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. Author manuscript; available in PMC: 2018 Aug 13.
Published in final edited form as: AIDS Behav. 2017 Apr;21(4):1138–1148. doi: 10.1007/s10461-016-1584-6

Table 4.

Multivariable Prediction of Substance Use Disorders by Patient Demography and HIV Risk Factors

Beta
value
95% CI
(lower, upper)
Standard
Error
Wald X2 (1) Odds
Ratio
95% CI
(lower, upper)
Age-Group
    18–29 years 1.27 (.72, 1.82) .28 20.48*** 3.55 (2.05, 6.15)
    30–39 years 1.07 (.56, 1.58) .26 16.82*** 2.90 (1.75, 4.83)
    40–49 years .73 (.24, 1.21) .25 8.60** 2.06 (1.27, 3.35)
    50–59 years .49 (−.01, .99) .26 3.72, ns 1.64 (.99, 2.70)
    60+ years (reference) 0 1.00
Gender
    Male .51 (.21, .81) .15 10.81** 1.66 (1.23, 2.25)
    Female (reference) 0 1.00
Race/Ethnicity
    Nonhispanic Caucasian .53 (−.06, 1.11) .30 3.10, ns 1.69 (.94, 3.05)
    Nonhispanic Black −.19 (−.78, .41) .31 .37, ns .83 (.46, 1.51)
    Hispanic .01 (−.74, .77) .39 .00, ns 1.01 (.47, 2.15)
    Other (reference) 0 1.00
IDU History
    Yes .29 (−.01, .59) .15 3.69, ns 1.34 (.99, 1.81)
    No (reference) 0 1.00

Analyses based on aggregate sample (N=10,652), except where otherwise indicated, and include enrollment site as a covariate.

SUD identification based on substance-specific diagnostic thresholds from the AUDIT-C (alcohol UD) and the ASSIST (cocaine UD, marijuana UD, methamphetamine UD, opioid UD).

Odds-ratios reflect the likelihood of SUD relative to the reference category;

***

p<. 001,

**

p<. 01,

*

p<. 05.