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. 2012 Jun 27;206(5):654–661. doi: 10.1093/infdis/jis410

Table 2.

Multivariate Logistic Regression of Risk Factors for Hepatitis C Virus Infection

Risk Factora Results of Third-Generation RIBA
Multivariate Logistic Regression Analysisb
Positive, no. (%) (n = 469) Negative, no. (%) (n = 217) Odds Ratio (95% CI) P
IDU 195 (42) 2 (1) 35.0 (10.4–218.0) <.0001
Blood transfusion 126 (27) 17 (8) 9.9 (5.6–18.3) <.0001
Intranasal cocaine use 292 (62) 23 (11) 6.4 (3.8–11.2) <.0001
Intranasal cocaine use without IDU or blood transfusion 79 (49)c 20 (10)c 8.5 (4.9–15.1) <.0001
Occupational exposure 27 (6) 5 (2) 3.8 (1.3–12.4) .0176
Sexual promiscuity 243 (52) 48 (22) 2.3 (1.4–3.7) .0006
 Malesd 148 (58) 36 (30) 3.3 (2.1–5.3) <.0001
 Femalese 95 (44) 12 (13) 5.5 (3.0–11.2) <.0001
Ear piercing 273 (58) 86 (40) 1.8 (1.2–2.8) .0088
 Malesd 70 (28) 1 (<1) 45.9 (9.9–815) .0002
 Femalese 203 (95) 85 (89) NS
Male sex 254 (54) 121 (56) NS
Tattooing 102 (22) 9 (4) NS
Acupuncture 29 (6) 5 (2) NS

Data are ordered by odds ratio.

Abbreviations: CI, confidence interval; IDU, injection drug use; NS, nonsignificant; RIBA, recombinant immunoblot assay.

aOrder of entry into the model (forward selection method): (1) intranasal cocaine use, (2) blood transfusion, (3) IDU, (4) sexual promiscuity, (5) ear piercing, and (6) occupational exposure.

b Ellipses indicate that the risk factor did not meet criteria for entry into the model.

c Results from analysis of a subset of 361 subjects who denied IDU and blood transfusion (163 RIBA positive, 198 RIBA negative).

d Results from analysis of a subset of 375 males (254 RIBA positive, 121 RIBA negative).

e Results from analysis of a subset of 311 females (215 RIBA positive, 96 RIBA negative).