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Updated: Jul 8, 2025

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Child stunting prevalence determination at sector level in Rwanda using small area estimation
Innocent Ngaruye1, Joseph Nzabanita2, François Niragire3
1Department of Mathematics, College of Science and Technology, University of Rwanda, Kigali, Rwanda. ingaruye@gmail.com.
Child stunting remains a global concern. In Rwanda, Small Area Estimation (SAE) revealed significant variations in stunting prevalence across sectors, highlighting the need for targeted interventions.
Area of Science:
- Pediatrics and Child Health
- Public Health and Epidemiology
- Biostatistics
Background:
- Child stunting affects 148.1 million globally (22.3% in 2022).
- Rwanda's 2019/2020 Demographic Health Survey reported 33.5% stunting in children under five.
- Sector-level stunting data is insufficient for targeted interventions in Rwanda.
Purpose of the Study:
- To provide reliable, sector-level estimates of stunting prevalence in Rwandan children under five.
- To identify areas with high stunting rates for prioritized interventions.
Main Methods:
- Utilized Small Area Estimation (SAE) techniques.
- Employed a generalized linear mixed model with significant covariates.
- Generated model-based estimates with Mean Square Error (MSE) for all sectors.
Main Results:
- Only 40 out of 416 sectors met the national stunting target (<19%).
- 194 sectors exceeded the national prevalence (33.5%), predominantly in Northern and Western Provinces.
- Stunting prevalence was lowest in the City of Kigali.
- Factors like household size, residence, head's gender, and access to sanitation/clean water were linked to stunting.
Conclusions:
- Study findings can inform policy decisions for localized interventions in high-stunting sectors.
- Results support targeted strategies to address child stunting in Rwanda.
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