@article{ref1,
title="Using sensation seeking to target adolescents for substance use interventions",
journal="Addiction",
year="2010",
author="Sargent, James D. and Tanski, Susanne and Stoolmiller, Mike and Hanewinkel, Reiner",
volume="105",
number="3",
pages="506-514",
abstract="AIMS: This study examines the predictive validity of sensation seeking as a predictor of adolescent substance use, in order to optimize targeting for substance use prevention programs. DESIGN: Longitudinal study. SETTING: Random-digit dial telephone survey. Participants A total of 6522 US adolescents aged 10-14 years at baseline, resurveyed at 8-month intervals for three subsequent waves. MEASUREMENTS: Two outcomes were assessed-onset of binge drinking (more than five drinks in a short time) and established smoking (>100 cigarettes life-time). Sensation seeking level was assessed at baseline. Logistic regression was used to predict onset of substance use at any follow-up wave as a function of sensation seeking. The receiver operating characteristics curve was used to illustrate how well sensation seeking predicted substance use as a function of different cut-off points for defining high sensation seeking, and area under the receiver operating characteristics curve (AROC) was the metric of predictive validity. FINDINGS: Of 5834 participants with one or more follow-up assessments, 5634 reported no binge drinking and 5802 were not established smokers at baseline, of whom 717 (12.7% of 5634) reported binge drinking and 144 (2.5% of 5802) reported established smoking at one or more follow-up interviews. Sensation seeking predicted binge drinking moderately well AROC = 0.71 (95% confidence interval 0.69, 0.73). and was a significantly better predictor of established smoking onset AROC = 0.80 (0.76, 0.83). For binge drinking, predictive validity was significantly lower in blacks; for established smoking it was significantly higher for Hispanics. Implications for two targeting interventions are discussed. CONCLUSIONS: Sensation seeking works moderately well at identifying adolescents at risk for onset of binge drinking and established smoking. This study offers a guide for determining the appropriate targeting cut-off value, based on intervention efficacy, costs and risks.<p /> <p>Language: en</p>",
language="en",
issn="0965-2140",
doi="10.1111/j.1360-0443.2009.02782.x",
url="http://dx.doi.org/10.1111/j.1360-0443.2009.02782.x"
}