IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i7p2553-d342913.html
   My bibliography  Save this article

Spatial Variability of Heat-Related Mortality in Barcelona from 1992–2015: A Case Crossover Study Design

Author

Listed:
  • Vijendra Ingole

    (Barcelona Institute for Global Health (ISGlobal), Barcelona 08003, Spain
    Climate and Health Program (CLIMA), Barcelona Institute for Global Health (ISGlobal), Barcelona 08003, Spain)

  • Marc Marí-Dell’Olmo

    (Agència de Salut Pública de Barcelona (ASPB), Barcelona 08023, Spain
    Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona 08041, Spain
    Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain)

  • Anna Deluca

    (Barcelona Institute for Global Health (ISGlobal), Barcelona 08003, Spain
    Climate and Health Program (CLIMA), Barcelona Institute for Global Health (ISGlobal), Barcelona 08003, Spain)

  • Marcos Quijal

    (Barcelona Institute for Global Health (ISGlobal), Barcelona 08003, Spain
    Climate and Health Program (CLIMA), Barcelona Institute for Global Health (ISGlobal), Barcelona 08003, Spain
    Agència de Salut Pública de Barcelona (ASPB), Barcelona 08023, Spain
    Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona 08041, Spain)

  • Carme Borrell

    (Agència de Salut Pública de Barcelona (ASPB), Barcelona 08023, Spain
    Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona 08041, Spain
    Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain
    Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain)

  • Maica Rodríguez-Sanz

    (Agència de Salut Pública de Barcelona (ASPB), Barcelona 08023, Spain
    Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona 08041, Spain
    Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain
    Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain)

  • Hicham Achebak

    (Climate and Health Program (CLIMA), Barcelona Institute for Global Health (ISGlobal), Barcelona 08003, Spain
    Centre for Demographic Studies (CED), Autonomous University of Barcelona, Barcelona 08193, Spain)

  • Dirk Lauwaet

    (Environmental Modelling Department, Flemish Institute for Technological Research (VITO), Mol 2400, Belgium)

  • Joan Gilabert

    (PCOT, Cartographic and Geological Institute of Catalonia (ICGC), Barcelona 08038, Spain jgilabert@meteo.ub.edu)

  • Peninah Murage

    (Public Health, Environments and Society, London School of Hygiene and Tropical Medicine, London WC1H 9SH, UK)

  • Shakoor Hajat

    (Public Health, Environments and Society, London School of Hygiene and Tropical Medicine, London WC1H 9SH, UK)

  • Xavier Basagaña

    (Barcelona Institute for Global Health (ISGlobal), Barcelona 08003, Spain
    Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain
    Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain)

  • Joan Ballester

    (Barcelona Institute for Global Health (ISGlobal), Barcelona 08003, Spain
    Climate and Health Program (CLIMA), Barcelona Institute for Global Health (ISGlobal), Barcelona 08003, Spain)

Abstract

Numerous studies have demonstrated the relationship between summer temperatures and increased heat-related deaths. Epidemiological analyses of the health effects of climate exposures usually rely on observations from the nearest weather station to assess exposure-response associations for geographically diverse populations. Urban climate models provide high-resolution spatial data that may potentially improve exposure estimates, but to date, they have not been extensively applied in epidemiological research. We investigated temperature-mortality relationships in the city of Barcelona, and whether estimates vary among districts. We considered georeferenced individual (natural) mortality data during the summer months (June–September) for the period 1992–2015. We extracted daily summer mean temperatures from a 100-m resolution simulation of the urban climate model (UrbClim). Summer hot days (above percentile 70) and reference (below percentile 30) temperatures were compared by using a conditional logistic regression model in a case crossover study design applied to all districts of Barcelona. Relative Risks (RR), and 95% Confidence Intervals (CI), of all-cause (natural) mortality and summer temperature were calculated for several population subgroups (age, sex and education level by districts). Hot days were associated with an increased risk of death (RR = 1.13; 95% CI = 1.10–1.16) and were significant in all population subgroups compared to the non-hot days. The risk ratio was higher among women (RR = 1.16; 95% CI= 1.12–1.21) and the elderly (RR = 1.18; 95% CI = 1.13–1.22). Individuals with primary education had similar risk (RR = 1.13; 95% CI = 1.08–1.18) than those without education (RR = 1.10; 95% CI= 1.05–1.15). Moreover, 6 out of 10 districts showed statistically significant associations, varying the risk ratio between 1.12 (95% CI = 1.03–1.21) in Sants-Montjuïc and 1.25 (95% CI = 1.14–1.38) in Sant Andreu. Findings identified vulnerable districts and suggested new insights to public health policy makers on how to develop district-specific strategies to reduce risks.

Suggested Citation

  • Vijendra Ingole & Marc Marí-Dell’Olmo & Anna Deluca & Marcos Quijal & Carme Borrell & Maica Rodríguez-Sanz & Hicham Achebak & Dirk Lauwaet & Joan Gilabert & Peninah Murage & Shakoor Hajat & Xavier Bas, 2020. "Spatial Variability of Heat-Related Mortality in Barcelona from 1992–2015: A Case Crossover Study Design," IJERPH, MDPI, vol. 17(7), pages 1-13, April.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:7:p:2553-:d:342913
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/7/2553/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/7/2553/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Smoyer, Karen E., 1998. "Putting risk in its place: methodological considerations for investigating extreme event health risk," Social Science & Medicine, Elsevier, vol. 47(11), pages 1809-1824, December.
    2. Madrigano, J. & McCormick, S. & Kinney, P.L., 2015. "The two ways of assessing heat-related mortality and vulnerability," American Journal of Public Health, American Public Health Association, vol. 105(11), pages 2212-2213.
    3. M. J. Heaton & C. R. Olenick & O. Wilhelmi, 2019. "Age‐specific distributed lag models for heat ‐ related mortality," Environmetrics, John Wiley & Sons, Ltd., vol. 30(7), November.
    4. Mendelsohn, Robert & Dinar, Ariel & Williams, Larry, 2006. "The distributional impact of climate change on rich and poor countries," Environment and Development Economics, Cambridge University Press, vol. 11(2), pages 159-178, April.
    Full references (including those not matched with items on IDEAS)

    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. Reynolds, Travis & Kolodinsky, Jane & Murray, Byron, 2012. "Consumer preferences and willingness to pay for compact fluorescent lighting: Policy implications for energy efficiency promotion in Saint Lucia," Energy Policy, Elsevier, vol. 41(C), pages 712-722.
    2. Mofoluwawo Esther Omoniyi, 2020. "Sensitizing Nigerian Citizens on the Effects of Climate Change: Challenges for Social Studies Curriculum Planners and Implementers," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 4(9), pages 699-703, September.
    3. Alejandro Lopez-Feldman, 2013. "Climate change, agriculture, and poverty: A household level analysis for rural Mexico," Economics Bulletin, AccessEcon, vol. 33(2), pages 1126-1139.
    4. Nicole A. MATHYS & Jaime DE MELO, 2010. "Trade and Climate Change: The Challenges Ahead," Working Papers P14, FERDI.
    5. Matthias Schmidt & Hermann Held & Elmar Kriegler & Alexander Lorenz, 2013. "Climate Policy Under Uncertain and Heterogeneous Climate Damages," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(1), pages 79-99, January.
    6. Robert J. R. Elliott & Ingmar Schumacher & Cees Withagen, 2020. "Suggestions for a Covid-19 Post-Pandemic Research Agenda in Environmental Economics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 1187-1213, August.
    7. David Klenert & Franziska Funke & Linus Mattauch & Brian O’Callaghan, 2020. "Five Lessons from COVID-19 for Advancing Climate Change Mitigation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 751-778, August.
    8. Jonghyun Yoo & Robert Mendelsohn, 2018. "Sensitivity Of Mitigation To The Optimal Global Temperature: An Experiment With Dice," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 9(02), pages 1-8, May.
    9. Nicolas Taconet & Aurélie Méjean & Céline Guivarch, 2020. "Influence of climate change impacts and mitigation costs on inequality between countries," Climatic Change, Springer, vol. 160(1), pages 15-34, May.
    10. Channing Arndt & Felix Asante & James Thurlow, 2015. "Implications of Climate Change for Ghana’s Economy," Sustainability, MDPI, vol. 7(6), pages 1-18, June.
    11. Jawid, Asadullah & Khadjavi, Menusch, 2019. "Adaptation to climate change in Afghanistan: Evidence on the impact of external interventions," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 64-82.
    12. Karine Constant & Marion Davin, 2019. "Unequal Vulnerability to Climate Change and the Transmission of Adverse Effects Through International Trade," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 727-759, October.
    13. Keim, Jan & Müller, Susan & Dey, Pascal, 2024. "Whatever the problem, entrepreneurship is the solution! Confronting the panacea myth of entrepreneurship with structural injustice," Journal of Business Venturing Insights, Elsevier, vol. 21(C).
    14. Don Fullerton, 2011. "Six Distributional Effects of Environmental Policy," Risk Analysis, John Wiley & Sons, vol. 31(6), pages 923-929, June.
    15. Millner, Antony & Dietz, Simon, 2015. "Adaptation to climate change and economic growth in developing countries," Environment and Development Economics, Cambridge University Press, vol. 20(3), pages 380-406, June.
    16. Jaime de Melo & Nicole A. Mathys, 2012. "Concilier les politiques commerciales et les politiques climatiques," Revue d’économie du développement, De Boeck Université, vol. 20(2), pages 57-81.
    17. Susan Williams & Peng Bi & Jonathan Newbury & Guy Robinson & Dino Pisaniello & Arthur Saniotis & Alana Hansen, 2013. "Extreme Heat and Health: Perspectives from Health Service Providers in Rural and Remote Communities in South Australia," IJERPH, MDPI, vol. 10(11), pages 1-19, October.
    18. Simon Gosling & Jason Lowe & Glenn McGregor & Mark Pelling & Bruce Malamud, 2009. "Associations between elevated atmospheric temperature and human mortality: a critical review of the literature," Climatic Change, Springer, vol. 92(3), pages 299-341, February.
    19. Avri Eitan, 2021. "Promoting Renewable Energy to Cope with Climate Change—Policy Discourse in Israel," Sustainability, MDPI, vol. 13(6), pages 1-17, March.
    20. Songhee Han & Hannah Jun, 2023. "Growth, emissions, and climate finance nexus for sustainable development: Revisiting the environmental Kuznets curve," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(1), pages 510-527, February.

    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:17:y:2020:i:7:p:2553-:d:342913. 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.