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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