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. 2016 Jun 27;24:163. doi: 10.11604/pamj.2016.24.163.9387

Table 4.

Selected predictors of malnutrition and dietary diversity among children 6-23 months of age in rural Ethiopia, multivariate regression

Variables β(95% CI) P values
Model 1: Post-harvest WLZ
Child received minimum meal frequency -0.029(-0.63,-0.05) 0.092
Age of mothers (years) -0.047(-0.07, -0.019) 0.001
Height of mothers -0.048(-0.08,-0.019) 0.002
Age of child as greater or less than 12 months -0.057(-0.93,-0.023) 0.002
Model 2: Post-harvest IDDS
Women dietary diversity score (WDDS) 0.2(0.01 0.37) 0.042
Age of the child (months) 0.84(0.52, 1.2) <0.001
Model 3: Pre-harvest LAZ
Child MUACZ score 0.37(0.21,0.52) <0.001
Age of the child (months) -0.042(-0.08,0.001) 0.47
IDDS 0.13(-0.022,0.28) 0.093
Region 0.13(-0.28,0.54) 0.5
Model 4: Pre-harvest WLZ
Age of mothers (years) -0.033(-0.06,-0.01) 0.02
Child MUACZ score 0.36(0.22,0.49) <0.001
Region -0.067(-0.44,0.31) 0.71
IDDS 0.42(-0.03,0.86) 0.068
Model 5: Pre-harvest IDDS
WDDS 0.44(0.33,0.55) <0.001
Age of mothers (years) 0.023(-0.004, 0.05) 0.092
Region 0.21(-0.16,0.58) 0.27

Age and height of the mother are predictors of WlZ in post-harvest season while only age of the mother is significant in pre-harvest season. WDDS is significantly associated with IDDS in both seasons. As MUAC of the children increase the LAZ of the children also significantly increase. LAZ: Length-for-Age Z-score, β, coefficient for the predictor value; MUACZ: Mid Upper Arm Circumference for Age Z-score; WLZ: Weight‐for‐Length Z-score. IDDS: Infant Dietary Diversity Score; WDDS: Women Dietary Diversity Score