Evidence map›Paper›PMID 40256447›Full record

ArticleBMJ public health2025

Social determinants of recovery from ongoing symptoms following COVID-19 in two UK longitudinal studies: a prospective cohort study.

Nathan J Cheetham, Vicky Bowyer, María Paz García, Ruth C E Bowyer, J D Carpentieri, Andy Guise, Ellen J Thompson, Carole H Sudre, Erika Molteni, Michela Antonelli and 11 more

Abstract read
In one paragraph

Article in BMJ public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Trends in long COVID among US adults, 2022-2024.Frontiers in public health · 2026
    Article
  3. Review
  4. Article
  5. Article
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

21 authors.

Nathan J CheethamDepartment Of Twin Research & Genetic Epidemiology, King's College London, London, UK.ORCID 0000-0002-2259-1556
Vicky BowyerDepartment Of Twin Research & Genetic Epidemiology, King's College London, London, UK.
María Paz GarcíaDepartment Of Twin Research & Genetic Epidemiology, King's College London, London, UK.
Ruth C E BowyerDepartment Of Twin Research & Genetic Epidemiology, King's College London, London, UK.
J D CarpentieriInstitute of Education, University College London, London, UK.
Andy GuiseDepartment of Population Health Sciences, King's College London, London, UK.
Ellen J ThompsonDepartment Of Twin Research & Genetic Epidemiology, King's College London, London, UK.
Carole H SudreMRC Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, University College London, London, UK.
Erika MolteniSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Michela AntonelliSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Rose S PenfoldEdinburgh Delirium Research Group, Ageing and Health, Usher Institute, The University of Edinburgh, Edinburgh, UK.
Nicholas R HarveyDepartment Of Twin Research & Genetic Epidemiology, King's College London, London, UK.
Liane S CanasSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Khaled RjoobMRC Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, University College London, London, UK.
Benjamin MurraySchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Eric KerfootSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Alexander HammersSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Sebastien OurselinSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Emma L DuncanDepartment Of Twin Research & Genetic Epidemiology, King's College London, London, UK.
Claire J StevesDepartment Of Twin Research & Genetic Epidemiology, King's College London, London, UK.ORCID 0000-0002-4910-048
COVID Symptom Study Biobank Consortium

Funding

Wellcome Trust
6 · The paper itself

Abstract

Introduction: Social gradients in COVID-19 exposure and severity have been observed internationally. Whether combinations of pre-existing social factors, particularly those that confer cumulative advantage and disadvantage, affect recovery from ongoing symptoms following COVID-19 and long COVID is less well understood. Methods: We analysed data on self-perceived recovery following self-reported COVID-19 illness in two UK community-based cohorts, COVID Symptom Study Biobank (CSSB) (N=2548) and TwinsUK (N=1334). Causal effects of sociodemographic variables reflecting status prior to the COVID-19 pandemic on recovery were estimated with multivariable Poisson regression models, weighted for inverse probability of questionnaire participation and COVID-19 infection and adjusted for potential confounders. Associations between recovery and social strata comprising combinations of sex, education level and local area deprivation were estimated using the intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) approach. Further analyses estimated associations with variables reflecting experiences during the pandemic. Results: Gradients in recovery from COVID-19 along the lines of social advantage were observed in intersectional MAIHDA models, with predicted probability of recovery lowest in female strata with lowest education and highest deprivation levels (CSSB: 55.1% (95% CI 44.0% to 65.1%); TwinsUK: 73.9% (95% CI 61.1% to 83.0%)) and highest in male strata with highest education and lowest deprivation levels (CSSB: 79.1% (95% CI 71.8% to 85.1%); TwinsUK: 89.7% (95% CI 82.5% to 94.1%)). Associations were not explained by differences in prepandemic health. Adverse employment, financial, healthcare access and personal experiences during the pandemic were also negatively associated with recovery. Conclusions: Inequalities in likelihood of recovery from COVID-19 were observed, with ongoing symptoms several months after coronavirus infection more likely for individuals with greater social disadvantage prior to the pandemic.

Indexed as

COVID-19SARS-CoV-2Social MedicineSociodemographic Factors

Identifiers

PMID40256447
PMCPMC12007038

What OpenQuestion holds

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Registered trials

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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.