Skip to main content
. Author manuscript; available in PMC: 2014 Oct 1.
Published in final edited form as: J Subst Abuse Treat. 2013 Jul 1;45(4):350–355. doi: 10.1016/j.jsat.2013.05.004

Table 6. Selected results of latent multinomial logit model: predictors of latent class membership (n=262)1.

Variable Latent Class1

Class 3 (System-Level Barriers) (n=48)2 Class 1 (Major Barriers) (n=155) Class 2 (Low Barriers) (n=59)

Odds Ratio (95% C.I.) Odds Ratio (95% C.I.) Odds Ratio (95% C.I.)
Gender
 Female - - - - - -
 Male - - 0.67 (0.16, 2.90) 0.87 (0.12, 6.09)
Married Status
 Not Married - - - - - -
 Married - - 0.84 (0.37, 1.94) 1.19 (0.36, 3.99)
Age Group
 <30 - - - - - -
 30+ - - 0.36 (0.14, 0.92) 0.24 (0.07, 0.82)
Education
 <High School - - - - - -
 High School+ - - 0.85 (0.36, 1.99) 1.97 (0.53, 7.37)
Annual Income
 <¥20,000 - - - - - -
 ¥20,000+ - - 0.72 (0.24, 2.20) 1.83 (0.46, 7.25)
Primary Use Drug
 Other Drug - - - - - -
 Ice - - 3.40 (1.06, 10.90) 2.80 (0.56, 14.08)
Duration of Primary Drug Use (months)3 - - 1.00 (0.99, 1.00) 1.00 (1.00, 1.01)

Note:

1

When covariates were included into the model, latent class membership classification remained almost unchanged with only two cases moved from Class 3 to Classes 1 and 2, respectively.

2

Class 3 (i.e., System-level Barriers Class) was treated as the reference group.

3

Duration of primary drug use was recoded as deviation from overall mean.