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Table 3 Independent risk factors for STI-acquisition regarding risk groups, bivariable and multivariable logistic regression (n = 2145)

From: STI in times of PrEP: high prevalence of chlamydia, gonorrhea, and mycoplasma at different anatomic sites in men who have sex with men in Germany

  Bivariable analysis Multivariable analysis*
OR 95%-CI p OR 95%-CI p
Risk group (ref. HIV−/PrEP-)
 HIV+ 1.33 1.08–1.64 0.01 1.7 1.34–2.16 0.00
 HIV−/PrEP+ 2.03 1.51–2.70 0.00 1.98 1.46–2.66 0.00
Demographics
 Age groups (ref. 40–49 yrs)
  18–24 yrs 0.82 0.51–1.31 0.40 1.08 0.64–1.79 0.78
  25–29 yrs 1.46 1.08–1.96 0.01 1.48 1.08–2.04 0.02
  30–39 yrs 1.26 1.00–1.59 0.05 1.16 0.90–1.48 0.24
  50–59 yrs 0.69 0.51–0.91 0.01 0.67 0.50–0.91 0.01
   > 59 yrs 0.45 0.25–0.81 0.01 0.5 0.28–0.91 0.02
 City of testing (ref. Cologne)
  Aachen 0.48 0.36–0.91 0.02 0.68 0.42–1.09 0.11
  Berlin 1.2 0.88–1.63 0.26 1.22 0.87–1.70 0.24
  Bochum 0.58 0.39–0.85 0 0.66 0.44–1.0 0.05
  Dortmund 0.77 0.46–1.28 0.31 0.91 0.54–1.54 0.74
  Dresden 1.00 0.61–1.62 0.99 1.07 0.65–1.77 0.79
  Munich 1.19 0.82–1.73 0.94 1.15 0.78–1.71 0.48
  Nurnberg 1.56 0.73–3.32 0.25 1.53 0.69–3.40 0.29
  Stuttgart 0.99 0.66–1.49 0.96 1.03 0.67–1.59 0.88
 Country of birth (ref. Germany)
  Other country 1.24 1.01–1.51 0.04 1.06 0.85–1.32 0.60
  1. * p < 0.01 for overall multivariable logistic regression model