Evidence map›Paper›PMID 40223130›Full record

ArticleCommunications medicine2025

A multidimensional network of factors associated with long COVID in the French population.

Joël Coste, Cyrille Delpierre, Olivier Robineau, Melissa Rushyizekera, Jean-Baptiste Richard, Caroline Alleaume, Anne Gallay, Sarah Tebeka, Olivier Steichen, Cédric Lemogne and 1 more

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

11 authors.

Joël CosteFrench Public Health Agency (Santé Publique France), Saint-Maurice, France. joel.coste@santepubliquefrance.fr.ORCID http://orcid.org/0000-0001-7674-7192
Cyrille DelpierreCERPOP, UMR 1295, Inserm Université Toulouse III, Toulouse, France.
Olivier RobineauService Universitaire des Maladies Infectieuses, Centre Hospitalier Gustave Dron, Tourcoing, France.
Melissa RushyizekeraFrench Public Health Agency (Santé Publique France), Saint-Maurice, France.
Jean-Baptiste RichardFrench Public Health Agency (Santé Publique France), Saint-Maurice, France.
Caroline AlleaumeFrench Public Health Agency (Santé Publique France), Saint-Maurice, France.
Anne GallayFrench Public Health Agency (Santé Publique France), Saint-Maurice, France.
Sarah TebekaUniversité Paris Cité, INSERM UMR1266, Institute of Psychiatry and Neurosciences, Team 1, Paris, France.
Olivier SteichenSorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, UMR-S, 1136, Paris, France.ORCID http://orcid.org/0000-0002-1185-0372
Cédric LemogneUniversité Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Paris, France.ORCID http://orcid.org/0000-0002-3487-4721
Tatjana T MakovskiFrench Public Health Agency (Santé Publique France), Saint-Maurice, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVarious factors associated with long COVID have been evidenced, but the heterogeneity of definitions and epidemiological investigations has often hidden risk pathways relevant for understanding and preventing this condition.

methodsThis nationwide random sampling survey conducted in France after the Omicron waves in autumn 2022 assessed eight sets of factors potentially associated with long COVID in a structured epidemiological investigation based on a conceptual model accounting for the relationships between these sets of factors. A representative sample of 1813 adults of whom 55% were infected with SARS-CoV-2 was assessed for infection dates and context, post-COVID symptoms and these factors. Four definitions of long COVID, including the World Health Organisation's, were used.

resultsFemale sex, household size (≥2), low financial security, negative impact of COVID-19 pandemic on occupation and work conditions, number of comorbidities (≥2), presence of respiratory disease, mental and sensory disorders, number of SARS-CoV-2 infections (≥2) and initial symptoms (≥6), perceived high severity of COVID-19 are positively and consistently associated with long COVID. Age ≥ 75 years, retirement, SARS-CoV-2 vaccination (≥2 doses) and good perceived information regarding long Covid are negatively associated with the condition.

conclusionsThe broad spectrum of factors confirmed here strongly suggests that long COVID should be regarded not only as a direct complication of SARS-CoV-2 infection but also as driven by a broader network of contextual, medical, psychological and social factors. These factors should be better considered in strategies aimed at limiting the long COVID burden in the general population.

Identifiers

PMID40223130
PMCPMC11994787

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.