Cognitive presentation at psychosis onset through premorbid deterioration and exposure to environmental risk factors
Ferraro, Laura; Di Forti, Marta; La Barbera, Daniele; La Cascia, Caterina; Morgan, Craig; Tripoli, Giada; Jongsma, Hannah; Seminerio, Fabio; Sartorio, Crocettarachele; Sideli, Lucia; Tarricone, Ilaria; Carloni, Anna Lisa; Szoke, Andrei; Pignon, Baptiste; Bernardo, Miguel; De Haan, Lieuwe; Arango, Celso; Velthorst, Eva; Gayer-Anderson, Charlotte; Kirkbride, James; Rutten, Bart P.F.; Lasalvia, Antonio; Tosato, Sarah; Del Ben, Cristina Marta; Menezes, Paulo Rossi; Bobes, Julio; Arrojo, Manuel; Tortelli, Andrea; Jones, Peter; Selten, Jean Paul; Van Os, Jim; Murray, Robin; Quattrone, Diego; Vassos, Evangelos; The WP2 EU-GEI Group
(2025) Psychological medicine, volume 55
(Article)
Abstract
Background Previous studies identified clusters of first-episode psychosis (FEP) patients based on cognition and premorbid adjustment. This study examined a range of socio-environmental risk factors associated with clusters of FEP, aiming a) to compare clusters of FEP and community controls using the Maudsley Environmental Risk Score for psychosis (ERS), a
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weighted sum of the following risks: paternal age, childhood adversities, cannabis use, and ethnic minority membership; b) to explore the putative differences in specific environmental risk factors in distinguishing within patient clusters and from controls. Methods A univariable general linear model (GLS) compared the ERS between 1,263 community controls and clusters derived from 802 FEP patients, namely, low (n = 223) and high-cognitive-functioning (n = 205), intermediate (n = 224) and deteriorating (n = 150), from the EU-GEI study. A multivariable GLS compared clusters and controls by different exposures included in the ERS. Results The ERS was higher in all clusters compared to controls, mostly in the deteriorating (β=2.8, 95% CI 2.3 3.4, η2 = 0.049) and the low-cognitive-functioning cluster (β=2.4, 95% CI 1.9 2.8, η2 = 0.049) and distinguished them from the cluster with high-cognitive-functioning. The deteriorating cluster had higher cannabis exposure (meandifference = 0.48, 95% CI 0.49 0.91) than the intermediate having identical IQ, and more people from an ethnic minority (meandifference = 0.77, 95% CI 0.24 1.29) compared to the high-cognitive-functioning cluster. Conclusions High exposure to environmental risk factors might result in cognitive impairment and lower-than-expected functioning in individuals at the onset of psychosis. Some patients' trajectories involved risk factors that could be modified by tailored interventions.
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Keywords: cannabis, childhood abuse, cluster analysis, IQ, migration, risk factors, Applied Psychology, Psychiatry and Mental health
ISSN: 0033-2917
Publisher: Cambridge University Press
Note: Publisher Copyright: © The Author(s), 2025. Published by Cambridge University Press.
(Peer reviewed)