Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight
- Autores
- Campero, Micaela Natalia; Scavuzzo, Carlos Matias; Scavuzzo, Carlos Marcelo; Román, María Dolores
- Año de publicación
- 2024
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Community food environments (CFEs) have a strong impact on child health and nutrition and this impact is currently negative in many areas. In the Republic of Argentina, there is a lack of research evaluating CFEs regionally and comprehensively by tools based on geographic information systems (GIS). This study aimed to characterize the spatial patterns of CFEs, through variables associated with its three dimensions (political, individual and environmental), and their association with the spatial distribution in urban localities in Argentina. CFEs were assessed in 657 localities with ≥5,000 inhabitants. Data on births and CFEs were obtained from nationally available open-source data and through remote sensing. The spatial distribution and presence of clusters were assessed using hotspot analysis, purely spatial analysis (SaTScan), Moran’s Index, semivariograms and spatially restrained multivariate clustering. Clusters of low risk for LBW, macrosomia, and preterm births were observed in the central-east part of the country, while high-risk clusters identified in the North, Centre and South. In the central-eastern region, low-risk clusters were found coinciding with hotspots of public policy coverage, high night-time light, social security coverage and complete secondary education of the household head in areas with low risk for negative outcomes of the birth variables studied, with the opposite with regard to households with unsatisfied basic needs and predominant land use classes in peri-urban areas of crops and herbaceous cover. These results show that the exploration of spatial patterns of CFEs is a necessary preliminary step before developing explanatory models and generating novel findings valuable for decision-making.
Fil: Campero, Micaela Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentina
Fil: Scavuzzo, Carlos Matias. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina
Fil: Scavuzzo, Carlos Marcelo. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina
Fil: Román, María Dolores. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentina - Materia
-
SPATIAL ANALYSIS
FOOD ENVIROMENT
BIRTH WEIGHT
PRETERM BIRTHS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/256171
Ver los metadatos del registro completo
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Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weightCampero, Micaela NataliaScavuzzo, Carlos MatiasScavuzzo, Carlos MarceloRomán, María DoloresSPATIAL ANALYSISFOOD ENVIROMENTBIRTH WEIGHTPRETERM BIRTHShttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Community food environments (CFEs) have a strong impact on child health and nutrition and this impact is currently negative in many areas. In the Republic of Argentina, there is a lack of research evaluating CFEs regionally and comprehensively by tools based on geographic information systems (GIS). This study aimed to characterize the spatial patterns of CFEs, through variables associated with its three dimensions (political, individual and environmental), and their association with the spatial distribution in urban localities in Argentina. CFEs were assessed in 657 localities with ≥5,000 inhabitants. Data on births and CFEs were obtained from nationally available open-source data and through remote sensing. The spatial distribution and presence of clusters were assessed using hotspot analysis, purely spatial analysis (SaTScan), Moran’s Index, semivariograms and spatially restrained multivariate clustering. Clusters of low risk for LBW, macrosomia, and preterm births were observed in the central-east part of the country, while high-risk clusters identified in the North, Centre and South. In the central-eastern region, low-risk clusters were found coinciding with hotspots of public policy coverage, high night-time light, social security coverage and complete secondary education of the household head in areas with low risk for negative outcomes of the birth variables studied, with the opposite with regard to households with unsatisfied basic needs and predominant land use classes in peri-urban areas of crops and herbaceous cover. These results show that the exploration of spatial patterns of CFEs is a necessary preliminary step before developing explanatory models and generating novel findings valuable for decision-making.Fil: Campero, Micaela Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; ArgentinaFil: Scavuzzo, Carlos Matias. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; ArgentinaFil: Scavuzzo, Carlos Marcelo. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; ArgentinaFil: Román, María Dolores. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; ArgentinaUniv Naples Federico Ii2024-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/256171Campero, Micaela Natalia; Scavuzzo, Carlos Matias; Scavuzzo, Carlos Marcelo; Román, María Dolores; Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight; Univ Naples Federico Ii; Geospatial Health; 19; 1; 5-2024; 1-141827-19871970-7096CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.geospatialhealth.net/gh/article/view/1249info:eu-repo/semantics/altIdentifier/doi/10.4081/gh.2024.1249info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:37:34Zoai:ri.conicet.gov.ar:11336/256171instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:37:34.755CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight |
title |
Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight |
spellingShingle |
Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight Campero, Micaela Natalia SPATIAL ANALYSIS FOOD ENVIROMENT BIRTH WEIGHT PRETERM BIRTHS |
title_short |
Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight |
title_full |
Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight |
title_fullStr |
Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight |
title_full_unstemmed |
Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight |
title_sort |
Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight |
dc.creator.none.fl_str_mv |
Campero, Micaela Natalia Scavuzzo, Carlos Matias Scavuzzo, Carlos Marcelo Román, María Dolores |
author |
Campero, Micaela Natalia |
author_facet |
Campero, Micaela Natalia Scavuzzo, Carlos Matias Scavuzzo, Carlos Marcelo Román, María Dolores |
author_role |
author |
author2 |
Scavuzzo, Carlos Matias Scavuzzo, Carlos Marcelo Román, María Dolores |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
SPATIAL ANALYSIS FOOD ENVIROMENT BIRTH WEIGHT PRETERM BIRTHS |
topic |
SPATIAL ANALYSIS FOOD ENVIROMENT BIRTH WEIGHT PRETERM BIRTHS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.3 https://purl.org/becyt/ford/3 |
dc.description.none.fl_txt_mv |
Community food environments (CFEs) have a strong impact on child health and nutrition and this impact is currently negative in many areas. In the Republic of Argentina, there is a lack of research evaluating CFEs regionally and comprehensively by tools based on geographic information systems (GIS). This study aimed to characterize the spatial patterns of CFEs, through variables associated with its three dimensions (political, individual and environmental), and their association with the spatial distribution in urban localities in Argentina. CFEs were assessed in 657 localities with ≥5,000 inhabitants. Data on births and CFEs were obtained from nationally available open-source data and through remote sensing. The spatial distribution and presence of clusters were assessed using hotspot analysis, purely spatial analysis (SaTScan), Moran’s Index, semivariograms and spatially restrained multivariate clustering. Clusters of low risk for LBW, macrosomia, and preterm births were observed in the central-east part of the country, while high-risk clusters identified in the North, Centre and South. In the central-eastern region, low-risk clusters were found coinciding with hotspots of public policy coverage, high night-time light, social security coverage and complete secondary education of the household head in areas with low risk for negative outcomes of the birth variables studied, with the opposite with regard to households with unsatisfied basic needs and predominant land use classes in peri-urban areas of crops and herbaceous cover. These results show that the exploration of spatial patterns of CFEs is a necessary preliminary step before developing explanatory models and generating novel findings valuable for decision-making. Fil: Campero, Micaela Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentina Fil: Scavuzzo, Carlos Matias. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina Fil: Scavuzzo, Carlos Marcelo. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina Fil: Román, María Dolores. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentina |
description |
Community food environments (CFEs) have a strong impact on child health and nutrition and this impact is currently negative in many areas. In the Republic of Argentina, there is a lack of research evaluating CFEs regionally and comprehensively by tools based on geographic information systems (GIS). This study aimed to characterize the spatial patterns of CFEs, through variables associated with its three dimensions (political, individual and environmental), and their association with the spatial distribution in urban localities in Argentina. CFEs were assessed in 657 localities with ≥5,000 inhabitants. Data on births and CFEs were obtained from nationally available open-source data and through remote sensing. The spatial distribution and presence of clusters were assessed using hotspot analysis, purely spatial analysis (SaTScan), Moran’s Index, semivariograms and spatially restrained multivariate clustering. Clusters of low risk for LBW, macrosomia, and preterm births were observed in the central-east part of the country, while high-risk clusters identified in the North, Centre and South. In the central-eastern region, low-risk clusters were found coinciding with hotspots of public policy coverage, high night-time light, social security coverage and complete secondary education of the household head in areas with low risk for negative outcomes of the birth variables studied, with the opposite with regard to households with unsatisfied basic needs and predominant land use classes in peri-urban areas of crops and herbaceous cover. These results show that the exploration of spatial patterns of CFEs is a necessary preliminary step before developing explanatory models and generating novel findings valuable for decision-making. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-05 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/256171 Campero, Micaela Natalia; Scavuzzo, Carlos Matias; Scavuzzo, Carlos Marcelo; Román, María Dolores; Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight; Univ Naples Federico Ii; Geospatial Health; 19; 1; 5-2024; 1-14 1827-1987 1970-7096 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/256171 |
identifier_str_mv |
Campero, Micaela Natalia; Scavuzzo, Carlos Matias; Scavuzzo, Carlos Marcelo; Román, María Dolores; Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight; Univ Naples Federico Ii; Geospatial Health; 19; 1; 5-2024; 1-14 1827-1987 1970-7096 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.geospatialhealth.net/gh/article/view/1249 info:eu-repo/semantics/altIdentifier/doi/10.4081/gh.2024.1249 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Univ Naples Federico Ii |
publisher.none.fl_str_mv |
Univ Naples Federico Ii |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.070432 |