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. Author manuscript; available in PMC: 2013 Nov 1.
Published in final edited form as: J Acquir Immune Defic Syndr. 2012 Nov 1;61(3):390–399. doi: 10.1097/QAI.0b013e3182676fe3

Table 3.

Baseline participant characteristics and univariate associations between characteristics and human papillomavirus (HPV) infection

Positive for
any HPV
Positive for
HPV 16 and/or 18
Positive for
HPV 6, 11, 16, and/or 18
Positive for
≥1 high-risk HPV typea
# HPV+/n (%)b OR (95% CI)c # HPV+/n (%) OR (95% CI) # HPV+/n (%) OR (95% CI) # HPV+/n (%) OR (95% CI)
Demographic, physical
and viral characteristics
Age, years 0.94 (0.74-1.19) 0.94 (0.72-1.22) 0.96 (0.74-1.24) 0.92 (0.75-1.12)
Race/ethnicityd
 Non-Hispanic black 58/79 (73.4) 0.92 (0.27-3.17) 13/79 (16.5) 2.95 (0.36-24.35) 15/79 (19.0) 3.52 (0.43-28.73) 45/79 (57.0) 2.91 (0.92-9.17)e
 Hispanic 12/16 (75.0) 1.00 1/16 (6.3) 1.00 1/16 (6.3) 1.00 5/16 (31.3) 1.00
Length of HIV infection
 (years)
0.97 (0.78-1.20) 1.27 (0.36-4.44) 1.03 (0.81 - 1.32) 0.96 (0.80 - 1.17)
BMI
 Obese (≥ 30.0) 30/40 (75.0) 1.04 (0.37-2.94) 7/40 (17.5) 1.27 (0.36-4.44) 7/40 (17.5) 0.85 (0.27-2.71) 20/40 (50.0) 0.84 (0.34-2.09)
 Overweight (25-29.9) 17/23 (73.9) 0.98 (0.30-3.26) 4/23 (17.4) 1.26 (0.30-5.30) 4/23 (17.4) 0.84 (0.22-3.28) 13/23 (56.5) 1.09 (0.38-3.16)
 Normal (18.5-24.9) 26/35 (74.3) 1.00 5/35 (14.3) 1.00 7/35 (20.0) 1.00 19/35 (54.3) 1.00
Knowledge about
HPV/HPV vaccine
1.01 (0.98-1.04) 0.98 (0.94-1.01) e 0.97 (0.94-1.01) e 0.99 (0.97-1.02)
CD4+ T cell
count (cells/mm3)
 <350 10/14 (71.4) 0.82 (0.23-2.89) 1/14 (7.1) 0.36 (0.04-2.96) 1/14 (7.1) 0.31 (0.04-2.52) 5/14 (35.7) 0.43 (0.13-1.39) e
 ≥350 64/85 (75.3) 1.00 15/85 (17.6) 1.00 17/85 (20.0) 1.00 48/85 (56.5) 1.00
HIV viral load (copies/mL)
 ≥400 47/59 (79.7) 1.89 (0.75-4.71) e 10/59 (16.9) 1.16 (0.38-3.48) 12/59 (20.3) 1.45 (0.49-4.24) 37/59 (62.7) 2.52 (1.11-5.75) f
 <400 27/40 (67.5) 1.00 6/40 (15.0) 1.00 6/40 (15.0) 1.00 16/40 (40.0) 1.00
Behaviors
Number of male sexual
partners, lifetime
 11+ 25/36 (69.4) 0.87 (0.29-2.55) 6/36 (16.7) 1.73 (0.39-7.63) 6/36 (16.7) 0.96 (0.26-3.53) 18/36 (50.0) 0.81 (0.30-2.17)
 6-10 26/31 (83.9) 1.98 (0.56-6.96) 6/31 (19.4) 2.08 (0.47-9.24) 6/31 (19.4) 1.15 (0.31-4.28) 17/31 (54.8) 0.99 (0.36-2.73)
 0-5 21/29 (72.4) 1.00 3/29 (10.3) 1.00 5/29 (17.2) 1.00 16/29 (55.2) 1.00
Number of male sexual
partners, past 90 days
 2 12/16 (75.0) 1.71 (0.41-7.14) 3/16 (18.8) 2.31 (0.34-15.8) 3/16 (18.8) 1.46 (0.25-8.40) 9/16 (56.3) 2.25 (0.60-8.38)
 1 47/60 (78.3) 2.07 (0.71-5.99) 10/60 (16.7) 2.00 (0.40-9.95) 11/60 (18.3) 1.42 (0.36-5.66) 35/60 (58.3) 2.45 (0.89-6.72) e
 0 14/22 (63.6) 1.00 2/22 (9.1) 1.00 3/22 (13.6) 1.00 8/22 (36.4) 1.00
Number of times had vaginal sex
with a male partner, past 90 days
 6+ 32/42 (76.2) 2.84 (0.87-9.33) e 8/42 (19.0) 3.76 (0.43-32.7) 8/42 (19.0) 1.10 (0.25-4.75) 24/42 (57.1) 4.33 (1.21-15.5) f
 1-5 26/33 (78.8) 3.30 (0.93-11.7) e 5/33 (15.2) 2.86 (0.31-26.7) 5/33 (15.2) 0.83 (0.17-4.00) 19/33 (57.6) 4.41 (1.18-16.4) f
 0 9/17 (52.9) 1.00 1/17 (5.9) 1.00 3/17 (17.6) 1.00 4/17 (23.5) 1.00
Number of times had vaginal sex
with a male partner without a
condom, past 90 days
 6+ 14/16 (87.5) 3.20 (0.65-15.8) 1/16 (6.3) 0.42 (0.05-3.69) 1/16 (6.3) 0.31 (0.04-2.67) 8/16 (50.0) 1.04 (0.34-3.20)
 1-5 23/30 (76.7) 1.50 (0.54-4.22) 7/30 (23.3) 1.91 (0.60-6.12) 7/30 (23.3) 1.42 (0.47-4.31) 18/30 (60.0) 1.56 (0.63-3.89)
 0 35/51 (68.6) 1.00 7/51 (13.7) 1.00 9/51 (17.6) 1.00 25/51 (49.0) 1.00
Number of male partners with
whom had sex without condom
past 90 days
 1+ 32/39 (82.1) 1.90 (0.70-5.12) 7/39 (17.9) 1.37 (0.45-4.14) 7/39 (17.9) 1.05 (0.36-3.04) 25/39 (64.1) 2.05 (0.89-4.72) e
 0 41/58 (70.7) 1.00 8/58 (13.8) 1.00 10/58 (17.2) 1.00 27/58 (46.6) 1.00
Number of main sex partners,
past 90 days
 2+ 4/6 (66.7) 0.67 (0.11-3.88) 2/6 (33.3) 2.79 (0.47-16.7) 2/6 (33.3) 2.38 (0.40-14.1) 4/6 (66.7) 1.83 (0.32-10.5)
 0-1 69/92 (75.0) 1.00 14/92 (15.2) 1.00 16/92 (17.4) 1.00 48/92 (52.2) 1.00
Number of casual sexual
partners, past 90 days
 2+ 6/7 (85.7) 2.15 (0.25-18.8) 2/7 (28.6) 2.20 (0.39-12.5) 2/7 (28.6) 1.88 (0.33-10.5) 4/7 (57.1) 1.19 (0.25-5.64)
 0-1 67/91 (73.6) 1.00 14/91 (15.4) 1.00 16/91 (17.6) 1.00 48/91 (52.7) 1.00
Pregnancy prevention
method at last sexual
intercourse with main
partner
 Others 20/27 (74.1) 0.95 (0.35-2.62) 2/27 (7.4) 0.33 (0.07-1.57)e 3/27 (11.1) 0.48 (0.13-1.79) 13/27 (48.1) 0.74 (0.31-1.80)
 Condom 54/72 (75.0) 1.00 14/72 (19.4) 1.00 15/72 (20.8) 1.00 40/72 (55.6) 1.00
STIh diagnosed
Trichomonas 7/9 (77.8) 1.17 (0.23-6.04) 2/9 (22.2) 1.65 (0.31-8.83) 2/9 (22.2) 1.39 (0.26-7.36) 5/9 (55.6) 1.09 (0.27-4.33)
Gonorrhea N/Ag N/A N/A N/A N/A N/A N/A N/A
Chlamydia 5/5 (100.0) Inf (0.31-Inf)i 1/5 (20.0) 1.32 (0.14-12.6) 1/5 (20.0) 1.13 (0.12-10.8) 5/5 (100.0) Inf (0.82-Inf)i
At least one STI 11/13 (84.6) 2.01 (0.41-9.75) 2/13 (15.4) 0.94 (0.19-4.69) 2/13 (15.4) 0.80 (0.16-3.95) 9/13 (69.2) 2.15 (0.61-7.50)
a

High-risk HPV was defined as HPV-16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, or 68

b

# HPV+ = number of HPV positive subjects; n = total number of subjects in a specific category; % = percentage of HPV positive subjects within the specific category

c

OR = odds ratio, CI = confidence interval

d

The number of non-Hispanic White participants (N=4) was too small to generate a stable estimate; therefore, the non-Hispanic White participants were not included in this model and Hispanic was used as the reference group.

e

.05 ≤ p < .20. For variables with more than two categories, the overall (Type III) p-value was used to determine if the variable was eligible to be entered into the multivariable models.

f

.01 ≤ p < .05. For variables with more than two categories, the overall (Type III) p-value was used to determine if the variable was eligible to be entered into the multivariable models.

g

N/A = not applicable; unable to calculate as no participants were diagnosed with gonorrhea.

h

STI = sexually transmitted infection present at the time of HPV testing. The reference group was defined as negative for diagnosis of an STI.

i

Due to zero cell frequencies in some cells, the odds ratios and 95% confidence intervals for these variables were calculated using exact logistic regression.