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. 2021 Apr 17;21:196. doi: 10.1186/s12888-021-03189-z

Table 4.

The relationship between gender identity and HIV-related sexual behaviors

Variables a b c Gender non-conforming Transgender
B P AOR 95% CI B P AOR 95% CI
Multiple sexual partners (yes) −0.13 0.73 0.88 0.43–1.80 0.12 0.77 1.13 0.51–2.52
Male partner type
 All were regular partners/acquaintances ref ref
 All were one-night stand/occasional partners 0.16 0.78 1.17 0.38–3.64 1.25 0.047 3.49 1.02–11.98
 Both regular partners/acquaintances and one-night stand/occasional partners 0.12 0.78 1.12 0.49–2.56 0.73 0.18 2.08 0.71–6.09
Sex after drugs (yes) −0.17 0.75 0.84 0.30–2.39 0.94 0.04 2.57 1.05–6.29
Sex after drinking (yes) −0.49 0.20 0.61 0.29–1.30 −0.04 0.93 0.96 0.43–2.18
Commercial sexual behavior (yes) 0.55 0.65 1.73 0.17–18.00 1.71 0.06 5.51 0.91–33.39
Inconsistent condom use (yes) 0.58 0.16 1.79 0.79–4.08 0.08 0.86 1.09 0.43–2.78

AOR adjust odds ratio, CI confidence interval; bolded value indicated P < 0.05

aAll models controlled for age, ethnicity, educational level, marital status, employment status, monthly income, sexual orientation, depression, perceived social support, resilience and identity concealment

bHosmer and Lemeshow Test: multiple sexual partners, Chi-square = 7.69, df = 8, P = 0.47; sex after drug, Chi-square = 7.26, df = 8, P = 0.51; sex after drinking, Chi-square = 4.85, df = 8, P = 0.77; commercial sexual behaviors, Chi-square = 2.24, df = 8, P = 0.97; inconsistent condom use, Chi-square = 2.52, df = 8, P = 0.96. Model fit of male partner types: -2Log likelihood =1156.90, Chi-square = 51.378, df = 26, p = 0.002; Cox and Snell square = 0.08, Nagelkerke square = 0.09, McFadden = 0.04

cgender identity was independent variable and Reference Category were cisgender MSM