Table 3.
Stepwise logistic regression models predicting current functioning.
| ALFA Domain |
Predictors | B | SE B | Wald | P |
Odds Ratio |
95% CI |
|---|---|---|---|---|---|---|---|
| Paid employment (N = 254) |
Reading Span | .165 | .069 | 5.757 | .016 | 1.180 | 1.031 – 1.350 |
| Antisocial characteristics |
.103 | ||||||
| Premorbid IQ | .192 | ||||||
| History of Heavy Marijuana Use |
.159 | ||||||
| Nagelkerke R2 | .055 | ||||||
| Model χ2 | 5.918 | .015 | |||||
| Living independence (N = 246) |
History of Heavy Stimulant Use |
.851 | .398 | 4.572 | .033 | 2.341 | 1.073 – 5.107 |
| History of Heavy Alcohol Use |
.139 | ||||||
| D-KEFS Trails switching |
.064 | ||||||
| Current smoker | .327 | ||||||
| NagelkerkeR2 | .033 | ||||||
| Model χ2 | 4.345 | .037 | |||||
| Close friendships (N = 235) |
D-KEFS Trails number sequencing |
−.120 | .057 | 4.383 | .036 | .887 | .792 – .992 |
| HAMD depressive symptoms |
−.055 | .028 | 3.994 | .046 | .946 | .897 – .999 | |
| History of Heavy Stimulant Use |
−1.588 | .634 | 6.268 | .012 | .204 | .059 – .708 | |
| NagelkerkeR2 | .111 | ||||||
| Model χ2 | 17.112 | .001 | |||||
| Recreational engagement (N = 252) |
MCCB visual learning |
−.026 | .011 | 5.393 | .020 | .974 | .953 – .996 |
| HAMD depressive symptoms |
−.055 | .025 | 4.937 | .026 | .947 | .902 – .994 | |
| History of Heavy Stimulant Use |
−1.025 | .433 | 5.618 | .018 | .359 | .154 – .837 | |
| NagelkerkeR2 | .088 | ||||||
| Model χ2 | 16.042 | .001 |
Note. ALFA = Assessment of Lifespan Functioning Attainment; D-KEFS = Delis-Kaplan Executive Function System; HAMD = Hamilton Depression Rating Scale; MCCB = MATRICS Consensus Cognitive Battery