title: A neural network approach to identifying adolescent adjustment.
abstract: This study examined the relationship between the quality of adjustment in adolescents and a set of psychiatric diagnoses, personality traits, parental bonding, and social support variables. One hundred fifty adolescents were administered the Millon Adolescent Personality Inventory, the Parental Bonding Questionnaire, the Social Support Questionnaire, and the Diagnostic Interview for Children and Adolescents. A neural network approach was then utilized, and it was found that several of the variables (e.g., Major Depressive Disorder, Conduct Disorder, and Societal Conformity) had a significant role in classifying adolescents into three groups: maladjusted, nominally adjusted, and well-adjusted.
authors.affiliation: Department of Psychiatry and Neurology, University of Missouri-Columbia, 65212, USA. nairj@health.missouri.edu
authors.forename: J
authors.initials: J
authors.lastname: Nair
authors.forename: S S
authors.initials: SS
authors.lastname: Nair
authors.forename: J H
authors.initials: JH
authors.lastname: Kashani
authors.forename: J C
authors.initials: JC
authors.lastname: Reid
authors.forename: V G
authors.initials: VG
authors.lastname: Rao
mesh_terms: D000293:Adolescent; D000294:Adolescent Behavior / Q000523:psychology*; D005260:Female; D006801:Humans; D008297:Male; D009415:Nerve Net / Q000502:physiology*; D012917:Social Adjustment