Heterogeneity in Male Adolescents With Illegal Sexual Behavior: A Latent Profile Approach to Classification
Autor: | Jessica L. Larsen, Kelli R. Thompson, Jan L. Everhart Newman, Barry R. Burkhart, Melissa A. Cyperski |
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Rok vydání: | 2018 |
Předmět: |
Male
050103 clinical psychology Millon Clinical Multiaxial Inventory Adolescent Sexual Behavior media_common.quotation_subject Poison control Suicide prevention Young Adult Injury prevention Humans Personality 0501 psychology and cognitive sciences Child General Psychology media_common Recidivism Sex Offenses 050901 criminology 05 social sciences Human factors and ergonomics Psychiatry and Mental health Adolescent Behavior Criminal Behavior 0509 other social sciences Psychology Clinical psychology Psychopathology |
Zdroj: | Sexual Abuse. 31:789-811 |
ISSN: | 1573-286X 1079-0632 |
DOI: | 10.1177/1079063218784554 |
Popis: | Current research has established that male adolescents with illegal sexual behavior (AISB) are a heterogeneous population. We aimed to explore this within-group heterogeneity to derive clinically relevant groups of AISB using the Millon Adolescent Clinical Inventory (MACI). We then compared these groups on selected covariates (age at intake, minority status, and child maltreatment history) and distal outcomes (general, nonviolent, violent, drug, and sexual recidivism 5 years after release) to identify any differences. The sample consisted of 698 male AISB (age = 11-20 years) referred to a secure juvenile facility for assessment and treatment. A latent profile analysis (LPA) was conducted using the clinical and personality scales of the MACI to identify AISB groups and examine group differences. Four unique AISB groups emerged: Anxious, Depressed/Anxious, Dysthymic/Disorganized, and Antisocial. Groups differed on age at intake and child maltreatment history, but not minority status. At 5-year follow up, groups differed in their rates of general, nonsexual, and violent recidivism but not in their rates of sexual or drug recidivism. Clinically relevant AISB groups can be identified using personality and psychopathology indicators from the MACI. Implications for the assessment and treatment of AISB, as well as directions for future research are discussed. |
Databáze: | OpenAIRE |
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