Prevalence and socioeconomic determinants of food insecurity among Venezuelan migrant and refugee urban households in Peru

Descripción del Articulo

Introduction: Food insecurity (FI) is a public health problem affecting many regions of the world. In Venezuela, the political, social and economic situation experienced since 2010 has caused a mass migration of its population to other countries, including Peru, which, in turn, may have limited acce...

Descripción completa

Detalles Bibliográficos
Autores: Hernández-Vásquez, Akram, Vargas-Fernández, Rodrigo, Visconti-Lopez, Fabriccio J., Aparco, Juan Pablo
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/669066
Enlace del recurso:http://hdl.handle.net/10757/669066
Nivel de acceso:acceso abierto
Materia:cross-sectional studies
emigrants and immigrants
food insecurity
Peru
prevalence
refugees
Venezuela
Food Insecurity (FI)
Venezuelan Immigrants
Prevalence
Determinants
Cross-Sectional Study
ENPOVE 2022
Food Insecurity Experience Scale (FIES)
Poisson Log Generalized Linear Regression
Socio-Demographic Characteristics
id UUPC_1dd7793ef1293daafce5e6ff9a9f0931
oai_identifier_str oai:repositorioacademico.upc.edu.pe:10757/669066
network_acronym_str UUPC
network_name_str UPC-Institucional
repository_id_str 2670
dc.title.es_PE.fl_str_mv Prevalence and socioeconomic determinants of food insecurity among Venezuelan migrant and refugee urban households in Peru
title Prevalence and socioeconomic determinants of food insecurity among Venezuelan migrant and refugee urban households in Peru
spellingShingle Prevalence and socioeconomic determinants of food insecurity among Venezuelan migrant and refugee urban households in Peru
Hernández-Vásquez, Akram
cross-sectional studies
emigrants and immigrants
food insecurity
Peru
prevalence
refugees
Venezuela
Food Insecurity (FI)
Venezuelan Immigrants
Prevalence
Determinants
Cross-Sectional Study
ENPOVE 2022
Food Insecurity Experience Scale (FIES)
Poisson Log Generalized Linear Regression
Socio-Demographic Characteristics
title_short Prevalence and socioeconomic determinants of food insecurity among Venezuelan migrant and refugee urban households in Peru
title_full Prevalence and socioeconomic determinants of food insecurity among Venezuelan migrant and refugee urban households in Peru
title_fullStr Prevalence and socioeconomic determinants of food insecurity among Venezuelan migrant and refugee urban households in Peru
title_full_unstemmed Prevalence and socioeconomic determinants of food insecurity among Venezuelan migrant and refugee urban households in Peru
title_sort Prevalence and socioeconomic determinants of food insecurity among Venezuelan migrant and refugee urban households in Peru
author Hernández-Vásquez, Akram
author_facet Hernández-Vásquez, Akram
Vargas-Fernández, Rodrigo
Visconti-Lopez, Fabriccio J.
Aparco, Juan Pablo
author_role author
author2 Vargas-Fernández, Rodrigo
Visconti-Lopez, Fabriccio J.
Aparco, Juan Pablo
author2_role author
author
author
dc.contributor.author.fl_str_mv Hernández-Vásquez, Akram
Vargas-Fernández, Rodrigo
Visconti-Lopez, Fabriccio J.
Aparco, Juan Pablo
dc.subject.es_PE.fl_str_mv cross-sectional studies
emigrants and immigrants
food insecurity
Peru
prevalence
refugees
Venezuela
Food Insecurity (FI)
Venezuelan Immigrants
Prevalence
Determinants
Cross-Sectional Study
ENPOVE 2022
Food Insecurity Experience Scale (FIES)
Poisson Log Generalized Linear Regression
Socio-Demographic Characteristics
topic cross-sectional studies
emigrants and immigrants
food insecurity
Peru
prevalence
refugees
Venezuela
Food Insecurity (FI)
Venezuelan Immigrants
Prevalence
Determinants
Cross-Sectional Study
ENPOVE 2022
Food Insecurity Experience Scale (FIES)
Poisson Log Generalized Linear Regression
Socio-Demographic Characteristics
description Introduction: Food insecurity (FI) is a public health problem affecting many regions of the world. In Venezuela, the political, social and economic situation experienced since 2010 has caused a mass migration of its population to other countries, including Peru, which, in turn, may have limited access to and availability of food leading to a high nutritional burden in this population. The objective of this study was to determine the prevalence and analyze the determinants of FI in the households of Venezuelan immigrants in Peru. Methods: A cross-sectional study was conducted using the “Encuesta Dirigida a la Población Venezolana que Reside en el País” (ENPOVE 2022). The dependent variable was moderate–severe FI (yes/no), which was constructed from an eight-item Food Insecurity Experience Scale (FIES) to measure FI at the household level. Poisson log generalized linear regression models were fitted to assess the association between the independent variables and FI. In addition, the reliability of the FIES as a tool for measuring food insecurity in the target population was determined. Results: A total of 3,491 households with Venezuelan migrants and refugees were included in the analysis. We found that 39.0% of Venezuelan immigrant households in Peru experienced moderate–severe FI. The determinants of FI included socio-demographic characteristics of the household head, and economic and geographical characteristics of the household. Regarding the FIES, we found that the inclusion of 7 of the 8 items had adequate internal consistency and its items assessed the same latent range. Discussion: This study highlights the need to identify determinants associated with FI to design strategies that mitigate the consequences of health crises and strengthen regional food systems, making them more sustainable. Although several studies have evaluated the prevalence of FI in Venezuelan migrant populations in other countries, this study is the first to evaluate the determinants of FI in Venezuelan immigrant households in Peru.
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-10-23T00:47:52Z
dc.date.available.none.fl_str_mv 2023-10-23T00:47:52Z
dc.date.issued.fl_str_mv 2023-01-01
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.doi.none.fl_str_mv 10.3389/fnut.2023.1187221
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/669066
dc.identifier.eissn.none.fl_str_mv 2296861X
dc.identifier.journal.es_PE.fl_str_mv Frontiers in Nutrition
dc.identifier.eid.none.fl_str_mv 2-s2.0-85163755560
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85163755560
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
dc.identifier.ror.none.fl_str_mv 047xrr705
identifier_str_mv 10.3389/fnut.2023.1187221
2296861X
Frontiers in Nutrition
2-s2.0-85163755560
SCOPUS_ID:85163755560
0000 0001 2196 144X
047xrr705
url http://hdl.handle.net/10757/669066
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.relation.url.es_PE.fl_str_mv https://www.frontiersin.org/articles/10.3389/fnut.2023.1187221/full
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.*.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.es_PE.fl_str_mv application/pdf
dc.publisher.es_PE.fl_str_mv Frontiers Media S.A.
dc.source.es_PE.fl_str_mv Universidad Peruana de Ciencias Aplicadas (UPC)
Repositorio Academico - UPC
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 Frontiers in Nutrition
dc.source.volume.none.fl_str_mv 10
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/669066/5/fnut-10-1187221.pdf.jpg
https://repositorioacademico.upc.edu.pe/bitstream/10757/669066/4/fnut-10-1187221.pdf.txt
https://repositorioacademico.upc.edu.pe/bitstream/10757/669066/3/license.txt
https://repositorioacademico.upc.edu.pe/bitstream/10757/669066/2/license_rdf
https://repositorioacademico.upc.edu.pe/bitstream/10757/669066/1/fnut-10-1187221.pdf
bitstream.checksum.fl_str_mv 2eba447f14e60f61693b3328192d2f2d
05f4977527ed1c9f4271dbedf474bb5f
8a4605be74aa9ea9d79846c1fba20a33
4460e5956bc1d1639be9ae6146a50347
6015574c543b0a7871f1044366fb911f
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositorio académico upc
repository.mail.fl_str_mv upc@openrepository.com
_version_ 1846065947355381760
spelling ecd860436477bcb5c963482d9b46499450018f6a67a1211188139a10b80c4a8662e500f6574d09a8f065b4f85132a5a12fbd8442c81da6a62563ce0d7ae5a3c0d8496d500Hernández-Vásquez, AkramVargas-Fernández, RodrigoVisconti-Lopez, Fabriccio J.Aparco, Juan Pablo2023-10-23T00:47:52Z2023-10-23T00:47:52Z2023-01-0110.3389/fnut.2023.1187221http://hdl.handle.net/10757/6690662296861XFrontiers in Nutrition2-s2.0-85163755560SCOPUS_ID:851637555600000 0001 2196 144X047xrr705Introduction: Food insecurity (FI) is a public health problem affecting many regions of the world. In Venezuela, the political, social and economic situation experienced since 2010 has caused a mass migration of its population to other countries, including Peru, which, in turn, may have limited access to and availability of food leading to a high nutritional burden in this population. The objective of this study was to determine the prevalence and analyze the determinants of FI in the households of Venezuelan immigrants in Peru. Methods: A cross-sectional study was conducted using the “Encuesta Dirigida a la Población Venezolana que Reside en el País” (ENPOVE 2022). The dependent variable was moderate–severe FI (yes/no), which was constructed from an eight-item Food Insecurity Experience Scale (FIES) to measure FI at the household level. Poisson log generalized linear regression models were fitted to assess the association between the independent variables and FI. In addition, the reliability of the FIES as a tool for measuring food insecurity in the target population was determined. Results: A total of 3,491 households with Venezuelan migrants and refugees were included in the analysis. We found that 39.0% of Venezuelan immigrant households in Peru experienced moderate–severe FI. The determinants of FI included socio-demographic characteristics of the household head, and economic and geographical characteristics of the household. Regarding the FIES, we found that the inclusion of 7 of the 8 items had adequate internal consistency and its items assessed the same latent range. Discussion: This study highlights the need to identify determinants associated with FI to design strategies that mitigate the consequences of health crises and strengthen regional food systems, making them more sustainable. Although several studies have evaluated the prevalence of FI in Venezuelan migrant populations in other countries, this study is the first to evaluate the determinants of FI in Venezuelan immigrant households in Peru.Revisión por paresODS 2: Hambre CeroODS 3: Salud y BienestarODS 10: Reducción de las Desigualdadesapplication/pdfengFrontiers Media S.A.https://www.frontiersin.org/articles/10.3389/fnut.2023.1187221/fullinfo:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Universidad Peruana de Ciencias Aplicadas (UPC)Repositorio Academico - UPCFrontiers in Nutrition10reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCcross-sectional studiesemigrants and immigrantsfood insecurityPeruprevalencerefugeesVenezuelaFood Insecurity (FI)Venezuelan ImmigrantsPrevalenceDeterminantsCross-Sectional StudyENPOVE 2022Food Insecurity Experience Scale (FIES)Poisson Log Generalized Linear RegressionSocio-Demographic CharacteristicsPrevalence and socioeconomic determinants of food insecurity among Venezuelan migrant and refugee urban households in Peruinfo:eu-repo/semantics/article2023-10-23T00:47:53ZTHUMBNAILfnut-10-1187221.pdf.jpgfnut-10-1187221.pdf.jpgGenerated Thumbnailimage/jpeg99549https://repositorioacademico.upc.edu.pe/bitstream/10757/669066/5/fnut-10-1187221.pdf.jpg2eba447f14e60f61693b3328192d2f2dMD55falseTEXTfnut-10-1187221.pdf.txtfnut-10-1187221.pdf.txtExtracted texttext/plain49912https://repositorioacademico.upc.edu.pe/bitstream/10757/669066/4/fnut-10-1187221.pdf.txt05f4977527ed1c9f4271dbedf474bb5fMD54falseLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/669066/3/license.txt8a4605be74aa9ea9d79846c1fba20a33MD53falseCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://repositorioacademico.upc.edu.pe/bitstream/10757/669066/2/license_rdf4460e5956bc1d1639be9ae6146a50347MD52falseORIGINALfnut-10-1187221.pdffnut-10-1187221.pdfapplication/pdf605779https://repositorioacademico.upc.edu.pe/bitstream/10757/669066/1/fnut-10-1187221.pdf6015574c543b0a7871f1044366fb911fMD51true10757/669066oai:repositorioacademico.upc.edu.pe:10757/6690662024-07-19 03:09:32.548Repositorio académico upcupc@openrepository.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
score 13.905282
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).