Table 5:

Predictors of HIV acquisition in the U.S. among African-born people with a new HIV diagnosis, 2000–2017, King County, WA, New York City, Chicago, and Philadelphi^{^}

			Unadjusted model			Multivariate model
	N	%	Prevalence ratio	(95% confidence interval)		Prevalence ratio	(95% confidence interval)
Gender
Women	25	22.1	0.91	0.52	1.57	0.23	0.08	0.68
Men	16	24.2	1.00	-	-	1.00	-	-
Age at interview, years
18–25	1	11.1	0.84	0.12	5.87	5.64	0.97	32.64
26–35	8	25.9	1.89	0.80	4.44	4.39	1.86	10.39
36–45	23	33.8	2.56	1.28	5.11	2.17	1.09	3.96
46 and older	9	13.2	1.00	-	-	1.00	1.00	1.00
Education
Less than high school	10	21.1	1.00	-	-	1.00	-	-
High school or some college	18	28.6	1.36	0.72	2.56	0.75	0.40	1.41
College and post-graduate	11	20.4	0.99	0.48	2.04	0.62	0.31	1.25
Immigration year
Immigrated before 2010	6	7.8	4.62	2.05	10.40	7.40	2.67	20.46
Immigrated in 2010 or after	35	36.1	1.00	-	-	1.00	-	-
Childhood family income
Low income	7	13.5	1.00	-	-	1.00	-	-
Middle income	22	23.9	1.74	0.80	3.80	1.27	0.57	2.89
High income	10	41.7	3.04	1.32	7.00	2.69	0.98	7.35
Parenthood
Does not have children	10	23.8	1.00	-	-	1.00	-	-
Has children	31	22.6	0.96	0.52	1.80	0.67	0.32	1.43
Interaction term
Gender and parenthood			5.56*	1.13	27.5	3.89*	1.10	13.79

^*PR for interaction term indicates the additional increase in prevalence of local acquisition among women who have children.

^{^}Statistically significant results in bold font