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Factors affecting child malnutrition in Ethiopia

BACKGROUND: One of the public health problems in developing countries is child malnutrition. An important factor for children's well-being is good nutrition. Therefore, the malnutrition status of children under the age of five is an important outcome measure for children's health. This stu...

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Autores principales: Yirga, Ashenafi Argaw, Mwambi, Henry G, Ayele, Dawit Getnet, Melesse, Sileshi Fanta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Makerere Medical School 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6794502/
https://www.ncbi.nlm.nih.gov/pubmed/31656473
http://dx.doi.org/10.4314/ahs.v19i2.13
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author Yirga, Ashenafi Argaw
Mwambi, Henry G
Ayele, Dawit Getnet
Melesse, Sileshi Fanta
author_facet Yirga, Ashenafi Argaw
Mwambi, Henry G
Ayele, Dawit Getnet
Melesse, Sileshi Fanta
author_sort Yirga, Ashenafi Argaw
collection PubMed
description BACKGROUND: One of the public health problems in developing countries is child malnutrition. An important factor for children's well-being is good nutrition. Therefore, the malnutrition status of children under the age of five is an important outcome measure for children's health. This study uses the proportional odds model to identify risk factors associated with child malnutrition in Ethiopia using the 2016 Ethiopian Demographic and Health Survey data. METHODS: This study uses the 2016 Ethiopian Demographic and Health Survey results. Based on weight-for-height anthropometric index (Z-score) child nutrition status is categorized into four levels namely- underweight, normal, overweight and obese. Since this leads to an ordinal variable for nutrition status, an ordinal logistic regression (OLR)proportional odds model (POM) is an obvious choice for analysis. RESULTS: The findings and comparison of results using the cumulative logit model with and without complex survey design are presented. The study results revealed that to produce the appropriate estimates and standard errors for data that were obtained from complex survey design, model fitting based on taking the survey sampling design into account is better. It has also been found that for children under the age of five, weight of a child at birth, mother's age, mother's Body Mass Index (BMI), marital status of mother and region (Affar, Dire Dawa, Gambela, Harari and Somali) were influential variables significantly associated with underfive children's nutritional status in Ethiopia. CONCLUSION: This child's age of a child, sex, weight of child at birth, mother's BMI and region of residence were significant determinants of malnutrition of children under five years in Ethiopia. The effect of these determinants can be used to develop strategies for reducing child malnutrition in Ethiopia. Moreover, these findings show that OLR proportional odds model is appropriate assessing thedeterminants of malnutrition for ordinal nutritional status of underfive children in Ethiopia.
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spelling pubmed-67945022019-10-25 Factors affecting child malnutrition in Ethiopia Yirga, Ashenafi Argaw Mwambi, Henry G Ayele, Dawit Getnet Melesse, Sileshi Fanta Afr Health Sci Articles BACKGROUND: One of the public health problems in developing countries is child malnutrition. An important factor for children's well-being is good nutrition. Therefore, the malnutrition status of children under the age of five is an important outcome measure for children's health. This study uses the proportional odds model to identify risk factors associated with child malnutrition in Ethiopia using the 2016 Ethiopian Demographic and Health Survey data. METHODS: This study uses the 2016 Ethiopian Demographic and Health Survey results. Based on weight-for-height anthropometric index (Z-score) child nutrition status is categorized into four levels namely- underweight, normal, overweight and obese. Since this leads to an ordinal variable for nutrition status, an ordinal logistic regression (OLR)proportional odds model (POM) is an obvious choice for analysis. RESULTS: The findings and comparison of results using the cumulative logit model with and without complex survey design are presented. The study results revealed that to produce the appropriate estimates and standard errors for data that were obtained from complex survey design, model fitting based on taking the survey sampling design into account is better. It has also been found that for children under the age of five, weight of a child at birth, mother's age, mother's Body Mass Index (BMI), marital status of mother and region (Affar, Dire Dawa, Gambela, Harari and Somali) were influential variables significantly associated with underfive children's nutritional status in Ethiopia. CONCLUSION: This child's age of a child, sex, weight of child at birth, mother's BMI and region of residence were significant determinants of malnutrition of children under five years in Ethiopia. The effect of these determinants can be used to develop strategies for reducing child malnutrition in Ethiopia. Moreover, these findings show that OLR proportional odds model is appropriate assessing thedeterminants of malnutrition for ordinal nutritional status of underfive children in Ethiopia. Makerere Medical School 2019-06 /pmc/articles/PMC6794502/ /pubmed/31656473 http://dx.doi.org/10.4314/ahs.v19i2.13 Text en © 2019 Yirga et al. Licensee African Health Sciences. This is an Open Access article distributed under the terms of the Creative commons Attribution License (https://creativecommons.org/licenses/BY/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Yirga, Ashenafi Argaw
Mwambi, Henry G
Ayele, Dawit Getnet
Melesse, Sileshi Fanta
Factors affecting child malnutrition in Ethiopia
title Factors affecting child malnutrition in Ethiopia
title_full Factors affecting child malnutrition in Ethiopia
title_fullStr Factors affecting child malnutrition in Ethiopia
title_full_unstemmed Factors affecting child malnutrition in Ethiopia
title_short Factors affecting child malnutrition in Ethiopia
title_sort factors affecting child malnutrition in ethiopia
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6794502/
https://www.ncbi.nlm.nih.gov/pubmed/31656473
http://dx.doi.org/10.4314/ahs.v19i2.13
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