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

Author

Listed:
  • Salvatore Fasola

    (Institute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy)

  • Sara Maio

    (Institute of Clinical Physiology, National Research Council, 56126 Pisa, Italy)

  • Sandra Baldacci

    (Institute of Clinical Physiology, National Research Council, 56126 Pisa, Italy)

  • Stefania La Grutta

    (Institute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy)

  • Giuliana Ferrante

    (Department of Health Promotion Sciences, Maternal and Infant Care, Internal Medicine and Medical Specialities, University of Palermo, 90127 Palermo, Italy)

  • Francesco Forastiere

    (Institute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy)

  • Massimo Stafoggia

    (Department of Epidemiology, Lazio Region Health Service—ASL Roma 1, 00147 Rome, Italy)

  • Claudio Gariazzo

    (Occupational and Environmental Medicine, Epidemiology and Hygiene Department, Italian Workers’ Compensation Authority (INAIL), Monte Porzio Catone, 00144 Rome, Italy)

  • Giovanni Viegi

    (Institute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy
    Institute of Clinical Physiology, National Research Council, 56126 Pisa, Italy)

  • on behalf of the BEEP Collaborative Group

    (Membership of the BEEP Collaborative Group is provided in the Acknowledgments.)

Abstract

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.

Suggested Citation

  • Salvatore Fasola & Sara Maio & Sandra Baldacci & Stefania La Grutta & Giuliana Ferrante & Francesco Forastiere & Massimo Stafoggia & Claudio Gariazzo & Giovanni Viegi & on behalf of the BEEP Collabora, 2020. "Effects of Particulate Matter on the Incidence of Respiratory Diseases in the Pisan Longitudinal Study," IJERPH, MDPI, vol. 17(7), pages 1-13, April.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:7:p:2540-:d:342691
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    References listed on IDEAS

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    1. Dirga Kumar Lamichhane & Jong Han Leem & Hwan Cheol Kim, 2018. "Associations between Ambient Particulate Matter and Nitrogen Dioxide and Chronic Obstructive Pulmonary Diseases in Adults and Effect Modification by Demographic and Lifestyle Factors," IJERPH, MDPI, vol. 15(2), pages 1-14, February.
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