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. Author manuscript; available in PMC: 2013 Nov 1.
Published in final edited form as: Am J Addict. 2012 Sep 27;21(6):536–543. doi: 10.1111/j.1521-0391.2012.00281.x

Table 3.

Final logistic regression models for factors associated with lifetime DSM-III-R depression symptoms, MDE, and MDD for boys (n=98) and girls (n=104).

Outcome Variable Boys Girls

Factor* Odds Ratio p-value Factor* Odds Ratio p-value

Depressed Mood MJ Dep 3.506 0.026 Age 1.475 0.014

Anhedonia MJ Dep 3.474 0.032 Age 1.440 0.016

Weight Change MJ Dep 2.934 0.087 None

Sleep Change Age 1.407 0.054
MJ Dep 2.925 0.068 None

Psychomotor MJ Dep 5.833 0.003 None

Loss of Energy MJ Dep 2.934 0.087 Age 1.397 0.025

Worthless/Guilty Early use 0.295 0.030
MJ Dep 4.867 0.011 Heavy use 3.711 0.026

Poor Concentration MJ Dep 3.474 0.032 None

Suicide Early use 0.436 0.083
Age 2.048 0.052 CD 3.73 0.037

Major Depression Episode (MDE) Age 1.477 0.079
MJ Dep 4.856 0.014 Age 1.395 0.027

Major Depression Disorder (MDD) None Age 1.33 0.056

Multivariate logistic regression was used to assess the association of each depression symptom, MDE, and MDD (as the outcome variable) with the following independent variables or factors entered into the initial model in each regression: age, gender, cannabis dependence, alcohol dependence, heavy substance use, early substance use, and early conduct disorder. Final logistic models were determined using the Backward Stepwise approach of Wald.

*

Factors in this column are those independent variables from the initial model which appeared in the final logistic regression model in each analysis. Alpha was set at 0.05, and p-values < 0.05 were considered significant.