Exploring seasonality in catatonia diagnosis: Evidence from a large-scale population study.

Catatonia Catatonic syndrome Diagnosis of catatonia Onset of catatonia Seasonality Seasons

Journal

Psychiatry research
ISSN: 1872-7123
Titre abrégé: Psychiatry Res
Pays: Ireland
ID NLM: 7911385

Informations de publication

Date de publication:
01 Dec 2023
Historique:
received: 29 07 2023
revised: 12 11 2023
accepted: 29 11 2023
medline: 11 12 2023
pubmed: 11 12 2023
entrez: 10 12 2023
Statut: aheadofprint

Résumé

Catatonia is a severe psychomotor syndrome mainly associated with psychiatric disorders, such as mood disorders and schizophrenia. Seasonal patterns have been described for these psychiatric disorders, and a previous study conducted in South London showed for the first time a seasonal pattern in the onset of catatonia. In this study, we aim to extend those findings to a larger national sample of patients admitted to French metropolitan hospitals, between 2015 and 2022, and to perform subgroup analyses by the main associated psychiatric disorder. A total of 6225 patients diagnosed with catatonia were included. A seasonal pattern for catatonia diagnosis was described, using cosinor models. Two peaks of diagnoses for catatonic cases were described in March and around September-October. Depending on the associated psychiatric disorder, the seasonality of catatonia diagnosis differed. In patients suffering with mood disorders, peaks of catatonia diagnosis were found in March and July. For patients suffering with schizophrenia, no seasonal pattern was found.

Identifiants

pubmed: 38071881
pii: S0165-1781(23)00602-9
doi: 10.1016/j.psychres.2023.115652
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

115652

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no conflict of interest.

Auteurs

Tomas Mastellari (T)

Univ. Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, F-59000 Lille, France. Electronic address: tomas.mastellari.etu@univ-lille.fr.

Chloé Saint-Dizier (C)

Fédération Régionale de Recherche en Santé Mentale et Psychiatrie, Hauts-de-France, France; Univ. Lille, Faculté Ingénierie et Management de la Santé, Lille F-59000, France.

Thomas Fovet (T)

Univ. Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, F-59000 Lille, France.

Pierre-Alexis Geoffroy (PA)

Département de Psychiatrie et d'Addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hôpital Bichat - Claude Bernard, F-75018 Paris, France; Université Paris Cité, NeuroDiderot, Inserm, FHU I2-D2, F-75019 Paris, France; GHU Paris - Psychiatry & Neurosciences, 1 rue Cabanis, 75014 Paris, France.

Jonathan Rogers (J)

Division of Psychiatry, University College London, London, UK; South London and Maudsley NHS Foundation Trust, London, UK.

Antoine Lamer (A)

Fédération Régionale de Recherche en Santé Mentale et Psychiatrie, Hauts-de-France, France; Univ. Lille, Faculté Ingénierie et Management de la Santé, Lille F-59000, France; Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des Technologies de Santé et des Pratiques Médicales, Lille F-59000, France.

Ali Amad (A)

Univ. Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, F-59000 Lille, France.

Classifications MeSH