Evidence map›Paper›PMID 27449640›Full record

ArticleEnvironmental health : a global access science source2016

Use of geographic indicators of healthcare, environment and socioeconomic factors to characterize environmental health disparities.

Cindy M Padilla, Wahida Kihal-Talantikit, Sandra Perez, Severine Deguen

Abstract read
In one paragraph

Article in Environmental health : a global access science source, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 6 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

17 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Socioeconomic inequalities in exposure to neighbourhood environments for physical activity: a systematic review.The international journal of behavioral nutrition and physical activity · 2026
    Pooled it
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  4. Social Inequalities in Exposure to Ambient Air Pollution: A Systematic Review in the WHO European Region.International journal of environmental research and public health · 2019
    Pooled it
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  11. Air (ine)quality in the European Union.Current environmental health reports · 2022
    Review
  12. Article
  13. Article
  14. Elderly Health Inequality in China and its Determinants: A Geographical Perspective.International journal of environmental research and public health · 2019
    Article
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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, 35043, Rennes, France. cindy.padilla@ehesp.fr.
Wahida Kihal-TalantikitDepartment of Environmental and Occupational Health, EHESP School of Public Health, Sorbonne-Paris Cité, 35043, Rennes, France.
Sandra PerezUMR ESPACE 7300, University of Nice Sophia, Nice, France.
Severine DeguenDepartment of Environmental and Occupational Health, EHESP School of Public Health, Sorbonne-Paris Cité, 35043, Rennes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn environmental health inequality is a major public health concern in Europe. However just few studies take into account a large set of characteristics to analyze this problematic. The aim of this study was to identify and describe how socioeconomic, health accessibility and exposure factors accumulate and interact in small areas in a French urban context, to assess environmental health inequalities related to infant and neonatal mortality.

methodsEnvironmental indicators on deprivation index, proximity to high-traffic roads, green space, and healthcare accessibility were created using the Geographical Information System. Cases were collected from death certificates in the city hall of each municipality in the Nice metropolitan area. Using the parental addresses, cases were geocoded to their census block of residence. A classification using a Multiple Component Analysis following by a Hierarchical Clustering allow us to characterize the census blocks in terms of level of socioeconomic, environmental and accessibility to healthcare, which are very diverse definition by nature. Relation between infant and neonatal mortality rate and the three environmental patterns which categorize the census blocks after the classification was performed using a standard Poisson regression model for count data after checking the assumption of dispersion.

resultsBased on geographic indicators, three environmental patterns were identified. We found environmental inequalities and social health inequalities in Nice metropolitan area. Moreover these inequalities are counterbalance by the close proximity of deprived census blocks to healthcare facilities related to mother and newborn. So therefore we demonstrate no environmental health inequalities related to infant and neonatal mortality.

conclusionExamination of patterns of social, environmental and in relation with healthcare access is useful to identify census blocks with needs and their effects on health. Similar analyzes could be implemented and considered in other cities or related to other birth outcomes.

Indexed as

EnvironmentHealth Status DisparitiesInfant MortalityCitiesFemaleFranceHealth Services AccessibilityHumansInfantInfant, NewbornSocioeconomic FactorsEnvironmentEnvironmental health inequalitiesGISHealthcare accessibilityInfant mortality

Identifiers

PMID27449640
PMCPMC4957910

What OpenQuestion holds

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LicenceCC BY
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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.