Literature DB >> 8871415

Race and sex differences in the prediction of drug use.

D C Gottfredson1, C S Koper.   

Abstract

Efforts to prevent adolescent substance abuse often direct prevention efforts at known correlates of substance use. The applicability to minority populations of risk factors uncovered for the general population has been questioned, and the development of different programs targeting the risk factors most salient for different groups has been recommended. Such differentiated programming requires a more precise understanding of ethnic differences in the predictors of substance use than is now available. This article assesses these differences using data from 981 Black and White male and female adolescents and latent variable structural equations techniques. No group differences were observed in the prediction of past year variety of drug use for 9 of the 12 risk factors examined. The predictive validity was higher for Whites than for Blacks for 3 risk factors. The prediction of frequency of use was weaker for Black women than for other groups. The low predictive validity observed for Black women is most likely due to the extremely low level of use among this group. The study concludes that the measures of risk factors predict substance use for all groups examined but that extremely rare behaviors are not well predicted.

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Mesh:

Year:  1996        PMID: 8871415     DOI: 10.1037//0022-006x.64.2.305

Source DB:  PubMed          Journal:  J Consult Clin Psychol        ISSN: 0022-006X


  18 in total

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Authors:  Karin Swain; Rob Whitley; Gregory J McHugo; Robert E Drake
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6.  Comorbidity of conduct and depressive problems at sixth grade: substance use outcomes across adolescence.

Authors:  S Miller-Johnson; J E Lochman; J D Coie; R Terry; C Hyman
Journal:  J Abnorm Child Psychol       Date:  1998-06

7.  Investigating ethnic differences in adolescent alcohol use and peer norms using semi-continuous latent growth models.

Authors:  Scott R Weaver; Jeewon Cheong; David P MacKinnon; Mary Ann Pentz
Journal:  Alcohol Alcohol       Date:  2011-04-09       Impact factor: 2.826

8.  Alcohol use from ages 9 to 16: A cohort-sequential latent growth model.

Authors:  Susan C Duncan; Terry E Duncan; Lisa A Strycker
Journal:  Drug Alcohol Depend       Date:  2005-07-11       Impact factor: 4.492

9.  Marijuana use patterns among African-American middle-school students: a longitudinal latent class regression analysis.

Authors:  Beth A Reboussin; Scott Hubbard; Nicholas S Ialongo
Journal:  Drug Alcohol Depend       Date:  2007-03-26       Impact factor: 4.492

10.  Development and correlates of alcohol use from ages 13-20.

Authors:  Susan C Duncan; Jeff M Gau; Terry E Duncan; Lisa A Strycker
Journal:  J Drug Educ       Date:  2011
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