Table II.

Univariate and multivariate analysis of demographic and socioeconomicrisk factors stratified by gender.

	MALE				FEMALE
	UNIVARIATE		MULTIVARIATE8		UNIVARIATE		MULTIVARIATE
Characteristic9	OR	p	OR (95% CI)	p	OR	p	OR (95% CI)	p
Age	0.96	0.028	0.95 (0.9–1.0)	0.042	0.94	<.0001	0.95 (0.9–1.0)	0.0038
Years on ART	0.91	0.247	0.98 (0.8–1.2)	0.80	0.82	0.0049	0.83 (0.7–1.0)	0.012
≥ 12 yrs education	1.62	0.13	1.20 (0.6–2.4)	0.61	1.53	0.11	1.10 (0.6–2.0)	0.75
No income	2.27	0.085	0.98 (0.05–20.6)	0.99	2.01	0.011	0.55 (0.1–2.3)	0.41
Unemployed	2.40	0.080	2.14 (0.1–44.5)	0.62	1.91	0.027	1.47 (0.4–5.1)	0.54
Basic Labor	1.83	0.12			0.79	0.50
Skilled Labor	0.42	0.040			0.64	0.31
Professional Labor	1.59	0.50			2.85	0.024
Self pay for care	0.53	0.19			0.51	0.018
Family pay for care	2.52	0.11	1.53 (0.2–11.0)	0.68	2.97	0.001	3.30 (1.1–10.3)	0.040
Dependent living	1.41	0.29	0.87 (0.4–1.9)	0.74	1.98	0.010	0.99 (0.5–1.9)	0.98
Owns a car	2.36	0.013	3.10 (1.5–6.5)	0.0031	1.32	0.52	1.61 (0.7–4.0)	0.30
Travel via Minibus	0.68	0.26			0.71	0.46

⁸Multivariate models are those used in Table 1, utilizing variables found significant (p<0.05) in univariate analysis, excluding variables of significant colinearity. Education was forced despite borderline significance in univariate models (p=0.08 for entire cohort)

⁹Categories are as stated in Table I