OBJECTIVES: The study objective was to use latent class analyses (LCAs) to identify gender- and racial/ethnic-specific groups of adolescent alcohol users and associations between alcohol use group and adolescent and adulthood illicit drug use in a nationally-representative US sample. METHODS: We used Wave I (1994-1995, adolescence) of the National Longitudinal Study of Adolescent Health to conduct LCAs by gender and race/ethnicity and measure associations between class membership and Wave I and Wave III (2001-2002, young adulthood) drug use. Participants included white (n=9548), African American (n=4005) and Hispanic (n=3184) participants. LCAs were based on quantity and frequency of adolescent alcohol use; physiological and social consequences of use; and peer use. RESULTS: Males and females were characterized by different alcohol use typologies and consequences. Males in the highest severity class (i.e. drank both heavily and frequently) experienced disproportionate risk of alcohol-related consequences compared with abstainers and other alcohol-using groups. Females who drank heavily when drinking even if only occasionally, experienced high risk of alcohol-related consequences. Substantial proportions of males reported diverse alcohol-related problems, whereas females most commonly reported alcohol-related problems with dating and sexual experiences. Though levels of alcohol use and report of problems associated with use were higher among white versus minority populations, other racial/ethnic differences in patterns of alcohol use were minimal. Classification in any drinking class was a strong risk factor for adolescent and adulthood illicit drug use, with heavy drinkers at greatest risk of drug use. CONCLUSIONS: Gender-specific adolescent alcohol and substance use prevention programs are warranted.
OBJECTIVES: The study objective was to use latent class analyses (LCAs) to identify gender- and racial/ethnic-specific groups of adolescent alcohol users and associations between alcohol use group and adolescent and adulthood illicit drug use in a nationally-representative US sample. METHODS: We used Wave I (1994-1995, adolescence) of the National Longitudinal Study of Adolescent Health to conduct LCAs by gender and race/ethnicity and measure associations between class membership and Wave I and Wave III (2001-2002, young adulthood) drug use. Participants included white (n=9548), African American (n=4005) and Hispanic (n=3184) participants. LCAs were based on quantity and frequency of adolescent alcohol use; physiological and social consequences of use; and peer use. RESULTS: Males and females were characterized by different alcohol use typologies and consequences. Males in the highest severity class (i.e. drank both heavily and frequently) experienced disproportionate risk of alcohol-related consequences compared with abstainers and other alcohol-using groups. Females who drank heavily when drinking even if only occasionally, experienced high risk of alcohol-related consequences. Substantial proportions of males reported diverse alcohol-related problems, whereas females most commonly reported alcohol-related problems with dating and sexual experiences. Though levels of alcohol use and report of problems associated with use were higher among white versus minority populations, other racial/ethnic differences in patterns of alcohol use were minimal. Classification in any drinking class was a strong risk factor for adolescent and adulthood illicit drug use, with heavy drinkers at greatest risk of drug use. CONCLUSIONS: Gender-specific adolescent alcohol and substance use prevention programs are warranted.
Authors: Sarah W Feldstein Ewing; Tammy Chung; Justin D Caouette; Arielle Ketcherside; Karen A Hudson; Francesca M Filbey Journal: Neuroimage Date: 2016-12-28 Impact factor: 6.556
Authors: Yui Matsuda; Summer D DeBastiani; Roxana D Thalasinos; Dina Ferranti; Joseph P De Santis; Evelyn Iriarte; Anne E Norris Journal: J Pediatr Nurs Date: 2021-09-13 Impact factor: 2.523
Authors: Elizabeth J D'Amico; Joan S Tucker; Jeremy N V Miles; Brett A Ewing; Regina A Shih; Eric R Pedersen Journal: Addiction Date: 2016-06-14 Impact factor: 6.526