Table 2.

Multivariable and univariate logistic regression models for independent variables associated with presence/absence of multiple infections.

	Multiple Infections				Univariate Analysis				Multivariate Analysis
	Yes (n = 324, 26%)		No (n = 945, 74%)
	n	%	n	%	OR	95% CI		p	OR	95% CI		p
Gender					0.89	0.69	1.14	0.36	0.81	0.63	1.06	0.12
Male	181	26.6	500	73.4
Female	143	24.3	445	75.7
Age group
0–31 days	24	18.3	107	81.7
1–12 months	138	20.2	545	79.8	1.13	0.70	1.83	0.62	1.11	0.69	1.80	0.67
12–24 months	65	36.7	112	63.3	2.59	1.51	4.43	<0.001	2.61	1.51	4.49	<0.001
2–5 years	82	37.4	137	62.6	2.67	1.59	4.49	<0.001	2.72	1.61	4.59	<0.001
Over 5 years	15	25.4	44	74.6	1.52	0.73	3.17	0.26	1.43	0.68	3.02	0.34
Season
Summer	60	27.5	158	72.5
Autumn	204	24.2	638	75.7	0.84	0.60	1.18	0.32	1.05	0.74	1.49	0.79
Winter	60	28.7	149	71.3	1.06	0.70	1.62	0.79	1.21	0.79	1.87	0.38