Table 4.
Factors associated with recent HIV infection compared with being HIV negative in Brazil and Peru (2021–2022).
| Brazil |
Peru |
|||||||
|---|---|---|---|---|---|---|---|---|
| OR (95% CI) | p-value | aOR (95% CI) | p-value | OR (95% CI) | p-value | aOR (95% CI) | p-value | |
| Age (years) | ||||||||
| 18–24 | 3.12 (1.52–7.04) | 0.0033 | 2.85 (1.38–6.46) | 0.0072 | 2.37 (1.33–4.35) | 0.0040 | 2.45 (1.34–4.63) | 0.0045 |
| 25–30 | 2.97 (1.45–6.71) | 0.0049 | 2.52 (1.18–5.91) | 0.023 | 1.64 (0.86–3.17) | 0.13 | 1.68 (0.86–3.30) | 0.13 |
| >30 | Ref. | Ref. | Ref. | Ref. | ||||
| Gender | ||||||||
| Cisgender men | Ref. | Ref. | Ref. | Ref. | ||||
| Transgender women | 1.07 (0.44–2.22) | 0.86 | 0.89 (0.35–1.95) | 0.79 | 0.87 (0.38–1.73) | 0.71 | 1.21 (0.52–2.53) | 0.63 |
| Race | ||||||||
| Black | 0.89 (0.47–1.67) | 0.73 | 0.75 (0.38–1.41) | 0.38 | NA | NA | ||
| Pardo or Mestizo | 0.91 (0.51–1.63) | 0.76 | 0.84 (0.46–1.50) | 0.56 | 0.92 (0.47–2.01) | 0.82 | 1.06 (0.54–2.35) | 0.87 |
| White | Ref. | Ref. | Ref. | Ref. | ||||
| Education (complete) | ||||||||
| Primary | 1.87 (0.75–4.28) | 0.15 | 1.71 (0.62–4.36) | 0.27 | 0.40 (0.11–1.10) | 0.11 | 0.40 (0.11–1.14) | 0.11 |
| Secondary | 1.67 (0.95–3.08) | 0.086 | 1.37 (0.73–2.65) | 0.36 | 0.53 (0.31–0.96) | 0.028 | 0.51 (0.29–0.95) | 0.027 |
| Post-secondary | Ref. | Ref. | Ref. | Ref. | ||||
| Income per capita | ||||||||
| <0.5 | 2.23 (1.08–4.27) | 0.021 | 1.86 (0.87–3.68) | 0.087 | 1.66 (0.87–3.20) | 0.13 | 1.63 (0.84–3.17) | 0.15 |
| 0.5−<1 | 1.30 (0.69–2.34) | 0.39 | 1.10 (0.58–2.02) | 0.76 | 1.54 (0.86–2.84) | 0.15 | 1.63 (0.90–3.03) | 0.11 |
| ≥1 | Ref. | Ref. | Ref. | Ref. | ||||
Results from the multivariable logistic model using age-groups, gender, race, education, and income per capita as independent variables. The Odds-Ratio (OR) resulted from the comparison of participants with recent HIV infection with those with HIV negative status.