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. Author manuscript; available in PMC: 2009 Sep 1.
Published in final edited form as: Addict Behav. 2008 May 9;33(9):1154–1161. doi: 10.1016/j.addbeh.2008.04.016

Table 3.

Unadjusted and adjusted estimateda predictive association linking an early risk-taking trait with later drug use: Estimates for the relative risk estimates of youth risk taking and the riskb of becoming an illegal drug user and/or legal drug user by young adulthood among youths from an urban public school system, Mid-Atlantic region, United States: 1985–2002c

Cocaine
Cannabis
Tobacco
Alcohol
Modeld RR 95% CI p-value RR 95% CI p-value RR 95% CI p-value RR 95% CI p-value
Unadjusted 2.4 1.7, 3.4 < 0.001 1.9 1.6, 2.2 < 0.001 1.5 1.3, 1.7 < 0.001 1.4 1.0, 2.0 0.07
Adjusteda 1.9 1.3, 2.7 < 0.001 1.5 1.3, 1.8 < 0.001 1.2 0.9, 1.4 0.09 1.2 0.8, 1.9 0.36
a

Estimates are adjusted for sex, race, disadvantaged minority status, socioeconomic status, age, and teachers’ ratings of childhood misbehavior.

b

These relative risk estimates convey the magnitude of increased risk of drug use onset in association with each is for every increase of one standard deviation increase in the childhood risk-taking scale score value above the mean of the standardized risk taking scale.

c

Data were obtained from 1,692. See footnote in Table 1.

d

These multivariate model estimates of relative risk are from the generalized linear model (logit link) with a generalized estimating equations approach to address interdependencies of the four binary responses (cumulative occurrence of drug-taking by young adulthood).