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Poverty, Household Structure and Consumption of Foods Away from Home in Peru in 2019: A Cross-Sectional Study

The aim of this study was to evaluate the probability of buying food away from home according to the type of household using the logit model, as well as the sociodemographic characteristics of the heads of household, and how much income expenditure represents. A cross-sectional study was carried out...

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Autores principales: Lozada-Urbano, Michelle, Huamán, Franklin, Xirinachs, Yanira, Rivera-Lozada, Oriana, Alvarez-Risco, Aldo, Yáñez, Jaime A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9455660/
https://www.ncbi.nlm.nih.gov/pubmed/36076733
http://dx.doi.org/10.3390/foods11172547
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author Lozada-Urbano, Michelle
Huamán, Franklin
Xirinachs, Yanira
Rivera-Lozada, Oriana
Alvarez-Risco, Aldo
Yáñez, Jaime A.
author_facet Lozada-Urbano, Michelle
Huamán, Franklin
Xirinachs, Yanira
Rivera-Lozada, Oriana
Alvarez-Risco, Aldo
Yáñez, Jaime A.
author_sort Lozada-Urbano, Michelle
collection PubMed
description The aim of this study was to evaluate the probability of buying food away from home according to the type of household using the logit model, as well as the sociodemographic characteristics of the heads of household, and how much income expenditure represents. A cross-sectional study was carried out using the National Household Survey (ENAHO) 2019 database. After joining the database, the household type variables were created. To calculate the probability with the “logit” model of purchase, the variables—family size, income, types of household, and total expenditure—were selected as a measure of the purchasing power of the family. A statistically significant association (p < 0.05) was found between the probability of consumption and the variables: age of household members, predominance, nuclear without children–married, nuclear with children–cohabitant, nuclear with children–widowed, nuclear with children–separated, extended, compounded, poor not extreme, and not poor. The bulk of families was represented by nuclear families (61.97%). The highest expenditure in the CFAH was for families defined as composite with a yearly average of USD 1652.89 (equivalent to PEN 5520.67). Observing the expenditure on food consumed outside the home through the composition of households can allow a better approach to offer educational measures. This information can be helpful to developers of educational issues.
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spelling pubmed-94556602022-09-09 Poverty, Household Structure and Consumption of Foods Away from Home in Peru in 2019: A Cross-Sectional Study Lozada-Urbano, Michelle Huamán, Franklin Xirinachs, Yanira Rivera-Lozada, Oriana Alvarez-Risco, Aldo Yáñez, Jaime A. Foods Article The aim of this study was to evaluate the probability of buying food away from home according to the type of household using the logit model, as well as the sociodemographic characteristics of the heads of household, and how much income expenditure represents. A cross-sectional study was carried out using the National Household Survey (ENAHO) 2019 database. After joining the database, the household type variables were created. To calculate the probability with the “logit” model of purchase, the variables—family size, income, types of household, and total expenditure—were selected as a measure of the purchasing power of the family. A statistically significant association (p < 0.05) was found between the probability of consumption and the variables: age of household members, predominance, nuclear without children–married, nuclear with children–cohabitant, nuclear with children–widowed, nuclear with children–separated, extended, compounded, poor not extreme, and not poor. The bulk of families was represented by nuclear families (61.97%). The highest expenditure in the CFAH was for families defined as composite with a yearly average of USD 1652.89 (equivalent to PEN 5520.67). Observing the expenditure on food consumed outside the home through the composition of households can allow a better approach to offer educational measures. This information can be helpful to developers of educational issues. MDPI 2022-08-23 /pmc/articles/PMC9455660/ /pubmed/36076733 http://dx.doi.org/10.3390/foods11172547 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lozada-Urbano, Michelle
Huamán, Franklin
Xirinachs, Yanira
Rivera-Lozada, Oriana
Alvarez-Risco, Aldo
Yáñez, Jaime A.
Poverty, Household Structure and Consumption of Foods Away from Home in Peru in 2019: A Cross-Sectional Study
title Poverty, Household Structure and Consumption of Foods Away from Home in Peru in 2019: A Cross-Sectional Study
title_full Poverty, Household Structure and Consumption of Foods Away from Home in Peru in 2019: A Cross-Sectional Study
title_fullStr Poverty, Household Structure and Consumption of Foods Away from Home in Peru in 2019: A Cross-Sectional Study
title_full_unstemmed Poverty, Household Structure and Consumption of Foods Away from Home in Peru in 2019: A Cross-Sectional Study
title_short Poverty, Household Structure and Consumption of Foods Away from Home in Peru in 2019: A Cross-Sectional Study
title_sort poverty, household structure and consumption of foods away from home in peru in 2019: a cross-sectional study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9455660/
https://www.ncbi.nlm.nih.gov/pubmed/36076733
http://dx.doi.org/10.3390/foods11172547
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