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Determining the magnitude and risk factors of undernutrition in a country that has one of the highest prevalence of undernutrition in the world is paramount for developing contextual interventions.

This study used baseline data from the ASSP project to estimate prevalence of stunting, wasting, and underweight in four provinces of DRC. It involved 3911 children aged 0–59 months old and mother pairs. Height-for-age Z scores, Weight-for-height Z scores, and Weight-for-age Z scores were calculated and used to classify child stunting, wasting and underweight respectively, based on the 2006 World Health Organization (WHO) growth reference. Hierarchical logistic regressions were used to identify risk factors associated with stunting, wasting and underweight. All analyses were conducted using STATA 15.1, and statistical significance was set at p < 0.05.

The prevalence of stunting …