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TABLE 2

Effect of the Intervention on Child Growth in a Randomized Controlled Trial of Eggs in Ecuador

BaselineEnd PointEffect Size or PREffect Size or PR
Control (n = 82)Egg (n = 78)Control (n = 73)Egg (n = 75)UnadjustedAdjusteda
Mean (SD)Mean (SD)Mean (SD)Mean (SD)β (95% CI)Pβ (95% CI)P
LAZ (SD) −1.71 (0.92) −2.09 (1.08) −1.71 (1.00) −1.39 (1.35) .64 (0.40–0.89) <.001 .63 (0.38–0.88) <.001 
WAZ (SD) −0.40 (0.92) −0.91 (1.24) −0.55 (0.85) −0.34 (1.06) .71 (0.53–0.90) <.001 .61 (0.45–0.77) <.001 
WLZ (SD) 0.86 (0.99) 0.55 (0.99) 0.36 (0.81) 0.45 (0.84) .42 (0.20–0.65) <.001 .33 (0.14–0.51) <.001 
BMIz (SD) 0.80 (1.00) 0.42 (1.10) 0.64 (0.82) 0.68 (0.86) .45 (0.20–0.70) <.001 .29 (0.08–0.49) .006 
 PR (95% CI)b P PR (95% CI)b P 
Stunted 26 (32) 37 (47) 29 (40) 21 (28) 0.70 (0.44–1.12) .14 0.53 (0.37–0.77) .001 
Underweight 4 (5) 10 (13) 5 (7) 4 (5) 0.78 (0.22–2.80) .70 0.26 (0.10–0.70) .008 
BaselineEnd PointEffect Size or PREffect Size or PR
Control (n = 82)Egg (n = 78)Control (n = 73)Egg (n = 75)UnadjustedAdjusteda
Mean (SD)Mean (SD)Mean (SD)Mean (SD)β (95% CI)Pβ (95% CI)P
LAZ (SD) −1.71 (0.92) −2.09 (1.08) −1.71 (1.00) −1.39 (1.35) .64 (0.40–0.89) <.001 .63 (0.38–0.88) <.001 
WAZ (SD) −0.40 (0.92) −0.91 (1.24) −0.55 (0.85) −0.34 (1.06) .71 (0.53–0.90) <.001 .61 (0.45–0.77) <.001 
WLZ (SD) 0.86 (0.99) 0.55 (0.99) 0.36 (0.81) 0.45 (0.84) .42 (0.20–0.65) <.001 .33 (0.14–0.51) <.001 
BMIz (SD) 0.80 (1.00) 0.42 (1.10) 0.64 (0.82) 0.68 (0.86) .45 (0.20–0.70) <.001 .29 (0.08–0.49) .006 
 PR (95% CI)b P PR (95% CI)b P 
Stunted 26 (32) 37 (47) 29 (40) 21 (28) 0.70 (0.44–1.12) .14 0.53 (0.37–0.77) .001 
Underweight 4 (5) 10 (13) 5 (7) 4 (5) 0.78 (0.22–2.80) .70 0.26 (0.10–0.70) .008 

Table shows results for end-point mean (SD) anthropometric measures and prevalence (no. [%], of undernutrition), as well as GLM modeling for unadjusted and adjusted effect size and PR for anthropometric outcomes, by group.

a

Adjusted for child age, sex of the child, and baseline anthropometry for the same dependent variable.

b

PR was estimated using GLM with robust Poisson.

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