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Mortality from cold waves in Castile--La Mancha, Spain.

Identifieur interne : 000477 ( Main/Exploration ); précédent : 000476; suivant : 000478

Mortality from cold waves in Castile--La Mancha, Spain.

Auteurs : J C Montero [Espagne] ; I J Mir N ; J J Criado-Álvarez ; C. Linares ; J. Díaz

Source :

RBID : pubmed:20833411

Descripteurs français

English descriptors

Abstract

INTRODUCTION

As is known, the effects of extreme temperatures on mortality are characterised by an annual periodicity, with a rise centred in the winter months. The most recent epidemiological studies show that mortality caused by cold waves is, in many cases, comparable to that caused by the severest heat waves. This study sought to quantify the rise in mortality due to extreme cold and the factors that determine the relationship between these variables in Castile-La Mancha (Spain).

METHODS

We examined the effect of extreme winter temperature on daily non accidental cause mortality in Castile - La Mancha from 1975 to 2003, for all ages. Quantitative analyses were performed using ARIMA models, with other covariates, such as influenza, pressure trends, relative humidity, and cold wave duration and chronological number.

RESULTS

There were two mortality peaks: a short-term peak (with a lag of 3 to 7 days); and a longer term peak (of under two weeks). Excess mortality during cold waves was around 10% per degree centigrade below the threshold temperature for all the provinces except Guadalajara, where an increase of only 4.61% was detected. Mortality increased in response to rises in cold-wave duration and relative humidity. Cold waves occurring at the end of the "winter" season caused the greatest mortality.

CONCLUSIONS

This study confirms that daily mortality in Castile - La Mancha increases during cold waves. Efficient cold-wave prevention plans must therefore be implemented. Such plans should be based on in-depth knowledge of the causes that underlie and modulate the relationship between low temperatures and health effects.


DOI: 10.1016/j.scitotenv.2010.07.086
PubMed: 20833411


Affiliations:


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Le document en format XML

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<nlm:affiliation>Health Sciences Institute, Castile-La Mancha Regional Health & Social Welfare Authority, Talavera de la Reina, Toledo, Spain. jcmontero@jccm.es</nlm:affiliation>
<country xml:lang="fr">Espagne</country>
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<name sortKey="Criado Lvarez, J J" sort="Criado Lvarez, J J" uniqKey="Criado Lvarez J" first="J J" last="Criado-Álvarez">J J Criado-Álvarez</name>
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<term>Basse température (effets indésirables)</term>
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<b>INTRODUCTION</b>
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<p>As is known, the effects of extreme temperatures on mortality are characterised by an annual periodicity, with a rise centred in the winter months. The most recent epidemiological studies show that mortality caused by cold waves is, in many cases, comparable to that caused by the severest heat waves. This study sought to quantify the rise in mortality due to extreme cold and the factors that determine the relationship between these variables in Castile-La Mancha (Spain).</p>
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<b>METHODS</b>
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<p>We examined the effect of extreme winter temperature on daily non accidental cause mortality in Castile - La Mancha from 1975 to 2003, for all ages. Quantitative analyses were performed using ARIMA models, with other covariates, such as influenza, pressure trends, relative humidity, and cold wave duration and chronological number.</p>
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<b>RESULTS</b>
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<p>There were two mortality peaks: a short-term peak (with a lag of 3 to 7 days); and a longer term peak (of under two weeks). Excess mortality during cold waves was around 10% per degree centigrade below the threshold temperature for all the provinces except Guadalajara, where an increase of only 4.61% was detected. Mortality increased in response to rises in cold-wave duration and relative humidity. Cold waves occurring at the end of the "winter" season caused the greatest mortality.</p>
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<p>This study confirms that daily mortality in Castile - La Mancha increases during cold waves. Efficient cold-wave prevention plans must therefore be implemented. Such plans should be based on in-depth knowledge of the causes that underlie and modulate the relationship between low temperatures and health effects.</p>
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