Modeling the Longitudinal Effects of Insight on Depression, Quality of Life and Suicidality in Schizophrenia Spectrum Disorders: Results from the FACE-SZ Cohort.

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2019
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Abstract
Up to half of the patients with schizophrenia attempt suicide during their lifetime. Better insight is associated with better functioning but also with increased suicidality. The direction of the relationship between insight and suicidality is not clear, hence we aimed to provide new elements using structural equation modeling.Insight, quality of life (QoL), depression, and suicidality were measured at baseline and at 12 months in individuals with schizophrenia spectrum disorders. The relationships between these variables were investigated by latent difference score models, controlling for chlorpromazine doses, positive and negative symptoms, and general psychopathology.738 patients were included, and 370 completed the study. Baseline levels of insight predicted changes in suicidality, whereas baseline levels of suicidality did not predict changes in insight, suggesting that better insight underlies suicidality and predicts its worsening. Our results suggest this temporal sequence: better insight → worse QoL → increased depression → increased suicidality, while insight also affects the three variables in parallel.Better insight predicts a worsening of QoL, depression and suicidality. These findings contribute to our global understanding of the longitudinal influence of insight on suicidality. We advocate that insight-targeted interventions should not be proposed without the monitoring of depression and suicide prevention.
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Authors Ehrminger, Mickaël;Urbach, Mathieu;Passerieux, Christine;Aouizerate, Bruno;Berna, Fabrice;Bohec, Anne-Lise;Capdevielle, Delphine;Chereau, Isabelle;Clauss, Julie;Dubertret, Caroline;Esselin, Aurélie;Faget, Catherine;Fond, Guillaume;Honciuc, Roxana Mihaela;Jarroir, Marine;Mallet, Jasmina;Misdrahi, David;Pignon, Baptiste;Rey, Romain;Schürhoff, Franck;Yazbek, Hanan;Brunet-Gouet, Eric;Roux, Paul;
Journal journal of clinical medicine
Year 2019
DOI
E1196
URL
Keywords
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