Table 2.

Logistic regression models predicting # of syndemics on transmission risk

Model 1:< 80% ART Adherence	b (SE)	χ2	aOR	95% CI	p
N = 795, χ2(6) = 56.61, p < .001
# of syndemics	0.49 (0.09)	31.78	1.64	1.38, 1.98	< .001
age	−0.04 (0.01)	9.36	0.97	0.94, 0.99	.002
cisgender male	−0.40 (0.27)	2.08	0.67	0.39, 1.15	.150
sexual minority	0.31 (0.33)	0.84	1.36	0.69, 2.60	.360
partnered	−0.75 (0.39)	4.33	0.47	0.21, 0.96	.037
Black, non-Hispanic/Latinx	0.71 (0.32)	5.18	2.04	1.10, 3.97	.023
Model 2a: Unsuppressed Viral Load	b (SE)	χ2	aOR	95% CI	p
N = 772, χ2(6) = 55.48, p < .001
# of syndemics	0.29 (0.07)	19.78	1.33	1.17, 1.52	< .001
age	−0.04 (0.01)	17.22	0.97	0.95, 0.98	< .001
cisgender male	0.58 (0.21)’	8.05	1.78	1.17, 2.67	.005
sexual minority	−0.44 (0.26)	2.97	0.64	0.38, 1.06	.085
partnered	−0.48 (0.25)	4.07	0.62	0.37, 0.99	.044
Black, non-Hispanic/Latinx	0.48 (0.23)	4.67	1.61	1.05, 2.54	.031
Model 2b: Unsuppressed Viral Load	b (SE)	χ2	aOR	95% CI	p
N = 771, χ2(7)=103.38, p < .001
# of syndemics	0.15 (0.07)	4.70	1.16	1.01, 1.33	.030
age	−0.03 (0.01)	12.25	0.97	0.95, 0.99	< .001
cisgender male	0.70 (0.22)	10.83	2.02	1.33, 3.12	.001
sexual minority	−0.52 (0.27)	3.72	0.60	0.35, 1.01	.053
partnered	−0.36 (0.25)	2.17	0.70	0.42, 1.12	.141
Black, non-Hispanic/Latinx	0.32 (0.24)	1.91	1.38	0.87, 2.22	.167
ART adherence	−0.03 (0.00)	48.07	0.97	0.96, 0.98	<.001
Model 3: Condomless Sex in the Context of Unsuppressed Viral Load	b (SE)	χ2	aOR	95% CI	p
N = 793, χ2(6) = 28.48, p < .001
# of syndemics	0.58 (0.15)	13.43	1.78	1.30, 2.46	< .001
age	−0.07 (0.02)	11.43	0.93	0.90, 0.97	.001
cisgender male	0.11 (0.47)	0.05	1.12	0.43, 3.01	.822
sexual minority	0.05 (0.58)	0.01	1.05	0.29, 3.23	.935
partnered	0.29 (0.55)	0.25	1.34	0.39, 3.84	.616
Black, non-Hispanic/Latinx	0.97 (0.61)	2.68	2.63	0.84, 10.85	.102