Abstract: The current study aimed at assessing the eects 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 PM10 and PM 2.5 exposures (microg/m 3 , year 2011) were estimated at the residential address (1-km 2 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 microg/m 3 (29.9-30.7 microg/m 3 ) for PM10 and 19.3 microg/m 3 (18.9-19.4 g/m 3 ) for PM2.5 . Incidences of rhinitis and chronic phlegmwere associated with increasing PM 2.5 : 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 PM10 : 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.

Effects of Particulate Matter on the Incidence of Respiratory Diseases in the Pisan Longitudinal Study

Salvatore Fasola;Sara Maio;Sandra Baldacci;Stefania La Grutta;Francesco Forastiere;
2020

Abstract

Abstract: The current study aimed at assessing the eects 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 PM10 and PM 2.5 exposures (microg/m 3 , year 2011) were estimated at the residential address (1-km 2 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 microg/m 3 (29.9-30.7 microg/m 3 ) for PM10 and 19.3 microg/m 3 (18.9-19.4 g/m 3 ) for PM2.5 . Incidences of rhinitis and chronic phlegmwere associated with increasing PM 2.5 : 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 PM10 : 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.
2020
Istituto di Fisiologia Clinica - IFC
Istituto per la Ricerca e l'Innovazione Biomedica -IRIB
questionnaire;
respiratory symptoms/diseases
incidence
air pollution;
particulate matter;
long-term exposure
random forest;
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Descrizione: Effects of Particulate Matter on the Incidence of Respiratory Diseases in the Pisan Longitudinal Study
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/361218
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