Table 4. Effects of supplementary foods on MDAT z-scores after intervention (24 weeks, n = 1,503).

Domain	Matrix		Soy quality		Milk protein
	LNS vs. CSB	p	Isolate vs. dehulled	p	20% vs. 0%	p	50% vs. 0%	p
Gross motor	−0.004 (−0.09; 0.08)	0.92	0.01 (−0.07; 0.09)	0.84	−0.04 (−0.14; 0.06)	0.40	−0.05 (−0.15; 0.05)	0.33
Fine motor	0.01 (−0.07; 0.10)	0.75	0.03 (−0.06; 0.11)	0.58	0.01 (−0.10; 0.12)	0.81	−0.04 (−0.15; 0.07)	0.51
Language	−0.08 (−0.21; 0.04)	0.20	0.08 (−0.04; 0.21)	0.18	−0.05 (−0.20; 0.11)	0.55	−0.02 (−0.17; 0.13)	0.79

Data are mean difference (95% CI) based on ITT population. Linear mixed models are adjusted for baseline measure of the outcome, WHZ, MUAC, HAZ, age, sex, and month of inclusion. The models include interaction between supplement and time and both site- and participant-specific random effects. There were no interactions between the 3 factors (all p > 0.28).

CI, confidence interval; CSB, corn–soy blend; HAZ, height-for-age z-score; ITT, intention to treat; LNS, lipid-based nutrient supplements; MDAT, Malawi Development Assessment Tool; MUAC, mid-upper arm circumference; WHZ, weight-for-height z-score.