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. Author manuscript; available in PMC: 2019 Apr 1.
Published in final edited form as: Drug Alcohol Depend. 2018 Feb 11;185:198–206. doi: 10.1016/j.drugalcdep.2017.12.015

Table 4.

Hierarchical multivariable logistic regression models predicting resilient versus high-risk groups

Model 1 Model 2 Model 3

OR 95% CI OR 95% CI OR 95% CI
Sociodemographic characteristics and other substance use
 Malea 0.41 (0.51, 3.31) 0.37 (0.04, 3.59) 0.60 (0.04, 9.06)
 Number of parents with SUDb 0.81 (0.14, 4.84) 0.46 (0.06, 3.84) 0.01 (0.00, 1.19)
 Cigarette/other drug usec 0.99 (0.99, 1.00) 0.99 (0.99, 1.00) 0.99 (0.99, 1.00)
Early adolescence (ages 12–14)
 Reactive control 1.68 (0.78, 3.61) 1.80 (0.77, 4.22) 4.96* (1.19, 20.67)
 Externalizing behavior 0.95 (0.82, 1.10) 0.99 (0.85, 1.16) 1.00 (0.85, 1.18)
Late adolescence (ages 17–18)
 Reactive control 0.74 (0.21, 2.61) 0.20 (0.02, 1.72)
 Externalizing behavior 0.77 (0.59, 1.00) 0.64* (0.43, 0.96)
Neural activation go/no-go taskd
 Right dorsolateral prefrontal cortex 2.46* (1.03, 5.84)
 Nagelkerke R2 0.28 0.42 0.61
 Model χ2 8.17 13.33 20.29**

Note. OR = odds ratio; CI = 95% confidence intervals; SUD = substance use disorder;

a

Reference group female;

b

Reference group one parent with SUD;

c

Sum of cigarette and other drug use occasions during the past year from ages 17 to 26;

d

Correct inhibition versus baseline contrast.

*

p < 0.05

**

p < 0.01

***

p < 0.001

p = 0.05