Bayesian geostatistical modelling of stunting in Rwanda: risk factors and spatially explicit residual stunting burden.

Background: Stunting remains a significant public health issue in Rwanda and its prevalence exhibits considerable geographical variation. We apply Bayesian geostatistical modelling to study the spatial pattern of stunting in children less than five years considering anthropometric, socioeconomic and demographic risk factors in Rwanda. In addition, we predict the spatial residuals effects to quantify the burden of stunting not accounted for by our geostatistical model.

Stunting spatial pattern in Rwanda: An examination of the demographic, socio-economic and environmental determinants.

Stunting is recognised as a major public health problem in Rwanda. We therefore aimed to study the demographic, socio-economic and environmental factors determining the spatial pattern of stunting. A cross-sectional study using the data from the 2014- 2015 Rwanda Demographic and Health Survey and environmental data from external geospatial datasets were conducted.

Predictors of stunting with particular focus on complementary feeding practices: A cross-sectional study in the northern province of Rwanda.

Objectives: The aim of this study was to review the factors associated with stunting in the northern province of Rwanda by assessing anthropometric status, dietary intake, and overall complementary feeding practices.

Methods: This was a cross-sectional study with 138 children 5 to 30 mo of age. A structured questionnaire was used to collect information on sociodemographic characteristics of each mother and child and breastfeeding and complementary feeding practices.

Data on child complementary feeding practices, nutrient intake and stunting in Musanze District, Rwanda.

Stunting prevalence in Rwanda is still a major public health issue, and data on stunting is needed to plan relevant interventions. This data, collected in 2015, presents complementary feeding practices, nutrient intake and its association with stunting in infants and young children in Musanze District in Rwanda. A household questionnaire and a 24-h recall questionnaire were used to collect the data.