Cannabis use and cannabis use disorders and their relationship to mental disorders: a 10-year prospective-longitudinal community study in adolescents.

BACKGROUND: Whereas the role of externalizing disorders is relatively well established in predicting the onset of cannabis use (CU) or cannabis use disorder (CUD), the status of anxiety and mood disorders in predicting CU and CUD remains controversial. OBJECTIVE: (1) To examine cross-sectional and prospective associations of CU and CUD with a range of mental disorders and whether anxiety and mood disorders are associated with CU/CUD after adjusting for externalizing disorders. METHODS: N=1395 community subjects aged 14-17 at baseline were followed-up at three waves prospectively over 10 years. Substance use, substance disorders and mental disorders were assessed using the DSM-IV/M-CIDI. RESULTS: (1) The baseline prevalence rates where 19.3% at t(0) for CU and 2.6% for CUD. Cumulative incidence rates at t(3) were 54.3% for CU and 13.7% for CUD. (2) In cross-sectional and prospective analyses other substance use disorders, mood and anxiety disorders were associated with CU and CUD. (3) Associations of panic-anxiety with CU and of depressive and bipolar disorders with CU and CUD were significant after controlling for externalizing disorders. CONCLUSION: A range of psychopathological conditions, including depressive, bipolar and less consistently anxiety disorders as well as the degree of their comorbidity are significantly associated with incident CU and progression to CUD, even when controlling for externalising disorders. A better understanding of this complex interplay may result in better aetiological models and intervention strategies.

Different results on tetrachorical correlations in Mplus and Stata--Stata announces modified procedure.

To identify the structure of mental disorders in large-scale epidemiological data sets, investigators frequently use tetrachoric correlations as a first step for subsequent application of latent class and factor analytic methods. It has been possible to do this with Stata since 2005, whereas the corresponding Mplus routine has been on the market for some years. Using an identical data set we observed considerable differences between the results of the packages. This paper illustrates the differences with several examples from the Early Developmental Stages of Psychopathology Study data set, which consists of 3021 subjects, with diagnostic information assessed by the CIDI. Results reveal that tetrachoric correlations resulting from Mplus were often considerably smaller than those computed with Stata. The results were dramatically different, especially where there were few observation per cell or even empty cells. These findings were put to Mplus and Stata, whose responses clarified the discrepancies by describing the different mathematical assumptions and procedures used. Stata announced that it intended to launch a modified procedure.