Back to Search Start Over

Association Between COVID-19 and Self-Harm: Nationwide Retrospective Ecological Spatiotemporal Study in Metropolitan France.

Authors :
Baillet M
Wathelet M
Lamer A
Frévent C
Fovet T
D'Hondt F
Notredame CE
Vaiva G
Génin M
Source :
JMIR public health and surveillance [JMIR Public Health Surveill] 2024 Aug 27; Vol. 10, pp. e52759. Date of Electronic Publication: 2024 Aug 27.
Publication Year :
2024

Abstract

Background: The COVID-19 pandemic has not been associated with increases in suicidal behavior at the national, regional, or county level. However, previous studies were not conducted on a finer scale or adjusted for ecological factors.<br />Objective: Our objective was to assess the fine-scale spatiotemporal association between self-harm and COVID-19 hospitalizations, while considering ecological factors.<br />Methods: Using the French national hospital discharge database, we extracted data on hospitalizations for self-harm of patients older than 10 years (from 2019 to 2021) or for COVID-19 (from 2020 to 2021) in metropolitan France. We first calculated monthly standardized incidence ratios (SIRs) for COVID-19 between March 2020 and December 2021, using a Besag, York, and Mollié spatiotemporal model. Next, we entered the SIRs into an ecological regression in order to test the association between hospital admissions for self-harm and those for COVID-19. Lastly, we adjusted for ecological variables with time lags of 0 to 6 months.<br />Results: Compared with a smoothed SIR of ≤1, smoothed SIRs from 1 to 3, from 3 to 4, and greater than 4 for COVID-19 hospital admissions were associated with a subsequent increase in hospital admissions for self-harm, with a time lag of 2 to 4 months, 4 months, and 6 months, respectively.<br />Conclusions: A high SIR for hospital admissions for COVID-19 was a risk factor for hospital admission for self-harm some months after the epidemic peaks. This finding emphasizes the importance of monitoring and seeking to prevent suicide attempts outside the epidemic peak periods.<br /> (© Maëlle Baillet, Marielle Wathelet, Antoine Lamer, Camille Frévent, Thomas Fovet, Fabien D'Hondt, Charles-Edouard Notredame, Guillaume Vaiva, Michael Génin. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org).)

Details

Language :
English
ISSN :
2369-2960
Volume :
10
Database :
MEDLINE
Journal :
JMIR public health and surveillance
Publication Type :
Academic Journal
Accession number :
39189893
Full Text :
https://doi.org/10.2196/52759