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Multivariate analysis of food consumption profiles in crisis settings
Preventing malnutrition is one of the primary objectives of many humanitarian agencies, and household surveys are regularly employed to monitor food insecurity caused by political, economic, or environmental crises. Consumption frequencies for standard food groups are often collected to characterize...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10038298/ https://www.ncbi.nlm.nih.gov/pubmed/36961802 http://dx.doi.org/10.1371/journal.pone.0283627 |
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author | Gorzycka-Sikora, Aleksandra Mock, Nancy Lacey, Michelle |
author_facet | Gorzycka-Sikora, Aleksandra Mock, Nancy Lacey, Michelle |
author_sort | Gorzycka-Sikora, Aleksandra |
collection | PubMed |
description | Preventing malnutrition is one of the primary objectives of many humanitarian agencies, and household surveys are regularly employed to monitor food insecurity caused by political, economic, or environmental crises. Consumption frequencies for standard food groups are often collected to characterize the depth of food insecurity in a community and measure the impact of food assistance programs, producing a vector of bounded, correlated counts for each household. While aggregate indicators are typically used to summarize these results with a single statistic, they can be difficult to interpret and provide insufficient detail to judge the effectiveness of assistance programs. To address these limitations, we have developed a multivariate modeling framework for consumption frequency data. We introduce methods to update baseline models for the analysis of the smaller and more variable surveys typically collected in crisis settings, and we present an application of our approach to national consumption data collected in Yemen in 2014 and 2016 by the World Food Programme. The approach provides more nuanced and interpretable information about consumption changes in response to shocks and the effectiveness of humanitarian assistance. |
format | Online Article Text |
id | pubmed-10038298 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-100382982023-03-25 Multivariate analysis of food consumption profiles in crisis settings Gorzycka-Sikora, Aleksandra Mock, Nancy Lacey, Michelle PLoS One Research Article Preventing malnutrition is one of the primary objectives of many humanitarian agencies, and household surveys are regularly employed to monitor food insecurity caused by political, economic, or environmental crises. Consumption frequencies for standard food groups are often collected to characterize the depth of food insecurity in a community and measure the impact of food assistance programs, producing a vector of bounded, correlated counts for each household. While aggregate indicators are typically used to summarize these results with a single statistic, they can be difficult to interpret and provide insufficient detail to judge the effectiveness of assistance programs. To address these limitations, we have developed a multivariate modeling framework for consumption frequency data. We introduce methods to update baseline models for the analysis of the smaller and more variable surveys typically collected in crisis settings, and we present an application of our approach to national consumption data collected in Yemen in 2014 and 2016 by the World Food Programme. The approach provides more nuanced and interpretable information about consumption changes in response to shocks and the effectiveness of humanitarian assistance. Public Library of Science 2023-03-24 /pmc/articles/PMC10038298/ /pubmed/36961802 http://dx.doi.org/10.1371/journal.pone.0283627 Text en © 2023 Gorzycka-Sikora et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Gorzycka-Sikora, Aleksandra Mock, Nancy Lacey, Michelle Multivariate analysis of food consumption profiles in crisis settings |
title | Multivariate analysis of food consumption profiles in crisis settings |
title_full | Multivariate analysis of food consumption profiles in crisis settings |
title_fullStr | Multivariate analysis of food consumption profiles in crisis settings |
title_full_unstemmed | Multivariate analysis of food consumption profiles in crisis settings |
title_short | Multivariate analysis of food consumption profiles in crisis settings |
title_sort | multivariate analysis of food consumption profiles in crisis settings |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10038298/ https://www.ncbi.nlm.nih.gov/pubmed/36961802 http://dx.doi.org/10.1371/journal.pone.0283627 |
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