Regional differences in unmet need for contraception in Kenya: insights from survey data

BMC Women's Health

Table 4 A comparison of the coefficients between the high and low unmet need regions: The application of seemingly unrelated estimation regression

	Model 2 versus model 1		Model 4 versus model 3
	(Unmet need to space in high vs low unmet need zones)		(Unmet need to limit in high vs low unmet need zones)
Maternal age	Model 2 (β)	Model 1 (β)	Model 4 (β)	Model 3 (β)
45–49 (Ref)
15–19	3.49^a	-.018	2.50^a	−13.86^a
20–24	3.43^a	-.112	3.11^a	.269
25–29	2.98^a	-.203	2.28^a	-.139
30–34	2.72^a	-.077	2.12^a	.034
35–39	1.97^a	.403^a	1.19^a	.490^a
40–44	0.36	.727^a	.914^a	.124
Number of living children
0–2 (Ref)
3 to 5	0.17	1.05^a	.119	.892^a
6+	0.26^a	1.62^a	.651^a	1.86^a
Place of residence
Rural (Ref)
Urban	0.47^b	.187	1.31^a	-.387
Maternal education
Secondary complete + (Ref)
None	0.45^a	.714^a	.785^a	.353^b
Primary incomplete	0.45^a	.726^a	.830^a	.189
Primary complete	0.13	.576^a	.177	.113
Secondary incomplete	0.18	-.194	.227	−1.17^a
Spousal education
Secondary complete + (Ref)
None	0.07	.273^a	.625^a	-.314^b
Primary	−0.49^b	.287^b	1.47^a	-.292
Secondary incomplete	−0.33^a	-.590^a	-.204	-.750^a
Household wealth index
Poor (Ref)
Middle	−0.58^a	-.257^a	-.264	-.562^a
Rich	0.33^a	.062	-.204	.272^b
Religion
Protestants/other (Ref)
Roman catholic	0.35^a	-.424^a	-.264	−1.06^a
Muslims	0.45^a	-.076	.332^b	1.31^a
χ ² test		1065.13		1062.6
df		21		20
p-value		0.000		0.000

ISSN: 1472-6874