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Determinants of nutritional status among primary school students in Dilla Town; Application of an ordinal logistic regression model
BACKGROUND: One of the most frequent reasons for children’s poor physical and mental development is malnutrition, becoming a more significant issue in most developing nations, including Ethiopia. Prior research used multiple anthropometric measurements separately to pinpoint undernutrition concerns...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988510/ https://www.ncbi.nlm.nih.gov/pubmed/36895335 http://dx.doi.org/10.1016/j.heliyon.2023.e13928 |
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author | Berhanu, Getasew Dessalegn, Behailu Ali, Helen Animut, Kassahun |
author_facet | Berhanu, Getasew Dessalegn, Behailu Ali, Helen Animut, Kassahun |
author_sort | Berhanu, Getasew |
collection | PubMed |
description | BACKGROUND: One of the most frequent reasons for children’s poor physical and mental development is malnutrition, becoming a more significant issue in most developing nations, including Ethiopia. Prior research used multiple anthropometric measurements separately to pinpoint undernutrition concerns in children. However, the impact of each explanatory variable on a single response category was not considered in these investigations. This study used a single composite index of anthropometric parameters to identify the factors affecting elementary school students' nutritional condition. METHODS: In Dilla, Ethiopia, 494 primary school students took part in a cross-sectional institutional survey during the 2021 academic year. Principal component analysis was used to create a single composite measure of nutritional status using z-scores for the anthropometric indices of height-for-age and body mass index-for-age. The relative effectiveness of a partial proportional odds model was compared with several other ordinal regression models to identify the important variables for children’s nutritional status. RESULTS: 27.94% of primary school students were undernourished (7.29% severely and 20.65% moderately). According to the fitted partial proportional odds model, the mother’s education level (secondary or higher) was positively correlated with the nutritional status of primary school students, given that in this case the students ate three or more times per day and had a high dietary diversity score (OR = 5.94; CI: 2.2–16.0). Nevertheless, there was a negative correlation between larger family size (OR = 0.56; CI: 0.32–0.97), unprotected groundwater (OR = 0.76; CI: 0.6–0.96), and severely food insecure households (OR = 0.3; CI: 0.14–0.68). CONCLUSION: In Dilla, Ethiopia, undernutrition among primary school students is a serious issue. It is essential to implement nutrition education and school feeding programs, improve drinking water sources, and boost the community’s economy to alleviate the problems. |
format | Online Article Text |
id | pubmed-9988510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-99885102023-03-08 Determinants of nutritional status among primary school students in Dilla Town; Application of an ordinal logistic regression model Berhanu, Getasew Dessalegn, Behailu Ali, Helen Animut, Kassahun Heliyon Research Article BACKGROUND: One of the most frequent reasons for children’s poor physical and mental development is malnutrition, becoming a more significant issue in most developing nations, including Ethiopia. Prior research used multiple anthropometric measurements separately to pinpoint undernutrition concerns in children. However, the impact of each explanatory variable on a single response category was not considered in these investigations. This study used a single composite index of anthropometric parameters to identify the factors affecting elementary school students' nutritional condition. METHODS: In Dilla, Ethiopia, 494 primary school students took part in a cross-sectional institutional survey during the 2021 academic year. Principal component analysis was used to create a single composite measure of nutritional status using z-scores for the anthropometric indices of height-for-age and body mass index-for-age. The relative effectiveness of a partial proportional odds model was compared with several other ordinal regression models to identify the important variables for children’s nutritional status. RESULTS: 27.94% of primary school students were undernourished (7.29% severely and 20.65% moderately). According to the fitted partial proportional odds model, the mother’s education level (secondary or higher) was positively correlated with the nutritional status of primary school students, given that in this case the students ate three or more times per day and had a high dietary diversity score (OR = 5.94; CI: 2.2–16.0). Nevertheless, there was a negative correlation between larger family size (OR = 0.56; CI: 0.32–0.97), unprotected groundwater (OR = 0.76; CI: 0.6–0.96), and severely food insecure households (OR = 0.3; CI: 0.14–0.68). CONCLUSION: In Dilla, Ethiopia, undernutrition among primary school students is a serious issue. It is essential to implement nutrition education and school feeding programs, improve drinking water sources, and boost the community’s economy to alleviate the problems. Elsevier 2023-02-21 /pmc/articles/PMC9988510/ /pubmed/36895335 http://dx.doi.org/10.1016/j.heliyon.2023.e13928 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Berhanu, Getasew Dessalegn, Behailu Ali, Helen Animut, Kassahun Determinants of nutritional status among primary school students in Dilla Town; Application of an ordinal logistic regression model |
title | Determinants of nutritional status among primary school students in Dilla Town; Application of an ordinal logistic regression model |
title_full | Determinants of nutritional status among primary school students in Dilla Town; Application of an ordinal logistic regression model |
title_fullStr | Determinants of nutritional status among primary school students in Dilla Town; Application of an ordinal logistic regression model |
title_full_unstemmed | Determinants of nutritional status among primary school students in Dilla Town; Application of an ordinal logistic regression model |
title_short | Determinants of nutritional status among primary school students in Dilla Town; Application of an ordinal logistic regression model |
title_sort | determinants of nutritional status among primary school students in dilla town; application of an ordinal logistic regression model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988510/ https://www.ncbi.nlm.nih.gov/pubmed/36895335 http://dx.doi.org/10.1016/j.heliyon.2023.e13928 |
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