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. Author manuscript; available in PMC: 2015 Jan 8.
Published in final edited form as: J Acquir Immune Defic Syndr. 2013 Dec 15;64(5):479–487. doi: 10.1097/QAI.0b013e3182a7acd2

Table 1. Univariable relationship between selected study demographics and serostatus for HPV 16 and 18 among HIV-positive men who have sex with men.

Characteristic (n) HPV 16+n (%) HPV 16-n (%) RR (95% CI) HPV 16+ Neut. Titer Mean ± SD HPV 18+n (%) HPV 18-n (%) RR (95% CI) HPV 18+ Neut. Titer Mean ± SD
Age at enrollment (yrs)
 ≤30 (9) 5 (56) 4 (44) 1.0 Referent 840 ±750 4 (44) 5 (56) 1.0 Referent 500 ±258
 31-40 (117) 50 (43) 67 (57) 0.77 (0.41-1.4) 1514 ±1675 53 (45) 64 (55) 1.0 (0.48-2.2) 621 ±821
 41-50 (137) 63 (46) 74 (54) 0.83 (0.45-1.5) 839 ±2211 66 (48) 71 (52) 1.1 (0.51-2.3) 608 ±801
 51-60 (24) 11 (46) 13 (54) 0.83 (0.40-1.7) 800 ±835 13 (54) 11 (46) 1.2 (0.54-2.8) 385 ±435
 >60 (9) 3 (33) 6 (67) 0.60 (0.20-1.8) 3333 ±4086 9 (56) 4 (44) 1.3 (0.49-3.2) 240 ±114
 Mean±SD 42±7.5 43±8.0 pt-test=0.77 ptrend=0.82§ ptrend=0.15ˆ 43±8.3 42±7.3 pt-test=0.56 ptrend=0.35§ ptrend=0.47ˆ
Education
 ≤High school (43) 21 (49) 22 (51) 1.0 Referent 2010 ±3632 22 (51) 21 (49) 1.0 Referent 525 ±512
 Some college (87) 36 (41) 51 (59) 0.85 (0.57-1.3) 1035 ±1822 33 (38) 54 (62) 0.74 (0.50-1.1) 508 ±666
 College (166) 75 (45) 91 (55) 0.93 (0.65-1.3) ptrend=0.89§ 961 ±1238 ptrend=0.032ˆ 86 (52) 80 (48) 1.0 (0.73-1.4) ptrend=0.37§ 616 ±844 ptrend=0.62ˆ
Race/ethnicity
 White n/Hisp. (254) 115 (45) 139 (55) 1.0 Referent 1200 ±2100 122 (48) 132 (52) 1.0 Referent 610 ±796
 White Hisp. (19) 8 (42) 11 (58) 0.93 (0.54-1.6) 938 ±597 10 (53) 9 (47) 1.1 (0.70-1.7) 405 ±473
 Other (23) 9 (39) 14 (61) 0.84 (0.51-1.5) 667 ±589 pANOVA=0.71* 9 (39) 14 (61) 0.81 (0.48-1.4) 306 ±300 pANOVA=0.39*

Confidence intervals for relative risks (RR) were computed using robust error variances.

T-test comparing mean values for seropositive and seronegative individuals for indicated characteristic.

§

Likelihood ratio trend test for relative risk.

ˆ

Generalized linear model trend test.

*

Analysis of variance F-test.