Table 5

Parameter estimates and standard errors from linear mixed effects model predicting linear growth (height increase) of boys over the follow up period
Effect (n=1431) Estimate SE P
Fixed Effects
Food Insecurity −0.3382 0.3405 0.3210
Height for age z-scores at baseline 6.6557 0.0911 <.0001
Food Insecurity X Time 0.1420 0.2904 0.6249
Time 1.3737 0.4000 0.0006
Age of boys at baseline 3.9514 0.0804 <.0001
Household Income Tertile
High (Reference)
 Middle −0.3571 0.3695 0.3343
 Middle X time 0.6131 0.3522 0.0822
 Low 0.1416 0.3864 0.7140
 low X time −0.1378 0.3663 0.7069
Place of Residence
Urban (Reference)
 Semi-urban −0.3955 0.3546 0.2651
 Semi-urban X time 0.9695 0.3396 0.0040
 Rural −0.6366 0.3717 0.0873
 Rural X Time 1.1587 0.3546 0.0011
 Quadratic time effect (Time2) 1.9663 0.1565 <.0001
Random effects
Variance 14.6274 1.5378
CS −5.1433 0.8679
Variance of measurement errors (residuals) 11.4764 0.4959

Restricted maximum likelihood (REML) method was used in estimating the parameters.

Compound symmetry (CS) variance matrix structure was used to avoid over parameterization of the estimates.

SE= Standard error.

Time = follow up rounds.

Belachew et al.

Belachew et al. Nutrition Journal 2013 12:55   doi:10.1186/1475-2891-12-55

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