Statistical analysis
REGRESSION
Data analyses were conducted using Stata 17.1 (Statacorp, Texas, USA) and a two-sided statistical significance was considered at alpha <0.05. Descriptive statistics are presented as means ± SD for the continuous variables and as frequencies (%) for the categorical variables. Study outcomes were checked for normality of distribution using visual inspection of histograms and Q-Q plots of the outcome values and their residual terms.Unadjusted and adjusted group differences in body composition indices were estimated by fitting linear regression models. All models included health center and randomization block as covariates to account for the study design [Besides evaluating any effect modification of BEP by maternal BMI and MUAC at study enrollment, we explored the presence of effect modification by other covariates. For this purpose, we tested an interaction effect of the intervention and each factor on FFMI and FMI. Effect modification by a subgroup factor was considered in the presence of a statistically significant interaction (