Poverty, Household Structure and Consumption of Foods Away from Home in Peru in 2019: A Cross-Sectional Study
Descripción del Articulo
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...
Autores: | , , , , , |
---|---|
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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repository_id_str |
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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 |
format |
article |
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 |
dc.identifier.eid.none.fl_str_mv |
2-s2.0-85137781995 |
dc.identifier.scopusid.none.fl_str_mv |
SCOPUS_ID:85137781995 |
dc.identifier.isni.none.fl_str_mv |
0000 0001 2196 144X |
identifier_str_mv |
10.3390/foods11172547 23048158 Foods 2-s2.0-85137781995 SCOPUS_ID:85137781995 0000 0001 2196 144X |
url |
http://hdl.handle.net/10757/663441 |
dc.language.iso.es_PE.fl_str_mv |
eng |
language |
eng |
dc.relation.url.es_PE.fl_str_mv |
https://www.mdpi.com/2304-8158/11/17/2547 |
dc.rights.es_PE.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.*.fl_str_mv |
Attribution-NonCommercial-ShareAlike 4.0 International |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ |
dc.format.es_PE.fl_str_mv |
application/pdf |
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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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. 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Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).