weeks 1.16 (1.14-1.18) - -
53-102 weeks 1.17 (1.13-1.20) - -
Serious mental illness
Day 0 29.4 (27.6-31.3) 7.61 (6.74-8.59) 19.1 (16.2-22.5)
1-4 weeks 1.48 (1.40-1.56) 0.91 (0.84-0.98) 1.42 (1.24-1.61)
5-28 weeks 1.20 (1.17-1.23) 1.07 (1.01-1.12) 1.14 (1.02-1.27)
29-52 weeks 1.15 (1.12-1.18) - -
53-102 weeks 1.13 (1.06-1.19) - -
General anxiety
Day 0 33.7 (32.4-34.9) 8.55 (7.98-9.17) 25.3 (23.3-27.5)
1-4 weeks 2.19 (2.13-2.26) 1.26 (1.21-1.31) 2.29 (2.15-2.44)
5-28 weeks 1.26 (1.24-1.28) 1.12 (1.09-1.16) 1.36 (1.28-1.45)
29-52 weeks 1.14 (1.12-1.16) - -
53-102 weeks 1.15 (1.11-1.19) - -
Post-traumatic stress
disorder
Day 0 43.3 (36.8-51.0) 12.3 (9.13-16.4) 30.0 (22.1-40.5)
1-4 weeks 1.84 (1.56-2.16) 1.01 (0.81-1.26) 1.42 (1.06-1.92)
5-28 weeks 1.13 (1.04-1.23) 1.01 (0.86-1.18) 1.05 (0.81-1.36)
29-52 weeks 1.06 (0.97-1.16) - -
53-102 weeks 1.17 (0.99-1.38) - -
Eating disorders
Day 0 29.2 (22.7-37.6) 5.59 (3.26-9.59) 20.9 (11.8-37.0)
1-4 weeks 1.96 (1.61-2.39) 0.88 (0.64-1.21) 1.56 (0.97-2.52)
5-28 weeks 1.26 (1.13-1.41) 0.91 (0.71-1.16) 1.14 (0.73-1.77)
29-52 weeks 1.09 (0.96-1.24) - -
53-102 weeks 1.24 (0.98-1.57) - -
Addiction
Day 0 66.2 (56.9-77.1) 17.0 (12.0-24.1) 44.8 (34.9-57.5)
1-4 weeks 1.45 (1.19-1.78) 0.98 (0.72-1.33) 1.04 (0.73-1.47)
5-28 weeks 0.95 (0.86-1.05) 0.69 (0.53-0.91) 0.77 (0.57-1.05)
29-52 weeks 1.00 (0.89-1.12) - -
53-102 weeks 1.00 (0.79-1.26) - -
Self-harm
Day 0 22.3 (19.2-26.0) 10.9 (8.61-13.9) 12.1 (8.28-17.6)
1-4 weeks 1.21 (1.06-1.37) 1.02 (0.86-1.20) 1.09 (0.83-1.44)
5-28 weeks 1.15 (1.09-1.22) 1.17 (1.04-1.31) 0.92 (0.73-1.15)
29-52 weeks 1.17 (1.10-1.25) - -
53-102 weeks 1.14 (1.01-1.29) - -
Suicide
Day 0 850 (742-975) † †
1-4 weeks 4.18 (2.94-5.94) † †
5-28 weeks 0.85 (0.60-1.19) † †
29-52 weeks 0.83 (0.57-1.20) - -
53-102 weeks 0.86 (0.45-1.65) - -
† Insufficient events for estimation
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Figure 1: Maximally adjusted hazard ratios and 95% CIs for depression and serious mental illness following diagnosis of COVID-19 in the pre-vaccination,
vaccinated and unvaccinated cohorts, overall and by COVID-19 severity. Events on the day of COVID-19 diagnosis (day 0) were excluded.
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Figure 2: Maximally adjusted hazard ratios and 95% CIs for depression and serious mental illness following diagnosis of COVID-19 in the pre-vaccination,
vaccinated and unvaccinated cohorts, by prior history of the outcome. Events on the day of COVID-19 diagnosis (day 0) were excluded.
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Figure 3: Maximally adjusted hazard ratios and 95% confidence intervals for other mental illness events following
diagnosis of COVID-19 in the pre-vaccination, vaccinated and unvaccinated cohorts. Events on the day of COVID-19
diagnosis (day 0) were excluded.
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Figure 4: Absolute excess risk up to 28 weeks for depression and serious mental illness following diagnosis of COVID-19 in the pre-vaccination, vaccinated and
unvaccinated cohorts.
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