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. Author manuscript; available in PMC: 2019 Aug 1.
Published in final edited form as: Drug Alcohol Depend. 2018 May 31;189:80–89. doi: 10.1016/j.drugalcdep.2018.04.031

Table 1.

Latent Class Analysis Identifying Tobacco Use Clusters of Associated Risk Behaviors.

Sample
(N = 929)
Cluster 1
(No Tobacco Products)
57%
n = 528
Cluster 2 (One or Two Tobacco Products)
18%
n = 167
Cluster 3 (Poly Tobacco Products)
25%
n = 234




Lifetime Current Lifetime Current Lifetime Current Lifetime Current
Lifetime Tobacco
No Tobacco 60% 1.00 0.00 0.12
One Tobacco Product 13% 0.00 0.65 0.08
Two Tobacco Products 9% 0.00 0.24 0.18
Poly Tobacco 18% 0.00 0.10 0.63
Marijuana and Other Drugs
Marijuana 34% 17% 0.07 0.02 0.36 0.14 0.95 0.65
Alcohol - 49% 22% 0.27 0.06 0.54 0.19 0.95 0.69
Drugs – 17% 8% 0.02 0.01 0.11 0.03 0.55 0.34
  Friends who use 50% 0.31 0.50 0.92
  Marijuana
Friends who use drugs 24% 0.11 0.14 0.60
Behaviors
Been Cyberbullied 9% 0.07 0.06 0.17
Ridden in car with drunk driver 16% 0.09 0.14 0.32
Arrested - Lifetime 8% 0.02 0.03 0.26
Grades
Mostly As and Bs 60% 0.71 0.56 0.39
Mostly Cs 27% 0.23 0.25 0.37
Mostly Ds and Fs 13% 0.07 0.19 0.23

Notes: % denotes percentage of the total non-missing sample responding “yes” to the corresponding question. Decimals under each cluster denote the probability of a student in given cluster responding “yes” to the question. Age was used as a covaiate. Bolded percentages represent current marijuana, alcohol, and other drug use.