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Table 5 Multivariate logistic regression analysis: predicting the likelihood of having high HDDS in Ethiopia

From: Household dietary diversity and Animal Source Food consumption in Ethiopia: evidence from the 2011 Welfare Monitoring Survey

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

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