Cargando…

Air Pollution Exposure Monitoring among Pregnant Women with and without Asthma

Background: We monitored exposure to fine particulates (PM(2.5)), ozone, nitrogen dioxide (NO(2)), and ambient temperature for pregnant women with and without asthma. Methods: Women (n = 40) from the Breathe—Well-Being, Environment, Lifestyle, and Lung Function Study (2015–2018) were enrolled during...

Descripción completa

Detalles Bibliográficos
Autores principales: Ha, Sandie, Nobles, Carrie, Kanner, Jenna, Sherman, Seth, Cho, Seung-Hyun, Perkins, Neil, Williams, Andrew, Grobman, William, Biggio, Joseph, Subramaniam, Akila, Ouidir, Marion, Chen, Zhen, Mendola, Pauline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7369909/
https://www.ncbi.nlm.nih.gov/pubmed/32645870
http://dx.doi.org/10.3390/ijerph17134888
_version_ 1783560877672235008
author Ha, Sandie
Nobles, Carrie
Kanner, Jenna
Sherman, Seth
Cho, Seung-Hyun
Perkins, Neil
Williams, Andrew
Grobman, William
Biggio, Joseph
Subramaniam, Akila
Ouidir, Marion
Chen, Zhen
Mendola, Pauline
author_facet Ha, Sandie
Nobles, Carrie
Kanner, Jenna
Sherman, Seth
Cho, Seung-Hyun
Perkins, Neil
Williams, Andrew
Grobman, William
Biggio, Joseph
Subramaniam, Akila
Ouidir, Marion
Chen, Zhen
Mendola, Pauline
author_sort Ha, Sandie
collection PubMed
description Background: We monitored exposure to fine particulates (PM(2.5)), ozone, nitrogen dioxide (NO(2)), and ambient temperature for pregnant women with and without asthma. Methods: Women (n = 40) from the Breathe—Well-Being, Environment, Lifestyle, and Lung Function Study (2015–2018) were enrolled during pregnancy and monitored for 2–4 days. Daily pollutants were measured using personal air monitors, indoor air monitors, and nearest Environmental Protection Agency’s stationary monitors based on GPS tracking and home address. Results: Personal-monitor measurements of PM(2.5), ozone, and NO(2) did not vary by asthma status but exposure profiles significantly differed by assessment methods. EPA stationary monitor-based methods appeared to underestimate PM(2.5) and temperature exposure and overestimate ozone and NO(2) exposure. Higher indoor-monitored PM(2.5) exposures were associated with smoking and the use of gas appliances. The proportion of waking-time during which personal monitors were worn was ~56%. Lower compliance was associated with exercise, smoking, being around a smoker, and the use of a prescription drug. Conclusions: Exposure did not vary by asthma status but was influenced by daily activities and assessment methods. Personal monitors may better capture exposures but non-compliance merits attention. Meanwhile, larger monitoring studies are warranted to further understand exposure profiles and the health effects of air pollution during pregnancy.
format Online
Article
Text
id pubmed-7369909
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-73699092020-07-21 Air Pollution Exposure Monitoring among Pregnant Women with and without Asthma Ha, Sandie Nobles, Carrie Kanner, Jenna Sherman, Seth Cho, Seung-Hyun Perkins, Neil Williams, Andrew Grobman, William Biggio, Joseph Subramaniam, Akila Ouidir, Marion Chen, Zhen Mendola, Pauline Int J Environ Res Public Health Article Background: We monitored exposure to fine particulates (PM(2.5)), ozone, nitrogen dioxide (NO(2)), and ambient temperature for pregnant women with and without asthma. Methods: Women (n = 40) from the Breathe—Well-Being, Environment, Lifestyle, and Lung Function Study (2015–2018) were enrolled during pregnancy and monitored for 2–4 days. Daily pollutants were measured using personal air monitors, indoor air monitors, and nearest Environmental Protection Agency’s stationary monitors based on GPS tracking and home address. Results: Personal-monitor measurements of PM(2.5), ozone, and NO(2) did not vary by asthma status but exposure profiles significantly differed by assessment methods. EPA stationary monitor-based methods appeared to underestimate PM(2.5) and temperature exposure and overestimate ozone and NO(2) exposure. Higher indoor-monitored PM(2.5) exposures were associated with smoking and the use of gas appliances. The proportion of waking-time during which personal monitors were worn was ~56%. Lower compliance was associated with exercise, smoking, being around a smoker, and the use of a prescription drug. Conclusions: Exposure did not vary by asthma status but was influenced by daily activities and assessment methods. Personal monitors may better capture exposures but non-compliance merits attention. Meanwhile, larger monitoring studies are warranted to further understand exposure profiles and the health effects of air pollution during pregnancy. MDPI 2020-07-07 2020-07 /pmc/articles/PMC7369909/ /pubmed/32645870 http://dx.doi.org/10.3390/ijerph17134888 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ha, Sandie
Nobles, Carrie
Kanner, Jenna
Sherman, Seth
Cho, Seung-Hyun
Perkins, Neil
Williams, Andrew
Grobman, William
Biggio, Joseph
Subramaniam, Akila
Ouidir, Marion
Chen, Zhen
Mendola, Pauline
Air Pollution Exposure Monitoring among Pregnant Women with and without Asthma
title Air Pollution Exposure Monitoring among Pregnant Women with and without Asthma
title_full Air Pollution Exposure Monitoring among Pregnant Women with and without Asthma
title_fullStr Air Pollution Exposure Monitoring among Pregnant Women with and without Asthma
title_full_unstemmed Air Pollution Exposure Monitoring among Pregnant Women with and without Asthma
title_short Air Pollution Exposure Monitoring among Pregnant Women with and without Asthma
title_sort air pollution exposure monitoring among pregnant women with and without asthma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7369909/
https://www.ncbi.nlm.nih.gov/pubmed/32645870
http://dx.doi.org/10.3390/ijerph17134888
work_keys_str_mv AT hasandie airpollutionexposuremonitoringamongpregnantwomenwithandwithoutasthma
AT noblescarrie airpollutionexposuremonitoringamongpregnantwomenwithandwithoutasthma
AT kannerjenna airpollutionexposuremonitoringamongpregnantwomenwithandwithoutasthma
AT shermanseth airpollutionexposuremonitoringamongpregnantwomenwithandwithoutasthma
AT choseunghyun airpollutionexposuremonitoringamongpregnantwomenwithandwithoutasthma
AT perkinsneil airpollutionexposuremonitoringamongpregnantwomenwithandwithoutasthma
AT williamsandrew airpollutionexposuremonitoringamongpregnantwomenwithandwithoutasthma
AT grobmanwilliam airpollutionexposuremonitoringamongpregnantwomenwithandwithoutasthma
AT biggiojoseph airpollutionexposuremonitoringamongpregnantwomenwithandwithoutasthma
AT subramaniamakila airpollutionexposuremonitoringamongpregnantwomenwithandwithoutasthma
AT ouidirmarion airpollutionexposuremonitoringamongpregnantwomenwithandwithoutasthma
AT chenzhen airpollutionexposuremonitoringamongpregnantwomenwithandwithoutasthma
AT mendolapauline airpollutionexposuremonitoringamongpregnantwomenwithandwithoutasthma