Title :

Trust in sources of information on COVID-19 at the beginning of the pandemic's first wave and incident persistent symptoms in the population-based CONSTANCES cohort: A prospective study.

Author(s) :

Matta, Joane [Auteur]
Université Paris Cité [UPCité]
Wiernik, Emmanuel [Auteur]
Université Paris Cité [UPCité]
Robineau, Olivier [Auteur]
Centre Hospitalier de Tourcoing
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Institut Pierre Louis d'Epidémiologie et de Santé Publique [iPLESP]
Severi, Gianluca [Auteur]
Institut Gustave Roussy [IGR]
Touvier, Mathilde [Auteur]
Université Sorbonne Paris Nord
Gouraud, Clément [Auteur]
Hôpital Hôtel-Dieu [Paris]
Ouazana-Vedrines, Charles [Auteur]
Hôpital Hôtel-Dieu [Paris]
Université Paris Cité [UPCité]
Pitron, Victor [Auteur]
Sommeil-Vigilance-Fatigue et Santé Publique [VIFASOM (URP_7330)]
Centre du Sommeil et de la Vigilance [Paris]
Ranque, Brigitte [Auteur]
Hôpital Européen Georges Pompidou [APHP] [HEGP]
Hoertel, Nicolas [Auteur]
Hôpital Corentin Celton [Issy-les-Moulineaux]
Université Paris Cité [UPCité]
Van Den Bergh, Omer [Auteur]
Catholic University of Leuven = Katholieke Universiteit Leuven [KU Leuven]
Witthöft, Michael [Auteur]
Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University [JGU]
Kab, Sofiane [Auteur]
Université Paris Cité [UPCité]
Goldberg, Marcel [Auteur]
Université Paris Cité [UPCité]
Zins, Marie [Auteur]
Université Paris Cité [UPCité]
Lemogne, Cédric [Auteur]
306007|||Hôpital Hôtel-Dieu [Paris] (VALID)
Université Paris Cité [UPCité]

Journal title :

Journal of Psychosomatic Research

Abbreviated title :

J Psychosom Res

Volume number :

169

Pages :

111326

Publication date :

2023-04-20

ISSN :

1879-1360

English keyword(s) :

Risk factors
Persistent symptoms
Post-COVID condition
Media

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [en]

Objective: To examine the association between trust in different sources of information on COVID-19 at the beginning of the pandemic and the burden of incident persistent symptoms. Methods: This prospective study used data ...
Show more >Objective: To examine the association between trust in different sources of information on COVID-19 at the beginning of the pandemic and the burden of incident persistent symptoms. Methods: This prospective study used data from the SAPRIS and SAPRIS-Sérologie surveys nested in the French CONSTANCES population-based cohort. Trust in different information sources was measured between April 6 and May 4, 2020. Persistent symptoms that emerged afterwards were self-reported between December 2020 and January 2021. The associated psychological burden was measured with the somatic symptom disorder B criteria scale (SSD-12). The analyses were adjusted for gender, age, education, income, self-rated health, SARS-CoV-2 serology tests, and self-reported COVID-19. Results: Among 20,985 participants [mean age (SD), 49.0 years (12.7); 50.2% women], those with higher trust in government/journalists at baseline had fewer incident persistent symptoms at follow-up (estimate (SE) for one IQR increase: −0.21 (0.03), p < 0.001). Participants with higher trust in government/journalists and medical doctors/scientists were less likely to have ≥1 symptom (odds ratio (95% confidence interval) for one IQR increase: 0.87 (0.82–0.91) and 0.91 (0.85–0.98), respectively). Among 3372 participants (16.1%) who reported ≥1 symptom, higher trust in government/journalists and medical doctors/scientists predicted lower SSD-12 scores (−0.39 (0.17), p = 0.02 and − 0.85 (0.24), p < 0.001, respectively), whereas higher trust in social media predicted higher scores in those with lower trust in government/journalists (0.90 (0.34), p = 0.008). These associations did not depend upon surrogate markers of infection with SARS-CoV-2. Conclusions: Trust in information sources on COVID-19 may be associated with incident persistent symptoms and associated psychological burden, regardless of infection with SARS-CoV-2.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
CHU Lille

Collections :

• METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694

Submission date :

2023-11-15T02:10:57Z
2024-04-02T13:40:28Z