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Table 3 Binary logistic regression analysis on the factors associated with self-reported STIs among sexually active men in sub-Saharan Africa

From: A multi-country cross-sectional study of self-reported sexually transmitted infections among sexually active men in sub-Saharan Africa

Variable Model I
cOR[95%CI]
Model II
aOR[95%CI]
Age
 15–24 2.382***[2.156,2.632] 1.414***[1.255,1.593]
 25–34 2.200***[1.999,2.420] 1.768***[1.600,1.953]
 35–44 1.549***[1.397,1.717] 1.449***[1.307,1.608]
 45+ Ref Ref
Residence
 Rural 0.808***[0.763,0.855] 0.930*[0.876,0.991]
 Urban Ref Ref
Educational level
 Second/higher 1.574***[1.455,1.704] 1.008[0.912,1.114]
 Primary 1.317***[1.207,1.436] 1.095[0.994,1.206]
 No education Ref Ref
Marital status
 Not married Ref Ref
 Married 0.487***[0.460,0.515] 0.971[0.890,1.058]
Occupation
 Working 0.857** [0.782,0.940] 1.242***[1.122,1.376]
 Not working Ref Ref
Age at first sex
 < =19 2.052***[1.920,2.193] 1.196***[1.111,1.288]
 20+ Ref Ref
Number of sex partners excluding spouse in the last 12 months
 0 0.219***[0.203,0.235] 0.315***[0.285,0.349]
 1 0.439***[0.407,0.473] 0.512***[0.474,0.552]
 2+ Ref Ref
Paid for sex
 No 0.405***[0.380,0.432] 0.548***[0.511,0.588]
 Yes Ref Ref
Condom usage
 No 0.915** [0.856,0.978] 1.348***[1.245,1.459]
 Yes Ref Ref
Comprehensive HIV and AIDS knowledge
 No 1.232***[1.163,1.305] 1.143***[1.075,1.216]
 Yes Ref Ref
Exposure to newspaper
 No 0.881***[0.832,0.934] 0.926*[0.864,0.993]
 Yes Ref Ref
Health insurance coverage
 No 1.105*[1.002,1.218] 1.098[0.983,1.227]
 Yes Ref Ref
Country
 Burkina Faso 0.300***[0.182,0.493] 0.380***[0.231,0.625]
 Benin 1.295[0.870,1.928] 1.237[0.831,1.842]
 Burundi 1.072[0.710,1.618] 1.648*[1.090,2.491]
 Dr. Congo 2.657***[1.821,3.877] 2.109***[1.445,3.077]
 Congo 2.899***[1.976,4.252] 1.882**[1.280,2.765]
 Cote D’ivoire 2.282***[1.543,3.375] 1.951***[1.320,2.885]
 Cameroon 2.356***[1.606,3.456] 2.078***[1.417,3.048]
 Ethiopia 0.686[0.457,1.029] 0.901[0.601,1.349]
 Gabon 2.409***[1.638,3.542] 2.021***[1.368,2.983]
 Ghana 2.669***[1.801,3.955] 2.964***[1.996,4.402]
 Gambia 0.701[0.423,1.163] 0.894[0.539,1.483]
 Guinea 3.309***[2.225,4.921] 3.729***[2.509,5.542]
 Kenya 0.737[0.495,1.098] 0.799[0.537,1.189]
 Liberia 6.665***[4.578,9.703] 5.996***[4.117,8.731]
 Lesotho 1.401[0.879,2.235] 1.185[0.743,1.890]
 Mali 1.677* [1.101,2.554] 2.241***[1.470,3.416]
 Malawi 1.169[0.784,1.742] 1.171[0.786,1.743]
 Mozambique 2.438***[1.657,3.589] 2.169***[1.474,3.193]
 Nigeria 0.825[0.559,1.219] 0.935[0.634,1.379]
 Niger 0.283***[0.152,0.528] 0.447*[0.239,0.834]
 Namibia 1.738** [1.158,2.607] 2.028***[1.347,3.053]
 Sierra Leone 4.839***[3.331,7.030] 4.571***[3.145,6.642]
 Senegal 0.412** [0.241,0.704] 0.466**[0.273,0.795]
 Chad 0.774[0.488,1.227] 0.928[0.586,1.470]
 Togo 0.922[0.594,1.432] 1.076[0.694,1.670]
 Zambia 1.876**[1.288,2.731] 1.879***[1.292,2.732]
 Zimbabwe 1.307[0.881,1.939] 1.275[0.860,1.891]
 Comoros Ref Ref
N 130,196 130,196
  1. Exponentiated coefficients; 95% confidence intervals in brackets*p < 0.05,** p < 0.01, ***p < 0.001, cOR Crude Odds Ratio; aOR Adjusted Odds Ratios
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