Table 4.
Change in cognitive function (from 13–14 to 20 years) and cannabis use age of onset, frequency at 14 years (intercept), and growth from 14 to 17 years
Vocabularya
|
Number Randomization
|
DS Forward
|
DS Backward
|
SOP
|
PAL
|
Conditional Association
|
CAPT
|
|||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
β | p | β | p | β | p | β | p | β | p | β | p | β | p | β | p | |
Model 1 | ||||||||||||||||
Age of onset | 0.11 | .034 | −0.02 | .78 | −0.05 | .43 | 0.01 | .92 | 0.12 | .04 | 0.07 | .21 | 0.17 | .010 | −0.01 | .93 |
Verbal IQ at 13 | 0.26 | <.001 | −0.15 | .025 | −0.12 | .09 | −0.15 | .014 | 0.21 | <.001 | −0.07 | .34 | 0.02 | .76 | −0.05 | .49 |
Age at adult testing | 0.06 | .20 | 0.12 | .041 | 0.05 | .41 | 0.01 | .85 | −0.10 | .056 | 0.03 | .52 | 0.14 | .012 | −0.24 | <.001 |
Family risk | −0.35 | <.001 | −0.02 | .73 | 0.03 | .60 | −0.05 | .43 | −0.11 | .052 | 0.04 | .56 | 0.22 | <.001 | 0.04 | .55 |
Cannabis use 20 | −0.01 | .90 | −0.03 | .72 | −0.39 | <.001 | −0.05 | .52 | −0.22 | .001 | 0.08 | .18 | 0.09 | .24 | 0.00 | .97 |
Tobacco use 20 | −0.10 | .08 | 0.00 | .97 | 0.15 | .010 | −0.01 | .87 | 0.04 | .43 | −0.03 | .61 | 0.04 | .51 | 0.15 | .023 |
Other drug use 20 | 0.19 | .001 | 0.00 | .97 | 0.29 | <.001 | 0.02 | .79 | 0.17 | .006 | 0.02 | .65 | −0.05 | .52 | −0.13 | .08 |
PAL 14 | 0.03 | .70 | 0.14 | .033 | 0.09 | .28 | 0.28 | <.001 | 0.19 | .007 | −0.54 | <.001 | 0.23 | .010 | −0.05 | .61 |
SOP 14 | 0.16 | .002 | 0.12 | .063 | 0.20 | .001 | −0.01 | .95 | −0.47 | <.001 | 0.00 | .99 | −0.17 | .012 | −0.17 | .025 |
Academic achieve 13–15 | −0.02 | .76 | −0.04 | .61 | −0.05 | .43 | 0.13 | .10 | 0.00 | .99 | −0.01 | .93 | 0.00 | .99 | 0.00 | .97 |
R2 | 0.35 | <.001 | 0.04 | .08 | 0.12 | .001 | 0.11 | .001 | 0.39 | <.001 | 0.37 | <.001 | 0.12 | .001 | 0.12 | .004 |
Model 2 | ||||||||||||||||
Cannabis intercept | 0.02 | .82 | 0.16 | .19 | 0.20 | .064 | 0.04 | .70 | 0.01 | .92 | −0.02 | .81 | −0.15 | .10 | −0.29 | .002 |
Cannabis slope | −0.17 | .042 | −0.19 | .09 | −0.02 | .84 | −0.02 | .78 | −0.12 | .16 | 0.02 | .86 | −0.28 | .004 | 0.08 | .47 |
R2 | 0.36 | <.001 | 0.08 | .06 | 0.14 | <.001 | 0.11 | <.001 | 0.39 | <.001 | 0.37 | <.001 | 0.18 | <.001 | 0.18 | <.001 |
Model 3 | ||||||||||||||||
Cannabis intercept | 0.01 | .85 | 0.16 | .18 | 0.19 | .07 | 0.03 | .71 | −0.01 | .94 | −0.02 | .80 | −0.15 | .18 | −0.28 | .002 |
Cannabis slope | −0.17 | .016 | −0.19 | .09 | −0.02 | .83 | −0.03 | .77 | −0.12 | .15 | 0.01 | .88 | −0.28 | .003 | 0.08 | .45 |
Age onset (residual) | 0.04 | .39 | −0.03 | .67 | 0.06 | .36 | 0.00 | .99 | 0.04 | .52 | 0.05 | .22 | −0.06 | .33 | −0.12 | .062 |
R2 | 0.36 | <.001 | 0.08 | .06 | 0.15 | <.001 | 0.12 | .001 | 0.40 | <.001 | 0.37 | <.001 | 0.18 | <.001 | 0.19 | <.001 |
Model 4 | ||||||||||||||||
Cannabis intercept | 0.05 | .51 | 0.23 | .20 | 0.21 | .17 | 0.08 | .57 | 0.14 | .31 | −0.02 | .87 | −0.07 | .65 | −0.37 | .003 |
Cannabis slope | −0.11 | .16 | −0.19 | .12 | −0.01 | .91 | −0.01 | .94 | −0.07 | .43 | 0.05 | .52 | −0.21 | .028 | 0.04 | .74 |
Age onset (residual) | 0.02 | .77 | −0.05 | .44 | 0.05 | .43 | −0.01 | .93 | 0.00 | .98 | 0.04 | .36 | −0.08 | .15 | −0.11 | .11 |
High-school graduation | 0.21 | <.001 | 0.08 | .36 | −0.06 | .43 | −0.03 | .69 | 0.07 | .33 | 0.11 | .08 | 0.02 | .76 | 0.05 | .53 |
ADHD 13–15 years | −0.11 | .07 | 0.18 | .043 | 0.07 | .38 | −0.09 | .27 | −0.04 | .57 | 0.08 | .26 | 0.10 | .19 | −0.02 | .82 |
CD 13–15 years | −0.09 | .12 | −0.05 | .49 | 0.11 | .21 | 0.03 | .63 | −0.11 | .18 | −0.10 | .17 | −0.05 | .49 | 0.09 | .23 |
Alcohol use 13–17 years | −0.03 | .67 | 0.05 | .41 | 0.01 | .89 | 0.04 | .62 | −0.02 | .71 | −0.17 | .024 | −0.16 | .025 | 0.04 | .63 |
Tobacco use 13–17 years | 0.01 | .90 | −0.20 | .17 | −0.15 | .24 | −0.11 | .32 | −0.13 | .23 | 0.16 | .13 | −0.07 | .59 | 0.10 | .52 |
R2 | 0.41 | <.001 | 0.11 | .033 | 0.17 | <.001 | 0.12 | .001 | 0.42 | <.001 | 0.40 | <.001 | 0.20 | <.001 | 0.20 | <.001 |
Note: The sign for the variables that code for errors was changed so that higher scores on any measure indicates better ability. The results using change scores are presented, but analyses using neurocognitive residualized scores and baseline scores as covariates were also conducted, with equivalent results. Values in bold indicate that they remain significant after controlling for multiple testing. DS, Digit span; SOP, self-ordered pointing; PAL, paired associates learning; CAPT, Card Playing Task. Model fit for Model 1: χ2 (2) = 1.83, root mean square error of approximation (RMSEA) = 0.00, comparative fit index (CFI) = 1.00, standardized root mean square residual (SRMR) = 0.01; Model 2: χ2 (39) = 94.46, RMSEA = 0.07, CFI = 0.95, SRMR = 0.03; Model 3: χ2 (41) = 101.28, RMSEA = 0.07, CFI = 0.95, SRMR = 0.03; Model fit for Model 4: χ2 (51) = 101.43, RMSEA =0.06, CFI =0.96, SRMR =0.02. Although only presented under Model 1, standardized coefficients are adjusted for age at testing in adulthood; family risk; average academic achievement 13–15; verbal IQ at 13; SOP and PAL at 14; and concurrent cannabis, alcohol, stimulant, and tobacco use frequency at 20 years in all models.
The verbal IQ change score was calculated by standardizing the sentence completion task (verbal IQ) at 13 years (z scores) and subtracting it from standardized (z-scored) vocabulary scores at 20 years. Analyses using change scores computed using the vocabulary subtest at 15 years as baseline scores were equivalent to those reported here (differing only by a few decimals), with analyses yielding equivalent results (see Data Preparation and Statistical Analysis section in the online supplementary material).