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Table 4 Multi-level model results for the relationship between height-for-age Z-score and NGI in Nepalese children

From: Effective nutrition governance is correlated with better nutrition outcomes in Nepal

Variable HAZ WHZ
Model 1 Model 2 Model 3 Model 4 Model 1 Model 2 Model 3 Model 4
Child-level estimates
 Intercept -1.49*** -1.70*** -1.64*** -1.68*** -0.75*** -1.92*** -1.86*** -1.96***
 Child’s age
   > 24 months   -1.51*** -1.52*** -1.51***   0.14*** 0.14*** 0.14***
   ≤ 24 months   Ref Ref Ref   Ref Ref Ref
 Female child   -0.02 -0.02 -0.02   0.03 0.03 0.03
 CDDSa   -0.14*** -0.14*** -0.14***   -0.02*** -0.02*** -0.02***
 No feverb   0.04** 0.05** 0.05**   0.13*** 0.14*** 0.14***
 Month of birth   -0.01** -0.01** -0.01**   -0.00 -0.00 -0.00
 Mother’s education   0.04*** 0.04*** 0.04***   0.01*** 0.01*** 0.01***
 Mother’s BMI   0.04*** 0.04*** 0.04***   0.06*** 0.06*** 0.06***
 Mother’s age   0.01*** 0.01*** 0.01***   -0.00* -0.00* -0.00*
Community-level estimates
 NGI (Z-score)    -0.02 -0.09    -0.05 -0.07
 NGI (Z-score) & child’s age
  NGI & > 24 months     0.12***     0.04*
  NGI & ≤ 24 months     Ref     Ref
 Panel 2    -0.07** -0.07***    -0.07*** -0.07***
 Panel 4    Ref Ref    Ref Ref
Covariance parameters
 Intercept 0.116*** 0.094*** 0.094** 0.094** 0.199*** 0.117** 0.115** 0.115**
 Residual 1.555*** 1.367*** 1.365*** 1.362*** 0.950*** 0.902*** 0.901*** 0.901***
 ICC 0.07 0.06 0.06 0.06 0.17 0.11 0.11 0.11
Model fit statistics
AIC 42,546.8 37,608.4 37,601.8 37,574.4 30,878.9 27,854.5 27,843.0 27,841.4
N 12,950 11,910 11,910 11,910 11,046 10,148 10,148 10,148
  1. *p < 0.10; ** p < 0.05; *** p < 0.001
  2. aChild’s diet diversity score; bChild had no fever in the past 30 days; Estimates are beta coefficients; Values based on SAS PROC MIXED; Estimation method is Maximum Likelihood