Small but Mighty: Prenatal Ultrafine Particle Exposure Linked to Childhood Asthma Incidence

Because fetal development occurs through sequential biologic events, toxins that disrupt these processes can have a variable effect, depending on the nature of the pollutant, as well as timing and/or exposure level. [...]it would be interesting to calculate these prediction statistics at timescales...

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Bibliographic Details
Published in:American journal of respiratory and critical care medicine 2019-06, Vol.199 (12), p.1448-1450
Main Authors: Wright, Rosalind J, Coull, Brent A
Format: Article
Language:English
Subjects:
Air Pollutants - analysis
Air pollution
Asthma
Asthma - epidemiology
Child
DNA methylation
Epigenetics
Female
Humans
Incidence
Nitrates
Nitrogen dioxide
Outdoor air quality
Particulate Matter
Placenta
Pollutants
Pregnancy
Public health
Regulation
Systematic review
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Summary:Because fetal development occurs through sequential biologic events, toxins that disrupt these processes can have a variable effect, depending on the nature of the pollutant, as well as timing and/or exposure level. [...]it would be interesting to calculate these prediction statistics at timescales of interest: weekly, monthly, and trimesters. Another advantage of the distributed lag model is that in settings in which there is a strong seasonal trend in a pollutant, such as that observed for PM2.5, the distributed lag function avoids the temporal confounding that arises in some simpler modeling approaches, such as separate models that use a single trimester-averaged exposure (9). Because trimesters are approximately the same length as a season, seasonal trends can result in unique correlation patterns among trimester-specific exposures. In distributed lag models, the lagged function can vary in magnitude, in the location of the critical window, or both. [...]it can be useful to parameterize the distributed lag function as an overall effect times a weight function that characterizes the critical window of exposure, and to allow either or both of these features to vary by subject characteristic (10).
ISSN:1073-449X
1535-4970
DOI:10.1164/rccm.201903-0506ed