Title
Children taking risks: The association with cocaine and other drug use by young adulthood
Date Issued
01 September 2008
Access level
open access
Resource Type
journal article
Author(s)
Abstract
In this report from a longitudinal study, the main aim was to evaluate the long-term predictive strength of a novel cartoon-based risk-taking trait assessment, which might prove to have utility in future research on mechanisms leading toward illegal drug involvement. The study population originated as 2311 first-graders entering 19 elementary schools during two successive school years. The assessments started soon after the children entered primary school. The key response variable was participants' use of cocaine by the time of a young adult assessment. We found that for each standard deviation increase in the risk-taking scale there was a two-fold increase in the risk of becoming a cocaine user by young adulthood (estimated relative risk, RR = 1.9; 95% confidence interval, CI = 1.3, 2.7). Independently, onset of cannabis use by young adulthood was also predicted by risk-taking scale values, but use of legal drugs (alcohol and tobacco) was not. These long-span associations provide support for new research on very early risk-taking mechanisms that lead toward illegal drug involvement. © 2008 Elsevier B.V. All rights reserved.
Start page
1154
End page
1161
Volume
33
Issue
9
Language
English
OCDE Knowledge area
Temas sociales
Scopus EID
2-s2.0-46049110302
PubMed ID
Source
Addictive Behaviors
ISSN of the container
03064603
Sponsor(s)
The authors wish to acknowledge generous support of this research program over a span of 20 years, including NIDA Grants K05DA015799, R01DA09897, R01DA04392, and T32DA007292, as well as NIMH grants R01MH042968 and P50MH038725, and FIC training award 5D43TW005819 which provided research support and training support. We would like to thank the children, families, and school system personnel who have participated in this study over the years. We also acknowledge collaboration of the Epidemiology & Biostatistical Core Program of the Ponce School of Medicine, (NIH Grant 2G12RR03050-18).
Sources of information: Directorio de Producción Científica Scopus