Lama Souaiby1,2, Claire Gauthier1,3,4, Mathilde Kazes1,3,4, Célia Mam-Lam-Fook1,3,4, Claire Daban1,3,4, Marion Plaze1,3,4, Raphaël Gaillard1,3,4, Marie-Odile Krebs1,3,4. 1. Centre Hospitalier Sainte - Anne, Faculty of Medicine Paris Descartes, Service Hospitalo-Universitaire, Paris, France. 2. Department of Psychiatry, Saint Joseph University, Beirut, Lebanon. 3. Université Paris Descartes, INSERM UMR S894, Centre de Psychiatrie et Neurosciences, Laboratoire de Physiopathologie des Maladies Psychiatriques, Paris, France. 4. CNRS GDR3557, Institut de Psychiatrie, France.
Abstract
AIM: Duration of untreated psychosis (DUP), or the time between onset of psychosis and treatment initiation, is a prognostic factor of schizophrenia. However, few studies evaluated the relative influence of individual-related factors on this duration. The objective of this study was to evaluate the influence of socio-demographic, clinical and cannabis use on DUP. METHODS: This study was part of a large prospective study in help-seeking individuals referred to our specialized early detection / intervention clinic in the Service Hospitalo-Universitaire of Sainte-Anne Hospital in Paris (ICAAR study). We explored 33 consecutive patients who crossed the CAARMS' threshold of psychosis. The DUP and cannabis consumption history were explored during the baseline comprehensive assessment using all available sources (direct interviews of patients, parents, practitioners). Correlations between socio-demographic, clinical and cannabis use, and DUP were studied. A multiple linear regression model was used to determine the variables that could significantly predict DUP. RESULTS: When considered individually, none of the socio-demographic and disease characteristic factors was associated with DUP, with the exception of level of education. In the multivariate analysis, age at inclusion, negative symptoms and history of cannabis use significantly influenced DUP. CONCLUSION: The determinants of DUP are multi-factorial and include individual centred factors, such as age, cannabis and negative symptoms. The identification of factors resulting in delayed access to care may promote the development of effective strategies to reduce DUP in early psychosis and target effective early intervention.
AIM: Duration of untreated psychosis (DUP), or the time between onset of psychosis and treatment initiation, is a prognostic factor of schizophrenia. However, few studies evaluated the relative influence of individual-related factors on this duration. The objective of this study was to evaluate the influence of socio-demographic, clinical and cannabis use on DUP. METHODS: This study was part of a large prospective study in help-seeking individuals referred to our specialized early detection / intervention clinic in the Service Hospitalo-Universitaire of Sainte-Anne Hospital in Paris (ICAAR study). We explored 33 consecutive patients who crossed the CAARMS' threshold of psychosis. The DUP and cannabis consumption history were explored during the baseline comprehensive assessment using all available sources (direct interviews of patients, parents, practitioners). Correlations between socio-demographic, clinical and cannabis use, and DUP were studied. A multiple linear regression model was used to determine the variables that could significantly predict DUP. RESULTS: When considered individually, none of the socio-demographic and disease characteristic factors was associated with DUP, with the exception of level of education. In the multivariate analysis, age at inclusion, negative symptoms and history of cannabis use significantly influenced DUP. CONCLUSION: The determinants of DUP are multi-factorial and include individual centred factors, such as age, cannabis and negative symptoms. The identification of factors resulting in delayed access to care may promote the development of effective strategies to reduce DUP in early psychosis and target effective early intervention.
Authors: Valerio Ricci; Giovanni Martinotti; Franca Ceci; Stefania Chiappini; Francesco Di Carlo; Julius Burkauskas; Ottavia Susini; Debora Luciani; Diego Quattrone; Domenico De Berardis; Mauro Pettorruso; Giuseppe Maina; Massimo Di Giannantonio Journal: Int J Environ Res Public Health Date: 2021-11-30 Impact factor: 3.390