Study register · detail
No benefit demonstrated
GRADE
Low
58 citations
Samplen = 170 Pat.
Durationfour years
EndpointConversion rate to psychosis
Blindingn.a.
DesignProspektive Kohortenstudie
Key finding
Cannabis and tobacco use did not predict psychosis conversion in CHR individuals; only low alcohol consumption showed a predictive contribution.
Summary
Prospective cohort study (n=170 individuals with clinically high risk of psychosis), 4-year follow-up (PREDICT study, 3 sites); Cox proportional hazards analysis: cannabis use at baseline was not a significant predictor of conversion to psychosis (no significant HR), while low alcohol consumption was identified as a predictor.
P
PopulationAdolescents and young adults with clinically high risk of psychosis (CHR), n=170, recruited at three sites
I
InterventionSubstance use (alcohol, tobacco, cannabis) – assessed with the Alcohol and Drug Use Scale
O
OutcomeLow alcohol consumption (but not cannabis or tobacco use) was a significant predictor of conversion to psychosis in the Cox model; cannabis and tobacco not significant
Confidence in the evidence
Low
The second of four GRADE levels, the effect estimate is of limited reliability.
Quality profile
Sample size
★★★★★
Blinding
—
Effect size
No benefit
Citations / year
★★★★★
Authors
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Abstract
Elevated rates of substance use (alcohol, tobacco, cannabis) have been reported in people at clinical high risk (CHR) of developing psychosis and there is some evidence that substance use may be higher in those who convert to a psychosis compared to non-converters. However little is known about the predictive value of substance use on risk of conversion to psychosis in those at CHR of psychosis. In the current study, 170 people at CHR of psychosis were assessed at baseline on severity of alcohol, tobacco and cannabis using the Alcohol and Drug Use Scale. Participants were recruited across three sites over a four year period as part of the Enhancing the Prospective Prediction of Psychosis (PREDICT) study. Predictors of conversion to psychosis were examined using Cox proportional hazards models. Results revealed that low use of alcohol, but neither cannabis use nor tobacco use at baseline, contributed to the prediction of psychosis in the CHR sample. Prediction algorithms incorporating combinations of additional baseline variables known to be associated with psychotic conversion may result in increased predictive power compared with substance use alone.
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