Table 3.
Predictors of SR-STIs among adolescent girls and young women in SSA
| Variables | Model 0 | Model 1, aOR (95% CI) | Model 2, aOR (95% CI) | Model 3, aOR (95% CI) |
|---|---|---|---|---|
| Age in 5-y groups | ||||
| 15–19 | 1 (1.00 to 1.00) | 1 (1.00 to 1.00) | ||
| 20–24 | 1.40*** (1.31 to 1.50) | 1.36*** (1.27 to 1.46) | ||
| Highest education level | ||||
| None | 1 (1.00 to 1.00) | 1 (1.00 to 1.00) | ||
| Primary | 0.87** (0.79 to 0.96) | 0.86** (0.78 to 0.94) | ||
| Secondary/higher | 0.98 (0.89 to 1.07) | 0.83*** (0.75 to 0.92) | ||
| Current marital status | ||||
| Not married | 1.75*** (1.60 to 1.90) | 1.64*** (1.51 to 1.79) | ||
| Married | 1 (1.00 to 1.00) | 1 (1.00 to 1.00) | ||
| Respondents occupation | ||||
| Not working | 1 (1.00 to 1.00) | 1 (1.00 to 1.00) | ||
| Working | 1.19*** (1.11 to 1.26) | 1.20*** (1.12 to 1.27) | ||
| Age at first sex (years) | ||||
| ≤19 | 2.01*** (1.82 to 2.22) | 1.99*** (1.80 to 2.20) | ||
| ≥20 | 1 (1.00 to 1.00) | 1 (1.00 to 1.00) | ||
| Number of sex partners, excluding spouse, in the last 12 months | ||||
| 0 | 1 (1.00 to 1.00) | 1 (1.00 to 1.00) | ||
| 1 | 0.97 (0.89 to 1.05) | 0.91* (0.84 to 0.99) | ||
| ≥2 | 1.71*** (1.48 to 1.96) | 1.56*** (1.35 to 1.80) | ||
| Comprehensive HIV knowledge | ||||
| No | 1 (1.00 to 1.00) | 1 (1.00 to 1.00) | ||
| Yes | 1.07* (1.00 to 1.14) | 1.06 (0.99 to 1.13) | ||
| Read newspaper or magazine | ||||
| No | 1 (1.00 to 1.00) | 1 (1.00 to 1.00) | ||
| Yes | 0.97 (0.90 to 1.05) | 0.99 (0.92 to 1.07) | ||
| Listen to radio | ||||
| No | 1 (1.00 to 1.00) | 1 (1.00 to 1.00) | ||
| Yes | 1.18*** (1.10 to 1.26) | 1.26*** (1.17 to 1.35) | ||
| Watch television | ||||
| No | 1 (1.00 to 1.00) | 1 (1.00 to 1.00) | ||
| Yes | 1.12*** (1.05 to 1.20) | 0.90** (0.84 to 0.98) | ||
| Covered by health insurance | ||||
| No | 1 (1.00 to 1.00) | 1 (1.00 to 1.00) | ||
| Yes | 1.05 (0.94 to 1.19) | 1.10 (0.97 to 1.23) | ||
| Residence | ||||
| Urban | 1.54*** (1.42 to 1.66) | 1.42*** (1.30 to 1.54) | ||
| Rural | 1 (1.00 to 1.00) | 1 (1.00 to 1.00) | ||
| Wealth index | ||||
| Poor | 1 (1.00 to 1.00) | 1 (1.00 to 1.00) | ||
| Middle | 1.02 (0.92 to 1.11) | 1.00 (0.91 to 1.10) | ||
| Rich | 1.27*** (1.17 to 1.39) | 1.28*** (1.17 to 1.40) | ||
| Geographical subregion | ||||
| Southern Africa | 1 (1.00 to 1.00) | 1 (1.00 to 1.00) | ||
| Western Africa | 3.07*** (2.32 to 4.05) | 2.37*** (1.79 to 3.14) | ||
| Central Africa | 4.74*** (3.59 to 6.26) | 3.48*** (2.62 to 4.61) | ||
| Eastern Africa | 3.51*** (2.66 to 4.62) | 2.41*** (1.82 to 3.20) | ||
| Random effects model | ||||
| PSU variance (95% CI) | 0.27 (0.23 to 0.33) | 0.26 (0.21 to 0.31) | 0.27 (0.22 to 0.32) | 0.26(0.21 to 0.31) |
| ICC | 0.0765 | 0.0727 | 0.0751 | 0.0723 |
| Wald χ2 | Ref | 861.60*** | 581.52*** | 1168.69*** |
| Model fitness | ||||
| log-likelihood | −17 047.5 | −16 948.16 | −16 731.03 | −16 402.99 |
| AIC | 34 098.98 | 33 197.06 | 33 478.06 | 32 847.97 |
| BIC | 34 117.25 | 33 334.07 | 33 551.13 | 33 039.78 |
| Number of clusters | 1479 | 1479 | 1479 | 1479 |
Exponentiated coefficients.
*p<0.05, **p<0.01, ***p<0.001.
Ref: reference category; PSU: primary sampling unit; ICC: intraclass correlation; BIC: Bayesian information criterion.