Table 5.

Multivariate logistic regression analysis: predicting the likelihood of having high HDDS in Ethiopia

Predicting variables		Number	β	AOR (95% CI)	P
Sex of the household head	Male	20,921		1
	Female	7074	−0.11	0.89 (0.80,0 .99)	0.04*
Residence	Urban	6035	0.61	1.83 (1.61, 2.08)	0.01*
	Rural	21,958		1
Literacy status of the household head	Read and write	11,125	0.58	1.79 (1.62, 1.98)	0.01*
	Not read and write	16,871		1
Experienced Shock in the past 12 months	Yes	7340	−0.07	0.93 (0.83, 1.03)	0.20
	No	20,655		1
Illness in the past 2 weeks	Yes	2778	0.06	0.93 (0.79, 1.12)	0.52
	No	25,817		1
Own livestock	Yes	20,970	0.46	1.58 (1.37–1.82)	0.01*
	No	7025		1
Engaged in farming	Yes	21,724	0.09	1.10 (0.94–1.28)	0.22
	No	6271
Food shortage in the past 12 months	Yes	4047	−0.96	0.38 (0.33–043)	0.01*
	No	23,948		1
Household size	≤4	13,375		1
	>4	14,620	0.16	1.18 (1.06, 1.29)	0.02*
Socio Economic Score	Low	17,921		1
	Medium	6945	0.66	1.93 (1.71, 2.19)	0.01*
	High	3129	1.68	5.37 (4.56, 6.32)	0.01*
Age of the household head	≤20	662	0.05	1.05 (0.78,1.39)	0.75
	21–30	6316	0.24	1.27 (1.12, 1.44)	0.01*
	31–40	7245	0.11	1.11 (0.98 , 1.25)	0.08
	41–50	5411	0.04	1.04 (0.91, 1.18)	0.54
	>50	8359		1

Parameter estimates were adjusted for the tabulated variables. *significant predictors at p < 0.05