A machine learning classifier approach for identifying the determinants of under-five child undernutrition in Ethiopian administrative zones

Fenta, Haile Mekonnen; Zewotir, Temesgen; Muluneh, Essey Kebede

doi:10.1186/s12911-021-01652-1

BMC Medical Informatics and Decision Making

Table 2 Sample characteristics (n = 29,333)

From: A machine learning classifier approach for identifying the determinants of under-five child undernutrition in Ethiopian administrative zones

Variables	Categories	Nourished (%)	CIAF (%)	X² test statistic	p values
Sex of child	Male	44.74	55.26	29.96	< 0.001
Sex of child	Female	47.93	52.07	29.96	< 0.001
Age of a child (months)	< 23	55.40	44.60	652.83	< 0.001
Age of a child (months)	24–59	40.25	59.78	652.83	< 0.001
Vitamin A	Yes	43.75	56.25	75.02	< 0.001
Vitamin A	No	48.79	51.21	75.02	< 0.001
Birth order	1	50.36	49.64	67.89	< 0.001
	2–3	47.55	52.45
	4 +	44.17	55.83
Breastfeeding	Yes	46.21	53.79	0.14	0.707
Breastfeeding	No	46.59	53.41	0.14	0.707
Comorbidity	Yes	43.17	56.83	58.25	< 0.001
Comorbidity	No	47.88	52.12	58.25	< 0.001
Size of the child at birth	Smaller than average	46.30	53.7	268.357	< 0.001
	Average	48.06	51.94
	Larger than average	50.9	49.10
Dietary diversity score (DDS)	Below minimum	46.56	53.44	2.432	0.349
Dietary diversity score (DDS)	Minimum	45.51	54.49	2.432	0.349
Types of birth	Singleton	46.62	53.38
Types of birth	Multiple	29.17	70.83
Mother’s age	15–24	48.51	51.49	31.06	< 0.001
	25–34	46.46	53.54
	35–49	43.91	56.09
Place of residence	Rural	44.61	55.39	285.50	< 0.001
Place of residence	Urban	60.58	39.42	285.50	< 0.001
Mother’s education	No formal education	42.98	57.02	510.57	< 0.001
	Primary	51.81	48.19
	Secondary and above	69.85	30.15
Father’s education	No formal education	41.09	58.91	475.61	< 0.001
	Primary	49.68	50.32
	Secondary and above	59.81	40.19
Woman’s autonomy tertiles	Low autonomy	44.11	55.89	49.84	< 0.001
	Middle autonomy	47.60	52.40
	High autonomy	48.84	51.16
Source of drinking water	Unimproved	44.77	55.23	20.04	0.009
Source of drinking water	Improved	47.41	52.59	20.04	0.009
Toilet facilities	Unimproved	41.29	58.71	442.18	< 0.001
Toilet facilities	Improved	53.77	46.23	442.18	< 0.001
BMI	Underweight	40.46	59.54	278.85	< 0.001
	Normal	46.85	53.15
	Overweight	66.01	33.99
Household number	Less than 4	48.42	51.58	18.74	0.017
	5–9	45.48	54.52
	\(\ge \hspace{0.17em}\)10	47.22	52.78
Number of under-five children in HH	1	47.19	52.81	62.44	< 0.001
	2	44.23	55.77
	3 or more	50.43	49.57
Media exposure	No	43.03	56.97	205.71	< 0.001
Media exposure	Yes	51.63	48.37	205.71	< 0.001
Mother’s working status	Unemployed	48.14	51.86	65.67	< 0.001
Mother’s working status	Employed	43.27	56.73	65.67	< 0.001
Wealth quintile	Poorest	40.31	59.69	343.16	< 0.001
	Poorer	42.56	57.44
	Middle	45.92	54.05
	Richer	48.56	51.44
	Richest	56.67	43.33
EDHS	2000	38.81	61.19	394.42	< 0.001
	2005	43.62	56.38
	2011	48.54	51.46
	2016	53.34	46.66

Back to article page

ISSN: 1472-6947

Contact us

General enquiries: journalsubmissions@springernature.com