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Reducing malnutrition in Cambodia. A modeling exercise to prioritize multisectoral interventions

Undernutrition is a major contributor to child morbidity and mortality and poses a large burden to the economy, in Cambodia. This study explored factors contributing to child stunting and wasting and their regional inequalities among 1,938 Cambodian children aged 6–23.9 months. Data were drawn from...

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Autores principales: Laillou, Arnaud, Gauthier, Ludovic, Wieringa, Frank, Berger, Jacques, Chea, Samnang, Poirot, Etienne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7591311/
https://www.ncbi.nlm.nih.gov/pubmed/32835454
http://dx.doi.org/10.1111/mcn.12770
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author Laillou, Arnaud
Gauthier, Ludovic
Wieringa, Frank
Berger, Jacques
Chea, Samnang
Poirot, Etienne
author_facet Laillou, Arnaud
Gauthier, Ludovic
Wieringa, Frank
Berger, Jacques
Chea, Samnang
Poirot, Etienne
author_sort Laillou, Arnaud
collection PubMed
description Undernutrition is a major contributor to child morbidity and mortality and poses a large burden to the economy, in Cambodia. This study explored factors contributing to child stunting and wasting and their regional inequalities among 1,938 Cambodian children aged 6–23.9 months. Data were drawn from a longitudinal study (year 2017) conducted in six districts of two north‐eastern provinces and the capital and used as cross‐sectional. Socio‐demographic and household characteristics, children's feeding practices during the previous 24 hr, and children's length and weight measurements were collected. Gradient boosting models were used to calculate the contribution of determinants to child undernutrition whereas concentration index was used to assess the impact of those determinants on stunting and wasting inequalities among socioeconomic groups. It was found that low‐household wealth could predict 21% to 45% of child stunting and 23% to 36% of wasting across regions. After wealth, source and treatment of drinking water were found the second major predictor for stunting (15%) and wasting (21%). Combining child nutrition and household water, sanitation and hygiene indicators predicted around 30% of child undernutrition, either in the form of stunting or wasting. Mothers' education predicted >30% of stunting in the north‐eastern region. Results highlight that a complex interplay of factors contributes to child stunting and wasting. An integrated, intersectoral, equity‐focused approach that addresses children's dietary quality, household's water, sanitation and hygiene conditions, mother's education, and poverty is likely to yield the highest impact in achieving further gains in nutritional status among Cambodian children.
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spelling pubmed-75913112020-10-30 Reducing malnutrition in Cambodia. A modeling exercise to prioritize multisectoral interventions Laillou, Arnaud Gauthier, Ludovic Wieringa, Frank Berger, Jacques Chea, Samnang Poirot, Etienne Matern Child Nutr Supplement Article Undernutrition is a major contributor to child morbidity and mortality and poses a large burden to the economy, in Cambodia. This study explored factors contributing to child stunting and wasting and their regional inequalities among 1,938 Cambodian children aged 6–23.9 months. Data were drawn from a longitudinal study (year 2017) conducted in six districts of two north‐eastern provinces and the capital and used as cross‐sectional. Socio‐demographic and household characteristics, children's feeding practices during the previous 24 hr, and children's length and weight measurements were collected. Gradient boosting models were used to calculate the contribution of determinants to child undernutrition whereas concentration index was used to assess the impact of those determinants on stunting and wasting inequalities among socioeconomic groups. It was found that low‐household wealth could predict 21% to 45% of child stunting and 23% to 36% of wasting across regions. After wealth, source and treatment of drinking water were found the second major predictor for stunting (15%) and wasting (21%). Combining child nutrition and household water, sanitation and hygiene indicators predicted around 30% of child undernutrition, either in the form of stunting or wasting. Mothers' education predicted >30% of stunting in the north‐eastern region. Results highlight that a complex interplay of factors contributes to child stunting and wasting. An integrated, intersectoral, equity‐focused approach that addresses children's dietary quality, household's water, sanitation and hygiene conditions, mother's education, and poverty is likely to yield the highest impact in achieving further gains in nutritional status among Cambodian children. John Wiley and Sons Inc. 2020-08-24 /pmc/articles/PMC7591311/ /pubmed/32835454 http://dx.doi.org/10.1111/mcn.12770 Text en © 2020 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 Supplement Article
Laillou, Arnaud
Gauthier, Ludovic
Wieringa, Frank
Berger, Jacques
Chea, Samnang
Poirot, Etienne
Reducing malnutrition in Cambodia. A modeling exercise to prioritize multisectoral interventions
title Reducing malnutrition in Cambodia. A modeling exercise to prioritize multisectoral interventions
title_full Reducing malnutrition in Cambodia. A modeling exercise to prioritize multisectoral interventions
title_fullStr Reducing malnutrition in Cambodia. A modeling exercise to prioritize multisectoral interventions
title_full_unstemmed Reducing malnutrition in Cambodia. A modeling exercise to prioritize multisectoral interventions
title_short Reducing malnutrition in Cambodia. A modeling exercise to prioritize multisectoral interventions
title_sort reducing malnutrition in cambodia. a modeling exercise to prioritize multisectoral interventions
topic Supplement Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7591311/
https://www.ncbi.nlm.nih.gov/pubmed/32835454
http://dx.doi.org/10.1111/mcn.12770
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