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Titolo:
Comorbidity of psychiatric and substance use disorders in late adolescence: A cluster analytic approach
Autore:
Beitchman, JH; Adlaf, EM; Douglas, L; Atkinson, L; Young, A; Johnson, CJ; Escobar, M; Wilson, B;
Indirizzi:
Ctr Addict & Mental Hlth, Clarke Div, Toronto, ON M5T 1R8, Canada Ctr Addict & Mental Hlth Toronto ON Canada M5T 1R8 to, ON M5T 1R8, Canada Univ Toronto, Dept Psychiat, Toronto, ON, Canada Univ Toronto Toronto ON Canada ronto, Dept Psychiat, Toronto, ON, Canada Univ Toronto, Dept Publ Hlth Sci, Toronto, ON, Canada Univ Toronto Toronto ON Canada , Dept Publ Hlth Sci, Toronto, ON, Canada Univ Toronto, Dept Speech Language Pathol, Toronto, ON, Canada Univ Toronto Toronto ON Canada eech Language Pathol, Toronto, ON, Canada
Titolo Testata:
AMERICAN JOURNAL OF DRUG AND ALCOHOL ABUSE
fascicolo: 3, volume: 27, anno: 2001,
pagine: 421 - 440
SICI:
0095-2990(2001)27:3<421:COPASU>2.0.ZU;2-6
Fonte:
ISI
Lingua:
ENG
Soggetto:
ANXIETY DISORDERS; MENTAL-DISORDERS; FUTURE-DIRECTIONS; ALCOHOL-ABUSE; YOUNG-ADULTS; RISK-FACTORS; PREVALENCE; DEPRESSION; PSYCHOPATHOLOGY; DEPENDENCE;
Keywords:
alcohol abuse; comorbidity; drug abuse; psychiatric disorders;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Social & Behavioral Sciences
Citazioni:
48
Recensione:
Indirizzi per estratti:
Indirizzo: Beitchman, JH Ctr Addict & Mental Hlth, Clarke Div, 250 Coll St, Toronto, ON M5T 1R8, Canada Ctr Addict & Mental Hlth 250 Coll St Toronto ON Canada M5T 1R8
Citazione:
J.H. Beitchman et al., "Comorbidity of psychiatric and substance use disorders in late adolescence: A cluster analytic approach", AM J DRUG A, 27(3), 2001, pp. 421-440

Abstract

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 whoparticipated in extensive diagnostic and psychosocial assessments at entryinto the study at 5 years of age and again at follow-up. Clustering variables were based on five DSM diagnostic categories assessed at age 19 with the University of Michigan Composite International Diagnostic Interview. Using Ward's method, the five binary variables were entered into a hierarchicalcluster 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 replicablc 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.

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Documento generato il 10/07/20 alle ore 08:41:46