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Prevalence and correlates of the composite index of anthropometric failure among children under 5 years old in Bangladesh

The prevalence of stunting, wasting, and underweight are reported separately. However, the data of the multiple anthropometric failures combinations of these conventional indicators are scant. This study attempted to estimate the overall burden of undernutrition among children under 5 years old, usi...

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Autores principales: Islam, Md. Saimul, Biswas, Tuhin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083426/
https://www.ncbi.nlm.nih.gov/pubmed/31867876
http://dx.doi.org/10.1111/mcn.12930
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author Islam, Md. Saimul
Biswas, Tuhin
author_facet Islam, Md. Saimul
Biswas, Tuhin
author_sort Islam, Md. Saimul
collection PubMed
description The prevalence of stunting, wasting, and underweight are reported separately. However, the data of the multiple anthropometric failures combinations of these conventional indicators are scant. This study attempted to estimate the overall burden of undernutrition among children under 5 years old, using the composite index of anthropometric failure (CIAF), and to explore the correlates. The study used secondary data from the Bangladesh demographic and health surveys (BDHS), undertaken in 2014. CIAF provides an overall prevalence of undernutrition, which gives six mutually exclusive anthropometric measurements of height‐for‐ age, height‐for‐weight, and weight‐for‐age. Multivariable logistic regression was used to explore the correlates of CIAF. The overall prevalence of undernutrition using the CIAF was 48.3% (95% CI [47.1%, 49.5%]) among the children under 5 years old. The prevalence of anthropometric failure due to a combination of both stunting and underweight was 18.2%, wasting and underweight was 5.5%, and wasting, underweight, and stunting was 5.7%. The odds of CIAF were higher among young maternal age, having the poorest socio‐economic status, living in rural areas, higher order of birth, and received no vaccination compared with other counterparts. In Bangladesh, one out of two children has undernutrition, which is preventing the potential of the millions of children. Mothers who gave birth before age 20 living in the rural areas with belonging to lower socio‐economic status and whose children had a higher order of birth and receive no vaccination were observed as the main determinants of undernutrition. Nutrition sensitive interventions along with social protection programmes are crucial to deal the underlying causes of undernutrition.
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spelling pubmed-70834262020-05-21 Prevalence and correlates of the composite index of anthropometric failure among children under 5 years old in Bangladesh Islam, Md. Saimul Biswas, Tuhin Matern Child Nutr Original Articles The prevalence of stunting, wasting, and underweight are reported separately. However, the data of the multiple anthropometric failures combinations of these conventional indicators are scant. This study attempted to estimate the overall burden of undernutrition among children under 5 years old, using the composite index of anthropometric failure (CIAF), and to explore the correlates. The study used secondary data from the Bangladesh demographic and health surveys (BDHS), undertaken in 2014. CIAF provides an overall prevalence of undernutrition, which gives six mutually exclusive anthropometric measurements of height‐for‐ age, height‐for‐weight, and weight‐for‐age. Multivariable logistic regression was used to explore the correlates of CIAF. The overall prevalence of undernutrition using the CIAF was 48.3% (95% CI [47.1%, 49.5%]) among the children under 5 years old. The prevalence of anthropometric failure due to a combination of both stunting and underweight was 18.2%, wasting and underweight was 5.5%, and wasting, underweight, and stunting was 5.7%. The odds of CIAF were higher among young maternal age, having the poorest socio‐economic status, living in rural areas, higher order of birth, and received no vaccination compared with other counterparts. In Bangladesh, one out of two children has undernutrition, which is preventing the potential of the millions of children. Mothers who gave birth before age 20 living in the rural areas with belonging to lower socio‐economic status and whose children had a higher order of birth and receive no vaccination were observed as the main determinants of undernutrition. Nutrition sensitive interventions along with social protection programmes are crucial to deal the underlying causes of undernutrition. John Wiley and Sons Inc. 2019-12-22 /pmc/articles/PMC7083426/ /pubmed/31867876 http://dx.doi.org/10.1111/mcn.12930 Text en © 2019 The Authors. Maternal & Child Nutrition published by John Wiley & Sons, Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Islam, Md. Saimul
Biswas, Tuhin
Prevalence and correlates of the composite index of anthropometric failure among children under 5 years old in Bangladesh
title Prevalence and correlates of the composite index of anthropometric failure among children under 5 years old in Bangladesh
title_full Prevalence and correlates of the composite index of anthropometric failure among children under 5 years old in Bangladesh
title_fullStr Prevalence and correlates of the composite index of anthropometric failure among children under 5 years old in Bangladesh
title_full_unstemmed Prevalence and correlates of the composite index of anthropometric failure among children under 5 years old in Bangladesh
title_short Prevalence and correlates of the composite index of anthropometric failure among children under 5 years old in Bangladesh
title_sort prevalence and correlates of the composite index of anthropometric failure among children under 5 years old in bangladesh
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083426/
https://www.ncbi.nlm.nih.gov/pubmed/31867876
http://dx.doi.org/10.1111/mcn.12930
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