Skip to main content
. 2016 Mar 16;77(2):287–297. doi: 10.15288/jsad.2016.77.287

Table 5.

Cross-lag model for mild-depression subsample

graphic file with name jsad.2016.77.287tbl5.jpg

Predictors Cannabis use, age 17 β (SE) Depressive symptoms, age 17 β (SE) Cannabis use, age 20 β (SE) Depressive symptoms, age 20 β (SE) Cannabis use, age 22 β (SE) Depressive symptoms, age 22 β (SE)
Covariates
 Education, age 17 -0.166 (0.065)* -0.195 (0.156)
 Family income, age 17 0.010 (0.006) -0.004 (0.015)
 Race 0.229 (0.198) 0.240 (0.482)
 IQ score, age 11 0.005 (0.005) 0.001 (0.012)
 Primary caregiver depressive -0.0003 (0.014) 0.004 (0.034)
 Symptoms, age 12
 Antisocial behavior, age 12 0.079 (0.038)* -0.030 (0.751)
 Adulthood incarceration probation -0.294 (0.198) -1.139 (0.774)
 Tobacco use, age 17 0.037 (0.170) 0.061 (0.403)
 Alcohol use, age 17 0.301 (0.109)** -0.107 (0.255)
Cannabis use, age 17 2.213 (0.507)*** 0.493 (0.207)* -0.101 (0.297)
Depressive symptoms, age 17 -0.405 (0.284) -0.320 (0.117)** -0.250 (0.216)
Cannabis use, age 20 0.682 (0.090)*** 0.039 (0.066)
Depressive symptoms, age 20 -0.169 (0.239) 0.119 (0.146)
Model R2 .473*** .072 .259** .166 .477*** .021

Notes: β = unstandardized regression coefficient. Model fit indices: χ2(38) = 35.68, p = .577; χ2/df = 0.94, comparative fit index = 1.00, root mean square error of approximation = .00, standardized root mean square residual = .07.

p < .1;

*

p < .05;

**

p < .01;

***

p < .001.