Investigation of Profiles of Risk Factors for Adolescent Psychopathology: A Person-Centered Approach

Autor/inn/en	Parra, Gilbert R.; DuBois, David L.; Sher, Kenneth J.
Titel	Investigation of Profiles of Risk Factors for Adolescent Psychopathology: A Person-Centered Approach
Quelle	In: Journal of Clinical Child and Adolescent Psychology, 35 (2006) 3, S.386-402 (17 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1537-4416
DOI	10.1207/s15374424jccp3503_4
Schlagwörter	Profiles; Risk; Adolescents; Psychopathology; Modeling (Psychology); Family (Sociological Unit); Peer Groups; Longitudinal Studies; Grade 7; Grade 11; Models; At Risk Persons; Depression (Psychology); Socioeconomic Status; National Longitudinal Study of Adolescent Health + Suchen Sie Ihr Suchwort? Charakterisierung; Profilanalyse; Risiko; Adolescent; Adolescence; Adoleszenz; Jugend; Jugendalter; Jugendlicher; Psychopathologie; Modeling; Modelling; Modellierung; Familie; Gleichaltrigengruppe; Peer Group; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; School year 07; 7. Schuljahr; Schuljahr 07; School year 11; 11. Schuljahr; Schuljahr 11; Analogiemodell; Risikogruppe; Socio-economic status; Sozioökonomischer Status
Abstract	Latent variable mixture modeling was used to identify subgroups of adolescents with distinct profiles of risk factors from individual, family, peer, and broader contextual domains. Data were drawn from the National Longitudinal Study of Adolescent Health. Four-class models provided the most theoretically meaningful solutions for both 7th (n = 907; 48% boys) and 11th (n = 1039; 51% boys) graders. The 4-class solution for 7th graders included low risk (LR; 66%), socioeconomic disadvantage (SD; 19%), peer high risk (PHR; 9%), and family high risk (FHR; 6%) groups. Similarly, the 4-class model for 11th graders included LR (32%), SD (43%), high risk (HR; 21%), and FHR (4%) groups. Subgroup membership predicted reported levels of depressive symptoms and conduct problems both concurrently and over time. Strengths and potential limitations of using latent variable mixture modeling to investigate risk profiles for adolescent psychopathology are discussed. (Author).
Anmerkungen	Lawrence Erlbaum Associates, Inc. 10 Industrial Avenue, Mahwah, NJ 07430. Tel: 800-926-6579; Tel: 201-258-2200; Fax: 201-236-0072; e-mail: journals@erlbaum.com; Web site: https://www.erlbaum.com.
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10