ArticleSchizophrenia bulletin2023
Understanding Lifelong Factors and Prediction Models of Social Functioning After Psychosis Onset Using the Large-Scale GROUP Cohort Study.
Article in Schizophrenia bulletin, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Childhood premorbid adjustment as a marker for 20-year impairments in schizophrenia spectrum disorder: results from the OPUS study.European child & adolescent psychiatry · 2026Trial
- Premorbid functioning trajectories and the one-year course of cognitive performance in first-episode psychosis: a cluster analysis in PSYSCAN.Schizophrenia research. Cognition · 2026Article
- Interrelationships of long-term changes in recovery domains among patients with schizophrenia spectrum disorders: a six-year follow-up study.BMC psychiatry · 2025Article
- Shaping tomorrow's support: baseline clinical characteristics predict later social functioning and quality of life in schizophrenia spectrum disorder.Social psychiatry and psychiatric epidemiology · 2024Article
- Moving from supported to independent living: what are the barriers and facilitators for individuals with psychosis?Social psychiatry and psychiatric epidemiology · 2024Article
- Deep Clinical Phenotyping of Schizophrenia Spectrum Disorders Using Data-Driven Methods: Marching towards Precision Psychiatry.Journal of personalized medicine · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
background and hypothesisCurrent rates of poor social functioning (SF) in people with psychosis history reach 80% worldwide. We aimed to identify a core set of lifelong predictors and build prediction models of SF after psychosis onset. STUDY
designWe utilized data of 1119 patients from the Genetic Risk and Outcome in Psychosis (GROUP) longitudinal Dutch cohort. First, we applied group-based trajectory modeling to identify premorbid adjustment trajectories. We further investigated the association between the premorbid adjustment trajectories, six-year-long cognitive deficits, positive, and negative symptoms trajectories, and SF at 3-year and 6-year follow-ups. Next, we checked associations between demographics, clinical, and environmental factors measured at the baseline and SF at follow-up. Finally, we built and internally validated 2 predictive models of SF. STUDY
resultsWe found all trajectories were significantly associated with SF (P < .01), explaining up to 16% of SF variation (R2 0.15 for 3- and 0.16 for 6-year follow-up). Demographics (sex, ethnicity, age, education), clinical parameters (genetic predisposition, illness duration, psychotic episodes, cannabis use), and environment (childhood trauma, number of moves, marriage, employment, urbanicity, unmet needs of social support) were also significantly associated with SF. After validation, final prediction models explained a variance up to 27% (95% CI: 0.23, 0.30) at 3-year and 26% (95% CI: 0.22, 0.31) at 6-year follow-up.
conclusionsWe found a core set of lifelong predictors of SF. Yet, the performance of our prediction models was moderate.
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