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Nutritional status of children under 5 years old in Namibia: adjusting for poor quality child anthropometry

The poor assessment of child malnutrition impacts both national-level trends and prioritisation of regions and vulnerable groups based on malnutrition burden. Namibia has reported a high prevalence of malnutrition among children younger than 5 years of age. The present study's aim was to identi...

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Autores principales: Fujimura, Maya S., Conkle, Joel, Van Wyk, Marjorie, Jimba, Masamine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9389280/
https://www.ncbi.nlm.nih.gov/pubmed/36004336
http://dx.doi.org/10.1017/jns.2022.67
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author Fujimura, Maya S.
Conkle, Joel
Van Wyk, Marjorie
Jimba, Masamine
author_facet Fujimura, Maya S.
Conkle, Joel
Van Wyk, Marjorie
Jimba, Masamine
author_sort Fujimura, Maya S.
collection PubMed
description The poor assessment of child malnutrition impacts both national-level trends and prioritisation of regions and vulnerable groups based on malnutrition burden. Namibia has reported a high prevalence of malnutrition among children younger than 5 years of age. The present study's aim was to identify the optimal methods for estimating child stunting and wasting prevalence in Namibia using two datasets with suspected poor data quality: Namibia Demographic and Health Surveys (NDHS) (1992–2013) and Namibia Household Income and Expenditure Survey (NHIES), 2015/16. This comparative secondary data analysis used two prevalence estimation methods: WHO flags and PROBIT. WHO flags is the standard analysis method for most national household surveys, while the PROBIT method is recommended for poor quality anthropometry. In NHIES (n 4960), the prevalence of stunting (n 4780) was 30·3 and 20·9 % for the WHO flags and PROBIT estimates, respectively, and the national wasting prevalence (n 4637) was 11·2 and 4·2 %, respectively. The trends in nutritional status from NDHS and NHIES showed improvement across WHO flags and PROBIT until 2013; however, from 2013 to 2016, PROBIT showed smaller increases in stunting and wasting prevalence (2·5 and 0·6 percentage points) than WHO flags (6·6 and 5·0 percentage points). PROBIT identified the Khoisan ethnic group and Northern geographical regions with the highest stunting and wasting prevalence, while WHO flags identified similar prevalence across most groups and regions. The present study supports the recommendation to use PROBIT when poor data quality is suspected for constructing trends, and for targeting regions and vulnerable groups.
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spelling pubmed-93892802022-08-23 Nutritional status of children under 5 years old in Namibia: adjusting for poor quality child anthropometry Fujimura, Maya S. Conkle, Joel Van Wyk, Marjorie Jimba, Masamine J Nutr Sci Research Article The poor assessment of child malnutrition impacts both national-level trends and prioritisation of regions and vulnerable groups based on malnutrition burden. Namibia has reported a high prevalence of malnutrition among children younger than 5 years of age. The present study's aim was to identify the optimal methods for estimating child stunting and wasting prevalence in Namibia using two datasets with suspected poor data quality: Namibia Demographic and Health Surveys (NDHS) (1992–2013) and Namibia Household Income and Expenditure Survey (NHIES), 2015/16. This comparative secondary data analysis used two prevalence estimation methods: WHO flags and PROBIT. WHO flags is the standard analysis method for most national household surveys, while the PROBIT method is recommended for poor quality anthropometry. In NHIES (n 4960), the prevalence of stunting (n 4780) was 30·3 and 20·9 % for the WHO flags and PROBIT estimates, respectively, and the national wasting prevalence (n 4637) was 11·2 and 4·2 %, respectively. The trends in nutritional status from NDHS and NHIES showed improvement across WHO flags and PROBIT until 2013; however, from 2013 to 2016, PROBIT showed smaller increases in stunting and wasting prevalence (2·5 and 0·6 percentage points) than WHO flags (6·6 and 5·0 percentage points). PROBIT identified the Khoisan ethnic group and Northern geographical regions with the highest stunting and wasting prevalence, while WHO flags identified similar prevalence across most groups and regions. The present study supports the recommendation to use PROBIT when poor data quality is suspected for constructing trends, and for targeting regions and vulnerable groups. Cambridge University Press 2022-08-15 /pmc/articles/PMC9389280/ /pubmed/36004336 http://dx.doi.org/10.1017/jns.2022.67 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Fujimura, Maya S.
Conkle, Joel
Van Wyk, Marjorie
Jimba, Masamine
Nutritional status of children under 5 years old in Namibia: adjusting for poor quality child anthropometry
title Nutritional status of children under 5 years old in Namibia: adjusting for poor quality child anthropometry
title_full Nutritional status of children under 5 years old in Namibia: adjusting for poor quality child anthropometry
title_fullStr Nutritional status of children under 5 years old in Namibia: adjusting for poor quality child anthropometry
title_full_unstemmed Nutritional status of children under 5 years old in Namibia: adjusting for poor quality child anthropometry
title_short Nutritional status of children under 5 years old in Namibia: adjusting for poor quality child anthropometry
title_sort nutritional status of children under 5 years old in namibia: adjusting for poor quality child anthropometry
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9389280/
https://www.ncbi.nlm.nih.gov/pubmed/36004336
http://dx.doi.org/10.1017/jns.2022.67
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