Minority stress, depression, and cigarette smoking among Chinese gay versus bisexual men: a two-group structural equation model analyses

Table 3 Sequential logistic regressions identifying correlates of past 30-day cigarette use among gay and bisexual men in China (N = 676)

Variables	Model 1			Model 2			Model 3			Model 4
Variables	OR	CI	p	OR	CI	p	OR	CI	p	OR	CI	p
*Sexual Orientation*
Gay (ref)
Bisexual	1.76	1.19–2.60	.004	1.79	1.18–2.72	.048	1.50	0.92–2.45	.151	1.45	0.89–2.35	.138
*Sociodemographics*
Age				1.00	0.98–1.03	.760	1.01	0.98–1.04	.676	0.99	0.97–1.02	.653
Rural/Urban
Urban (ref)
Rural				1.24	0.86–1.78	.250	1.26	0.85–1.87	.317	1.23	0.83–1.81	.310
Employment
Student (ref)
Employed				2.17	1.38–3.40	.655	1.98	1.22–3.22	.719	2.06	1.27–3.34	.779
Unemployed				3.96	2.09–7.50	<.001	3.69	1.85–7.37	.001	3.78	1.90–7.54	.001
*Psychosocial Risk Factors*
Outness
Yes (ref)
Never							0.98	0.59–1.63	.950	0.97	0.58–1.61	.899
Depression							1.00	0.98–1.02	.642	1.00	0.98–1.02	.775
Everyday Discrimination							1.02	0.85–1.22	.844	1.03	0.85–1.25	.772
Rejection Anticipation							0.80	0.65–1.00	.048	0.81	0.65–1.01	.057
Internal Homophobia							1.17	0.85–1.60	.342	1.15	0.84–1.28	.387
Identity Concealment							1.03	0.84–1.27	.751	1.04	0.84–1.28	.744
ACEs							1.14	0.99–1.30	.058	113	0.98–1.30	.088
*Psychosocial Protective Factors*
Resilience										1.01	0.98–1.04	.530
Social Support										0.97	0.78–1.20	.754

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