Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Gorzycka-Sikora, Aleksandra, Mock, Nancy, Lacey, Michelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
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
_version_ 1784912050136285184
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
work_keys_str_mv AT gorzyckasikoraaleksandra multivariateanalysisoffoodconsumptionprofilesincrisissettings
AT mocknancy multivariateanalysisoffoodconsumptionprofilesincrisissettings
AT laceymichelle multivariateanalysisoffoodconsumptionprofilesincrisissettings