Predictors of Stunting among School-Age Children in Northwestern Ethiopia

Table 4

Binary logistic regression analysis results in school-age children at Mecha district, Northwestern Ethiopia, 2017 (N = 800).

Variables	Stunted (N = 303)	Nonstunted (N = 497)	COR (95% CI)	values
Residence
Rural	295	438	4.97 (2.34, 10.55)	P < 0.0001
Semiurban	8	59	1.00
Age of children
121–180 months	149	193	1.52 (1.14, 2.03)	P = 0.004
60–120 months	154	304	1.00
Fully immunized child
No	46	13	6.66 (3.54, 12.6)	P < 0.0001
Yes	257	484	1.00
Source of drinking water
Unprotected source	194	280	1.4 (1.03, 1.85)	P = 0.032
Protected source	109	217	1.00
Hand washing practice of child’s mother after toilet
Not washed	25	28	2.43 (1.20, 4.93)	P = 0.014
Using only water	190	309	1.67 (1.02, 2.74)	P = 0.041
Sometimes soap/ash	63	92	1.86 (1.07, 3.26)	P = 0.029
Always soap/ash	25	68	1.00
Wealth index
Quintile 1	56	104	2.15 (1.30, 3.57)	P = 0.003
Quintile 2	74	86	3.44 (2.10, 5.66)	P < 0.0001
Quintile 3	70	90	3.11 (1.89, 5.12)	P < 0.0001
Quintile 4	71	89	3.19 (1.94, 5.25)	P < 0.0001
Quintile 5	32	128	1.00
Family size
≥5	249	338	2.17 (1.53, 3.08)	P < 0.0001
<5	54	159	1.00
Father’s education
Illiterate	242	355	1.59 (1.13, 2.23)	P = 0.008
Literate	61	142	1.00
Mother’s education
Illiterate	281	383	3.80 (2.35, 6.15)	P < 0.0001
Literate	22	114
Mother’s occupation
Housewife/farmer	283	407	9.04 (1.18, 69.49)	P = 0.034
Merchant	19	77	3.21 (0.39, 26.07)#	P = 0.276
Govern’t and private worker	1	13	1.00
Father’s occupation
Farmer	290	387	8.24 (2.93, 23.20)	P < 0.0001
Merchant	9	66	1.50 (0.44, 5.17)^#	P = 0.521
Government and private worker	4	44	1.00
Types of FP used
Not used modern FP	104	142	3.30 (1.47, 7.39)	P = 0.004
Short term	191	319	2.69 (1.23, 5.92)	P = 0.014
Long term andand permanent	8	36	1.00

Note.^#Not significant in binary logistic regression; COR: crude odds ratio.