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. Author manuscript; available in PMC: 2018 Oct 1.
Published in final edited form as: Am J Addict. 2017 Jul 5;26(7):680–688. doi: 10.1111/ajad.12582

Table 4. Multivariate logistic regression analysis of demographic, health and mental health characteristics and presence of a past year drug use disorder among homeless women patients (n=559)1.

Predictor Odds Ratio Estimate 95% Wald CI Unadjusted Bivariate Analysis
Age 0.98* 0.96-1.00 4.392,****
Black (vs. White Non-Hispanic) 0.68 0.41-1.16
All Other Races/Ethnicities (vs. White Non-Hispanic) 0.71 0.40-1.26 8.082,*

Last night on the street, in a car or abandoned building 0.74 0.27-2.01 7.523,**
Last night in own home or apartment 0.53 0.26-1.07 16.863,****
# times homeless since 18 1.00 0.95-1.06 -3.412,***
Smoker, current 1.35 0.86-2.12 19.723,****
Mild depression (vs no depression), current 1.03 0.53-1.98
Moderate/severe depression (vs no depression), current 1.86* 1.00-3.44 37.403,****
PTSD score, current 1.40 0.83-2.35 43.933,****
Psychosis 1.53 0.90-2.60 14.013,***
Physical abuse, ever 1.68 0.93-3.04 37.943,****
Sexual abuse, ever 0.78 0.47-1.29 21.993,****
Traded sex for money or drugs, ever 3.55**** 2.23-5.66 69.863,****
# Sexual partners last year 1.12** 1.03-1.22 -6.822,****
1

total number of observations used in the model; 150 were positive for drug abuse/dependence, 409 were negative and 221 observations were deleted due to missing values for the response or explanatory variables.

2

Statistic presented is the t-value from an independent sample t-test comparison. Younger age, and being White, non-Hispanic were associated with having a drug use disorder. Fewer times homeless and fewer sexual partners were associated with not having a drug use disorder.

3

Statistic presented is the Likelihood Ratio Chi-Square.

*

p<.05

**

p<.01

***

p<.001

****

p<.0001