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Childhood undernutrition in three disadvantaged East African Districts: a multinomial analysis
BACKGROUND: Undernutrition is an important public health indicator for monitoring nutritional status and survival. In spite of its importance, undernutrition is a significant problem health problem in many East African communities. The aim of this study was to identify factors associated with childh...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6477742/ https://www.ncbi.nlm.nih.gov/pubmed/31014298 http://dx.doi.org/10.1186/s12887-019-1482-y |
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author | Agho, Kingsley E. Akombi, Blessing J. Ferdous, Akhi J. Mbugua, Irene Kamara, Joseph K. |
author_facet | Agho, Kingsley E. Akombi, Blessing J. Ferdous, Akhi J. Mbugua, Irene Kamara, Joseph K. |
author_sort | Agho, Kingsley E. |
collection | PubMed |
description | BACKGROUND: Undernutrition is an important public health indicator for monitoring nutritional status and survival. In spite of its importance, undernutrition is a significant problem health problem in many East African communities. The aim of this study was to identify factors associated with childhood undernutrition in three disadvantaged East African Districts. METHODS: We examined data for 9270 children aged 0–59 months using cross-sectional survey from Gicumbi District in Rwanda, Kitgum District in Uganda and Kilindi District in Tanzania. We considered the level of undernutrition (stunting, wasting and underweight) as the outcome variables with four ordinal categories (severely undernourished, moderately undernourished, mildly undernourished, and nourished). Generalized linear latent and mixed models (GLLAMM) with the mlogit link and binomial family that adjusted for clustering and sampling weights were used to identify factors associated with undernutrition among children aged 0–59 months in three disadvantaged East African Districts. RESULTS: After adjusting for potential confounding factors, the odds of a child being stunted were higher in Gicumbi District in Rwanda while the odds of a child being wasted and underweight were higher in Kitgum District in Uganda. Having diarrhoea two weeks prior to the survey was significantly associated with severe undernutrition. Wealth index (least poor household), increasing child’s age, sex of the child (male) and unavailability of water all year were reported to be associated with moderate or severe stunting/wasting. Children of women who did not attend monthly child growth monitoring sessions and children who had Acute Respiratory Infection (ARI) symptoms were significantly associated with moderate or severe underweight. CONCLUSIONS: Findings from our study indicated that having diarrhoea, having ARI, not having water availability all year and not attending monthly child growth monitoring sessions were associated with undernutrition among children aged 0–59 months. Interventions aimed at improving undernutrition in these disadvantaged communities should target all children especially those children from households with poor sanitation practices. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12887-019-1482-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6477742 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64777422019-05-01 Childhood undernutrition in three disadvantaged East African Districts: a multinomial analysis Agho, Kingsley E. Akombi, Blessing J. Ferdous, Akhi J. Mbugua, Irene Kamara, Joseph K. BMC Pediatr Research Article BACKGROUND: Undernutrition is an important public health indicator for monitoring nutritional status and survival. In spite of its importance, undernutrition is a significant problem health problem in many East African communities. The aim of this study was to identify factors associated with childhood undernutrition in three disadvantaged East African Districts. METHODS: We examined data for 9270 children aged 0–59 months using cross-sectional survey from Gicumbi District in Rwanda, Kitgum District in Uganda and Kilindi District in Tanzania. We considered the level of undernutrition (stunting, wasting and underweight) as the outcome variables with four ordinal categories (severely undernourished, moderately undernourished, mildly undernourished, and nourished). Generalized linear latent and mixed models (GLLAMM) with the mlogit link and binomial family that adjusted for clustering and sampling weights were used to identify factors associated with undernutrition among children aged 0–59 months in three disadvantaged East African Districts. RESULTS: After adjusting for potential confounding factors, the odds of a child being stunted were higher in Gicumbi District in Rwanda while the odds of a child being wasted and underweight were higher in Kitgum District in Uganda. Having diarrhoea two weeks prior to the survey was significantly associated with severe undernutrition. Wealth index (least poor household), increasing child’s age, sex of the child (male) and unavailability of water all year were reported to be associated with moderate or severe stunting/wasting. Children of women who did not attend monthly child growth monitoring sessions and children who had Acute Respiratory Infection (ARI) symptoms were significantly associated with moderate or severe underweight. CONCLUSIONS: Findings from our study indicated that having diarrhoea, having ARI, not having water availability all year and not attending monthly child growth monitoring sessions were associated with undernutrition among children aged 0–59 months. Interventions aimed at improving undernutrition in these disadvantaged communities should target all children especially those children from households with poor sanitation practices. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12887-019-1482-y) contains supplementary material, which is available to authorized users. BioMed Central 2019-04-23 /pmc/articles/PMC6477742/ /pubmed/31014298 http://dx.doi.org/10.1186/s12887-019-1482-y Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Agho, Kingsley E. Akombi, Blessing J. Ferdous, Akhi J. Mbugua, Irene Kamara, Joseph K. Childhood undernutrition in three disadvantaged East African Districts: a multinomial analysis |
title | Childhood undernutrition in three disadvantaged East African Districts: a multinomial analysis |
title_full | Childhood undernutrition in three disadvantaged East African Districts: a multinomial analysis |
title_fullStr | Childhood undernutrition in three disadvantaged East African Districts: a multinomial analysis |
title_full_unstemmed | Childhood undernutrition in three disadvantaged East African Districts: a multinomial analysis |
title_short | Childhood undernutrition in three disadvantaged East African Districts: a multinomial analysis |
title_sort | childhood undernutrition in three disadvantaged east african districts: a multinomial analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6477742/ https://www.ncbi.nlm.nih.gov/pubmed/31014298 http://dx.doi.org/10.1186/s12887-019-1482-y |
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