title: Profiles of current disruptive behavior: association with recent drug consumption among adolescents.
abstract: Instead of using scale thresholds and standard diagnostic criteria, latent class analysis was used to elucidate distinct subgroups of adolescents based on symptom profiles of the 24 Youth Self-Report items assessing attention-deficit hyperactivity, oppositional and conduct problem behaviors. We then investigated the extent to which being classified into different classes of disruptive behavior was associated with drug consumption in the month prior to the survey assessment. Three latent classes of disruptive behavior emerged along a continuum of severity. Youth classified into a class representing multiple and more serious behavior problems were found to have the highest rates of drug use, particularly involving inhalants and marijuana. Contrary to our hypotheses, younger adolescent females in this class reported a higher rate of past month drug use than similarly aged males. Drug use also was found to be common among youth in a class with a greater proportion of subclinical levels of behavior problems. Adolescents evidencing multiple behavior problems, particularly emerging conduct problems, need to be thoroughly assessed for recent drug involvement.
authors.affiliation: Johns Hopkins University Bloomberg School of Public Health, Department of Mental Health, Baltimore, MD 21205, USA. cstorr@jhsph.edu
authors.forename: Carla L
authors.initials: CL
authors.lastname: Storr
authors.forename: Veronica H
authors.initials: VH
authors.lastname: Accornero
authors.forename: Rosa M
authors.initials: RM
authors.lastname: Crum
mesh_terms: D000293:Adolescent; D000367:Age Factors; D019958:Attention Deficit and Disruptive Behavior Disorders / Q000209:etiology*; D017831:Diagnosis, Dual (Psychiatry); D005260:Female; D006801:Humans; D007604:Juvenile Delinquency / Q000523:psychology*; D008297:Male; D008385:Marijuana Smoking / Q000523:psychology; D011569:Psychiatric Status Rating Scales; D000297:Psychology, Adolescent / Q000379:methods*; D012044:Regression Analysis; D012737:Sex Factors; D019966:Substance-Related Disorders / Q000150:complications*