IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v13y2016i10p947-d78789.html
   My bibliography  Save this article

Effects of Particulate Matter and Its Chemical Constituents on Elderly Hospital Admissions Due to Circulatory and Respiratory Diseases

Author

Listed:
  • Tatiane Morais Ferreira

    (Pos-Graduate Program in Environmental Science, University of São Paulo, São Paulo SP 05508-010, Brazil)

  • Maria Cristina Forti

    (Center of Earth System Science, National Institute for Space Research, São José dos Campos SP 12227-010, Brazil)

  • Clarice Umbelino De Freitas

    (Department of Preventive Medicine, School of Medicine, University of São Paulo, São Paulo SP 01246-903, Brazil)

  • Felipe Parra Nascimento

    (Department of Preventive Medicine, School of Medicine, University of São Paulo, São Paulo SP 01246-903, Brazil)

  • Washington Leite Junger

    (Department of Epidemiology, Institute of Social Medicine, State University of Rio de Janeiro, Rio de Janeiro RJ 20550-900, Brazil)

  • Nelson Gouveia

    (Department of Preventive Medicine, School of Medicine, University of São Paulo, São Paulo SP 01246-903, Brazil)

Abstract

Various fractions of particulate matter have been associated with increased mortality and morbidity. The purpose of our study is to analyze the associations between concentrations of PM 2.5 , PM 2.5–10 , PM 10 and their chemical constituents (soluble ions) with hospital admissions due to circulatory and respiratory diseases among the elderly in a medium-sized city in Brazil. A time series study was conducted using Poisson regression with generalized additive models adjusted for confounders. Statistically significant associations were identified between PM 10 and PM 2.5–10 and respiratory diseases. Risks of hospitalization increased by 23.5% (95% CI: 13.5; 34.3) and 12.8% (95% CI: 6.0; 20.0) per 10 μg/m 3 of PM 2.5-10 and PM 10 , respectively. PM 2.5 exhibited a significant association with circulatory system diseases, with the risk of hospitalization increasing by 19.6% (95% CI: 6.4; 34.6) per 10 μg/m 3 . Regarding the chemical species; SO 4 2− , NO 3 − , NH 4 + and K + exhibited specific patterns of risk, relative to the investigated outcomes. Overall, SO 4 2− in PM 2.5–10 and K + in PM 2.5 were associated with increased risk of hospital admissions due to both types of diseases. The results agree with evidence indicating that the risks for different health outcomes vary in relation to the fractions and chemical composition of PM 10 . Thus, PM 10 speciation studies may contribute to the establishment of more selective pollution control policies.

Suggested Citation

  • Tatiane Morais Ferreira & Maria Cristina Forti & Clarice Umbelino De Freitas & Felipe Parra Nascimento & Washington Leite Junger & Nelson Gouveia, 2016. "Effects of Particulate Matter and Its Chemical Constituents on Elderly Hospital Admissions Due to Circulatory and Respiratory Diseases," IJERPH, MDPI, vol. 13(10), pages 1-11, September.
  • Handle: RePEc:gam:jijerp:v:13:y:2016:i:10:p:947-:d:78789
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/13/10/947/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/13/10/947/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Salvatore Fasola & Sara Maio & Sandra Baldacci & Stefania La Grutta & Giuliana Ferrante & Francesco Forastiere & Massimo Stafoggia & Claudio Gariazzo & Camillo Silibello & Giuseppe Carlino & Giovanni , 2021. "Short-Term Effects of Air Pollution on Cardiovascular Hospitalizations in the Pisan Longitudinal Study," IJERPH, MDPI, vol. 18(3), pages 1-17, January.
    2. Luciana Leirião & Michelle de Oliveira & Tiago Martins & Simone Miraglia, 2023. "A Multi-Pollutant and Meteorological Analysis of Cardiorespiratory Mortality among the Elderly in São Paulo, Brazil—An Artificial Neural Networks Approach," IJERPH, MDPI, vol. 20(8), pages 1-23, April.
    3. Muhammad Abu-Elmagd & Mansour A. Alghamdi & Magdy Shamy & Mamdouh I. Khoder & Max Costa & Mourad Assidi & Roaa Kadam & Haneen Alsehli & Mamdooh Gari & Peter Natesan Pushparaj & Gauthaman Kalamegam & M, 2017. "Evaluation of the Effects of Airborne Particulate Matter on Bone Marrow-Mesenchymal Stem Cells (BM-MSCs): Cellular, Molecular and Systems Biological Approaches," IJERPH, MDPI, vol. 14(4), pages 1-14, April.
    4. Suganthi Jaganathan & Lindsay M. Jaacks & Melina Magsumbol & Gagandeep K. Walia & Nancy L. Sieber & Roopa Shivasankar & Preet K. Dhillon & Safraj Shahul Hameed & Joel Schwartz & Dorairaj Prabhakaran, 2019. "Association of Long-Term Exposure to Fine Particulate Matter and Cardio-Metabolic Diseases in Low- and Middle-Income Countries: A Systematic Review," IJERPH, MDPI, vol. 16(14), pages 1-18, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:13:y:2016:i:10:p:947-:d:78789. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.