ArticleFrontiers in public health2024
Suboptimal nutritional status of school-age children in Addis Ababa: evidence from the analysis of socioeconomic, environmental, and behavioral factors.
Article in Frontiers in public health, 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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Who cites it
4 citing papers in PubMed.
- Prevalence of Malnutrition and Associated Factors Among School Children in Hawella Tula Rural District, Hawassa, Sidama Regional State, Ethiopia: A Cross-Sectional Study.Health science reports · 2026Article
- Dairy consumption, motivations, and nutritional status among schoolchildren in northwestern Morocco: socioeconomic factors and place of residence.Frontiers in nutrition · 2026Article
- Access to Water, Sanitation, and Hygiene (WASH) practices and their associations with waterborne diseases and malnutrition in Ibrahim Kodbuur District, Hargeisa, Somaliland: a cross-sectional study.BMC public health · 2025Article
- Exploring the barriers and facilitators of nutrition and dietary intake among school-aged children in the urban low-income setting of Addis Ababa.Nutrition research and practice · 2025Article
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Authors and funding
3 authors.
Funding
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Abstract
Background: School-aged children (6-14 years old) are susceptible to malnutrition and micronutrient deficiencies. Environmental and behavioral factors greatly influence their nutritional status. This study aimed to examine the association between dietary factors and the nutritional status of school-aged children attending public and private schools in Addis Ababa. Methods: A community-based cross-sectional study design was employed from March to August 2023. A total of 309 study participants were randomly selected from 10 schools. Data were entered into Epidata version 3.1 and exported to SPSS version 23.0 for analysis. WHO Anthro Plus 1.0.4 was used to assess the measurements of weight-for-age (WAZ), height-for-age (HAZ), and BMI-for-age (BAZ) for overweight, stunting, and underweight, while wasting was assessed using MUAC. A Poisson regression model was used to determine the association between predictor variables and stunting, wasting, underweight, and overweight, with adjusted prevalence ratios (APR). APR and 95% CI were used to identify statistically significant variables. Results: Findings revealed the prevalence of wasting (15%), stunting (24%), underweight (36%), and overweight (19%) among school-aged children. Factors influencing stunting include marital status, house ownership, education level of parents/caregivers, child sex, and meal skipping. Wasting was linked to wealth index, child age, dietary diversity, dietary habits, water access, and toilet facilities. Underweight predictors include parent/caregiver age, marital status, and meal frequency. Moreover, school type appeared as a significant factor for overweight. Conclusions: The overall nutritional status of school-aged children is suboptimal, influenced by sociodemographic, environmental, and behavioral factors. Addressing these factors through targeted interventions is crucial, particularly for the most vulnerable groups.
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