ArticleFrontiers in nutrition2024
Spatial variation of zero fruits/vegetables consumption and associated factors among children aged 6-23 months in Ethiopia: geographical weighted regression analysis.
Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Application of machine learning algorithm for predicting acute malnutrition among under 5 children in east Africa using recent DHS.Scientific reports · 2026Article
- Article
- Dietary Practices Among Young Children in Nepal's Karnali Mountains: A Community-Based Study on Meal Frequency, Diversity, and Fruit or Vegetable Intake.BMC public health · 2025Article
- Optimal complementary feeding practice and associated factors among children in Konso Zone, South Ethiopia.Frontiers in nutrition · 2025Article
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Abstract
Background: After 6 months, nutrient-dense, varied diets containing fruits and vegetables are crucial to supplement breastfeeding. Like many other low-income countries, Ethiopia has very low FV consumption. Zero vegetable or fruit (ZVF) consumption has been shown to significantly raise the risk of non-communicable diseases and has been ranked among the top 10 risk factors for mortality. And it is associated with poor health, an increased risk of obesity, and a higher risk of non-communicable diseases. Thus, this study's goal was to investigate the spatial distribution of ZVF consumption and its spatial determinants among children aged 6-23 months in Ethiopia. Methods: A cross-sectional study design was employed. A total of 1,489 weighted samples were included from kids' datasets from the 2019 Ethiopian mini-demographic and health survey. STATA version 16, ArcGIS version 10.8, Kuldorff's SaTScan version 9.6, and MGWR version 2.0 software were used for analysis. Spatial regression analyses (geographical weighted regression and ordinary least squares analysis) were conducted. Models were compared using AICc and adjusted Results: The spatial distribution of ZVF consumption among children aged 6-23 months was non-random in Ethiopia. Spatial scan analysis revealed a total of 120 significant clusters. Maternal education, wealth status, age of the child, place of delivery, number of under-five children in the house, and current pregnancy status were significant predictors of the spatial variation of ZVF consumption. Conclusion: Significant geographic variation in ZVF consumption was found in this study throughout Ethiopia's regions. Significant predictors of the spatial variation in ZVF consumption were maternal education, wealth status, child age, place of delivery, number of under-five children in the home, and status as a pregnant woman at the time of birth. Therefore, in order to improve children's adequate consumption of fruit and vegetables, area-based interventions that can consider these significant factors into account are needed.
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