Table 1.

Association between risk factors and hepatitis C virus (HCV) co-infection among 218 self-declared non-injection drug using women with HIV in the Republic of Georgia

		HCV Positive		Bivariate analysis	Multivariate analysis*
	Total N	N	%	PR (95% CI)	PR (95% CI)
Demographic Characteristics
Age
18-34	150	25	16.7	1.6 (0.7, 3.6)
≥35	68	7	10.3
Education
No degree	147	21	14.3	0.9 (0.5, 1.8)
College/university degree	71	11	15.5
Employment
Unemployed	163	27	16.6	1.8 (0.7, 4.5)
Employed	55	5	9.1
Marital status
Not married	57	8	14.0	0.9 (0.4, 1.9)	1.3 (0.6, 2.7)
Married	161	24	14.9
Internally displaced
Yes	29	4	13.8	0.9 (0.4, 2.5)
No	189	28	14.8
Medical Care
History of surgery
Yes	98	14	14.3	0.9 (0.5, 1.8)	0.8 (0.4, 1.7)
No	120	18	15.0
History of STI
Yes	59	8	13.6	0.9 (0.4, 1.9)	1.3 (0.6, 2.7)
No	159	24	15.1
Personal Risk Behaviors
Sex work
Yes	14	1	7.1	0.5 (0.1, 3.2)
No	204	31	15.2
Number of sexual partners
> 1 partner	70	10	14.3	0.9 (0.5, 1.9)
1 partner	148	22	14.9
Partner Related Factors
Partner risk factor
IDU documented	149	29	19.5	4.5 (1.4, 14.2)
IDU not documented	69	3	4.4
Partner HIV status
HIV positive	185	31	16.8	5.5 (0.8, 39.1)
HIV negative/no regular partner	33	1	3.0
Partner HCV status
HCV positive	147	30	20.4	7.2 (1.8, 29.5)	8.1 (1.9, 34.0)
HCV negative/no regular partner	71	2	2.8

* Partner IDU status and partner HIV status were dropped from the model due to colinearity with partner's HCV status. Initial multivariate model included all variables. The final model retained variables "Marital status", "history of STI" and "Marital status" because of confounding effect.