Female Genital Mutilation in Ghana: Prevalence and Socioeconomic Predictors

Table 4

Multiple regression for predictors of female genital mutilation in Ghana.

	B	S.E.	Wald	Sig.	AOR	95% C.I. for AOR
						Lower	Upper
Residence (rural/urban)	.831	.138	36.408	≤ .001	2.296	1.753	3.007
Western			403.536	≤ .001
Central	-.852	.424	4.039	.044	.426	.186	.979
Greater Accra	-.317	.301	1.115	.291	.728	.404	1.312
Volta	-1.762	.544	10.489	.001	.172	.059	.499
Eastern	-1.746	.440	15.784	≤ .001	.174	.074	.413
Ashanti	-.692	.232	8.917	.003	.500	.318	.788
Brong-Ahafo	-1.193	.265	20.245	≤ .001	.303	.180	.510
Northern	-1.569	.229	46.909	≤ .001	.208	.133	.326
Upper East	-.513	.212	5.846	.016	.599	.395	.907
Upper West	.608	.206	8.700	.003	1.836	1.226	2.750
Below 15			9.009	.029
15-24	-.284	.095	8.845	.003	.753	.624	.908
25-34	-.247	.158	2.429	.119	.782	.573	1.066
35 years and above	-.062	.435	.020	.887	.940	.401	2.206
Akan			246.865	≤ .001
GA/Dangme	-.038	.772	.002	.961	.963	.212	4.373
Ewe	.364	.660	.304	.581	1.439	.395	5.240
Guan	2.188	.472	21.465	≤ .001	8.919	3.534	22.509
Gruma	1.864	.407	20.988	≤ .001	6.447	2.905	14.310
Mole Dagbani	3.640	.299	148.010	≤ .001	38.100	21.195	68.489
Grusi	3.813	.314	147.261	≤ .001	45.302	24.470	83.869
Mande	4.228	.408	107.642	≤ .001	68.576	30.853	152.421
Other	3.379	.306	122.185	≤ .001	29.328	16.111	53.388
Preprimary or none			136.214	≤ .001
Primary	-.712	.111	40.934	≤ .001	.491	.395	.610
JSS/JHS/middle	-1.363	.148	84.693	≤ .001	.256	.191	.342
SSS/SHS/secondary	-1.211	.232	27.142	≤ .001	.298	.189	.470
Higher	-2.625	.606	18.773	≤ .001	.072	.022	.238
Health insurance	.109	.075	2.077	.150	1.115	.962	1.293
Poorest			14.105	.007
Second	.079	.104	.568	.451	1.082	.882	1.327
Middle	-.019	.143	.018	.892	.981	.741	1.298
Fourth	-.223	.194	1.329	.249	.800	.547	1.169
Richest	.587	.211	7.718	.005	1.799	1.189	2.722