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Cited by 90Climate Change and Health ImpactsAir Quality and Health ImpactsThermoregulation and physiological responses

The DOI matches its Crossref record; 50 of the 51 references it cites were found in a registry or an index.

Comparison of the effects of extreme temperatures on daily mortality in Madrid (Spain), by age group: The need for a cold wave prevention plan

Díaz, J., Carmona, R., Mirón, I.J., Ortiz, C., Linares, C.·2015·Environmental Research
DOI 10.1016/j.envres.2015.10.018
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Abstract

A number of studies have shown that there is a time trend towards a reduction in the effects of heat on mortality. In the case of cold, however, there is practically no research of this type and so there is no clearly defined time trend of the impact of cold on mortality. Furthermore, no other specific studies have yet analysed the time trend of the impact of both thermal extremes by age group. We analysed data on daily mortality due to natural causes (ICD-10: A00-R99) in the city of Madrid across the period 2001-2009 and calculated the impact of extreme temperatures on mortality using Poisson regression models for specific age groups. The groups of age selected coinciding with the pre-existing age-groups analyzed in previous papers. For heat waves the groups of age used were: <10 years, 10-17 years, 18-44 years, 45-64 years, 65-74 years and over-75 years. For cold waves the groups of age used were: <1 year; 1-5 years, 6-17 years, 18-44 years, 45-64 years, 65-74 years and over-75 years. <1, 1-17, 18-44, 45-66, 65-74 and over-75 years. We controlled for confounding variables, such as air pollution, noise, influenza, pollen, pressure and relative humidity, trend of the series, as well as seasonalities and autoregressive components of the series. The results of these models were compared to those obtained for the same city during the period 1986-1997 and published in different studies. Our results show a lightly reduction in the effects of heat, especially in the over-45-year age group. In the case of cold, the behaviour pattern was the opposite, with an increase in its effect. Heat adaptation and socio-economic and public-health prevention and action measures may be behind this amelioration in the effects of heat, whereas the absence of such actions in respect of low temperatures may account for the increase in the effects of cold on mortality. From a public health point of view, the implementation of cold wave prevention plans covering all age groups is thus called for.

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Research works printed but not linked: 1

  1. Coste, 1991, Le proportion de cas attributable en Santé Publique: definition(s), estimation(s) et interpretation, Rev. Epidemiol. Santé Publique, 51, 399

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Metadata

Authors
Díaz, J., Carmona, R., Mirón, I. J., Ortiz, C., & Linares, C.
Affiliations
Instituto de Salud Carlos III (ES)
Corresponding author
Díaz, J.
ORCID
Venue
Environmental Research
Publisher
Elsevier BV
Published
2015-11
Volume
143
Issue
Pt A
Pages
186-191
ISSN
0013-9351 (ISSN-L)
DOI
10.1016/j.envres.2015.10.018
OpenAlex
W2180978600
Cited by
90
References
51
Citations by year
2026: 4 · 2025: 5 · 2024: 12 · 2023: 10 · 2022: 8 · 2021: 12 · 2020: 6 · 2019: 10 · 2018: 9 · 2017: 5 · 2016: 7 · 2015: 2
FWCI
4.81
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Environmental Research (publishedVersion)
  • PubMed (publishedVersion)
Funders
Carlos III Institute of Health (ENPY1001/13)
Topics
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Climate Change and Health Impacts
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
  • Health Sciences › Medicine › Physiology (medical) › Thermoregulation and physiological responses
Keywords
extreme cold, extreme heat, daily mortality, age groups, temporal trends, heat adaptation, Madrid, public health measures
MeSH terms
Adaptation, Physiological, Adolescent, Adult, Age Factors, Aged, Child, Cities, Health Plan Implementation, Humans, Middle Aged, Mortality, Public Health, Socioeconomic Factors, Spain, Urban Population, Confounding Factors, Epidemiologic, Poisson Distribution, Young Adult, Extreme Cold, Extreme Heat

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