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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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 |
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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 |
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