Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Agho, Kingsley E., Akombi, Blessing J., Ferdous, Akhi J., Mbugua, Irene, Kamara, Joseph K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
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
_version_ 1783413071211921408
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
work_keys_str_mv AT aghokingsleye childhoodundernutritioninthreedisadvantagedeastafricandistrictsamultinomialanalysis
AT akombiblessingj childhoodundernutritioninthreedisadvantagedeastafricandistrictsamultinomialanalysis
AT ferdousakhij childhoodundernutritioninthreedisadvantagedeastafricandistrictsamultinomialanalysis
AT mbuguairene childhoodundernutritioninthreedisadvantagedeastafricandistrictsamultinomialanalysis
AT kamarajosephk childhoodundernutritioninthreedisadvantagedeastafricandistrictsamultinomialanalysis