Psychosocial characteristics and HIV-related sexual behaviors among cisgender, transgender, and gender non-conforming MSM in China

Table 4 The relationship between gender identity and HIV-related sexual behaviors

Variables ^{a b c}	Gender non-conforming				Transgender
Variables ^{a b c}	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

ISSN: 1471-244X