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. Author manuscript; available in PMC: 2018 Feb 1.
Published in final edited form as: Addiction. 2016 Nov 14;112(2):290–298. doi: 10.1111/add.13601

Table 2b.

Logistic models of HIV prevalence among NIDUs in New York City 2005-2014

2005-2010 2011-2014 2005-2014 2005-2014 (annual)
Time period AOR (95% CI) AOR (95% CI) AOR (95% CI) AOR (95% CI)
2005-2010 - - 1 (ref)
2011-2014 - - 0.6 (0.5-0.8)*
Year-of-interview (2005-2014) 0.92 (0.89-0.96)*
Gender/MSM
Non-MSM Male 1 (ref) 1 (ref) 1 (ref) 1 (ref)
MSM# 5.3 (3.6-7.7)* 7.8 (3.9-15.5)* 5.8 (4.2-8.1)* 5.91 (4.24-8.24)*
Female 2.1 (1.6-2.8)* 2.1 (1.3-3.6)* 2.1 (1.6-2.7)* 2.09 (1.63-2.68)*
Race ethnicity
White 1 (ref) 1 (ref) 1 (ref) 1 (ref)
African American 3.5 (1.5-8.3)* 3.6 (0.8-15.7) 3.6 (1.7-7.6)* 3.65 (1.73-7.70)*
Latino/a 3.5 (1.4-8.4)* 3.7 (0.8-16.6) 3.6 (1.7-7.8)* 3.64 (1.69-7.85)*
Age
31 or greater 1 (ref) 1 (ref) 1 (ref) 1 (ref)
18-30 years 0.5 (0.3-1.0) 0& 0.5 (0.2-0.8)* 0.45 (0.24-0.85)*
Drug use
Heroin/nasal 0.6 (0.4-0.8)* 0.6 (0.3-0.9)* 0.6 (0.4-0.7)* 0.57 (0.44-0.73)*
Cocaine/nasal 0.7 (0.5-0.9)* - 0.7 (0.6-0.9)* 0.72 (0.57-0.91)*
Crack cocaine/smoked 1.7 (1.1-2.5)* 1.7 (1.0-3.1) 1.8 (1.3-2.4)* 1.74 (1.26-2.39)*

AOR could not be calculated as there were no HIV seropositive NIDU in the younger age group in the second time period

For multivariable logistic analyses we used case-wise deletion when any observation had a missing value for one or more of the predictor variables.

This reduced sample sizes by < 3%.

*

Significant effect (p < 0.05