Table 4.
Regression of SUD individuals without SIPD (n = 360).
| Predictors of Psychoticism scores | r 2 | β | Statistical significance |
|---|---|---|---|
| SCL-90-R Psychoticism | |||
| Model | 0.455 | F = 75.960; p < 0.001 | |
| BDI | 0.389 | t = 7.948; p < 0.001 | |
| BAI | 0.218 | t = 5.519; p < 0.001 | |
| MCMI Cluster A | 0.107 | t = 3.782; p < 0.001 | |
| Cannabis abuse | 2.483 | t = 2.395; p = 0.017 | |
| Schizophrenia Nuclear Symptoms | |||
| Model | 0.266 | F = 64.389; p < 0.001 | |
| BAI | 0.082 | t = 9.105; p < 0.001 | |
| MCMI Cluster A | 0.022 | t = 3.064; p = 0.002 | |
| Schizotypal Signs | |||
| Model | 0.426 | F = 66.379; p < 0.001 | |
| BDI | 0.202 | t = 7.349; p < 0.001 | |
| BAI | 0.100 | t = 4.454; p < 0.001 | |
| MCMI Cluster A | 0.063 | t = 3.889; p < 0.001 | |
| MCMI Cluster B | 0.058 | t = 2.585; p = 0.010 |
BAI = Beck Anxiety Inventory; BDI = Beck Depression Inventory; MCMI Cluster A, B, C = personality traits/disorders; Cluster A (schizoid, paranoid, schizotypal); Cluster B (borderline, antisocial, histrionic, narcissistic); Cluster C (avoidant, dependent, compulsive).