Evidence map›Paper›PMID 40499154›Full record

ArticleEuropean journal of public health2025

Mapping susceptibility to air pollution and its association with birth defects: a tool for public health intervention.

Carlos Aniceto, Paula Braz, Ausenda Machado, Carlos Matias-Dias

Abstract read
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Article in European journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Carlos AnicetoDepartment of Epidemiology, National Institute of Health Doutor Ricardo Jorge, Lisboa, Portugal.ORCID 0000-0002-7779-7228
Paula BrazDepartment of Epidemiology, National Institute of Health Doutor Ricardo Jorge, Lisboa, Portugal.ORCID 0000-0003-3043-2827
Ausenda MachadoDepartment of Epidemiology, National Institute of Health Doutor Ricardo Jorge, Lisboa, Portugal.ORCID 0000-0002-1849-1499
Carlos Matias-DiasDepartment of Epidemiology, National Institute of Health Doutor Ricardo Jorge, Lisboa, Portugal.ORCID 0000-0002-0206-5874

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiological studies evaluating the relation of environmental air pollution (AP) and birth defect (BD) are relevant to public health. Some limitations on these studies may derive from multiple factors contributing to the spatial variation of AP. This study aimed to integrate multifactorial AP indicators into an index and explore its application in a case-control study conducted in Portugal between 2016 and 2021. Spatial multicriteria analysis was employed to identify areas susceptible to AP. Variables included: (i) Euclidean distance to industrial units; (ii) kernel estimation of industrial units density; (iii) land occupation; (iv) Euclidean distance to main roads; and (v) areas conductive to radiation fog formation. Variables were classified into high, moderate, and low susceptibility. An AP susceptibility map was generated using the weighted linear combination method, with the analytic hierarchy process assigning weights to the variables. Georeferenced BD cases and controls were overlaid with environmental exposure variables and the AP index. Three AP susceptibility areas were identified: consolidated urban, peri-urban area, and a residential-industrial area. In areas of high susceptibility, 47 cases (29%) and 65 controls (31%) were observed; and in areas of low susceptibility 25 cases (15%) and 21 controls (10%) were observed. The development of the AP susceptibility map has been demonstrated to be a valuable tool for identifying patterns, generating hypotheses regarding the potential environmental exposure of NB to AP agents during pregnancy. When integrated into more complex analyses, these findings may contribute to assess the potential risk factors that play a major role in BD.

Indexed as

Air PollutionCongenital AbnormalitiesEnvironmental ExposureCase-Control StudiesFemaleHumansPortugalPregnancyPublic Health

Identifiers

PMID40499154
PMCPMC12529273

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