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Mortality Related to Cold Temperatures in Two Capitals of the Baltics: Tallinn and Riga
Background and objectives: Despite global warming, the climate in Northern Europe is generally cold, and the large number of deaths due to non-optimal temperatures is likely due to cold temperatures. The aim of the current study is to investigate the association between cold temperatures and all-cau...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6723676/ https://www.ncbi.nlm.nih.gov/pubmed/31382432 http://dx.doi.org/10.3390/medicina55080429 |
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author | Åström, Daniel Oudin Veber, Triin Martinsone, Žanna Kaļužnaja, Darja Indermitte, Ene Oudin, Anna Orru, Hans |
author_facet | Åström, Daniel Oudin Veber, Triin Martinsone, Žanna Kaļužnaja, Darja Indermitte, Ene Oudin, Anna Orru, Hans |
author_sort | Åström, Daniel Oudin |
collection | PubMed |
description | Background and objectives: Despite global warming, the climate in Northern Europe is generally cold, and the large number of deaths due to non-optimal temperatures is likely due to cold temperatures. The aim of the current study is to investigate the association between cold temperatures and all-cause mortality, as well as cause-specific mortality, in Tallinn and Riga in North-Eastern Europe. Materials and Methods: We used daily information on deaths from state death registries and minimum temperatures from November to March over the period 1997–2015 in Tallinn and 2009–2015 in Riga. The relationship between the daily minimum temperature and mortality was investigated using the Poisson regression, combined with a distributed lag non-linear model considering lag times of up to 21 days. Results: We found significantly higher all-cause mortality owing to cold temperatures both in Tallinn (Relative Risk (RR) = 1.28, 95% Confidence Interval (CI) 1.01–1.62) and in Riga (RR = 1.41, 95% CI 1.11–1.79). In addition, significantly increased mortality due to cold temperatures was observed in the 75+ age group (RR = 1.64, 95% CI 1.17–2.31) and in cardiovascular mortality (RR = 1.83, 95% CI 1.31–2.55) in Tallinn and in the under 75 age group in Riga (RR = 1.58, 95% CI 1.12–2.22). In this study, we found no statistically significant relationship between mortality due to respiratory or external causes and cold days. The cold-related attributable fraction (AF) was 7.4% (95% CI -3.7–17.5) in Tallinn and 8.3% (95% CI -0.5–16.3) in Riga. This indicates that a relatively large proportion of deaths in cold periods can be related to cold in North-Eastern Europe, where winters are relatively harsh. |
format | Online Article Text |
id | pubmed-6723676 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67236762019-09-10 Mortality Related to Cold Temperatures in Two Capitals of the Baltics: Tallinn and Riga Åström, Daniel Oudin Veber, Triin Martinsone, Žanna Kaļužnaja, Darja Indermitte, Ene Oudin, Anna Orru, Hans Medicina (Kaunas) Article Background and objectives: Despite global warming, the climate in Northern Europe is generally cold, and the large number of deaths due to non-optimal temperatures is likely due to cold temperatures. The aim of the current study is to investigate the association between cold temperatures and all-cause mortality, as well as cause-specific mortality, in Tallinn and Riga in North-Eastern Europe. Materials and Methods: We used daily information on deaths from state death registries and minimum temperatures from November to March over the period 1997–2015 in Tallinn and 2009–2015 in Riga. The relationship between the daily minimum temperature and mortality was investigated using the Poisson regression, combined with a distributed lag non-linear model considering lag times of up to 21 days. Results: We found significantly higher all-cause mortality owing to cold temperatures both in Tallinn (Relative Risk (RR) = 1.28, 95% Confidence Interval (CI) 1.01–1.62) and in Riga (RR = 1.41, 95% CI 1.11–1.79). In addition, significantly increased mortality due to cold temperatures was observed in the 75+ age group (RR = 1.64, 95% CI 1.17–2.31) and in cardiovascular mortality (RR = 1.83, 95% CI 1.31–2.55) in Tallinn and in the under 75 age group in Riga (RR = 1.58, 95% CI 1.12–2.22). In this study, we found no statistically significant relationship between mortality due to respiratory or external causes and cold days. The cold-related attributable fraction (AF) was 7.4% (95% CI -3.7–17.5) in Tallinn and 8.3% (95% CI -0.5–16.3) in Riga. This indicates that a relatively large proportion of deaths in cold periods can be related to cold in North-Eastern Europe, where winters are relatively harsh. MDPI 2019-08-02 /pmc/articles/PMC6723676/ /pubmed/31382432 http://dx.doi.org/10.3390/medicina55080429 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Åström, Daniel Oudin Veber, Triin Martinsone, Žanna Kaļužnaja, Darja Indermitte, Ene Oudin, Anna Orru, Hans Mortality Related to Cold Temperatures in Two Capitals of the Baltics: Tallinn and Riga |
title | Mortality Related to Cold Temperatures in Two Capitals of the Baltics: Tallinn and Riga |
title_full | Mortality Related to Cold Temperatures in Two Capitals of the Baltics: Tallinn and Riga |
title_fullStr | Mortality Related to Cold Temperatures in Two Capitals of the Baltics: Tallinn and Riga |
title_full_unstemmed | Mortality Related to Cold Temperatures in Two Capitals of the Baltics: Tallinn and Riga |
title_short | Mortality Related to Cold Temperatures in Two Capitals of the Baltics: Tallinn and Riga |
title_sort | mortality related to cold temperatures in two capitals of the baltics: tallinn and riga |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6723676/ https://www.ncbi.nlm.nih.gov/pubmed/31382432 http://dx.doi.org/10.3390/medicina55080429 |
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