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How Seasonality of Malnutrition Is Measured and Analyzed
Seasonality is a critical source of vulnerability across most human activities and natural processes, including the underlying and immediate drivers of acute malnutrition. However, while there is general agreement that acute malnutrition is highly variable within and across years, the evidence base...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7918225/ https://www.ncbi.nlm.nih.gov/pubmed/33668508 http://dx.doi.org/10.3390/ijerph18041828 |
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author | Marshak, Anastasia Venkat, Aishwarya Young, Helen Naumova, Elena N. |
author_facet | Marshak, Anastasia Venkat, Aishwarya Young, Helen Naumova, Elena N. |
author_sort | Marshak, Anastasia |
collection | PubMed |
description | Seasonality is a critical source of vulnerability across most human activities and natural processes, including the underlying and immediate drivers of acute malnutrition. However, while there is general agreement that acute malnutrition is highly variable within and across years, the evidence base is limited, resulting in an overreliance on assumptions of seasonal peaks. We review the design and analysis of 24 studies exploring the seasonality of nutrition outcomes in Africa’s drylands, providing a summary of approaches and their advantages and disadvantages. Over half of the studies rely on two to four time points within the year and/or the inclusion of time as a categorical variable in the analysis. While such approaches simplify interpretation, they do not correspond to the climatic variability characteristic of drylands or the relationship between climatic variability and human activities. To better ground our understanding of the seasonality of acute malnutrition in a robust evidence base, we offer recommendations for study design and analysis, including drawing on participatory methods to identify community perceptions of seasonality, use of longitudinal data and panel analysis with approaches borrowed from the field of infectious diseases, and linking oscillations in nutrition data with climatic data. |
format | Online Article Text |
id | pubmed-7918225 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79182252021-03-02 How Seasonality of Malnutrition Is Measured and Analyzed Marshak, Anastasia Venkat, Aishwarya Young, Helen Naumova, Elena N. Int J Environ Res Public Health Review Seasonality is a critical source of vulnerability across most human activities and natural processes, including the underlying and immediate drivers of acute malnutrition. However, while there is general agreement that acute malnutrition is highly variable within and across years, the evidence base is limited, resulting in an overreliance on assumptions of seasonal peaks. We review the design and analysis of 24 studies exploring the seasonality of nutrition outcomes in Africa’s drylands, providing a summary of approaches and their advantages and disadvantages. Over half of the studies rely on two to four time points within the year and/or the inclusion of time as a categorical variable in the analysis. While such approaches simplify interpretation, they do not correspond to the climatic variability characteristic of drylands or the relationship between climatic variability and human activities. To better ground our understanding of the seasonality of acute malnutrition in a robust evidence base, we offer recommendations for study design and analysis, including drawing on participatory methods to identify community perceptions of seasonality, use of longitudinal data and panel analysis with approaches borrowed from the field of infectious diseases, and linking oscillations in nutrition data with climatic data. MDPI 2021-02-13 2021-02 /pmc/articles/PMC7918225/ /pubmed/33668508 http://dx.doi.org/10.3390/ijerph18041828 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Marshak, Anastasia Venkat, Aishwarya Young, Helen Naumova, Elena N. How Seasonality of Malnutrition Is Measured and Analyzed |
title | How Seasonality of Malnutrition Is Measured and Analyzed |
title_full | How Seasonality of Malnutrition Is Measured and Analyzed |
title_fullStr | How Seasonality of Malnutrition Is Measured and Analyzed |
title_full_unstemmed | How Seasonality of Malnutrition Is Measured and Analyzed |
title_short | How Seasonality of Malnutrition Is Measured and Analyzed |
title_sort | how seasonality of malnutrition is measured and analyzed |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7918225/ https://www.ncbi.nlm.nih.gov/pubmed/33668508 http://dx.doi.org/10.3390/ijerph18041828 |
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