Geographical Variations of the Minimum Mortality Temperature at a Global Scale: A Multicountry Study

Bibliographic Details
Main Author: Tobías, A
Publication Date: 2021
Other Authors: Hashizume, M, Honda Y, Sera, F, Ng, CFS, Kim, Y, Roye, D, Chung, Y, Dang, TN, Kim, H, Lee, W, Íñiguez, C, Vicedo-Cabrera, A, Abrutzky, R, Guo, Y, Tong, S, Coelho, MSZS, Saldiva, PHN, Lavigne, E, Correa, PM, Ortega, NV, Kan, H, Osorio, S, Kyselý, J, Urban, A, Orru, H, Indermitte, E, Jaakkola, JJK, Ryti, NRI, Pascal, M, Huber, V, Schneider, A, Katsouyanni, K, Analitis, A, Entezari, A, Mayvaneh, F, Goodman, P, Zeka, A, Michelozzi, P, de'Donato, F, Alahmad, B, Diaz, MH, De la Cruz, Valencia, C, Overcenco, A, Houthuijs, D, Ameling, C, Rao, S, Di Ruscio, F, Carrasco, G, Seposo, X, Nunes, B, Madureira, J, Holobaca, IH, Scovronick, N, Acquaotta, F, Forsberg, B, Åström, C, Ragettli, MS, Guo, YL, Chen, BY, Li, S, Colistro, V, Zanobetti, A, Schwartz, J, Dung, DV, Armstrong, B, Gasparrini, A
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/10216/149533
Summary: Background: Minimum mortality temperature (MMT) is an important indicator to assess the temperature-mortality association, indicating long-term adaptation to local climate. Limited evidence about the geographical variability of the MMT is available at a global scale. Methods: We collected data from 658 communities in 43 countries under different climates. We estimated temperature-mortality associations to derive the MMT for each community using Poisson regression with distributed lag nonlinear models. We investigated the variation in MMT by climatic zone using a mixed-effects meta-analysis and explored the association with climatic and socioeconomic indicators. Results: The geographical distribution of MMTs varied considerably by country between 14.2 and 31.1 °C decreasing by latitude. For climatic zones, the MMTs increased from alpine (13.0 °C) to continental (19.3 °C), temperate (21.7 °C), arid (24.5 °C), and tropical (26.5 °C). The MMT percentiles (MMTPs) corresponding to the MMTs decreased from temperate (79.5th) to continental (75.4th), arid (68.0th), tropical (58.5th), and alpine (41.4th). The MMTs indreased by 0.8 °C for a 1 °C rise in a community's annual mean temperature, and by 1 °C for a 1 °C rise in its SD. While the MMTP decreased by 0.3 centile points for a 1 °C rise in a community's annual mean temperature and by 1.3 for a 1 °C rise in its SD. Conclusions: The geographical distribution of the MMTs and MMTPs is driven mainly by the mean annual temperature, which seems to be a valuable indicator of overall adaptation across populations. Our results suggest that populations have adapted to the average temperature, although there is still more room for adaptation.
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spelling Geographical Variations of the Minimum Mortality Temperature at a Global Scale: A Multicountry StudyAdaptationClimateDistributed lag nonlinear modelsMinimum mortality temperatureMulti-cityMulti-countryTime-seriesBackground: Minimum mortality temperature (MMT) is an important indicator to assess the temperature-mortality association, indicating long-term adaptation to local climate. Limited evidence about the geographical variability of the MMT is available at a global scale. Methods: We collected data from 658 communities in 43 countries under different climates. We estimated temperature-mortality associations to derive the MMT for each community using Poisson regression with distributed lag nonlinear models. We investigated the variation in MMT by climatic zone using a mixed-effects meta-analysis and explored the association with climatic and socioeconomic indicators. Results: The geographical distribution of MMTs varied considerably by country between 14.2 and 31.1 °C decreasing by latitude. For climatic zones, the MMTs increased from alpine (13.0 °C) to continental (19.3 °C), temperate (21.7 °C), arid (24.5 °C), and tropical (26.5 °C). The MMT percentiles (MMTPs) corresponding to the MMTs decreased from temperate (79.5th) to continental (75.4th), arid (68.0th), tropical (58.5th), and alpine (41.4th). The MMTs indreased by 0.8 °C for a 1 °C rise in a community's annual mean temperature, and by 1 °C for a 1 °C rise in its SD. While the MMTP decreased by 0.3 centile points for a 1 °C rise in a community's annual mean temperature and by 1.3 for a 1 °C rise in its SD. Conclusions: The geographical distribution of the MMTs and MMTPs is driven mainly by the mean annual temperature, which seems to be a valuable indicator of overall adaptation across populations. Our results suggest that populations have adapted to the average temperature, although there is still more room for adaptation.Lippincott, Williams & Wilkins20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/149533eng2474-788210.1097/EE9.0000000000000169Tobías, AHashizume, MHonda YSera, FNg, CFSKim, YRoye, DChung, YDang, TNKim, HLee, WÍñiguez, CVicedo-Cabrera, AAbrutzky, RGuo, YTong, SCoelho, MSZSSaldiva, PHNLavigne, ECorrea, PMOrtega, NVKan, HOsorio, SKyselý, JUrban, AOrru, HIndermitte, EJaakkola, JJKRyti, NRIPascal, MHuber, VSchneider, AKatsouyanni, KAnalitis, AEntezari, AMayvaneh, FGoodman, PZeka, AMichelozzi, Pde'Donato, FAlahmad, BDiaz, MHDe la Cruz, Valencia, COvercenco, AHouthuijs, DAmeling, CRao, SDi Ruscio, FCarrasco, GSeposo, XNunes, BMadureira, JHolobaca, IHScovronick, NAcquaotta, FForsberg, BÅström, CRagettli, MSGuo, YLChen, BYLi, SColistro, VZanobetti, ASchwartz, JDung, DVArmstrong, BGasparrini, Ainfo: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:RCAAP2025-02-27T17:08:34Zoai:repositorio-aberto.up.pt:10216/149533Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T22:04:22.129804Repositórios 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 Geographical Variations of the Minimum Mortality Temperature at a Global Scale: A Multicountry Study
title Geographical Variations of the Minimum Mortality Temperature at a Global Scale: A Multicountry Study
spellingShingle Geographical Variations of the Minimum Mortality Temperature at a Global Scale: A Multicountry Study
Tobías, A
Adaptation
Climate
Distributed lag nonlinear models
Minimum mortality temperature
Multi-city
Multi-country
Time-series
title_short Geographical Variations of the Minimum Mortality Temperature at a Global Scale: A Multicountry Study
title_full Geographical Variations of the Minimum Mortality Temperature at a Global Scale: A Multicountry Study
title_fullStr Geographical Variations of the Minimum Mortality Temperature at a Global Scale: A Multicountry Study
title_full_unstemmed Geographical Variations of the Minimum Mortality Temperature at a Global Scale: A Multicountry Study
title_sort Geographical Variations of the Minimum Mortality Temperature at a Global Scale: A Multicountry Study
author Tobías, A
author_facet Tobías, A
Hashizume, M
Honda Y
Sera, F
Ng, CFS
Kim, Y
Roye, D
Chung, Y
Dang, TN
Kim, H
Lee, W
Íñiguez, C
Vicedo-Cabrera, A
Abrutzky, R
Guo, Y
Tong, S
Coelho, MSZS
Saldiva, PHN
Lavigne, E
Correa, PM
Ortega, NV
Kan, H
Osorio, S
Kyselý, J
Urban, A
Orru, H
Indermitte, E
Jaakkola, JJK
Ryti, NRI
Pascal, M
Huber, V
Schneider, A
Katsouyanni, K
Analitis, A
Entezari, A
Mayvaneh, F
Goodman, P
Zeka, A
Michelozzi, P
de'Donato, F
Alahmad, B
Diaz, MH
De la Cruz, Valencia, C
Overcenco, A
Houthuijs, D
Ameling, C
Rao, S
Di Ruscio, F
Carrasco, G
Seposo, X
Nunes, B
Madureira, J
Holobaca, IH
Scovronick, N
Acquaotta, F
Forsberg, B
Åström, C
Ragettli, MS
Guo, YL
Chen, BY
Li, S
Colistro, V
Zanobetti, A
Schwartz, J
Dung, DV
Armstrong, B
Gasparrini, A
author_role author
author2 Hashizume, M
Honda Y
Sera, F
Ng, CFS
Kim, Y
Roye, D
Chung, Y
Dang, TN
Kim, H
Lee, W
Íñiguez, C
Vicedo-Cabrera, A
Abrutzky, R
Guo, Y
Tong, S
Coelho, MSZS
Saldiva, PHN
Lavigne, E
Correa, PM
Ortega, NV
Kan, H
Osorio, S
Kyselý, J
Urban, A
Orru, H
Indermitte, E
Jaakkola, JJK
Ryti, NRI
Pascal, M
Huber, V
Schneider, A
Katsouyanni, K
Analitis, A
Entezari, A
Mayvaneh, F
Goodman, P
Zeka, A
Michelozzi, P
de'Donato, F
Alahmad, B
Diaz, MH
De la Cruz, Valencia, C
Overcenco, A
Houthuijs, D
Ameling, C
Rao, S
Di Ruscio, F
Carrasco, G
Seposo, X
Nunes, B
Madureira, J
Holobaca, IH
Scovronick, N
Acquaotta, F
Forsberg, B
Åström, C
Ragettli, MS
Guo, YL
Chen, BY
Li, S
Colistro, V
Zanobetti, A
Schwartz, J
Dung, DV
Armstrong, B
Gasparrini, A
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dc.contributor.author.fl_str_mv Tobías, A
Hashizume, M
Honda Y
Sera, F
Ng, CFS
Kim, Y
Roye, D
Chung, Y
Dang, TN
Kim, H
Lee, W
Íñiguez, C
Vicedo-Cabrera, A
Abrutzky, R
Guo, Y
Tong, S
Coelho, MSZS
Saldiva, PHN
Lavigne, E
Correa, PM
Ortega, NV
Kan, H
Osorio, S
Kyselý, J
Urban, A
Orru, H
Indermitte, E
Jaakkola, JJK
Ryti, NRI
Pascal, M
Huber, V
Schneider, A
Katsouyanni, K
Analitis, A
Entezari, A
Mayvaneh, F
Goodman, P
Zeka, A
Michelozzi, P
de'Donato, F
Alahmad, B
Diaz, MH
De la Cruz, Valencia, C
Overcenco, A
Houthuijs, D
Ameling, C
Rao, S
Di Ruscio, F
Carrasco, G
Seposo, X
Nunes, B
Madureira, J
Holobaca, IH
Scovronick, N
Acquaotta, F
Forsberg, B
Åström, C
Ragettli, MS
Guo, YL
Chen, BY
Li, S
Colistro, V
Zanobetti, A
Schwartz, J
Dung, DV
Armstrong, B
Gasparrini, A
dc.subject.por.fl_str_mv Adaptation
Climate
Distributed lag nonlinear models
Minimum mortality temperature
Multi-city
Multi-country
Time-series
topic Adaptation
Climate
Distributed lag nonlinear models
Minimum mortality temperature
Multi-city
Multi-country
Time-series
description Background: Minimum mortality temperature (MMT) is an important indicator to assess the temperature-mortality association, indicating long-term adaptation to local climate. Limited evidence about the geographical variability of the MMT is available at a global scale. Methods: We collected data from 658 communities in 43 countries under different climates. We estimated temperature-mortality associations to derive the MMT for each community using Poisson regression with distributed lag nonlinear models. We investigated the variation in MMT by climatic zone using a mixed-effects meta-analysis and explored the association with climatic and socioeconomic indicators. Results: The geographical distribution of MMTs varied considerably by country between 14.2 and 31.1 °C decreasing by latitude. For climatic zones, the MMTs increased from alpine (13.0 °C) to continental (19.3 °C), temperate (21.7 °C), arid (24.5 °C), and tropical (26.5 °C). The MMT percentiles (MMTPs) corresponding to the MMTs decreased from temperate (79.5th) to continental (75.4th), arid (68.0th), tropical (58.5th), and alpine (41.4th). The MMTs indreased by 0.8 °C for a 1 °C rise in a community's annual mean temperature, and by 1 °C for a 1 °C rise in its SD. While the MMTP decreased by 0.3 centile points for a 1 °C rise in a community's annual mean temperature and by 1.3 for a 1 °C rise in its SD. Conclusions: The geographical distribution of the MMTs and MMTPs is driven mainly by the mean annual temperature, which seems to be a valuable indicator of overall adaptation across populations. Our results suggest that populations have adapted to the average temperature, although there is still more room for adaptation.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/149533
url https://hdl.handle.net/10216/149533
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2474-7882
10.1097/EE9.0000000000000169
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Lippincott, Williams & Wilkins
publisher.none.fl_str_mv Lippincott, Williams & Wilkins
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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