Table 2.
Use (vs. non-use) of | UHR | FEP | |||
---|---|---|---|---|---|
Predictor | OR (95% CI) | p-value | OR (95% CI) | p-value | |
Any illicit substance | BPRS-psychosis | 1.05 (0.99–1.11) | 0.1 | 1.06 (1.02–1.11) | 0.008 |
BPRS- negative | 0.90 (0.82–0.98) | 0.022 | 0.92 (0.86–0.99) | 0.028 | |
K10 | 1.01 (0.99–1.04) | 0.2 | 1.02 (1.00–1.04) | 0.1 | |
SOFAS | 0.99 (0.97–1.01) | 0.3 | 1.01 (0.99–1.02) | 0.2 | |
ATS | BPRS-psychosis | 1.06 (0.98–1.14) | 0.2 | 1.07 (1.02–1.12) | 0.004 |
BPRS- negative | 0.87 (0.76–0.99) | 0.036 | 0.92 (0.86–1.00) | 0.039 | |
K10 | 1.01 (0.98–1.04) | 0.6 | 1.01 (0.99–1.03) | 0.4 | |
SOFAS | 0.99 (0.97–1.01) | 0.5 | 0.99 (0.98–1.01) | 0.3 | |
Cannabis | BPRS-psychosis | 1.05 (1.00–1.12) | 0.07 | 1.05 (1.01–1.10) | 0.025 |
BPRS- negative | 0.90 (0.83–0.99) | 0.025 | 0.94 (0.88–1.01) | 0.1 | |
K10 | 1.01 (0.99–1.03) | 0.2 | 1.01 (0.99–1.03) | 0.2 | |
SOFAS | 0.99 (0.98–1.01) | 0.4 | 1.01 (0.99–1.02) | 0.3 | |
Tobacco | BPRS-psychosis | 1.05 (0.99–1.11) | 0.1 | 1.05 (1.00–1.09) | 0.05 |
BPRS- negative | 0.92 (0.84–1.01) | 0.07 | 0.92 (0.87–0.98) | 0.01 | |
K10 | 1.01 (0.99–1.04) | 0.3 | 1.00 (0.98–1.02) | 0.8 | |
SOFAS | 1.00 (0.98–1.01) | 0.7 | 0.99 (0.98–1.01) | 0.3 |
P values in bold signify a statistically significant difference
Odds ratio (OR) of substance use (dependent variable) associated with one unit increase in clinical and functional measures (independent variable) estimated from multivariate logistic regression model controlling for confounding factors including age, gender, sexual orientation, Aboriginal and Torres Strait Islander (ATSI), and culturally and linguistically diverse (CALD) status. Missing data were imputed via MICE using 20 imputed datasets
aillicit substance includes cannabis, amphetamine-type stimulants (ATS), cocaine, hallucinogens, and opioids (i.e. does not include the non-medicinal use of pharmaceuticals)