Analysis of the distribution of macronutrients of food baskets delivered by municipalities during the Covid-19 pandemic in Peru
Descripción del Articulo
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...
| Autores: | , , , , , , |
|---|---|
| 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 |
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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 |
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2-s2.0-85128374713 |
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SCOPUS_ID:85128374713 |
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0000 0001 2196 144X |
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17264634 10.17843/rpmesp.2022.391.9742 17264642 Revista Peruana de Medicina Experimental y Salud Publica 2-s2.0-85128374713 SCOPUS_ID:85128374713 0000 0001 2196 144X |
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http://hdl.handle.net/10757/659815 |
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spa |
| language |
spa |
| dc.relation.url.es_PE.fl_str_mv |
https://rpmesp.ins.gob.pe/index.php/rpmesp/article/view/9742 |
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info:eu-repo/semantics/openAccess |
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Attribution-NonCommercial-ShareAlike 4.0 International |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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openAccess |
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Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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application/pdf |
| dc.publisher.es_PE.fl_str_mv |
Instituto Nacional de Salud |
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Universidad Peruana de Ciencias Aplicadas (UPC) Repositorio Académico - UPC |
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reponame:UPC-Institucional instname:Universidad Peruana de Ciencias Aplicadas instacron:UPC |
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Universidad Peruana de Ciencias Aplicadas |
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UPC |
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UPC |
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UPC-Institucional |
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Revista Peruana de Medicina Experimental y Salud Publica |
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39 |
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f113804ecd88fca4d7a043dd4bb8a7dd3007cc84b81fbd41979c8862edc68557ea630087d20bd13b1c4d816459467ae6eb1f0230014742179d114de9cdb0ba8a2a16ffa6f3003da82dc86ea51d3bc662f9b542316e173005b88f3b5f61a877f20163ea6d600f36050042c81da6a62563ce0d7ae5a3c0d8496d500Morales-Cahuancama, BladimirDolores-Maldonado, GandyHinojosa-Mamani, PaulBautista-Olortegui, WilliamQuispe-Gala, CinthiaHuamán-Espino, LucioAparco, Juan Pablo2022-05-06T16:05:32Z2022-05-06T16:05:32Z2022-01-011726463410.17843/rpmesp.2022.391.9742http://hdl.handle.net/10757/65981517264642Revista Peruana de Medicina Experimental y Salud Publica2-s2.0-85128374713SCOPUS_ID:851283747130000 0001 2196 144XObjectives. 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.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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 |
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