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. Author manuscript; available in PMC: 2015 Feb 14.
Published in final edited form as: Am J Addict. 2014 Mar 15;23(4):386–392. doi: 10.1111/j.1521-0391.2014.12121.x

Table 2.

Estimated associations between age of first arrest with adolescent gambling status and other behaviors and characteristics.

Model 1 Model 2
N=617 HR 95% CI p aHR 95% CI p
Gambling Status
 Nongambler 1.00 1.00
 Social gambler 1.61 1.29,2.00 <.001 1.11 0.84,1.45 .47
 Problem gambler
3.60 2.48,5.23 <.001 1.58 1.01,2.49 .05
Race
 African-American 1.00 1.00
 Caucasian
0.92 0.61,1.38 .68 0.89 0.64,1.24 .50
Gender
 Male 1.00 1.00
 Female
0.33 0.24, 0.44 <.001 0.36 0.24,0.52 <.001
Household structure (age 6)
 Two-parent 1.00 1.00
 One parent
1.44 1.12,1.86 .004 1.32 0.97,1.80 .08
Subsidized Lunch
 No 1.00 1.00
 Yes 2.08 1.43,3.03 <.001 1.90 1.29,2.81 .001
Intervention status
 No 1.00 1.00
 Yes
0.86 0.67,1.11 .24 0.89 0.68,1.17 .42
Illegal Drug Use*
 No 1.00 1.00
 Yes
4.07 3.11,5.31 <.001 3.44 2.46,4.81 <.001
Theft and/or Violence and/or Property Damage*
 No 1.00 1.00
 Yes 6.20 1.55,24.84 .01 1.58 1.14,2.17 .01
1

Simple Cox regression models of arrest and each individual covariate.

2

Cox regression model of arrest and gambling status adjusted for race, household structure, lunch status, illegal drug use by age 17, and theft/violence/property damage by age 17.

*

By age 17.