Imperial College London
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ProfessorAdamHampshire

Faculty of Medicine, Department of Brain Sciences

Visiting Professor
 
 
 
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Contact

 

+44 (0)20 7594 7993a.hampshire

 
 
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Location

 

Burlington DanesHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Hampshire:2022:10.1016/j.comppsych.2022.152298,
author = {Hampshire, A and Trender, W and Grant, JE and Mirza, MB and Moran, R and Hellyer, PJ and Chamberlain, SR},
doi = {10.1016/j.comppsych.2022.152298},
journal = {Comprehensive Psychiatry},
pages = {1--18},
title = {Item-level analysis of mental health symptom trajectories during the COVID-19 pandemic in the UK: Associations with age, sex and pre-existing psychiatric conditions},
url = {http://dx.doi.org/10.1016/j.comppsych.2022.152298},
volume = {114},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BackgroundThere is widespread concern regarding how the COVID-19 pandemic has affected mental health. Emerging meta-analyses suggest that the impact on anxiety/depression may have been transient, but much of the included literature has major methodological limitations. Addressing this topic rigorously requires longitudinal data of sufficient scope and scale, controlling for contextual variables, with baseline data immediately pre-pandemic.AimsTo analyse self-report of symptom frequency from two largely UK-based longitudinal cohorts: Cohort 1 (N = 10,475, two time-points: winter pre-pandemic to UK first winter resurgence), and Cohort 2 (N = 10,391, two time-points, peak first wave to UK first winter resurgence).MethodMultinomial logistic regression applied at the item level identified sub-populations with greater probability of change in mental health symptoms. Permutation analyses characterised changes in symptom frequency distributions. Cross group differences in symptom stability were evaluated via entropy of response transitions.ResultsAnxiety was the most affected aspect of mental health. The profiles of change in mood symptoms was less favourable for females and older adults. Those with pre-existing psychiatric diagnoses showed substantially higher probability of very frequent symptoms pre-pandemic and elevated risk of transitioning to the highest levels of symptoms during the pandemic. Elevated mental health symptoms were evident across intra-COVID timepoints in Cohort 2.ConclusionsThese findings suggest that mental health has been negatively affected by the pandemic, including in a sustained fashion beyond the first UK lockdown into the first winter resurgence. Women, and older adults, were more affected relative to their own baselines. Those with diagnoses of psychiatric conditions were more likely to experience transition to the highest levels of symptom frequency.
AU  - Hampshire,A
AU  - Trender,W
AU  - Grant,JE
AU  - Mirza,MB
AU  - Moran,R
AU  - Hellyer,PJ
AU  - Chamberlain,SR
DO  - 10.1016/j.comppsych.2022.152298
EP  - 18
PY  - 2022///
SN  - 0010-440X
SP  - 1
TI  - Item-level analysis of mental health symptom trajectories during the COVID-19 pandemic in the UK: Associations with age, sex and pre-existing psychiatric conditions
T2  - Comprehensive Psychiatry
UR  - http://dx.doi.org/10.1016/j.comppsych.2022.152298
UR  - https://www.sciencedirect.com/science/article/pii/S0010440X22000049?via%3Dihub
UR  - http://hdl.handle.net/10044/1/94131
VL  - 114
ER  -
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