Literature DB >> 29635092

Time trend in the impact of heat waves on daily mortality in Spain for a period of over thirty years (1983-2013).

J Díaz1, R Carmona2, I J Mirón3, M Y Luna4, C Linares2.   

Abstract

Many of the studies that analyze the future impact of climate change on mortality assume that the temperature that constitutes a heat wave will not change over time. This is unlikely, however, given the process of adapting to heat changes, prevention plans, and improvements in social and health infrastructure. The objective of this study is to analyze whether, during the 1983-2013 period, there has been a temporal change in the maximum daily temperatures that constitute a heat wave (Tthreshold) in Spain, and to investigate whether there has been variation in the attributable risk (AR) associated with mortality due to high temperatures in this period. This study uses daily mortality data for natural causes except accidents CIEX: A00-R99 in municipalities of over 10,000 inhabitants in 10 Spanish provinces and maximum temperature data from observatories located in province capitals. The time series is divided into three periods: 1983-1992, 1993-2003 and 2004-2013. For each period and each province, the value of Tthreshold was calculated using scatter-plot diagram of the daily mortality pre-whitened series. For each period and each province capitals, it has been calculated the number of heat waves and quantifying the impact on mortality through generalized linear model (GLM) methodology with the Poisson regression link. These models permits obtained the relative risks (RR) and attributable risks (AR). Via a meta-analysis, using the Global RR and AR were calculated the heat impact for the total of the 10 provinces. The results show that in the first two periods RR remained constant RR: 1.14 (CI95%: 1.09 1.19) and RR: 1.14 (CI95%: 1.10 1.18), while the third period shows a sharp decrease with respect to the prior two periods RR: 1.01 (CI95%: 1.00 1.01); the difference is statistically significant. In Spain there has been a sharp decrease in mortality attributable to heat over the past 10 years. The observed variation in RR puts into question the results of numerous studies that analyze the future impact of heat on mortality in different temporal scenarios and show it to be constant over time.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Keywords:  Daily mortality; Heat waves; Impact assessment; Prevention plans; Time trend

Mesh:

Year:  2018        PMID: 29635092     DOI: 10.1016/j.envint.2018.04.001

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  5 in total

1.  Differences in the impact of heat waves according to urban and peri-urban factors in Madrid.

Authors:  J A López-Bueno; J Díaz; C Linares
Journal:  Int J Biometeorol       Date:  2019-01-29       Impact factor: 3.787

2.  From single to multivariable exposure models to translate climatic and air pollution effects into mortality risk. A customized application to the city of Rome, Italy.

Authors:  M Michetti; M Adani; A Anav; B Benassi; C Dalmastri; I D'Elia; M Gualtieri; A Piersanti; G Sannino; R Uccelli; G Zanini
Journal:  MethodsX       Date:  2022-05-05

3.  Impacts of exposure to ambient temperature on burden of disease: a systematic review of epidemiological evidence.

Authors:  Jian Cheng; Zhiwei Xu; Hilary Bambrick; Hong Su; Shilu Tong; Wenbiao Hu
Journal:  Int J Biometeorol       Date:  2019-04-22       Impact factor: 3.787

4.  Spatial Variability in the Effect of High Ambient Temperature on Mortality: An Analysis at Municipality Level within the Greater Athens Area.

Authors:  Sofia Zafeiratou; Antonis Analitis; Dimitra Founda; Christos Giannakopoulos; Konstantinos V Varotsos; Panagiotis Sismanidis; Iphigenia Keramitsoglou; Klea Katsouyanni
Journal:  Int J Environ Res Public Health       Date:  2019-09-30       Impact factor: 4.614

5.  Asymmetrical Shift Toward Longer Dry Spells Associated with Warming Temperatures During Russian Summers.

Authors:  Hengchun Ye; Eric J Fetzer
Journal:  Geophys Res Lett       Date:  2019-10-30       Impact factor: 4.720

  5 in total

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