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Residential particulate matter, proximity to major roads, traffic density and traffic volume as risk factors for preterm birth in California.
Costello, Jean M; Steurer, Martina A; Baer, Rebecca J; Witte, John S; Jelliffe-Pawlowski, Laura L.
Afiliación
  • Costello JM; California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.
  • Steurer MA; Program in Biological and Medical Informatics, University of California San Francisco, San Francisco, CA, USA.
  • Baer RJ; California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.
  • Witte JS; Department of Paediatrics, University of California San Francisco, San Francisco, CA, USA.
  • Jelliffe-Pawlowski LL; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Paediatr Perinat Epidemiol ; 36(1): 70-79, 2022 Jan.
Article en En | MEDLINE | ID: mdl-34797570
ABSTRACT

BACKGROUND:

While pollution from vehicle sources is an established risk factor for preterm birth, it is unclear whether distance of residence to the nearest major road or related measures like major road density represent useful measures for characterising risk.

OBJECTIVE:

To determine whether major road proximity measures (including distance to major road, major road density and traffic volume) are more useful risk factors for preterm birth than other established vehicle-related measures (including particulate matter <2.5 µm in diameter (PM2.5 ) and diesel particulate matter (diesel PM)).

METHODS:

This retrospective cohort study included 2.7 million births across the state of California from 2011-2017; each address at delivery was geocoded. Geocoding was used to calculate distance to the nearest major road, major road density within a 500 m radius and major road density weighted by truck volume. We measured associations with preterm birth using risk ratios adjusted for target demographic, clinical, socioeconomic and environmental covariates (aRRs). We compared these to the associations between preterm birth and PM2.5 and diesel PM by census tract of residence.

RESULTS:

Findings showed that whereas higher mean levels of PM2.5 and diesel PM by census tract were associated with a higher risk of preterm birth, living closer to roads or living in higher traffic density areas was not associated with higher risk. Residence in a census tract with a mean PM2.5 in the top quartile compared with the lowest quartile was associated with the highest observed risk of preterm birth (aRR 1.04, 95% CI 1.04, 1.05).

CONCLUSIONS:

Over a large geographical region with a diverse population, PM2.5 and diesel PM were associated with preterm birth, while measures of distance to major road were not, suggesting that these distance measures do not serve as a proxy for measures of particulate matter in the context of preterm birth.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Nacimiento Prematuro / Contaminantes Atmosféricos / Contaminación del Aire Tipo de estudio: Etiology_studies / Observational_studies / Risk_factors_studies Límite: Humans / Newborn País/Región como asunto: America do norte Idioma: En Revista: Paediatr Perinat Epidemiol Asunto de la revista: EPIDEMIOLOGIA / PEDIATRIA / PERINATOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Nacimiento Prematuro / Contaminantes Atmosféricos / Contaminación del Aire Tipo de estudio: Etiology_studies / Observational_studies / Risk_factors_studies Límite: Humans / Newborn País/Región como asunto: America do norte Idioma: En Revista: Paediatr Perinat Epidemiol Asunto de la revista: EPIDEMIOLOGIA / PEDIATRIA / PERINATOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos