Table 5.
Logistic regression models for jumping to conclusions bias (drawing to decision index)
| DTD (≤2 draws) | β | Error | Sig. | OR [CI 95%] |
|---|---|---|---|---|
| Model 1 | χ2(13) = 266.438; p < 0.001; R2 = 0.184 | |||
| Group (controls) | 0.941 | |||
| FEP | 0.032 | 0.128 | 0.802 | 1.033 [0.803–1.328] |
| Siblings | 0.050 | 0.171 | 0.768 | 1.052 [0.753–1.469] |
| Model 2 | χ2(17) = 280.908; p < 0.001; R2 = 0.193 | |||
| Group (controls) | 0.340 | |||
| FEP | 0.232 | 0.173 | 0.179 | 1.261 [1.261 [0.899–1.769] |
| Siblings | 0.230 | 0.262 | 0.379 | 1.259 [0.754–2.103] |
| Cannabis Use (Never) | <0.001 | |||
| Occasional | −0.508 | 0.137 | <0.001 | 0.602 [0.460–0.787] |
| Daily | −0.471 | 0.201 | 0.019 | 0.625 [0.422–0.925] |
Note. All the models are adjusted for sex, age, ethnicity, years in education, employment, migration, and estimated intelligence quotient (IQ). Age was significant in Model 1 (p < 0.001); ethnicity, education, and IQ were significant in Models 1 and 2 (p < 0.001) (not shown in the Table).
Model 1 = group + sex, age, ethnicity, education, employment, migrant; Model 2 = Model 1 + frequency of cannabis use + Interaction group × frequency of cannabis use (p > 0.05 for all the interactions studied, data not shown). Significant results are highlighted in bold.
Jumping to conclusions bias was defined as a DTD index of 2 or less draws in the beads task.
R2=Nagelkerke's r2; Hosmer–Lemeshow test p > 0.05 for Models 1 and 2.
CI, confidence interval; DTD, drawing to decision; FEP, first-episode psychosis; OR, odds ratio.