Centre de Recherche en épidémiologie et Santé des populations


INSERM, 16 Avenue Paul Vaillant Couturier, 94800 Villejuif

DevPsy, Psychiatrie du Développement
cognition; quality of life; schizophrenia
Length of internship
french; english
Several previous studies have explored the impact of neurocognition on quality of life in schizophrenia. However, the results are contradictory, as several authors have found a positive association between cognitive performance and quality of life (Herman, 2004; Alptekin et al., 2005; Savilla et al., 2008; Woon et al., 2010; Kim et al., 2021), while others have reported a negative association (Narvaez et al., 2008; Meesters et al., 2013; DeRosse et al., 2018; Kurtz et al., 2019). Finally, other studies report no significant association (Brissos et al., 2008; Chino et al., 2009). In this context, we propose to conduct a systematic review of the literature using the PRISMA method to identify moderators who explain the heterogeneity of the links between neurocognition and quality of life in schizophrenia. In this project, we will then conduct a meta-analysis to measure the size of this association and reduce heterogeneity by grouping studies according to the moderators identified above (type of quality of life measure? type of neuropsychological measures? duration of disorder evolution? control for confounding factors in the association such as depression, insight or self-stigmatization?) and specifying the effect sizes in these subgroups. We will also conduct a multivariate analysis by meta-analytic SEM (metaSEM) to estimate a multiple regression model with the different neuropsychological domains as predictors and quality of life as a dependent variable. The metaSEM will evaluate the unique and combined predictive capacity of quality of life through the different neuropsychological dimensions. The unique predictive capacity of a domain measures the impact of that domain by controlling for the influence of other domains.