Table 3

Results from a stepwise logistic regression* to identify the key socio-demographic characteristics, sexual behaviours and health-related factors associated with human papillomavirus DNA positivity of high-risk types: men

% (95% CI)Crude OR (95% CI)Adjusted OR (95% CI)Denominator
All9.6 (8.0 to 11.6)1545, 1272
Age at first heterosexual sex, yearsp=0.0001p=0.0199
 18+5.6 (3.6 to 8.5)1.001.00489, 417
 16 or 179.5 (6.8 to 13.0)1.77 (0.98 to 3.23)1.23 (0.70 to 2.14)572, 461
 <1615.7 (11.9 to 20.4)3.16 (1.86 to 5.36)2.06 (1.19 to 3.56)429, 345
Number of sexual partners§ without a condom, last yearp<0.0001p=0.0106
 03.6 (1.8 to 7.0)1.001.00319, 301
 19.1 (7.1 to 11.5)2.68 (1.25 to 5.77)2.34 (1.13 to 4.89)1001, 752
 2+24.1 (17.0 to 33.1)8.59 (3.71 to 19.9)3.59 (1.56 to 8.29)187, 186
Number of new sexual partners,§ last yearp<0.0001p=0.0347
 06.7 (5.0 to 8.9)1.001.001029, 786
 112.7 (8.4 to 18.8)2.03 (1.14 to 3.61)1.33 (0.73 to 2.43)240, 219
 2+22.6 (16.7 to 29.8)4.07 (2.51 to 6.59)2.35 (1.23 to 4.48)216, 220
  • * Variables significant at p<0.10 in the bivariate analyses (supplemental table, available online) were considered in the stepwise logistic regression where the significance level for addition to the model is p<0.10. Note that the resulting model also applies when the significance level for addition is p<0.05. When the significance level for addition is p<0.01, the only variable remaining significant in the model is the ‘number of opposite/same-sex partners without a condom, last year’. No pairwise interactions were statistically significant.

  • In order to make the model more statistically efficient, response categories were collapsed where there were no significant differences between categories.

  • Weighted, unweighted denominator defined as respondents in Natsal-2 providing a urine sample. Respondents with data missing for 1+ variable(s) were excluded from the multivariate analyses.

  • § Opposite and/or same sex sexual partner(s).