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Войти в исследования Schizophrenia research · 2011
Environmental factors and social adjustment as predictors of a first psychosis in subjects at ultra high risk.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Dragt Sara, Nieman Dorien H, Veltman Doede, Becker Hiske E, van de Fliert Reinaud, de Haan Lieuwe, Linszen Don H
Аннотация
BACKGROUND: The onset of schizophrenia is associated with genetic, symptomatic, social and environmental risk factors. The aim of the present study was to determine which environmental factors may contribute to a prediction of a first psychotic episode in subjects at Ultra High Risk (UHR) for developing psychosis.
METHOD: We included 72 UHR subjects and followed them over a period of 36 months, of whom nineteen (26.4%) made a transition to psychosis. We applied survival analyses to determine associations between a transition to psychosis and environmental factors and social adjustment. To determine which items are the best predictors of transition to a first psychotic episode, Cox Regression analyses were applied.
RESULTS: Urbanicity, receiving state benefits and poor premorbid adjustment (PMA) significantly influenced the transition to psychosis. Urbanicity (Wald=10.096, p=.001, HR=30.97), social-sexual aspects (Wald=8.795, p=.003, HR=1.91) and social-personal adjustment (Wald=10.794, p=.001, HR=4.26) appeared to be predictors for developing psychosis in our UHR group.
CONCLUSIONS: Environmental characteristics and social adjustment are predictive of transition to a psychosis in subjects at UHR. These characteristics should be implemented in a model for prediction of psychosis. Such a model would be more specific than current models and may lead to patient-specific preventive interventions.
METHOD: We included 72 UHR subjects and followed them over a period of 36 months, of whom nineteen (26.4%) made a transition to psychosis. We applied survival analyses to determine associations between a transition to psychosis and environmental factors and social adjustment. To determine which items are the best predictors of transition to a first psychotic episode, Cox Regression analyses were applied.
RESULTS: Urbanicity, receiving state benefits and poor premorbid adjustment (PMA) significantly influenced the transition to psychosis. Urbanicity (Wald=10.096, p=.001, HR=30.97), social-sexual aspects (Wald=8.795, p=.003, HR=1.91) and social-personal adjustment (Wald=10.794, p=.001, HR=4.26) appeared to be predictors for developing psychosis in our UHR group.
CONCLUSIONS: Environmental characteristics and social adjustment are predictive of transition to a psychosis in subjects at UHR. These characteristics should be implemented in a model for prediction of psychosis. Such a model would be more specific than current models and may lead to patient-specific preventive interventions.