Cargando…

City-Specific Spatiotemporal Infant and Neonatal Mortality Clusters: Links with Socioeconomic and Air Pollution Spatial Patterns in France

Infant and neonatal mortality indicators are known to vary geographically, possibly as a result of socioeconomic and environmental inequalities. To better understand how these factors contribute to spatial and temporal patterns, we conducted a French ecological study comparing two time periods betwe...

Descripción completa

Detalles Bibliográficos
Autores principales: Padilla, Cindy M., Kihal-Talantikit, Wahida, Vieira, Verónica M., Deguen, Séverine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4924081/
https://www.ncbi.nlm.nih.gov/pubmed/27338439
http://dx.doi.org/10.3390/ijerph13060624
_version_ 1782439804638593024
author Padilla, Cindy M.
Kihal-Talantikit, Wahida
Vieira, Verónica M.
Deguen, Séverine
author_facet Padilla, Cindy M.
Kihal-Talantikit, Wahida
Vieira, Verónica M.
Deguen, Séverine
author_sort Padilla, Cindy M.
collection PubMed
description Infant and neonatal mortality indicators are known to vary geographically, possibly as a result of socioeconomic and environmental inequalities. To better understand how these factors contribute to spatial and temporal patterns, we conducted a French ecological study comparing two time periods between 2002 and 2009 for three (purposefully distinct) Metropolitan Areas (MAs) and the city of Paris, using the French census block of parental residence as the geographic unit of analysis. We identified areas of excess risk and assessed the role of neighborhood deprivation and average nitrogen dioxide concentrations using generalized additive models to generate maps smoothed on longitude and latitude. Comparison of the two time periods indicated that statistically significant areas of elevated infant and neonatal mortality shifted northwards for the city of Paris, are present only in the earlier time period for Lille MA, only in the later time period for Lyon MA, and decrease over time for Marseille MA. These city-specific geographic patterns in neonatal and infant mortality are largely explained by socioeconomic and environmental inequalities. Spatial analysis can be a useful tool for understanding how risk factors contribute to disparities in health outcomes ranging from infant mortality to infectious disease—a leading cause of infant mortality.
format Online
Article
Text
id pubmed-4924081
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-49240812016-07-05 City-Specific Spatiotemporal Infant and Neonatal Mortality Clusters: Links with Socioeconomic and Air Pollution Spatial Patterns in France Padilla, Cindy M. Kihal-Talantikit, Wahida Vieira, Verónica M. Deguen, Séverine Int J Environ Res Public Health Article Infant and neonatal mortality indicators are known to vary geographically, possibly as a result of socioeconomic and environmental inequalities. To better understand how these factors contribute to spatial and temporal patterns, we conducted a French ecological study comparing two time periods between 2002 and 2009 for three (purposefully distinct) Metropolitan Areas (MAs) and the city of Paris, using the French census block of parental residence as the geographic unit of analysis. We identified areas of excess risk and assessed the role of neighborhood deprivation and average nitrogen dioxide concentrations using generalized additive models to generate maps smoothed on longitude and latitude. Comparison of the two time periods indicated that statistically significant areas of elevated infant and neonatal mortality shifted northwards for the city of Paris, are present only in the earlier time period for Lille MA, only in the later time period for Lyon MA, and decrease over time for Marseille MA. These city-specific geographic patterns in neonatal and infant mortality are largely explained by socioeconomic and environmental inequalities. Spatial analysis can be a useful tool for understanding how risk factors contribute to disparities in health outcomes ranging from infant mortality to infectious disease—a leading cause of infant mortality. MDPI 2016-06-22 2016-06 /pmc/articles/PMC4924081/ /pubmed/27338439 http://dx.doi.org/10.3390/ijerph13060624 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Padilla, Cindy M.
Kihal-Talantikit, Wahida
Vieira, Verónica M.
Deguen, Séverine
City-Specific Spatiotemporal Infant and Neonatal Mortality Clusters: Links with Socioeconomic and Air Pollution Spatial Patterns in France
title City-Specific Spatiotemporal Infant and Neonatal Mortality Clusters: Links with Socioeconomic and Air Pollution Spatial Patterns in France
title_full City-Specific Spatiotemporal Infant and Neonatal Mortality Clusters: Links with Socioeconomic and Air Pollution Spatial Patterns in France
title_fullStr City-Specific Spatiotemporal Infant and Neonatal Mortality Clusters: Links with Socioeconomic and Air Pollution Spatial Patterns in France
title_full_unstemmed City-Specific Spatiotemporal Infant and Neonatal Mortality Clusters: Links with Socioeconomic and Air Pollution Spatial Patterns in France
title_short City-Specific Spatiotemporal Infant and Neonatal Mortality Clusters: Links with Socioeconomic and Air Pollution Spatial Patterns in France
title_sort city-specific spatiotemporal infant and neonatal mortality clusters: links with socioeconomic and air pollution spatial patterns in france
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4924081/
https://www.ncbi.nlm.nih.gov/pubmed/27338439
http://dx.doi.org/10.3390/ijerph13060624
work_keys_str_mv AT padillacindym cityspecificspatiotemporalinfantandneonatalmortalityclusterslinkswithsocioeconomicandairpollutionspatialpatternsinfrance
AT kihaltalantikitwahida cityspecificspatiotemporalinfantandneonatalmortalityclusterslinkswithsocioeconomicandairpollutionspatialpatternsinfrance
AT vieiraveronicam cityspecificspatiotemporalinfantandneonatalmortalityclusterslinkswithsocioeconomicandairpollutionspatialpatternsinfrance
AT deguenseverine cityspecificspatiotemporalinfantandneonatalmortalityclusterslinkswithsocioeconomicandairpollutionspatialpatternsinfrance