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Journal Article Ppublish 7 citations

PubMed: 38960664 DOI: 10.1093/aje/kwae174

Temporal changes in the risk of six-month post-COVID symptoms: a national population-based cohort study.

Am J Epidemiol 194(1):162-171

Authors: Anne Pastorello, Laurence Meyer, Joël Coste, Camille Davisse-Paturet, Xavier de Lamballerie, Maria Melchior, Sophie Novelli, Delphine Rahib, Nathalie Bajos, Cécile Vuillermoz, Jeanna-Eve Franck, Carmelite Manto, Alexandra Rouquette, Josiane Warszawski

Affiliations

  • Paris-Saclay University, University of Versailles Saint-Quentin-en-Yvelines, National Institute of Health and Medical Research, Center for Epidemiology and Population Health, Le Kremlin-Bicêtre, France.
  • Epidemiology and Public Health Department, Assistance Publique-Hôpitaux de Paris Université Paris-Saclay, Le Kremlin-Bicêtre, France.
  • Department of Non-Communicable Diseases and Injuries, French Public Health Agency, Saint-Maurice, France.
  • Emerging Viruses Unit, Aix-Marseille University, French National Research Institute for Sustainable Development 190 - National Institute of Health and Medical Research, University Hospital Institute Méditerranée Infection, Marseille, France.
  • Pierre Louis Institute of Epidemiology and Public Health, Sorbonne University, National Institute of Health and Medical Research, Paris, France.
  • Interdisciplinary Institute of Social Issues - social sciences, politics, health, French National Center for Scientific Research, School for Advanced Studies in Social Sciences, National Institute of Health and Medical Research, Aubervilliers, France.

Abstract

It is unclear how the risk of post-COVID symptoms evolved during the pandemic, especially before the spread of Severe Acute Respiratory Syndrome Coronavirus 2 variants and the availability of vaccines. We used modified Poisson regressions to compare the risk of six-month post-COVID symptoms and their associated risk factors according to the period of first acute COVID: during the French first (March-May 2020) or second (September-November 2020) wave. Nonresponse weights and multiple imputation were used to handle missing data. Among participants aged 15 years or older in a national population-based cohort, the risk of post-COVID symptoms was 14.6% (95% confidence interval [CI], 13.9%-15.3%) in March-May 2020, vs 7.0% (95% CI, 6.3%-7.7%) in September-November 2020 (adjusted relative risk [RR], 1.36; 95% CI, 1.20-1.55). For both periods, the risk was higher in the presence of baseline physical condition(s), and it increased with the number of acute symptoms. During the first wave, the risk was also higher for women, in the presence of baseline mental condition(s), and it varied with educational level. In France in 2020, the risk of six-month post-COVID symptoms was higher during the first than the second wave. This difference was observed before the spread of variants and the availability of vaccines.

MeSH

Epidemiology, Vaccines, Cohort Studies, Public Health, Signs And Symptoms

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