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. Author manuscript; available in PMC: 2016 Jun 2.
Published in final edited form as: AIDS Behav. 2010 Oct;14(5):1001–1010. doi: 10.1007/s10461-010-9711-2

Table 3.

Factors associated with ulcerative sexually transmitted infections among men who have sex with men in Tamil Nadu, India (n = 721)

Variable Unadjusted PR syphilis (95% CI) Adjusted PR syphilis (95% CI) Unadjusted PR HSV-2 (95% CI) Adjusted PR HSV-2 (95% CI)
Age (per 5 year increase) 1.33 (1.26, 1.40) 1.34 (1.27, 1.40) 1.23 (1.17, 1.29) 1.23 (1.17, 1.28)
Highest level of education
 Secondary/university 1 1 1 1
 Primary 1.03 (0.44, 2.44) 0.89 (0.41, 1.92) 0.68 (0.47, 0.98) 0.69 (0.50, 0.94)
 None 0.47 (0.23, 0.96) 0.55 (0.26, 1.18) 0.49 (0.34, 0.72) 0.64 (0.49, 0.85)
Marital status
 Unmarried 1 1 1 1
 Married 1.79 (1.06, 3.02) 1.14 (0.76, 1.73) 1.45 (1.06, 1.97) 1.03 (0.81, 1.32)
Monthly income
 < USD 40 1 1
 USD 40–125 1.09 (0.55, 2.14) 0.81 (0.66, 1.01)
 > USD 125 1.34 (0.76, 2.37) 0.59 (0.37, 0.92)
Number of male partners in the prior year
 ≤5 1 1 1 1
 6–15 1.74 (0.76, 4.0) 1.59 (0.69, 3.67) 1.49 (0.97, 2.29) 1.58 (0.98, 2.54)
 16–49 2.08 (0.75, 5.74) 1.78 (0.66, 4.8) 1.48 (0.98, 2.25) 1.44 (0.91, 2.28)
 ≥50 3.43 (1.36, 8.66) 2.76 (1.17, 6.52) 2.07 (1.27, 3.35) 1.96 (1.16, 3.32)
Unprotected anal intercourse (UAI) in prior year
 Never 1 1 1 1
 Sometimes 1.15 (0.70, 1.91) 1.17 (0.74, 1.85) 1.23 (0.91, 1.67) 1.3 (0.97, 1.74)
 Always 0.57 (0.29, 1.12) 0.57 (0.30, 1.09) 1.26 (0.83, 1.92) 1.33 (0.95, 1.85)
Commercial sex with male in prior year
 No 1 1
 Yes 1.05 (0.68, 1.63) 1.19 (0.92, 1.54)
Have at least one male main partner
 No 1 1 1 1
 Yes 1.01 (0.66, 1.55) 1.30 (0.84, 2.01) 0.97 (0.73, 1.29) 1/09 (0.82, 1.43)
Sex with a woman in prior year
 No 1 1
 Yes 0.86 (0.52, 1.42) 0.94 (0.71, 1.24)
Ever had HIV test
 No 1 1
 Yes 1.88 (0.86, 4.07) 1.17 (0.84, 1.63)

PR prevalence ratio, CI confidence interval estimated using robust standard errors; all variables listed were included in the final multivariate model; the decision not to include specific variables was based on statistical significance and collinearity between variables. For example, marriage and sex with women were too highly correlated to both be included