Temperature variability and mortality

A multi-country study

Yuming Guo, Antonio Gasparrini, Ben G. Armstrong, Benjawan Tawatsupa, Aurelio Tobias, Eric Lavigne, Micheline de Sousa Zanotti Stagliorio Coelho, Xiaochuan Pan, Ho Hyun Kim, Masahiro Hashizume, Yasushi Honda, Yue Liang Leon Guo, Chang Fu Wu, Antonella Zanobetti, Joel D. Schwartz, Michelle L. Bell, Ala Overcenco, Kornwipa Punnasiri, Shanshan Li, Linwei Tian & 3 others Paulo Hilario Nascimento Saldiva, Gail Williams, Shilu Tong

Research output: Contribution to journalArticleResearchpeer-review

54 Citations (Scopus)

Abstract

Background: The evidence and method are limited for the associations between mortality and temperature variability (TV) within or between days. Objectives: We developed a novel method to calculate TV and investigated TV-mortality associations using a large multicountry data set. Methods: We collected daily data for temperature and mortality from 372 locations in 12 countries/regions (Australia, Brazil, Canada, China, Japan, Moldova, South Korea, Spain, Taiwan, Thailand, the United Kingdom, and the United States). We calculated TV from the standard deviation of the minimum and maximum temperatures during the exposure days. Two-stage analyses were used to assess the relationship between TV and mortality. In the first stage, a Poisson regression model allowing over-dispersion was used to estimate the community-specific TV-mortality relationship, after controlling for potential confounders. In the second stage, a meta-analysis was used to pool the effect estimates within each country. Results: There was a significant association between TV and mortality in all countries, even after controlling for the effects of daily mean temperature. In stratified analyses, TV was still significantly associated with mortality in cold, hot, and moderate seasons. Mortality risks related to TV were higher in hot areas than in cold areas when using short TV exposures (0–1 days), whereas TV-related mortality risks were higher in moderate areas than in cold and hot areas when using longer TV exposures (0–7 days). Conclusions: The results indicate that more attention should be paid to unstable weather conditions in order to protect health. These findings may have implications for developing public health policies to manage health risks of climate change.

Original languageEnglish
Pages (from-to)1554-1559
Number of pages6
JournalEnvironmental Health Perspectives
Volume124
Issue number10
DOIs
Publication statusPublished - 1 Oct 2016
Externally publishedYes

Cite this

Guo, Y., Gasparrini, A., Armstrong, B. G., Tawatsupa, B., Tobias, A., Lavigne, E., ... Tong, S. (2016). Temperature variability and mortality: A multi-country study. Environmental Health Perspectives, 124(10), 1554-1559. https://doi.org/10.1289/EHP149
Guo, Yuming ; Gasparrini, Antonio ; Armstrong, Ben G. ; Tawatsupa, Benjawan ; Tobias, Aurelio ; Lavigne, Eric ; Zanotti Stagliorio Coelho, Micheline de Sousa ; Pan, Xiaochuan ; Kim, Ho Hyun ; Hashizume, Masahiro ; Honda, Yasushi ; Guo, Yue Liang Leon ; Wu, Chang Fu ; Zanobetti, Antonella ; Schwartz, Joel D. ; Bell, Michelle L. ; Overcenco, Ala ; Punnasiri, Kornwipa ; Li, Shanshan ; Tian, Linwei ; Saldiva, Paulo Hilario Nascimento ; Williams, Gail ; Tong, Shilu. / Temperature variability and mortality : A multi-country study. In: Environmental Health Perspectives. 2016 ; Vol. 124, No. 10. pp. 1554-1559.
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title = "Temperature variability and mortality: A multi-country study",
abstract = "Background: The evidence and method are limited for the associations between mortality and temperature variability (TV) within or between days. Objectives: We developed a novel method to calculate TV and investigated TV-mortality associations using a large multicountry data set. Methods: We collected daily data for temperature and mortality from 372 locations in 12 countries/regions (Australia, Brazil, Canada, China, Japan, Moldova, South Korea, Spain, Taiwan, Thailand, the United Kingdom, and the United States). We calculated TV from the standard deviation of the minimum and maximum temperatures during the exposure days. Two-stage analyses were used to assess the relationship between TV and mortality. In the first stage, a Poisson regression model allowing over-dispersion was used to estimate the community-specific TV-mortality relationship, after controlling for potential confounders. In the second stage, a meta-analysis was used to pool the effect estimates within each country. Results: There was a significant association between TV and mortality in all countries, even after controlling for the effects of daily mean temperature. In stratified analyses, TV was still significantly associated with mortality in cold, hot, and moderate seasons. Mortality risks related to TV were higher in hot areas than in cold areas when using short TV exposures (0–1 days), whereas TV-related mortality risks were higher in moderate areas than in cold and hot areas when using longer TV exposures (0–7 days). Conclusions: The results indicate that more attention should be paid to unstable weather conditions in order to protect health. These findings may have implications for developing public health policies to manage health risks of climate change.",
author = "Yuming Guo and Antonio Gasparrini and Armstrong, {Ben G.} and Benjawan Tawatsupa and Aurelio Tobias and Eric Lavigne and {Zanotti Stagliorio Coelho}, {Micheline de Sousa} and Xiaochuan Pan and Kim, {Ho Hyun} and Masahiro Hashizume and Yasushi Honda and Guo, {Yue Liang Leon} and Wu, {Chang Fu} and Antonella Zanobetti and Schwartz, {Joel D.} and Bell, {Michelle L.} and Ala Overcenco and Kornwipa Punnasiri and Shanshan Li and Linwei Tian and Saldiva, {Paulo Hilario Nascimento} and Gail Williams and Shilu Tong",
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Guo, Y, Gasparrini, A, Armstrong, BG, Tawatsupa, B, Tobias, A, Lavigne, E, Zanotti Stagliorio Coelho, MDS, Pan, X, Kim, HH, Hashizume, M, Honda, Y, Guo, YLL, Wu, CF, Zanobetti, A, Schwartz, JD, Bell, ML, Overcenco, A, Punnasiri, K, Li, S, Tian, L, Saldiva, PHN, Williams, G & Tong, S 2016, 'Temperature variability and mortality: A multi-country study', Environmental Health Perspectives, vol. 124, no. 10, pp. 1554-1559. https://doi.org/10.1289/EHP149

Temperature variability and mortality : A multi-country study. / Guo, Yuming; Gasparrini, Antonio; Armstrong, Ben G.; Tawatsupa, Benjawan; Tobias, Aurelio; Lavigne, Eric; Zanotti Stagliorio Coelho, Micheline de Sousa; Pan, Xiaochuan; Kim, Ho Hyun; Hashizume, Masahiro; Honda, Yasushi; Guo, Yue Liang Leon; Wu, Chang Fu; Zanobetti, Antonella; Schwartz, Joel D.; Bell, Michelle L.; Overcenco, Ala; Punnasiri, Kornwipa; Li, Shanshan; Tian, Linwei; Saldiva, Paulo Hilario Nascimento; Williams, Gail; Tong, Shilu.

In: Environmental Health Perspectives, Vol. 124, No. 10, 01.10.2016, p. 1554-1559.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Temperature variability and mortality

T2 - A multi-country study

AU - Guo, Yuming

AU - Gasparrini, Antonio

AU - Armstrong, Ben G.

AU - Tawatsupa, Benjawan

AU - Tobias, Aurelio

AU - Lavigne, Eric

AU - Zanotti Stagliorio Coelho, Micheline de Sousa

AU - Pan, Xiaochuan

AU - Kim, Ho Hyun

AU - Hashizume, Masahiro

AU - Honda, Yasushi

AU - Guo, Yue Liang Leon

AU - Wu, Chang Fu

AU - Zanobetti, Antonella

AU - Schwartz, Joel D.

AU - Bell, Michelle L.

AU - Overcenco, Ala

AU - Punnasiri, Kornwipa

AU - Li, Shanshan

AU - Tian, Linwei

AU - Saldiva, Paulo Hilario Nascimento

AU - Williams, Gail

AU - Tong, Shilu

PY - 2016/10/1

Y1 - 2016/10/1

N2 - Background: The evidence and method are limited for the associations between mortality and temperature variability (TV) within or between days. Objectives: We developed a novel method to calculate TV and investigated TV-mortality associations using a large multicountry data set. Methods: We collected daily data for temperature and mortality from 372 locations in 12 countries/regions (Australia, Brazil, Canada, China, Japan, Moldova, South Korea, Spain, Taiwan, Thailand, the United Kingdom, and the United States). We calculated TV from the standard deviation of the minimum and maximum temperatures during the exposure days. Two-stage analyses were used to assess the relationship between TV and mortality. In the first stage, a Poisson regression model allowing over-dispersion was used to estimate the community-specific TV-mortality relationship, after controlling for potential confounders. In the second stage, a meta-analysis was used to pool the effect estimates within each country. Results: There was a significant association between TV and mortality in all countries, even after controlling for the effects of daily mean temperature. In stratified analyses, TV was still significantly associated with mortality in cold, hot, and moderate seasons. Mortality risks related to TV were higher in hot areas than in cold areas when using short TV exposures (0–1 days), whereas TV-related mortality risks were higher in moderate areas than in cold and hot areas when using longer TV exposures (0–7 days). Conclusions: The results indicate that more attention should be paid to unstable weather conditions in order to protect health. These findings may have implications for developing public health policies to manage health risks of climate change.

AB - Background: The evidence and method are limited for the associations between mortality and temperature variability (TV) within or between days. Objectives: We developed a novel method to calculate TV and investigated TV-mortality associations using a large multicountry data set. Methods: We collected daily data for temperature and mortality from 372 locations in 12 countries/regions (Australia, Brazil, Canada, China, Japan, Moldova, South Korea, Spain, Taiwan, Thailand, the United Kingdom, and the United States). We calculated TV from the standard deviation of the minimum and maximum temperatures during the exposure days. Two-stage analyses were used to assess the relationship between TV and mortality. In the first stage, a Poisson regression model allowing over-dispersion was used to estimate the community-specific TV-mortality relationship, after controlling for potential confounders. In the second stage, a meta-analysis was used to pool the effect estimates within each country. Results: There was a significant association between TV and mortality in all countries, even after controlling for the effects of daily mean temperature. In stratified analyses, TV was still significantly associated with mortality in cold, hot, and moderate seasons. Mortality risks related to TV were higher in hot areas than in cold areas when using short TV exposures (0–1 days), whereas TV-related mortality risks were higher in moderate areas than in cold and hot areas when using longer TV exposures (0–7 days). Conclusions: The results indicate that more attention should be paid to unstable weather conditions in order to protect health. These findings may have implications for developing public health policies to manage health risks of climate change.

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U2 - 10.1289/EHP149

DO - 10.1289/EHP149

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Guo Y, Gasparrini A, Armstrong BG, Tawatsupa B, Tobias A, Lavigne E et al. Temperature variability and mortality: A multi-country study. Environmental Health Perspectives. 2016 Oct 1;124(10):1554-1559. https://doi.org/10.1289/EHP149