PMID- 11506260
OWN - NLM
STAT- MEDLINE
DCOM- 20011207
LR  - 20190921
IS  - 0095-2990 (Print)
IS  - 0095-2990 (Linking)
VI  - 27
IP  - 3
DP  - 2001 Aug
TI  - Comorbidity of psychiatric and substance use disorders in late adolescence: a 
      cluster analytic approach.
PG  - 421-40
AB  - Cluster analysis was used to identify subgroups of youths with past-year 
      substance and/or psychiatric disorders (N = 110, mean age 19.0 years). Data for 
      this study came from a community-based, prospective longitudinal investigation of 
      speech/language (S/L) impaired children and matched controls who participated in 
      extensive diagnostic and psychosocial assessments at entry into the study at 5 
      years of age and again at follow-up. Clustering variables were based on five DSM 
      diagnostic categories assessed at age 19with the University of Michigan Composite 
      International Diagnostic Interview. Using Ward's method, the five binary 
      variables were entered into a hierarchical cluster analysis. An iterative 
      clustering method (K-means) was then used to refine the Ward solution. Finally, a 
      series of analyses of variance (ANOVAs) were run to analyze group differences 
      between clusters on measures of Global Assessment of Functioning (GAF), criminal 
      involvement, anxiety and depressive symptomatology, and frequency of drug use and 
      heavy drinking. The analysis yielded eight replicable cluster groups, which were 
      labeled as follows: (a) anxious (20.9%); (b) anxious drinkers (5.5%); (c) 
      depressed (16.4%); (d) depressed drug abusers (10%); (e) antisocial (16.4%); (f) 
      antisocial drinkers (10%); (g) drug abusers (8.2%); (h) problem drinkers (12.7%). 
      These groups were differentiated by external criteria, thus supporting the 
      validity of our cluster solution. Cluster membership was associated with a 
      history of S/L impairment: A large proportion of the depressed drug abusers and 
      the antisocial cluster group had S/L impairment that was identified at age 5. 
      Clarification of the developmental progress of the youths in these cluster groups 
      can inform our approach to early intervention and treatment.
FAU - Beitchman, J H
AU  - Beitchman JH
AD  - Centre for Addiction and Mental Health, Department of Psychiatry, University of 
      Toronto, Ontario, Canada. Joe_Beitchman@camh.net
FAU - Adlaf, E M
AU  - Adlaf EM
FAU - Douglas, L
AU  - Douglas L
FAU - Atkinson, L
AU  - Atkinson L
FAU - Young, A
AU  - Young A
FAU - Johnson, C J
AU  - Johnson CJ
FAU - Escobar, M
AU  - Escobar M
FAU - Wilson, B
AU  - Wilson B
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - England
TA  - Am J Drug Alcohol Abuse
JT  - The American journal of drug and alcohol abuse
JID - 7502510
SB  - IM
MH  - Adolescent
MH  - Adolescent Behavior/*psychology
MH  - Adult
MH  - Age Factors
MH  - Analysis of Variance
MH  - Cluster Analysis
MH  - *Comorbidity
MH  - Diagnosis, Dual (Psychiatry)/psychology
MH  - Female
MH  - Humans
MH  - Language Disorders/*psychology
MH  - Male
MH  - Mental Disorders/*psychology
MH  - Psychiatric Status Rating Scales
MH  - Reproducibility of Results
MH  - Speech Disorders/*psychology
MH  - Substance-Related Disorders/*psychology
EDAT- 2001/08/17 10:00
MHDA- 2002/01/05 10:01
CRDT- 2001/08/17 10:00
PHST- 2001/08/17 10:00 [pubmed]
PHST- 2002/01/05 10:01 [medline]
PHST- 2001/08/17 10:00 [entrez]
AID - 10.1081/ada-100104510 [doi]
PST - ppublish
SO  - Am J Drug Alcohol Abuse. 2001 Aug;27(3):421-40. doi: 10.1081/ada-100104510.