Skip to main content
. 2023 Feb 20;58(10):1447–1456. doi: 10.1007/s00127-023-02436-w

Table 2.

Odds ratio (OR) of clinical and functional measures associated with the use of different types of substance estimated from multivariate logistic regression

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)