Evidence map›Paper›PMID 40518292›Full record

Observational studyBMJ open respiratory research2025

Bidirectional relationship between sleep problems and long COVID: a longitudinal analysis of data from the COVIDENCE UK study.

Giulia Vivaldi, Mohammad Talaei, John Blaikley, Callum Jackson, Paul E Pfeffer, Seif O Shaheen, Adrian R Martineau

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in BMJ open respiratory research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04330599 (Longitudinal Population-based Observational Study of COVID-19 in the UK Population), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04330599 recruitingnot on this map

Longitudinal Population-based Observational Study of COVID-19 in the UK Population

TypeobservationalSponsorQueen Mary University of LondonRan2020 to 2026Enrolled13,000ConditionsCOVID-19
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Giulia VivaldiBlizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0003-0816-9276
Mohammad TalaeiWolfson Institute of Population Health, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
John BlaikleyFaculty of Biology, Medicine, and Health, The University of Manchester, Manchester, UK.
Callum JacksonDepartment of Mathematics, The University of Manchester, Manchester, UK.
Paul E PfefferBarts Health NHS Trust, London, UK.
Seif O ShaheenWolfson Institute of Population Health, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Adrian R MartineauBlizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK a.martineau@qmul.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies into the bidirectional relationship between sleep and long COVID have been limited by retrospective pre-infection sleep data and infrequent post-infection follow-up. We therefore used prospectively collected monthly data to evaluate how pre-infection sleep characteristics affect risk of long COVID and to track changes in sleep duration during the year after SARS-CoV-2 infection.

methodsCOVIDENCE UK is a prospective, population-based UK study of COVID-19 in adults. We included non-hospitalised participants with evidence of SARS-CoV-2 infection and used logistic regression to estimate adjusted ORs for the association between preinfection sleep characteristics and long COVID. We assessed post-infection sleep duration using multilevel mixed models. We collected sleep data from participants using a subset of questions from the Pittsburgh Sleep Quality Index. We defined long COVID as unresolved symptoms at least 12 weeks after infection. COVIDENCE UK is registered with ClinicalTrials.gov, NCT04330599.

resultsWe included 3994 participants in our long COVID risk analysis, of whom 327 (8.2%) reported long COVID. We found an inverse relationship between pre-infection sleep quality and risk of long COVID (medium vs good quality: OR 1.37, 95% CI 1.04 to 1.81; medium-low vs good: 1.55, 1.12 to 2.16; low vs good: 1.94, 1.11 to 3.38). Greater variability in pre-infection sleep efficiency was also associated with long COVID when adjusted for infection severity (OR per percentage-point increase 1.07, 1.02 to 1.12). We assessed post-infection sleep duration in 6860 participants, observing a 0.11 hour (95% CI 0.09 to 0.14) increase in the first month after infection compared with pre-infection, with larger increases for more severe infections. After 1 month, sleep duration largely returned to pre-infection levels, although fluctuations in duration lasted up to 6 months after infection among people reporting long COVID.

conclusionsWhile poor-quality sleep before SARS-CoV-2 infection associates with increased risk of long COVID thereafter, changes in sleep duration after infection in these non-hospitalised cases were modest and generally quick to resolve. TRIAL REGISTRATION NUMBER: NCT04330599.

Indexed as

COVID-19Sleep Wake DisordersAdultAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedPost-Acute COVID-19 SyndromeProspective StudiesRisk FactorsSleep QualityUnited KingdomCOVID-19

Identifiers

PMID40518292
PMCPMC12314824

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.