Evidence map›Paper›PMID 39189893›Full record

ArticleJMIR public health and surveillance2024

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

Maëlle Baillet, Marielle Wathelet, Antoine Lamer, Camille Frévent, Thomas Fovet, Fabien D'Hondt, Charles-Edouard Notredame, Guillaume Vaiva, Michael Génin

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Maëlle BailletUniv. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, Lille, France.ORCID 0009-0009-9161-4756
Marielle WatheletUniv. Lille, INSERM, CHU Lille, U1172 - Lille Neuroscience & Cognition, Lille, France.ORCID 0000-0002-3301-4148
Antoine LamerUniv. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, Lille, France.ORCID 0000-0002-9546-1808
Camille FréventUniv. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, Lille, France.ORCID 0000-0001-5161-0755
Thomas FovetUniv. Lille, INSERM, CHU Lille, U1172 - Lille Neuroscience & Cognition, Lille, France.ORCID 0000-0003-0077-624X
Fabien D'HondtUniv. Lille, INSERM, CHU Lille, U1172 - Lille Neuroscience & Cognition, Lille, France.ORCID 0000-0001-5683-0490
Charles-Edouard NotredameUniv. Lille, INSERM, CHU Lille, U1172 - Lille Neuroscience & Cognition, Lille, France.ORCID 0000-0002-7390-6298
Guillaume VaivaUniv. Lille, INSERM, CHU Lille, U1172 - Lille Neuroscience & Cognition, Lille, France.ORCID 0000-0003-2462-008X
Michael GéninUniv. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, Lille, France.ORCID 0000-0002-9098-7528

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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. Objective: Our objective was to assess the fine-scale spatiotemporal association between self-harm and COVID-19 hospitalizations, while considering ecological factors. 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. 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. 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.

Indexed as

COVID-19HospitalizationSelf-Injurious BehaviorSpatio-Temporal AnalysisAdolescentAdultAgedChildFemaleFranceHumansIncidenceMaleMiddle AgedRetrospective StudiesYoung AdultCOVID-19data reuseecological regressionself-harmspatiotemporal analysis

Identifiers

PMID39189893
PMCPMC11370185

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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.