Analysis of the distribution of macronutrients of food baskets delivered by municipalities during the Covid-19 pandemic in Peru

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Objectives. Evaluate and compare the macronutrient distribution of the food baskets delivered by Peruvian municipalities during the COVID-19 pandemic according to the geographic domain and assigned budget level. Materials and methods. Secondary analysis of the database “Consultation of Acquisition a...

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Detalles Bibliográficos
Autores: Morales-Cahuancama, Bladimir, Dolores-Maldonado, Gandy, Hinojosa-Mamani, Paul, Bautista-Olortegui, William, Quispe-Gala, Cinthia, Huamán-Espino, Lucio, Aparco, Juan Pablo
Formato: artículo
Fecha de Publicación:2022
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:español
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/659815
Enlace del recurso:http://hdl.handle.net/10757/659815
Nivel de acceso:acceso abierto
Materia:Covid-19
Perú
Disaster vulnerability
Emergency feeding
Food basket
Food security
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dc.title.es_PE.fl_str_mv Analysis of the distribution of macronutrients of food baskets delivered by municipalities during the Covid-19 pandemic in Peru
dc.title.alternative.es_PE.fl_str_mv Análisis de la distribución de macronutrientes en canastas alimentarias entregadas por las municipalidades durante la pandemia de Covid-19 en Perú
title Analysis of the distribution of macronutrients of food baskets delivered by municipalities during the Covid-19 pandemic in Peru
spellingShingle Analysis of the distribution of macronutrients of food baskets delivered by municipalities during the Covid-19 pandemic in Peru
Morales-Cahuancama, Bladimir
Covid-19
Perú
Disaster vulnerability
Emergency feeding
Food basket
Food security
title_short Analysis of the distribution of macronutrients of food baskets delivered by municipalities during the Covid-19 pandemic in Peru
title_full Analysis of the distribution of macronutrients of food baskets delivered by municipalities during the Covid-19 pandemic in Peru
title_fullStr Analysis of the distribution of macronutrients of food baskets delivered by municipalities during the Covid-19 pandemic in Peru
title_full_unstemmed Analysis of the distribution of macronutrients of food baskets delivered by municipalities during the Covid-19 pandemic in Peru
title_sort Analysis of the distribution of macronutrients of food baskets delivered by municipalities during the Covid-19 pandemic in Peru
author Morales-Cahuancama, Bladimir
author_facet Morales-Cahuancama, Bladimir
Dolores-Maldonado, Gandy
Hinojosa-Mamani, Paul
Bautista-Olortegui, William
Quispe-Gala, Cinthia
Huamán-Espino, Lucio
Aparco, Juan Pablo
author_role author
author2 Dolores-Maldonado, Gandy
Hinojosa-Mamani, Paul
Bautista-Olortegui, William
Quispe-Gala, Cinthia
Huamán-Espino, Lucio
Aparco, Juan Pablo
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Morales-Cahuancama, Bladimir
Dolores-Maldonado, Gandy
Hinojosa-Mamani, Paul
Bautista-Olortegui, William
Quispe-Gala, Cinthia
Huamán-Espino, Lucio
Aparco, Juan Pablo
dc.subject.es_PE.fl_str_mv Covid-19
Perú
Disaster vulnerability
Emergency feeding
Food basket
Food security
topic Covid-19
Perú
Disaster vulnerability
Emergency feeding
Food basket
Food security
description Objectives. Evaluate and compare the macronutrient distribution of the food baskets delivered by Peruvian municipalities during the COVID-19 pandemic according to the geographic domain and assigned budget level. Materials and methods. Secondary analysis of the database “Consultation of Acquisition and distribution of basic necessities of the basic family basket” of the General Comptroller of the Republic. Stratified probability sampling was carried out. The distribution of caloric intake was calculated according to macronutrients and compared with the Acceptable Intervals of Macronutrient Distribution (IADM) of the Institute of Nutrition of Central America and Panama (INCAP) and the National Institute of Civil Defense (INDECI). Results. At the national level, the median caloric intake of proteins was 7.7%; carbohydrates 62.5%; and fats 28.1%. The proportion of municipalities with a protein deficit was 84%; Municipalities with excess carbohydrates ranged from 16.5% (according to INCAP) to 35.9% (according to INDECI), and with excess fat, it was 61.6% (according to INCAP) and 20.2% (according to INDECI). According to INDECI, nationally only 9.2% of municipalities delivered baskets with an adequate distribution of macronutrients; Metropolitan Lima stands out with the highest proportions of adequate baskets, while in the Jungle this percentage was less than 5%. Conclusions. Most of the baskets delivered did not have adequate macronutrient distribution. Especially the baskets of municipalities outside of Metropolitan Lima or that had a smaller budget. Carbohydrates and fats were the nutrients that were included in excess, while proteins were deficient.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-05-06T16:05:32Z
dc.date.available.none.fl_str_mv 2022-05-06T16:05:32Z
dc.date.issued.fl_str_mv 2022-01-01
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.issn.none.fl_str_mv 17264634
dc.identifier.doi.none.fl_str_mv 10.17843/rpmesp.2022.391.9742
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/659815
dc.identifier.eissn.none.fl_str_mv 17264642
dc.identifier.journal.es_PE.fl_str_mv Revista Peruana de Medicina Experimental y Salud Publica
dc.identifier.eid.none.fl_str_mv 2-s2.0-85128374713
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85128374713
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identifier_str_mv 17264634
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Revista Peruana de Medicina Experimental y Salud Publica
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url http://hdl.handle.net/10757/659815
dc.language.iso.es_PE.fl_str_mv spa
language spa
dc.relation.url.es_PE.fl_str_mv https://rpmesp.ins.gob.pe/index.php/rpmesp/article/view/9742
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
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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 Instituto Nacional de Salud
dc.source.es_PE.fl_str_mv Universidad Peruana de Ciencias Aplicadas (UPC)
Repositorio Académico - UPC
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
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instname_str Universidad Peruana de Ciencias Aplicadas
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reponame_str UPC-Institucional
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dc.source.journaltitle.none.fl_str_mv Revista Peruana de Medicina Experimental y Salud Publica
dc.source.volume.none.fl_str_mv 39
dc.source.issue.none.fl_str_mv 1
dc.source.beginpage.none.fl_str_mv 6
dc.source.endpage.none.fl_str_mv 14
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Secondary analysis of the database “Consultation of Acquisition and distribution of basic necessities of the basic family basket” of the General Comptroller of the Republic. Stratified probability sampling was carried out. The distribution of caloric intake was calculated according to macronutrients and compared with the Acceptable Intervals of Macronutrient Distribution (IADM) of the Institute of Nutrition of Central America and Panama (INCAP) and the National Institute of Civil Defense (INDECI). Results. At the national level, the median caloric intake of proteins was 7.7%; carbohydrates 62.5%; and fats 28.1%. The proportion of municipalities with a protein deficit was 84%; Municipalities with excess carbohydrates ranged from 16.5% (according to INCAP) to 35.9% (according to INDECI), and with excess fat, it was 61.6% (according to INCAP) and 20.2% (according to INDECI). According to INDECI, nationally only 9.2% of municipalities delivered baskets with an adequate distribution of macronutrients; Metropolitan Lima stands out with the highest proportions of adequate baskets, while in the Jungle this percentage was less than 5%. Conclusions. Most of the baskets delivered did not have adequate macronutrient distribution. Especially the baskets of municipalities outside of Metropolitan Lima or that had a smaller budget. Carbohydrates and fats were the nutrients that were included in excess, while proteins were deficient.Objetivos. Evaluar y comparar la distribución de macronutrientes de las canastas alimentarias entregadas por las municipalidades peruanas durante la pandemia de COVID-19 según dominio geográfico y nivel de presupuesto asignado. Materiales y métodos. Análisis secundario de la base de datos «Consulta de adquisición y distribución de bienes de primera necesidad de la canasta básica familiar» de la Contraloría General de la República. Se realizó un muestreo probabilístico estratificado. Se calculó la distribución del aporte calórico según macronutrientes y se comparó con los intervalos aceptables de distribución de macronutrientes (IADM) del Instituto de Nutrición de Centro América y Panamá (INCAP) y del Instituto Nacional de Defensa Civil (INDECI). Resultados. A nivel nacional la mediana del aporte calórico de las proteínas fue 7,7%; carbohidratos 62,5%, y grasas 28,1%. La proporción de municipalidades con canastas con déficit de proteínas fue de 84%. Las municipalidades con canastas con exceso de carbohidratos variaron de 16,5% (según INCAP) a 35,9% (según INDECI) y con exceso de grasas fue 61,6 % (según INCAP) y 20,2% (según INDECI). Según INDECI, a nivel nacional solo el 9,2% de municipalidades entregaron canastas con distribución adecuada de macronutrientes, aquí destaca Lima Metropolitana con las proporciones más altas; mientras que en la selva este porcentaje fue menor del 5%. Conclusiones. La mayoría de las canastas entregadas no tuvieron distribución adecuada de macronutrientes, en especial las canastas de municipalidades fuera de Lima Metropolitana o las que contaban con menor presupuesto. Los carbohidratos y las grasas fueron los nutrientes que se incluyeron en exceso, mientras que las proteínas tuvieron déficit.Revisión por paresapplication/pdfspaInstituto Nacional de Saludhttps://rpmesp.ins.gob.pe/index.php/rpmesp/article/view/9742info:eu-repo/semantics/openAccessAttribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/Universidad Peruana de Ciencias Aplicadas (UPC)Repositorio Académico - UPCRevista Peruana de Medicina Experimental y Salud Publica391614reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCCovid-19PerúDisaster vulnerabilityEmergency feedingFood basketFood securityAnalysis of the distribution of macronutrients of food baskets delivered by municipalities during the Covid-19 pandemic in PeruAnálisis de la distribución de macronutrientes en canastas alimentarias entregadas por las municipalidades durante la pandemia de Covid-19 en Perúinfo:eu-repo/semantics/article2022-05-06T16:05:32ZTHUMBNAIL10.17843rpmesp.2022.391.9742.pdf.jpg10.17843rpmesp.2022.391.9742.pdf.jpgGenerated Thumbnailimage/jpeg104926https://repositorioacademico.upc.edu.pe/bitstream/10757/659815/5/10.17843rpmesp.2022.391.9742.pdf.jpgc481c460b792a0f06fdf7b17bdac96f4MD55falseTEXT10.17843rpmesp.2022.391.9742.pdf.txt10.17843rpmesp.2022.391.9742.pdf.txtExtracted texttext/plain47380https://repositorioacademico.upc.edu.pe/bitstream/10757/659815/4/10.17843rpmesp.2022.391.9742.pdf.txt7951dc676262741d521d311f22041fb6MD54falseLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/659815/3/license.txt8a4605be74aa9ea9d79846c1fba20a33MD53falseCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81031https://repositorioacademico.upc.edu.pe/bitstream/10757/659815/2/license_rdf934f4ca17e109e0a05eaeaba504d7ce4MD52falseORIGINAL10.17843rpmesp.2022.391.9742.pdf10.17843rpmesp.2022.391.9742.pdfapplication/pdf187964https://repositorioacademico.upc.edu.pe/bitstream/10757/659815/1/10.17843rpmesp.2022.391.9742.pdf3d1399336d961107ad374ee410c41530MD51true10757/659815oai:repositorioacademico.upc.edu.pe:10757/6598152022-05-07 02:54:56.054Repositorio académico upcupc@openrepository.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