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Nutritional Status and Its Association with Cognitive Function among School Aged Children at Soddo Town and Soddo
Tesfaye Honja Kabero1, Tafese Bosha2, Fentaw Wassie Feleke3
1South Nations Nationalities Peoples Regional Health Bureau Alive and Thrive Multi-sectorial Nutrition Project Coordinator, Hawassa, Ethiopia.
Insights
Cognitive function and school performance are lower in rural Ethiopian children, linked to stunting. Maternal education and wealth positively impact these outcomes.
Area of Science:
- Child Health
- Nutritional Science
- Cognitive Psychology
Background:
- Approximately 1 billion globally, stunted school-aged children experience impaired mental development, affecting cognitive performance and productivity.
- Limited evidence exists on cognitive function, school performance, and associated factors in school-aged children, particularly in resource-limited settings.
Purpose of the Study:
- To assess cognitive function and school performance in 7-10-year-old children in Soddo Town and Soddo Zuriya Woreda, Ethiopia.
- To determine the association between cognitive function, school performance, and nutritional status in this population.
Main Methods:
- An institutional comparative cross-sectional study involving 178 primary school children.
- Cognitive function assessed using Raven's Color Progressive Matrices (RCPM) and Kaufman Assessment Battery for Children (KABC-II).
- School performance evaluated via mid-year examination results; data analyzed using SPSS, WHO Anthro plus, and regression analyses.
Main Results:
- Urban children demonstrated significantly higher cognitive test scores (RCPM: 18.7±3.4 vs. 16.5±3.3) and school performance compared to rural children (P < .001).
- Maternal education and wealth index positively predicted cognitive function and school performance (P < .006).
- Stunting was a significant negative predictor of both cognitive function and school performance (P < .001).
Conclusions:
- Cognitive function and school performance are significantly associated with nutritional status in Ethiopian school children.
- Urban children outperformed their rural counterparts, highlighting disparities possibly linked to socioeconomic and nutritional factors.
- Interventions addressing stunting, maternal education, and socioeconomic status are crucial for improving cognitive and academic outcomes.
Abstract:
About 1 billion stunted school-aged children are growing up with impaired mental development which can lead to low cognitive performance, reduced school achievement, and low productivity. But there is scarce evidence on cognitive function, school performance and their associated factors among school aged children. The main aim of this study was to assess cognitive function, school performance and determine their association with nutritional status among school children aged 7 to 10 years at Soddo Town and Soddo Zuriya Woreda, Wolaita Zone, Southern Ethiopia. Institutional comparative cross-sectional study was conducted on a total sample of 178 primary school children. The Raven's Color Progressive Matrices (RCPM) and selected tests from Kaufman assessment battery for children second edition were used. Mid-year average students' examination result was also used. Data were analyzed by using SPSS version 25, WHO Anthro plus, and independent sample t-test. Bivariate and multivariate linear regression analyses were also used. Mean (±SD) cognitive test scores of urban study participants was 18.7 ± 3.4 for RCPM which was higher (P < .001) as compared to rural (16.5 ± 3.3). The urban mean cognitive test scores was also higher for both pattern reasoning and visual processing with (P < .001) as compared to rural counterparts. School performance was higher (P < .001) for urban. Maternal education (P < .002) and wealth index (P < .006) were positively predicted while stunting (P < .001) negatively predicted cognitive function test scores and school performance. Cognitive function and school performance of study participants were associated with their nutritional status and rural participants had significantly lower mean scores as compared to urban counterparts. Further study should be done to community level.
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