Lay knowledge and management of malaria in Baringo county, Kenya

Malaria Journal

Table 1 Logistic regression model analyzing the association between knowledge and demographic characteristics

Logistic regression				Number of obs = 560
				LR χ² (18) = 57.12
Log likelihood = −357.36707				Prob > χ² = 0.000
				Pseudo R² = 0.07040
Knowledge	Odds ratio	Std. error	z	p > \|z\|	95 % CI
Sex
Female	1.506	0.312	1.97	0.048	1.003–2.261
Marital status
Married monogamous	0.278	0.184	−1.94	0.053	0.076–1.015
Married polygamous	0.322	0.228	−1.60	0.110	0.081–1.290
Separated	0.960	0.890	−0.04	0.965	0.156–5.905
Widowed	0.624	0.446	−0.66	0.510	0.154–2.533
House type
Male only, no female adult	0.797	0.394	−0.46	0.647	0.303–2.101
Female only, no male adult	0.245	0.116	−2.97	0.003	0.097–0.619
Age	0.990	0.007	−1.36	0.173	0.977–1.004
Education
Primary	0.727	0.199	−1.16	0.245	0.425–1.244
Secondary	1.990	0.681	2.01	0.044	1.017–3.891
Tertiary	3.209	1.633	2.29	0.022	1.183–8.702
Main livelihood activities
Livestock farming	0.462	0.111	−3.21	0.001	0.288–0.741
Self-employed service delivery	0.627	0.233	−1.26	0.208	0.303–1.297
Self-employed goods delivery	0.657	0.209	−1.32	0.186	0.353–1.225
Wage employment	0.733	0.250	−0.91	0.363	0.376–1.431
Salaried employment	1.069	0.503	0.14	0.888	0.425–2.690
None	1.310	1.414	0.25	0.803	0.158–10.863
Other	0.423	0.335	−1.08	0.278	0.090–2.001
_cons	6.844	5.539	2.38	0.017	1.401–33.433

Reference groups: sex-male, marital status-single (never married), household type-male headed with spouse, education-none, main livelihood activity-crop farming

ISSN: 1475-2875