Evidence map›Paper›PMID 27338439›Full record

ArticleInternational journal of environmental research and public health2016

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

Cindy M Padilla, Wahida Kihal-Talantikit, Verónica M Vieira, Séverine Deguen

Abstract readComparative Study
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Infant Mortality Related to NOInternational journal of environmental research and public health · 2020
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Infant Mortality in Moscow: the Perils of Progress in Russia's World City.Journal of urban health : bulletin of the New York Academy of Medicine · 2019
    Article
  9. Mapping Variation in Breast Cancer Screening: Where to Intervene?International journal of environmental research and public health · 2019
    Article
  10. Article
  11. Article
  12. Spatiotemporal Frameworks for Infectious Disease Diffusion and Epidemiology.International journal of environmental research and public health · 2016
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Cindy M PadillaDepartment of Quantitative Methods in Public Health, EHESP School of Public Health-Sorbonne-Paris Cité, Rennes 35043, France. cindy.padilla@ehesp.fr.
Wahida Kihal-TalantikitDepartment of Environmental and Occupational Health, EHESP School of Public Health, Rennes, Sorbonne-Paris Cité 35043, France. wahida.kihal@ehesp.fr.
Verónica M VieiraProgram in Public Health, Chao Family Cancer Center, University of Irvine, Irvine, CA 92697, USA. vvieira@uci.edu.
Séverine DeguenIRSET-Research Institute of Environmental and Occupational Health, Rennes 35000, France. severine.deguen@ehesp.fr.

Funding

Training CoreP42ES007381 · NIEHS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI SHERR, DAVID H · 1995 to 2019
$46.1M
NIEHS NIH HHS P42 ES007381
6 · The paper itself

Abstract

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.

Indexed as

Air PollutionCitiesCluster AnalysisEnvironmental ExposureFemaleForecastingFranceGeographyHumansInfantInfant MortalityInfant, NewbornMaleModels, TheoreticalParisResidence Characteristicscluster analysisenvironmental nuisancesinfant mortalityneighborhood deprivationneonatal mortalityspatial modeling

Identifiers

PMID27338439
PMCPMC4924081

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.