IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i11p2487-d181316.html
   My bibliography  Save this article

Long-Term Effect of Outdoor Air Pollution on Mortality and Morbidity: A 12-Year Follow-Up Study for Metropolitan France

Author

Listed:
  • Shreosi Sanyal

    (Epidemiology of Allergic and Respiratory Diseases Department, IPLESP, Medical School Saint-Antoine, Sorbonne Université and INSERM, F75012 Paris, France)

  • Thierry Rochereau

    (Institute for Research and Documentation in Health Economics, F75019 Paris, France)

  • Cara Nichole Maesano

    (Epidemiology of Allergic and Respiratory Diseases Department, IPLESP, Medical School Saint-Antoine, Sorbonne Université and INSERM, F75012 Paris, France)

  • Laure Com-Ruelle

    (Institute for Research and Documentation in Health Economics, F75019 Paris, France)

  • Isabella Annesi-Maesano

    (Epidemiology of Allergic and Respiratory Diseases Department, IPLESP, Medical School Saint-Antoine, Sorbonne Université and INSERM, F75012 Paris, France)

Abstract

Background: Short-term effects of air pollution are documented more than long-term effects. Objective: We investigated 12-year impacts of ambient air pollutants on cardiovascular and respiratory morbidity and mortality at the departmental level in metropolitan France. Methods: Daily air pollution data at 2-km resolution, including concentrations of particulate matter of 10 µm or 2.5 µm in diameter or less (PM 10 and PM 2.5 ), nitrogen dioxide (NO 2 ), and ozone (O 3 ), were accrued from the CHIMERE database for 1999 and 2000. Simultaneously, morbidity (hospitalizations) and mortality data were collected in 2012 using the ESPS (Enquête Santé et Protection Sociale/Health, Health Care and Insurance Survey) survey data and the CepiDc (Centre d’Épidémiologie sur les Causes Médicales de Décès/French Epidemiology Centre on Medical Causes of Death) database. Based on Poisson regression analyses, the long-term effect was estimated. A higher risk of all-cause mortality was observed using CépiDc database, with a relative risk of 1.024 (95% CI: 1.022, 1.026) and 1.029 (95% CI: 1.027, 1.031) for a 10 µg/m 3 increase in PM 2.5 and PM 10 , respectively. Mortality due to cardiovascular and respiratory diseases likewise exhibited long-term associations with both PM 2.5 and PM 10 . Using ESPS survey data, a significant risk was observed for both PM 2.5 and PM 10 in all-cause mortality and all-cause morbidity. Although a risk for higher all-cause mortality and morbidity was also present for NO 2 , the cause-specific relative risk due to NO 2 was found to be lesser, as compared to PM. Nevertheless, cardiovascular and respiratory morbidity were related to NO 2 , along with PM 2.5 and PM 10 . However, the health effect of O 3 was seen to be substantially lower in comparison to the other pollutants. Conclusion: Our study confirmed that PM has a long-term impact on mortality and morbidity. Exposure to NO 2 and O 3 could also lead to increased health risks.

Suggested Citation

  • Shreosi Sanyal & Thierry Rochereau & Cara Nichole Maesano & Laure Com-Ruelle & Isabella Annesi-Maesano, 2018. "Long-Term Effect of Outdoor Air Pollution on Mortality and Morbidity: A 12-Year Follow-Up Study for Metropolitan France," IJERPH, MDPI, vol. 15(11), pages 1-8, November.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:11:p:2487-:d:181316
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/11/2487/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/15/11/2487/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. N. Künzli & R. Kaiser & S. Medina & M. Studnicka & O. Chanel & P. Filliger & M. Herry & F. Horak & V. Puybonnieux-Texier & Philippe Quénel & Jodi Schneider & R. Seethaler & Jean-Christophe Vergnaud & , 2000. "Public health Impact of Outdoor and Traffic related Air Pollution," Post-Print halshs-00150955, HAL.
    2. Julian Besag & Jeremy York & Annie Mollié, 1991. "Bayesian image restoration, with two applications in spatial statistics," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 43(1), pages 1-20, March.
    3. Håvard Rue & Sara Martino & Nicolas Chopin, 2009. "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(2), pages 319-392, April.
    4. Duncan Lee & Alastair Rushworth & Sujit K. Sahu, 2014. "A Bayesian localized conditional autoregressive model for estimating the health effects of air pollution," Biometrics, The International Biometric Society, vol. 70(2), pages 419-429, June.
    5. P. Filliger & M. Herry & F. Horak & V. Puybonnieux-Texier & P. Quenel & J. Schneider & R.K. Seethaler & J.C. Vernaud & H. Sommer & N. Künzli & R. Kaiser & S. Medina & M. Studnicka & Olivier Chanel, 2000. "Public-health impact of outdoor and traffic-related air pollution: a European assessment," Post-Print hal-01462907, HAL.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Nurulkamal Masseran & Muhammad Aslam Mohd Safari, 2022. "Statistical Modeling on the Severity of Unhealthy Air Pollution Events in Malaysia," Mathematics, MDPI, vol. 10(16), pages 1-15, August.
    2. Ruijing Yu & Chen Zeng & Mingxin Chang & Chanchan Bao & Mingsong Tang & Feng Xiong, 2022. "Effects of Urban Vibrancy on an Urban Eco-Environment: Case Study on Wuhan City," IJERPH, MDPI, vol. 19(6), pages 1-18, March.
    3. Daitao Zhang & Yaohua Tian & Yi Zhang & Yaying Cao & Quanyi Wang & Yonghua Hu, 2019. "Fine Particulate Air Pollution and Hospital Utilization for Upper Respiratory Tract Infections in Beijing, China," IJERPH, MDPI, vol. 16(4), pages 1-9, February.
    4. Van Niekerk, Janet & Krainski, Elias & Rustand, Denis & Rue, Håvard, 2023. "A new avenue for Bayesian inference with INLA," Computational Statistics & Data Analysis, Elsevier, vol. 181(C).
    5. Jian Zhu & Yaming Zhao & Yizhen Gao & Chunyan Li & Liting Zhou & Wen Qi & Yuezhu Zhang & Lin Ye, 2019. "Effects of Different Components of PM 2.5 on the Expression Levels of NF-κB Family Gene mRNA and Inflammatory Molecules in Human Macrophage," IJERPH, MDPI, vol. 16(8), pages 1-16, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lan Hu & Yongwan Chun & Daniel A. Griffith, 2020. "Uncovering a positive and negative spatial autocorrelation mixture pattern: a spatial analysis of breast cancer incidences in Broward County, Florida, 2000–2010," Journal of Geographical Systems, Springer, vol. 22(3), pages 291-308, July.
    2. Meelan Thondoo & David Rojas-Rueda & Joyeeta Gupta & Daniel H. de Vries & Mark J. Nieuwenhuijsen, 2019. "Systematic Literature Review of Health Impact Assessments in Low and Middle-Income Countries," IJERPH, MDPI, vol. 16(11), pages 1-21, June.
    3. Gössling, Stefan, 2016. "Urban transport justice," Journal of Transport Geography, Elsevier, vol. 54(C), pages 1-9.
    4. Mayer Alvo & Jingrui Mu, 2023. "COVID-19 Data Analysis Using Bayesian Models and Nonparametric Geostatistical Models," Mathematics, MDPI, vol. 11(6), pages 1-13, March.
    5. Vanessa Santos-Sánchez & Juan Antonio Córdoba-Doña & Javier García-Pérez & Antonio Escolar-Pujolar & Lucia Pozzi & Rebeca Ramis, 2020. "Cancer Mortality and Deprivation in the Proximity of Polluting Industrial Facilities in an Industrial Region of Spain," IJERPH, MDPI, vol. 17(6), pages 1-15, March.
    6. Massimo Bilancia & Giacomo Demarinis, 2014. "Bayesian scanning of spatial disease rates with integrated nested Laplace approximation (INLA)," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 23(1), pages 71-94, March.
    7. Douglas R. M. Azevedo & Marcos O. Prates & Dipankar Bandyopadhyay, 2021. "MSPOCK: Alleviating Spatial Confounding in Multivariate Disease Mapping Models," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 26(3), pages 464-491, September.
    8. Ying C. MacNab, 2018. "Some recent work on multivariate Gaussian Markov random fields," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(3), pages 497-541, September.
    9. McHenry, Mark, 2009. "Policy options when giving negative externalities market value: Clean energy policymaking and restructuring the Western Australian energy sector," Energy Policy, Elsevier, vol. 37(4), pages 1423-1431, April.
    10. Jonathan Wakefield & Taylor Okonek & Jon Pedersen, 2020. "Small Area Estimation for Disease Prevalence Mapping," International Statistical Review, International Statistical Institute, vol. 88(2), pages 398-418, August.
    11. Julien Riou & Anthony Hauser & Anna Fesser & Christian L. Althaus & Matthias Egger & Garyfallos Konstantinoudis, 2023. "Direct and indirect effects of the COVID-19 pandemic on mortality in Switzerland," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    12. Nam, Kyung-Min & Selin, Noelle E. & Reilly, John M. & Paltsev, Sergey, 2010. "Measuring welfare loss caused by air pollution in Europe: A CGE analysis," Energy Policy, Elsevier, vol. 38(9), pages 5059-5071, September.
    13. Agatz, Niels & Erera, Alan & Savelsbergh, Martin & Wang, Xing, 2012. "Optimization for dynamic ride-sharing: A review," European Journal of Operational Research, Elsevier, vol. 223(2), pages 295-303.
    14. Poudenx, Pascal, 2008. "The effect of transportation policies on energy consumption and greenhouse gas emission from urban passenger transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(6), pages 901-909, July.
    15. Isabel Martínez-Pérez & Verónica González-Iglesias & Valentín Rodríguez Suárez & Ana Fernández-Somoano, 2021. "Spatial Distribution of Hospitalizations for Ischemic Heart Diseases in the Central Region of Asturias, Spain," IJERPH, MDPI, vol. 18(23), pages 1-10, November.
    16. Johnson, Blair T. & Sisti, Anthony & Bernstein, Mary & Chen, Kun & Hennessy, Emily A. & Acabchuk, Rebecca L. & Matos, Michaela, 2021. "Community-level factors and incidence of gun violence in the United States, 2014–2017," Social Science & Medicine, Elsevier, vol. 280(C).
    17. Maike Tahden & Juliane Manitz & Klaus Baumgardt & Gerhard Fell & Thomas Kneib & Guido Hegasy, 2016. "Epidemiological and Ecological Characterization of the EHEC O104:H4 Outbreak in Hamburg, Germany, 2011," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-19, October.
    18. Lars Hein & Pete Roberts & Lucia Gonzalez, 2016. "Valuing a Statistical Life Year in Relation to Clean Air," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 18(04), pages 1-24, December.
    19. Márcio Poletti Laurini, 2017. "A spatial error model with continuous random effects and an application to growth convergence," Journal of Geographical Systems, Springer, vol. 19(4), pages 371-398, October.
    20. Yeran Sun & Amin Mobasheri, 2017. "Utilizing Crowdsourced Data for Studies of Cycling and Air Pollution Exposure: A Case Study Using Strava Data," IJERPH, MDPI, vol. 14(3), pages 1-19, March.

    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:15:y:2018:i:11:p:2487-:d:181316. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.