paperKB
coga / coga-kb
Help
Sign in

Chunk #42 — Results — Post-hoc Structural Equation Modelling

Source
Monoacylglycerol lipase (MGLL) polymorphism rs604300 interacts with childhood adversity to predict cannabis dependence symptoms and amygdala habituation: Evidence from an endocannabinoid system-level analysis.
Embedded
yes

Text

Given the replicated associations between rs603600 and childhood adversity predicting cannabis dependence symptoms and the biological extension of that interaction to predict right basolateral amygdala habituation, a post-hoc structural equation model (SEM) was tested in an opioid-dependent subset of CATS (n = 1,182) that integrated a dichotomous measure of using cannabis to control mood6 (see Supplement for additional methodological details; Figure 4). The rs604300 × CSA interaction significantly predicted using cannabis to control mood (bGxE = -2.04, 95% CI [-3.78, -0.20], p = .025), which, in turn, significantly predicted cannabis dependence symptoms (bM = 0.84, 95% CI [0.71, 0.96], p < .001). The rs604300 × CSA interaction was specific to cannabis: it did not predict the use of other types of substances, or of substances in general, to control mood (all ps> 0.20). The SEM overall demonstrated good fit (relative χ2< 0.001, RMSEA < 0.001, WRMR = 0.40, CFI = 1.00). The indirect pathway from the GxE interaction to cannabis dependence symptoms through using cannabis to control mood was also significant (bIND = -1.71, 95% CI [-3.26, -0.21], p =