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Global climate change: impact of heat waves under different definitions on daily mortality in Wuhan, China

BACKGROUND: There was no consistent definition for heat wave worldwide, while a limited number of studies have compared the mortality effect of heat wave as defined differently. This paper aimed to provide epidemiological evidence for policy makers to determine the most appropriate definition for lo...

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Autores principales: Zhang, Yunquan, Feng, Renjie, Wu, Ran, Zhong, Peirong, Tan, Xiaodong, Wu, Kai, Ma, Lu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683448/
https://www.ncbi.nlm.nih.gov/pubmed/29202078
http://dx.doi.org/10.1186/s41256-017-0030-2
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author Zhang, Yunquan
Feng, Renjie
Wu, Ran
Zhong, Peirong
Tan, Xiaodong
Wu, Kai
Ma, Lu
author_facet Zhang, Yunquan
Feng, Renjie
Wu, Ran
Zhong, Peirong
Tan, Xiaodong
Wu, Kai
Ma, Lu
author_sort Zhang, Yunquan
collection PubMed
description BACKGROUND: There was no consistent definition for heat wave worldwide, while a limited number of studies have compared the mortality effect of heat wave as defined differently. This paper aimed to provide epidemiological evidence for policy makers to determine the most appropriate definition for local heat wave warning systems. METHODS: We developed 45 heat wave definitions (HWs) combining temperature indicators and temperature thresholds with durations. We then assessed the impact of heat waves under various definitions on non-accidental mortality in hot season (May–September) in Wuhan, China during 2003–2010. RESULTS: Heat waves defined by HW14 (daily mean temperature ≥ 99.0th percentile and duration ≥ 3 days) had the best predictive ability in assessing the mortality effects of heat wave with the relative risk of 1.63 (95% CI: 1.43, 1.89) for total mortality. The group-specific mortality risk using official heat wave definition of Chinese Meteorological Administration was much smaller than that using HW14. We also found that women, and the elderly (age ≥ 65) were more susceptible to heat wave effects which were stronger and longer lasting. CONCLUSION: These findings suggest that region specific heat wave definitions are crucial and necessary for developing efficient local heat warning systems and for providing evidence for policy makers to protect the vulnerable population. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s41256-017-0030-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-56834482017-11-30 Global climate change: impact of heat waves under different definitions on daily mortality in Wuhan, China Zhang, Yunquan Feng, Renjie Wu, Ran Zhong, Peirong Tan, Xiaodong Wu, Kai Ma, Lu Glob Health Res Policy Research BACKGROUND: There was no consistent definition for heat wave worldwide, while a limited number of studies have compared the mortality effect of heat wave as defined differently. This paper aimed to provide epidemiological evidence for policy makers to determine the most appropriate definition for local heat wave warning systems. METHODS: We developed 45 heat wave definitions (HWs) combining temperature indicators and temperature thresholds with durations. We then assessed the impact of heat waves under various definitions on non-accidental mortality in hot season (May–September) in Wuhan, China during 2003–2010. RESULTS: Heat waves defined by HW14 (daily mean temperature ≥ 99.0th percentile and duration ≥ 3 days) had the best predictive ability in assessing the mortality effects of heat wave with the relative risk of 1.63 (95% CI: 1.43, 1.89) for total mortality. The group-specific mortality risk using official heat wave definition of Chinese Meteorological Administration was much smaller than that using HW14. We also found that women, and the elderly (age ≥ 65) were more susceptible to heat wave effects which were stronger and longer lasting. CONCLUSION: These findings suggest that region specific heat wave definitions are crucial and necessary for developing efficient local heat warning systems and for providing evidence for policy makers to protect the vulnerable population. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s41256-017-0030-2) contains supplementary material, which is available to authorized users. BioMed Central 2017-04-05 /pmc/articles/PMC5683448/ /pubmed/29202078 http://dx.doi.org/10.1186/s41256-017-0030-2 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Zhang, Yunquan
Feng, Renjie
Wu, Ran
Zhong, Peirong
Tan, Xiaodong
Wu, Kai
Ma, Lu
Global climate change: impact of heat waves under different definitions on daily mortality in Wuhan, China
title Global climate change: impact of heat waves under different definitions on daily mortality in Wuhan, China
title_full Global climate change: impact of heat waves under different definitions on daily mortality in Wuhan, China
title_fullStr Global climate change: impact of heat waves under different definitions on daily mortality in Wuhan, China
title_full_unstemmed Global climate change: impact of heat waves under different definitions on daily mortality in Wuhan, China
title_short Global climate change: impact of heat waves under different definitions on daily mortality in Wuhan, China
title_sort global climate change: impact of heat waves under different definitions on daily mortality in wuhan, china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683448/
https://www.ncbi.nlm.nih.gov/pubmed/29202078
http://dx.doi.org/10.1186/s41256-017-0030-2
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