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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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. 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.
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