Table 4 Univariable and multivariable analysis for risk factors associated with HIV infection among transgender women in two Chinese cities, 2016 (n = 498)
From: Correlates of HIV infection among transgender women in two Chinese cities
Variables | No. of participants | HIV infection rate (%) | cOR (95% CI) | P | aOR (95% CI) | P |
|---|---|---|---|---|---|---|
Study sites | ||||||
Tianjin | 265 | 3.4 | 1.00 | 1.00 | ||
Shanghai | 233 | 12.4 | 3.46 (1.49–8.01) | < 0.01 | 9.35 (3.89–22.49) | < 0.01 |
Age group | ||||||
≤ 30 | 325 | 7.1 | 1.00 | |||
31–40 | 121 | 11.6 | 3.88 (0.51–29.40) | 0.19 | ||
≥ 41 | 52 | 1.9 | 6.67 (0.85–52.15) | 0.07 | ||
Local residency | ||||||
Yes | 301 | 5.3 | 1.00 | |||
No | 197 | 11.2 | 2.24 (1.15–4.38) | 0.02 | ||
Education | ||||||
> 13 years | 284 | 6.0 | 1.00 | |||
10–12 years | 145 | 6.9 | 1.16 (0.52–2.61) | 0.71 | ||
≤ 9 years | 69 | 15.9 | 2.98(1.33–6.69) | 0.01 | ||
Buying sex in the past 3 months | ||||||
No | 473 | 7.0 | 1.00 | 1.00 | ||
Yes | 25 | 20 | 3.33 (1.18–9.45) | 0.02 | 3.59 (1.00–12.87) | 0.05 |
Selling sex in the past 3 months | ||||||
No | 447 | 6.7 | 1.00 | 1.00 | ||
Yes | 51 | 15.7 | 2.59 (1.12–5.99) | 0.03 | 3.44 (1.31–9.01) | 0.01 |
Substance use in the past 6 months | ||||||
Yes | 298 | 5.0 | 1.00 | 1.00 | ||
No | 200 | 11.5 | 2.45 (1.25–4.82) | 0.01 | 5.71 (2.63–12.41) | < 0.01 |
Ever had discrimination-related experience in hospitals | ||||||
No | 239 | 3.8 | 1.00 | |||
Yes | 259 | 11.2 | 3.22 (1.49–6.96) | < 0.01 | ||