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

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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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Detalles Bibliográficos
Autores: Lozada-Urbano, Michelle, Huamán, Franklin, Xirinachs, Yanira, Rivera-Lozada, Oriana, Alvarez-Risco, Aldo, Yáñez, Jaime A.
Formato: artículo
Fecha de Publicación:2022
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/663441
Enlace del recurso:http://hdl.handle.net/10757/663441
Nivel de acceso:acceso abierto
Materia:away from home
ENAHO
families
food consumed
logit
Peru
spending
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dc.title.es_PE.fl_str_mv 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
spellingShingle Poverty, Household Structure and Consumption of Foods Away from Home in Peru in 2019: A Cross-Sectional Study
Lozada-Urbano, Michelle
away from home
ENAHO
families
food consumed
logit
Peru
spending
title_short 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_sort Poverty, Household Structure and Consumption of Foods Away from Home in Peru in 2019: A Cross-Sectional Study
author Lozada-Urbano, Michelle
author_facet Lozada-Urbano, Michelle
Huamán, Franklin
Xirinachs, Yanira
Rivera-Lozada, Oriana
Alvarez-Risco, Aldo
Yáñez, Jaime A.
author_role author
author2 Huamán, Franklin
Xirinachs, Yanira
Rivera-Lozada, Oriana
Alvarez-Risco, Aldo
Yáñez, Jaime A.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Lozada-Urbano, Michelle
Huamán, Franklin
Xirinachs, Yanira
Rivera-Lozada, Oriana
Alvarez-Risco, Aldo
Yáñez, Jaime A.
dc.subject.es_PE.fl_str_mv away from home
ENAHO
families
food consumed
logit
Peru
spending
topic away from home
ENAHO
families
food consumed
logit
Peru
spending
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.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-11-10T10:19:03Z
dc.date.available.none.fl_str_mv 2022-11-10T10:19:03Z
dc.date.issued.fl_str_mv 2022-09-01
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.doi.none.fl_str_mv 10.3390/foods11172547
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/663441
dc.identifier.eissn.none.fl_str_mv 23048158
dc.identifier.journal.es_PE.fl_str_mv Foods
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identifier_str_mv 10.3390/foods11172547
23048158
Foods
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SCOPUS_ID:85137781995
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dc.language.iso.es_PE.fl_str_mv eng
language eng
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dc.publisher.es_PE.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
instacron_str UPC
institution UPC
reponame_str UPC-Institucional
collection UPC-Institucional
dc.source.journaltitle.none.fl_str_mv Foods
dc.source.volume.none.fl_str_mv 11
dc.source.issue.none.fl_str_mv 17
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