Effects of Particulate Matter on the Incidence of Respiratory Diseases in the Pisan Longitudinal Study
The current study aimed at assessing the effects of exposure to Particulate Matter (PM) on the incidence of respiratory diseases in a sub-sample of participants in the longitudinal analytical epidemiological study in Pisa, Italy. Three hundred and five subjects living at the same address from 1991 t...
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doaj-892212c9459543ebaa5bad5fcc1d02c22020-11-25T02:10:45ZengMDPI AGInternational Journal of Environmental Research and Public Health1661-78271660-46012020-04-01172540254010.3390/ijerph17072540Effects of Particulate Matter on the Incidence of Respiratory Diseases in the Pisan Longitudinal StudySalvatore Fasola0Sara Maio1Sandra Baldacci2Stefania La Grutta3Giuliana Ferrante4Francesco Forastiere5Massimo Stafoggia6Claudio Gariazzo7Giovanni Viegi8on behalf of the BEEP Collaborative GroupInstitute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, ItalyInstitute of Clinical Physiology, National Research Council, 56126 Pisa, ItalyInstitute of Clinical Physiology, National Research Council, 56126 Pisa, ItalyInstitute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, ItalyDepartment of Health Promotion Sciences, Maternal and Infant Care, Internal Medicine and Medical Specialities, University of Palermo, 90127 Palermo, ItalyInstitute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, ItalyDepartment of Epidemiology, Lazio Region Health Service—ASL Roma 1, 00147 Rome, ItalyOccupational and Environmental Medicine, Epidemiology and Hygiene Department, Italian Workers’ Compensation Authority (INAIL), Monte Porzio Catone, 00144 Rome, ItalyInstitute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, ItalyThe current study aimed at assessing the effects of exposure to Particulate Matter (PM) on the incidence of respiratory diseases in a sub-sample of participants in the longitudinal analytical epidemiological study in Pisa, Italy. Three hundred and five subjects living at the same address from 1991 to 2011 were included. Individual risk factors recorded during the 1991 survey were considered, and new cases of respiratory diseases were ascertained until 2011. Average PM<sub>10</sub> and PM<sub>2.5</sub> exposures (µg/m<sup>3</sup>, year 2011) were estimated at the residential address (1-km<sup>2</sup> resolution) through a random forest machine learning approach, using a combination of satellite data and land use variables. Multivariable logistic regression with Firth’s correction was applied. The median (25th–75th percentile) exposure levels were 30.1 µg/m<sup>3</sup> (29.9–30.7 µg/m<sup>3</sup>) for PM<sub>10</sub> and 19.3 µg/m<sup>3</sup> (18.9–19.4 µg/m<sup>3</sup>) for PM<sub>2.5</sub>. Incidences of rhinitis and chronic phlegm were associated with increasing PM<sub>2.5</sub>: OR = 2.25 (95% CI: 1.07, 4.98) per unit increase (p.u.i.) and OR = 4.17 (1.12, 18.71) p.u.i., respectively. Incidence of chronic obstructive pulmonary disease was associated with PM<sub>10</sub>: OR = 2.96 (1.50, 7.15) p.u.i. These results provide new insights into the long-term respiratory health effects of PM air pollution.https://www.mdpi.com/1660-4601/17/7/2540air pollutionparticulate matterlong-term exposurerandom forestquestionnairerespiratory symptoms/diseases |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Salvatore Fasola Sara Maio Sandra Baldacci Stefania La Grutta Giuliana Ferrante Francesco Forastiere Massimo Stafoggia Claudio Gariazzo Giovanni Viegi on behalf of the BEEP Collaborative Group |
spellingShingle |
Salvatore Fasola Sara Maio Sandra Baldacci Stefania La Grutta Giuliana Ferrante Francesco Forastiere Massimo Stafoggia Claudio Gariazzo Giovanni Viegi on behalf of the BEEP Collaborative Group Effects of Particulate Matter on the Incidence of Respiratory Diseases in the Pisan Longitudinal Study International Journal of Environmental Research and Public Health air pollution particulate matter long-term exposure random forest questionnaire respiratory symptoms/diseases |
author_facet |
Salvatore Fasola Sara Maio Sandra Baldacci Stefania La Grutta Giuliana Ferrante Francesco Forastiere Massimo Stafoggia Claudio Gariazzo Giovanni Viegi on behalf of the BEEP Collaborative Group |
author_sort |
Salvatore Fasola |
title |
Effects of Particulate Matter on the Incidence of Respiratory Diseases in the Pisan Longitudinal Study |
title_short |
Effects of Particulate Matter on the Incidence of Respiratory Diseases in the Pisan Longitudinal Study |
title_full |
Effects of Particulate Matter on the Incidence of Respiratory Diseases in the Pisan Longitudinal Study |
title_fullStr |
Effects of Particulate Matter on the Incidence of Respiratory Diseases in the Pisan Longitudinal Study |
title_full_unstemmed |
Effects of Particulate Matter on the Incidence of Respiratory Diseases in the Pisan Longitudinal Study |
title_sort |
effects of particulate matter on the incidence of respiratory diseases in the pisan longitudinal study |
publisher |
MDPI AG |
series |
International Journal of Environmental Research and Public Health |
issn |
1661-7827 1660-4601 |
publishDate |
2020-04-01 |
description |
The current study aimed at assessing the effects of exposure to Particulate Matter (PM) on the incidence of respiratory diseases in a sub-sample of participants in the longitudinal analytical epidemiological study in Pisa, Italy. Three hundred and five subjects living at the same address from 1991 to 2011 were included. Individual risk factors recorded during the 1991 survey were considered, and new cases of respiratory diseases were ascertained until 2011. Average PM<sub>10</sub> and PM<sub>2.5</sub> exposures (µg/m<sup>3</sup>, year 2011) were estimated at the residential address (1-km<sup>2</sup> resolution) through a random forest machine learning approach, using a combination of satellite data and land use variables. Multivariable logistic regression with Firth’s correction was applied. The median (25th–75th percentile) exposure levels were 30.1 µg/m<sup>3</sup> (29.9–30.7 µg/m<sup>3</sup>) for PM<sub>10</sub> and 19.3 µg/m<sup>3</sup> (18.9–19.4 µg/m<sup>3</sup>) for PM<sub>2.5</sub>. Incidences of rhinitis and chronic phlegm were associated with increasing PM<sub>2.5</sub>: OR = 2.25 (95% CI: 1.07, 4.98) per unit increase (p.u.i.) and OR = 4.17 (1.12, 18.71) p.u.i., respectively. Incidence of chronic obstructive pulmonary disease was associated with PM<sub>10</sub>: OR = 2.96 (1.50, 7.15) p.u.i. These results provide new insights into the long-term respiratory health effects of PM air pollution. |
topic |
air pollution particulate matter long-term exposure random forest questionnaire respiratory symptoms/diseases |
url |
https://www.mdpi.com/1660-4601/17/7/2540 |
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