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Influence of PM(1) and PM(2.5) on lung function parameters in healthy schoolchildren—a panel study

To evaluate lung function responses to short-term indoor PM(1) and PM(2.5) concentrations, we conducted a panel study of healthy schoolchildren aged 13–14 years. The following lung function parameters FVC, FEV(1), PEF, and mid expiratory flows MEF(25), MEF(50), and MEF(75) were measured in 141 schoo...

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Autores principales: Zwozdziak, A., Sówka, I., Willak-Janc, E., Zwozdziak, J., Kwiecińska, K., Balińska-Miśkiewicz, W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5110587/
https://www.ncbi.nlm.nih.gov/pubmed/27628915
http://dx.doi.org/10.1007/s11356-016-7605-1
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author Zwozdziak, A.
Sówka, I.
Willak-Janc, E.
Zwozdziak, J.
Kwiecińska, K.
Balińska-Miśkiewicz, W.
author_facet Zwozdziak, A.
Sówka, I.
Willak-Janc, E.
Zwozdziak, J.
Kwiecińska, K.
Balińska-Miśkiewicz, W.
author_sort Zwozdziak, A.
collection PubMed
description To evaluate lung function responses to short-term indoor PM(1) and PM(2.5) concentrations, we conducted a panel study of healthy schoolchildren aged 13–14 years. The following lung function parameters FVC, FEV(1), PEF, and mid expiratory flows MEF(25), MEF(50), and MEF(75) were measured in 141 schoolchildren of the secondary school in Wroclaw, Poland in years 2009–2010. On days when spirometry tests were conducted, simultaneously, PM(1) and PM(2.5) samples were collected inside the school premises. Information about differentiating factors for children including smoking parents, sex, living close to busy streets, dust, mold, and pollen allergies were collected by means of questionnaires. To account for repeated measurements, the method of generalized estimating equations (GEE) was used. The GEE models for the entire group of children revealed the adverse effects (p < 0.05) of PM(1) and PM(2.5). Small differences in effects estimates per interquartile range (IQR) of PM(1) and PM(2.5) on MEF(25) (5.1 and 4.8 %), MEF(50) (3.7 and 3.9 %), MEF(75) (3.5 and 3.6 %) and FEV(1) (1.3 and 1.0 %) imply that PM(1) was likely the component of PM(2.5) that might have a principal health effect on these lung function parameters. However, the reduction of FVC and PEF per IQR for PM(2.5) (2.1 and 5.2 %, respectively) was higher than for PM(1) (1.0 and 4.4 %, respectively). Adjustment for potential confounders did not change the unadjusted analysis.
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spelling pubmed-51105872016-11-29 Influence of PM(1) and PM(2.5) on lung function parameters in healthy schoolchildren—a panel study Zwozdziak, A. Sówka, I. Willak-Janc, E. Zwozdziak, J. Kwiecińska, K. Balińska-Miśkiewicz, W. Environ Sci Pollut Res Int Research Article To evaluate lung function responses to short-term indoor PM(1) and PM(2.5) concentrations, we conducted a panel study of healthy schoolchildren aged 13–14 years. The following lung function parameters FVC, FEV(1), PEF, and mid expiratory flows MEF(25), MEF(50), and MEF(75) were measured in 141 schoolchildren of the secondary school in Wroclaw, Poland in years 2009–2010. On days when spirometry tests were conducted, simultaneously, PM(1) and PM(2.5) samples were collected inside the school premises. Information about differentiating factors for children including smoking parents, sex, living close to busy streets, dust, mold, and pollen allergies were collected by means of questionnaires. To account for repeated measurements, the method of generalized estimating equations (GEE) was used. The GEE models for the entire group of children revealed the adverse effects (p < 0.05) of PM(1) and PM(2.5). Small differences in effects estimates per interquartile range (IQR) of PM(1) and PM(2.5) on MEF(25) (5.1 and 4.8 %), MEF(50) (3.7 and 3.9 %), MEF(75) (3.5 and 3.6 %) and FEV(1) (1.3 and 1.0 %) imply that PM(1) was likely the component of PM(2.5) that might have a principal health effect on these lung function parameters. However, the reduction of FVC and PEF per IQR for PM(2.5) (2.1 and 5.2 %, respectively) was higher than for PM(1) (1.0 and 4.4 %, respectively). Adjustment for potential confounders did not change the unadjusted analysis. Springer Berlin Heidelberg 2016-09-15 2016 /pmc/articles/PMC5110587/ /pubmed/27628915 http://dx.doi.org/10.1007/s11356-016-7605-1 Text en © The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research Article
Zwozdziak, A.
Sówka, I.
Willak-Janc, E.
Zwozdziak, J.
Kwiecińska, K.
Balińska-Miśkiewicz, W.
Influence of PM(1) and PM(2.5) on lung function parameters in healthy schoolchildren—a panel study
title Influence of PM(1) and PM(2.5) on lung function parameters in healthy schoolchildren—a panel study
title_full Influence of PM(1) and PM(2.5) on lung function parameters in healthy schoolchildren—a panel study
title_fullStr Influence of PM(1) and PM(2.5) on lung function parameters in healthy schoolchildren—a panel study
title_full_unstemmed Influence of PM(1) and PM(2.5) on lung function parameters in healthy schoolchildren—a panel study
title_short Influence of PM(1) and PM(2.5) on lung function parameters in healthy schoolchildren—a panel study
title_sort influence of pm(1) and pm(2.5) on lung function parameters in healthy schoolchildren—a panel study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5110587/
https://www.ncbi.nlm.nih.gov/pubmed/27628915
http://dx.doi.org/10.1007/s11356-016-7605-1
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