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Please use this identifier to cite or link to this item: http://repositorio.insp.mx:8080/jspui/handle/20.500.12096/8457
Title: Prenatal PM2.5 exposure in the second and third trimesters predicts neurocognitive performance at age 9-10 years: A cohort study of Mexico City children
Keywords: Adult Air Pollutants* / analysis Air Pollutants* / toxicity Air Pollution* / statistics & numerical data Child Cohort Studies Female Humans Maternal Exposure / statistics & numerical data Mexico / epidemiology Particulate Matter / analysis Particulate Matter / toxicity Pregnancy Pregnancy Trimester, Third Prenatal Exposure Delayed Effects* / chemically induced Prenatal Exposure Delayed Effects* / epidemiology nan
Issue Date: 2021
Publisher: Elsevier
Abstract: Abstract Introduction: Prenatal exposure to fine particulate matter air pollution (PM2.5) is an important, under-studied risk factor for neurodevelopmental dysfunction. We describe the relationships between prenatal PM2.5 exposure and vigilance and inhibitory control, executive functions related to multiple health outcomes in Mexico City children. Methods: We studied 320 children enrolled in Programming Research in Obesity, GRowth, Environment and Social Stressors, a longitudinal birth cohort study in Mexico City. We used a spatio-temporal model to estimate daily prenatal PM2.5 exposure at each participants residential address. At age 9-10 years, children performed three GoNo-Go tasks, which measure vigilance and inhibitory control ability. We used Latent class analysis (LCA) to classify performance into subgroups that reflected neurocognitive performance and applied multivariate regression and distributed lag regression modeling (DLM) to test overall and time-dependent associations between prenatal PM2.5 exposure and GoNo-Go performance. Results: LCA detected two GoNo-Go phenotypes: high performers (Class 1) and low performers (Class 2). Predicting odds of Class 1 vs Class 2 membership based on prenatal PM2.5 exposure timing, logistic regression modeling showed that average prenatal PM2.5 exposure in the second and third trimesters correlated with increased odds of membership in low-performance Class 2 (OR 1.59 (1.16, 2.17), p 0.004). Additionally, DLM analysis identified a critical window consisting of gestational days 103-268 (second and third trimesters) in which prenatal PM2.5 exposure predicted poorer GoNo-Go performance. Discussion: Increased prenatal PM2.5 exposure predicted decreased vigilance and inhibitory control at age 9-10 years. These findings highlight the second and third trimesters of gestation as critical windows of PM2.5 exposure for the development of vigilance and inhibitory control in preadolescent children. Because childhood development of vigilance and inhibitory control informs behavior, academic performance, and self-regulation into adulthood, these results may help to describe the relationship of prenatal PM2.5 exposure to long-term health and psychosocial outcomes. The integrative methodology of this study also contributes to a shift towards more holistic analysis.
URI: https://reader.elsevier.com/reader/sd/pii/S0013935121009452?token=19C63BACB6939C9402ADBC14910709B8D1C6B773556EFD3ED56D6DFDB373316A5970126AEB2E62FA22759DA248ED794B&originRegion=us-east-1&originCreation=20221017214614
https://doi.org/10.1016/j.envres.2021.111651.
http://repositorio.insp.mx:8080/jspui/handle/20.500.12096/8457
ISSN: 1096-0953
Appears in Collections:Artículos

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