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Автор Mun, Eun Young
Автор Windle, Michael
Автор Schainker, Lisa M.
Дата выпуска 2008
dc.description AbstractData from a community-based sample of 1,126 10th- and 11th-grade adolescents were analyzed using a model-based cluster analysis approach to empirically identify heterogeneous adolescent subpopulations from the person-oriented and pattern-oriented perspectives. The model-based cluster analysis is a new clustering procedure to investigate population heterogeneity utilizing finite mixture multivariate normal densities and accordingly to classify subpopulations using more rigorous statistical procedures for the comparison of alternative models. Four cluster groups were identified and labeled multiproblem high-risk, smoking high-risk, normative, and low-risk groups. The multiproblem high risk exhibited a constellation of high levels of problem behaviors, including delinquent and sexual behaviors, multiple illicit substance use, and depressive symptoms at age 16. They had risky temperamental attributes and lower academic functioning and educational expectations at age 15.5 and, subsequently, at age 24 completed fewer years of education, and reported lower levels of physical health and higher levels of continued involvement in substance use and abuse. The smoking high-risk group was also found to be at risk for poorer functioning in young adulthood, compared to the low-risk group. The normative and the low risk groups were, by and large, similar in their adolescent and young adult functioning. The continuity and comorbidity path from middle adolescence to young adulthood may be aided and abetted by chronic as well as episodic substance use by adolescents.
Формат application.pdf
Издатель Cambridge University Press
Копирайт Copyright © Cambridge University Press 2008
Название A model-based cluster analysis approach to adolescent problem behaviors and young adult outcomes
Тип research-article
DOI 10.1017/S095457940800014X
Electronic ISSN 1469-2198
Print ISSN 0954-5794
Журнал Development and Psychopathology
Том 20
Первая страница 291
Последняя страница 318
Аффилиация Mun Eun Young; Rutgers University
Аффилиация Windle Michael; Emory University
Аффилиация Schainker Lisa M.; Iowa State University
Выпуск 1

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