Predicting gestational personal exposure to PM2.5 from satellite-driven ambient concentrations in Shanghai.
Chemosphere
; 233: 452-461, 2019 Oct.
Article
em En
| MEDLINE
| ID: mdl-31176908
ABSTRACT
BACKGROUND:
It has been widely reported that gestational exposure to fine particulate matters (PM2.5) is associated with a series of adverse birth outcomes. However, the discrepancy between ambient PM2.5 concentrations and personal PM2.5 exposure would significantly affect the estimation of exposure-response relationship.OBJECTIVE:
Our study aimed to predict gestational personal exposure to PM2.5 from the satellite-driven ambient concentrations and analyze the influence of other potential determinants.METHOD:
We collected 762 72-h personal exposure samples from a panel of 329 pregnant women in Shanghai, China as well as their time-activity patterns from Feb 2017 to Jun 2018. We established an ambient PM2.5 model based on MAIAC AOD at 1â¯km resolution, then used its output as a major predictor to develop a personal exposure model.RESULTS:
Our ambient PM2.5 model yielded a cross-validation R2 of 0.96. Personal PM2.5 exposure levels were almost identical to the corresponding ambient concentrations. After adjusting for time-activity patterns and meteorological factors, our personal exposure has a CV R2 of 0.76.CONCLUSION:
We established a prediction model for gestational personal exposure to PM2.5 from satellite-based ambient concentrations and provided a methodological reference for further epidemiological studies.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Contexto em Saúde:
2_ODS3
Base de dados:
MEDLINE
Assunto principal:
Monitoramento Ambiental
/
Exposição Materna
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Exposição por Inalação
/
Poluentes Atmosféricos
/
Material Particulado
Tipo de estudo:
Prognostic_studies
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Risk_factors_studies
Limite:
Female
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Humans
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Pregnancy
País/Região como assunto:
Asia
Idioma:
En
Revista:
Chemosphere
Ano de publicação:
2019
Tipo de documento:
Article