{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T20:48:08Z","timestamp":1786999688684,"version":"build-2736575974"},"reference-count":73,"publisher":"Cambridge University Press (CUP)","license":[{"start":{"date-parts":[[2024,11,14]],"date-time":"2024-11-14T00:00:00Z","timestamp":1731542400000},"content-version":"unspecified","delay-in-days":318,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Epidemiol Psychiatr Sci"],"published-print":{"date-parts":[[2024]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec id=\"S2045796024000568_sec1a\">\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>The impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection on the risk of self-harming behaviours warrants further investigation. Here, we hypothesized that people with a history of hospitalization for self-harm may be particularly at risk of readmission in case of SARS-CoV-2 hospitalization.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S2045796024000568_sec2b\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We conducted a retrospective analysis based on the French national hospitalization database. We identified all patients hospitalized for deliberate self-harm (10th edition of the International Classification of Diseases codes X60\u2013X84) between March 2020 and March 2021. To study the effect of SARS-CoV-2 hospitalization on the risk of readmission for self-harm at 1-year of the inclusion, we performed a multivariable Fine and Gray model considering hospital death as a competing event.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S2045796024000568_sec3c\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 61,782 individuals were hospitalized for self-harm. During the 1-year follow-up, 9,403 (15.22%) were readmitted for self-harm. Between inclusion and self-harm readmission or the end of follow-up, 1,214 (1.96% of the study cohort) were hospitalized with SARS-CoV-2 (mean age 60\u00a0years, 52.9% women) while 60,568 were not (mean age 45\u00a0years, 57% women). Multivariate models revealed that the factors independently associated with self-harm readmission were: hospitalization with SARS-CoV-2 (adjusted hazard ratio (aHR)\u00a0=\u00a03.04 [2.73\u20133.37]), psychiatric disorders (aHR\u00a0=\u00a01.61 [1.53\u20131.69]), self-harm history (aHR\u00a0=\u00a02.00 [1.88\u20132.04]), intensive care and age above 80.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S2045796024000568_sec4d\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>In hospitalized people with a personal history of self-harm, infection with SARS-CoV-2 increased the risk of readmission of self-harm, with an effect that seemed to add to the effect of a history of mental disorders, with an equally significant magnitude. Infection may be a significantly stressful condition that precipitates self-harming acts in vulnerable individuals. Clinicians should pay particular attention to the emergence of suicidal ideation in these patients in the aftermath of SARS-CoV-2 infection.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1017\/s2045796024000568","type":"journal-article","created":{"date-parts":[[2024,11,14]],"date-time":"2024-11-14T04:11:21Z","timestamp":1731557481000},"source":"Crossref","is-referenced-by-count":1,"title":["Hospitalization for SARS-CoV-2 and the risk of self-harm readmission: a French nationwide retrospective cohort study"],"prefix":"10.1017","volume":"33","author":[{"given":"Jean-Christophe","family":"Chauvet-Gelinier","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jonathan","family":"Cottenet","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fabrice","family":"Jollant","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5134-9411","authenticated-orcid":false,"given":"Catherine","family":"Quantin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2024,11,14]]},"reference":[{"key":"S2045796024000568_ref50","article-title":"Mental health before and during the COVID-19 pandemic: A longitudinal probability sample survey of the UK population","volume":"7","author":"Pierce","year":"2020","journal-title":"The Lancet 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