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

Bibliographic Data

ID15466818
AuthorsSalvatore Fasola (0000-0002-5378-5505, Institute for Biomedical Research and Innovation, corresponding author), Sara Maio (0000-0001-6363-8544, Istituto di Fisiologia Clinica), Sandra Baldacci (0000-0002-0651-5182, Istituto di Fisiologia Clinica), Stefania La Grutta (0000-0001-8026-0715, Institute for Biomedical Research and Innovation), Giuliana Ferrante (0000-0001-9917-2387, University of Palermo), Francesco Forastiere (0000-0002-9162-5684, Institute for Biomedical Research and Innovation), Massimo Stafoggia (0000-0003-2843-2908, ASL Roma), Claudio Gariazzo (0000-0003-2287-6364, Istituto Nazionale per l'Assicurazione Contro gli Infortuni sul Lavoro), Giovanni Viegi (0000-0002-1855-4410, Istituto di Fisiologia Clinica)
Year2020
Volume17
Issue7
Pages2540-2540
Publication date2020-04-08
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17072540
PMID32276330
OpenAlexW3015332015
LanguageEN
Citations received4
References cited39

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 10 and PM 2.5 exposures (μg/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 μg/m 3 (29.9-30.7 μg/m 3 ) for PM 10 and 19.3 μg/m 3 (18.9-19.4 μg/m 3 ) for PM 2.5 . Incidences of rhinitis and chronic phlegm were 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 PM 10 : 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

Environmental health · Incidence (geometry · Logistic regression · Percentile · Respiratory system · Statistics · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Medicine · Noise Effects and Management · Epidemiology · Internal Medicine

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Citations per year0.8
Citation span2021 - 2025 (5)
Highly citedNo

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