ABSTRACT
ObjectivesThe primary hypothesis was that the risk of incident or repeat psychiatric illness, fatigue and sleep problems increased following COVID-19 infection. The analysis plan was pre-registered (https://osf.io/n2k34/). DesignMatched cohorts were assembled using a UK primary care registry (the CPRD-Aurum database). Patients were followed-up for up to 10 months, from 1st February 2020 to 9th December 2020. SettingPrimary care database of 11,923,499 adults ([≥]16 years). ParticipantsFrom 232,780 adults with a positive COVID-19 test (after excluding those with <2 years historical data or <1 week follow-up), 86,922 without prior mental illness, 19,020 with anxiety or depression, 1,036 with psychosis, 4,152 with fatigue and 4,539 with sleep problems were matched to up to four controls based on gender, general practice and year of birth. A negative control used patients who tested negative for COVID-19 and patients negative for COVID with an influenza diagnosis. Main Outcomes and MeasuresCox proportional hazard models estimated the association between a COVID-19 positive test and subsequent psychiatric morbidity (depression, anxiety, psychosis, or self-harm), sleep problems, fatigue or psychotropic prescribing. Models adjusted for comorbidities, ethnicity, smoking and BMI. ResultsAfter adjusting for observed confounders, there was an association between testing positive for COVID-19 and almost all markers of psychiatric morbidity, fatigue and sleep problems. The adjusted hazard ratio (aHR) for incident psychiatric morbidity was 1.75 (95% CI 1.56-1.96). However, there was a similar risk of incident psychiatric morbidity for those with a negative COVID-19 test (aHR 1.57, 95% CI 1.51-1.63) and a larger increase associated with influenza (aHR 2.97, 95% CI 1.36-6.48). ConclusionsThere is consistent evidence that COVID-19 infection elevates risk of fatigue and sleep problems, however the results from the negative control analysis suggests that residual confounding may be responsible for at least some of the association between COVID-19 and psychiatric morbidity.
Subject(s)
COVID-19ABSTRACT
Background: While some people who have had COVID-19 experience fatigue and sleep problems long after the acute phase of the illness, the proportion affected and the length of time symptoms persist remains uncertain. There are also concerns of an increase in psychiatric illness following COVID-19 infection; however evidence of a direct effect is inconclusive.Methods: This was a retrospective cohort study using a UK primary care registry. Adults with a positive PCR COVID-19 test between 1st February and 8th December 2020 were matched to controls based on gender, general practice and year of birth. Separate matched cohorts were assembled for those with and without prior recorded mental illness, fatigue and sleep problems. Cox proportional hazard models estimated the association between a COVID-19 positive test and subsequent psychiatric morbidity (depression, anxiety, psychosis, or self-harm), sleep problems, fatigue or psychotropic prescribing, adjusted for comorbidities, ethnicity, smoking status and BMI. Interaction with age and area-level deprivation were tested for. Additional cohorts examined those with a negative COVID-19 test and those with influenza symptoms (and a negative COVID-19 test).Results: After adjusting for observed confounders, there was an association between testing positive for COVID-19 (n=232,780) and almost all markers of psychiatric morbidity, psychotropic prescribing, fatigue and sleep problems. The adjusted hazard ratio for any indicator of incident psychiatric morbidity was 1.75 (95% CI: 1.56-1.96) and for new psychotropic prescribing 2.17 (95% CI: 2.00-2.35). However, there was an increased risk of incident psychiatric morbidity for those with a negative COVID-19 test of similar magnitude and a larger increase associated with having influenza.Interpretation: Whilst COVID-19 infection appears to be causing sleep problems and fatigue, there is less clear evidence of an effect on subsequent psychiatric morbidity.Funding Information: This work was funded by the NIHR Greater Manchester Patient Safety Translational Research Centre.Declaration of Interests: TC received ad hoc payments for conducting workshops on evidence-based treatments for persistent physical symptoms. TC has received grants from NIHR programme grants, HTA, RfPB, Guy’s and St Thomas Charity, King’s Challenge Fund. Personal financial interests: TC is the author of several self-help books on chronic fatigue and received royalties in the past. TC received expenses for workshops on evidence-based treatments for persistent physical symptoms for BABCP and IAPT services (travel and accommodation). None of the other authors have any conflicts of interest.Ethics Approval Statement: This study was conducted using data from the CPRD obtained under licence from the UK Medicines and Healthcare products Regulatory Agency (MHRA). The data are provided by patients and collected by the NHS as part of their care and support. The study was approved by the Independent Scientific Advisory Committee for CPRD research (20_094R2).
Subject(s)
Anxiety Disorders , Mental Disorders , Fatigue Syndrome, Chronic , Chronic Disease , COVID-19 , Influenza, HumanABSTRACT
Background: The UK population’s mental health declined at the pandemic onset. Convenience sample surveys indicate recovery began soon after. Using a probability sample, we tracked average mental health during the pandemic, characterised distinct mental health trajectories and identified predictors of deterioration.Methods: Secondary analysis of five waves of UK Household Longitudinal Survey from late April-early October 2020 and pre-pandemic data, 2018-2019. Mental health was assessed in 19,763 adults (≥16 years) using 12-item General Health Questionnaire. Latent class growth models identified discrete mental health trajectories and fixed-effects regression identified predictors of change in mental health.Findings: Average population mental health deteriorated with onset of the pandemic and did not begin improving until July 2020. Latent class analysis identified six distinct mental health trajectories up to October 2020. Three-quarters had consistently good (46·2%) or very good (30·9%) mental health. Two ‘recovery’ groups (15·8%) initially experienced marked declines in mental health, improving to their pre-pandemic levels by October. For 4·8%, mental health steadily deteriorated and for 2·3% it was very poor throughout. These two groups were more likely to have pre-existing mental or physical ill-health, live in deprived neighbourhoods and be non-white. Infection with COVID-19, local lockdown and financial difficulties all predicted subsequent mental health deterioration.Interpretation: Between April-October 2020, the mental health of most UK adults remained resilient or returned to pre-pandemic levels. One-in-fourteen experienced deteriorating or consistently poor mental health. People living in areas affected by lockdown, struggling financially, with pre-existing conditions or COVID infection might benefit most from early intervention.Funding Statement: None.Declaration of Interests: None.Ethics Approval Statement: Ethics approval was granted by the University of Essex Ethics Committee for the COVID-19 web and telephone surveys (ETH1920-1271).
Subject(s)
COVID-19 , Intellectual DisabilityABSTRACT
Background: There is growing global concern about the potential impact of the Covid-19 pandemic on population mental health. We examine changes in adult mental health in the UK population before and during the lockdown. Methods: Secondary analysis of the UK Household Longitudinal Study Waves 6 (2014/15) to 9 (2018/19), matched to the Covid-19 web-survey completed by 17,452 panel members 23-29 April 2020. Mental health was assessed using the 12-item General Health Questionnaire (GHQ). Repeated cross-sectional analyses were conducted to examine annual temporal trends. Fixed effects regression models were fitted to identify within-person change compared to preceding trends. Findings: Mean population GHQ-12 score increased from 11·5 (95% confidence interval: 11·3–11·6) in 2018/19 to 12·6 (12·5–12·8) in April 2020, one month into lockdown. This was 0·48 (0·07-0·90) points higher than expected when accounting for prior upward trends between 2013 and 2019. Comparing scores within-individuals, adjusting for time-trends and predictors, increases were greatest in 18-24-year-olds (2·7, 1·89-3·48), 25-34-year-olds (1·6, 0·96-2·18), women (0·9, 0·50-1·35), and people living with young children (1·45, 0·79-2·12). People employed before the pandemic averaged a notable increase (0·6; 0·20-1·06). Interpretation: In late April 2020, mental health in the UK deteriorated compared to trends pre-Covid, particularly in young people, women and those living with young children. Those in employment before the pandemic also experienced greater deterioration one month into lockdown, perhaps due to actual or anticipated redundancy. While deterioration occurred across income groups, we anticipate inequalities may widen over time, as in other causes of recessions.Funding Statement: This study was unfunded.Declaration of Interests: The authors declare no competing interests. Ethics Approval Statement: The data used are publicly available via UK Data Service repository (study numbers 6614 and 8644), and do not require ethical assessment for academic research purposes.