Comparison for the effects of different components of temperature variability on mortality: A multi-country time-series study
Main Author: | |
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Publication Date: | 2024 |
Other Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | https://hdl.handle.net/10216/160637 |
Summary: | Background: Temperature variability (TV) is associated with increased mortality risk. However, it is still unknown whether intra-day or inter-day TV has different effects. Objectives: We aimed to assess the association of intra-day TV and inter-day TV with all-cause, cardiovascular, and respiratory mortality. Methods: We collected data on total, cardiovascular, and respiratory mortality and meteorology from 758 locations in 47 countries or regions from 1972 to 2020. We defined inter-day TV as the standard deviation (SD) of daily mean temperatures across the lag interval, and intra-day TV as the average SD of minimum and maximum temperatures on each day. In the first stage, inter-day and intra-day TVs were modelled simultaneously in the quasi-Poisson time-series model for each location. In the second stage, a multi-level analysis was used to pool the location-specific estimates. Results: Overall, the mortality risk due to each interquartile range [IQR] increase was higher for intra-day TV than for inter-day TV. The risk increased by 0.59% (95% confidence interval [CI]: 0.53, 0.65) for all-cause mortality, 0.64% (95% CI: 0.56, 0.73) for cardiovascular mortality, and 0.65% (95% CI: 0.49, 0.80) for respiratory mortality per IQR increase in intra-day TV0–7 (0.9 °C). An IQR increase in inter-day TV0–7 (1.6 °C) was associated with 0.22% (95% CI: 0.18, 0.26) increase in all-cause mortality, 0.44% (95% CI: 0.37, 0.50) increase in cardiovascular mortality, and 0.31% (95% CI: 0.21, 0.41) increase in respiratory mortality. The proportion of all-cause deaths attributable to intra-day TV0–7 and inter-day TV0–7 was 1.45% and 0.35%, respectively. The mortality risks varied by lag interval, climate area, season, and climate type. Conclusions: Our results indicated that intra-day TV may explain the main part of the mortality risk related to TV and suggested that comprehensive evaluations should be proposed in more countries to help protect human health. © 2024 |
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Comparison for the effects of different components of temperature variability on mortality: A multi-country time-series studyBackground: Temperature variability (TV) is associated with increased mortality risk. However, it is still unknown whether intra-day or inter-day TV has different effects. Objectives: We aimed to assess the association of intra-day TV and inter-day TV with all-cause, cardiovascular, and respiratory mortality. Methods: We collected data on total, cardiovascular, and respiratory mortality and meteorology from 758 locations in 47 countries or regions from 1972 to 2020. We defined inter-day TV as the standard deviation (SD) of daily mean temperatures across the lag interval, and intra-day TV as the average SD of minimum and maximum temperatures on each day. In the first stage, inter-day and intra-day TVs were modelled simultaneously in the quasi-Poisson time-series model for each location. In the second stage, a multi-level analysis was used to pool the location-specific estimates. Results: Overall, the mortality risk due to each interquartile range [IQR] increase was higher for intra-day TV than for inter-day TV. The risk increased by 0.59% (95% confidence interval [CI]: 0.53, 0.65) for all-cause mortality, 0.64% (95% CI: 0.56, 0.73) for cardiovascular mortality, and 0.65% (95% CI: 0.49, 0.80) for respiratory mortality per IQR increase in intra-day TV0–7 (0.9 °C). An IQR increase in inter-day TV0–7 (1.6 °C) was associated with 0.22% (95% CI: 0.18, 0.26) increase in all-cause mortality, 0.44% (95% CI: 0.37, 0.50) increase in cardiovascular mortality, and 0.31% (95% CI: 0.21, 0.41) increase in respiratory mortality. The proportion of all-cause deaths attributable to intra-day TV0–7 and inter-day TV0–7 was 1.45% and 0.35%, respectively. The mortality risks varied by lag interval, climate area, season, and climate type. Conclusions: Our results indicated that intra-day TV may explain the main part of the mortality risk related to TV and suggested that comprehensive evaluations should be proposed in more countries to help protect human health. © 2024Elsevier20242024-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/160637eng0160-412010.1016/j.envint.2024.108712Wen, BWu, YGuo, YGasparrini, ATong, SOvercenco, AUrban, ASchneider, AEntezari, AVicedo-Cabrera, AMZanobetti, AAnalitis, AZeka, ATobias, ANunes, BAlahmad, BArmstrong, BForsberg, BPan, S-CÍñiguez, CAmeling, CValencia, CDLCÅström, CHouthuijs, DVan Dung, DRoyé, DIndermitte, ELavigne, EMayvaneh, FAcquaotta, Fde'Donato, FRao, SSera, FCarrasco-Escobar, GKan, HOrru, HKim, HHolobaca, IHKyselý, JMadureira, JSchwartz, JJaakkola, JJKKatsouyanni, KDiaz, MHRagettli, MSHashizume, MPascal, MCoélho, MDSZSOrtega, NVRyti, NScovronick, NMichelozzi, PMatus Correa, PGoodman, PSaldiva, PHNRaz, RAbrutzky, ROsorio, SDang, TNColistro, VHuber, VLee, WSeposo, XHonda, YKim, YGuo, YLBell, MLLi, Sinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-27T19:16:36Zoai:repositorio-aberto.up.pt:10216/160637Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T23:13:03.240274Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Comparison for the effects of different components of temperature variability on mortality: A multi-country time-series study |
title |
Comparison for the effects of different components of temperature variability on mortality: A multi-country time-series study |
spellingShingle |
Comparison for the effects of different components of temperature variability on mortality: A multi-country time-series study Wen, B |
title_short |
Comparison for the effects of different components of temperature variability on mortality: A multi-country time-series study |
title_full |
Comparison for the effects of different components of temperature variability on mortality: A multi-country time-series study |
title_fullStr |
Comparison for the effects of different components of temperature variability on mortality: A multi-country time-series study |
title_full_unstemmed |
Comparison for the effects of different components of temperature variability on mortality: A multi-country time-series study |
title_sort |
Comparison for the effects of different components of temperature variability on mortality: A multi-country time-series study |
author |
Wen, B |
author_facet |
Wen, B Wu, Y Guo, Y Gasparrini, A Tong, S Overcenco, A Urban, A Schneider, A Entezari, A Vicedo-Cabrera, AM Zanobetti, A Analitis, A Zeka, A Tobias, A Nunes, B Alahmad, B Armstrong, B Forsberg, B Pan, S-C Íñiguez, C Ameling, C Valencia, CDLC Åström, C Houthuijs, D Van Dung, D Royé, D Indermitte, E Lavigne, E Mayvaneh, F Acquaotta, F de'Donato, F Rao, S Sera, F Carrasco-Escobar, G Kan, H Orru, H Kim, H Holobaca, IH Kyselý, J Madureira, J Schwartz, J Jaakkola, JJK Katsouyanni, K Diaz, MH Ragettli, MS Hashizume, M Pascal, M Coélho, MDSZS Ortega, NV Ryti, N Scovronick, N Michelozzi, P Matus Correa, P Goodman, P Saldiva, PHN Raz, R Abrutzky, R Osorio, S Dang, TN Colistro, V Huber, V Lee, W Seposo, X Honda, Y Kim, Y Guo, YL Bell, ML Li, S |
author_role |
author |
author2 |
Wu, Y Guo, Y Gasparrini, A Tong, S Overcenco, A Urban, A Schneider, A Entezari, A Vicedo-Cabrera, AM Zanobetti, A Analitis, A Zeka, A Tobias, A Nunes, B Alahmad, B Armstrong, B Forsberg, B Pan, S-C Íñiguez, C Ameling, C Valencia, CDLC Åström, C Houthuijs, D Van Dung, D Royé, D Indermitte, E Lavigne, E Mayvaneh, F Acquaotta, F de'Donato, F Rao, S Sera, F Carrasco-Escobar, G Kan, H Orru, H Kim, H Holobaca, IH Kyselý, J Madureira, J Schwartz, J Jaakkola, JJK Katsouyanni, K Diaz, MH Ragettli, MS Hashizume, M Pascal, M Coélho, MDSZS Ortega, NV Ryti, N Scovronick, N Michelozzi, P Matus Correa, P Goodman, P Saldiva, PHN Raz, R Abrutzky, R Osorio, S Dang, TN Colistro, V Huber, V Lee, W Seposo, X Honda, Y Kim, Y Guo, YL Bell, ML Li, S |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Wen, B Wu, Y Guo, Y Gasparrini, A Tong, S Overcenco, A Urban, A Schneider, A Entezari, A Vicedo-Cabrera, AM Zanobetti, A Analitis, A Zeka, A Tobias, A Nunes, B Alahmad, B Armstrong, B Forsberg, B Pan, S-C Íñiguez, C Ameling, C Valencia, CDLC Åström, C Houthuijs, D Van Dung, D Royé, D Indermitte, E Lavigne, E Mayvaneh, F Acquaotta, F de'Donato, F Rao, S Sera, F Carrasco-Escobar, G Kan, H Orru, H Kim, H Holobaca, IH Kyselý, J Madureira, J Schwartz, J Jaakkola, JJK Katsouyanni, K Diaz, MH Ragettli, MS Hashizume, M Pascal, M Coélho, MDSZS Ortega, NV Ryti, N Scovronick, N Michelozzi, P Matus Correa, P Goodman, P Saldiva, PHN Raz, R Abrutzky, R Osorio, S Dang, TN Colistro, V Huber, V Lee, W Seposo, X Honda, Y Kim, Y Guo, YL Bell, ML Li, S |
description |
Background: Temperature variability (TV) is associated with increased mortality risk. However, it is still unknown whether intra-day or inter-day TV has different effects. Objectives: We aimed to assess the association of intra-day TV and inter-day TV with all-cause, cardiovascular, and respiratory mortality. Methods: We collected data on total, cardiovascular, and respiratory mortality and meteorology from 758 locations in 47 countries or regions from 1972 to 2020. We defined inter-day TV as the standard deviation (SD) of daily mean temperatures across the lag interval, and intra-day TV as the average SD of minimum and maximum temperatures on each day. In the first stage, inter-day and intra-day TVs were modelled simultaneously in the quasi-Poisson time-series model for each location. In the second stage, a multi-level analysis was used to pool the location-specific estimates. Results: Overall, the mortality risk due to each interquartile range [IQR] increase was higher for intra-day TV than for inter-day TV. The risk increased by 0.59% (95% confidence interval [CI]: 0.53, 0.65) for all-cause mortality, 0.64% (95% CI: 0.56, 0.73) for cardiovascular mortality, and 0.65% (95% CI: 0.49, 0.80) for respiratory mortality per IQR increase in intra-day TV0–7 (0.9 °C). An IQR increase in inter-day TV0–7 (1.6 °C) was associated with 0.22% (95% CI: 0.18, 0.26) increase in all-cause mortality, 0.44% (95% CI: 0.37, 0.50) increase in cardiovascular mortality, and 0.31% (95% CI: 0.21, 0.41) increase in respiratory mortality. The proportion of all-cause deaths attributable to intra-day TV0–7 and inter-day TV0–7 was 1.45% and 0.35%, respectively. The mortality risks varied by lag interval, climate area, season, and climate type. Conclusions: Our results indicated that intra-day TV may explain the main part of the mortality risk related to TV and suggested that comprehensive evaluations should be proposed in more countries to help protect human health. © 2024 |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024 2024-01-01T00:00:00Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10216/160637 |
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https://hdl.handle.net/10216/160637 |
dc.language.iso.fl_str_mv |
eng |
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eng |
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0160-4120 10.1016/j.envint.2024.108712 |
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openAccess |
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Elsevier |
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Elsevier |
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