Geographical Variations of the Minimum Mortality Temperature at a Global Scale

Detalhes bibliográficos
Autor(a) principal: Tobías, Aurelio
Data de Publicação: 2021
Outros Autores: Hashizume, Masahiro, Honda, Yasushi, Sera, Francesco, Ng, Chris Fook Sheng, Kim, Yoonhee, Roye, Dominic, Chung, Yeonseung, Dang, Tran Ngoc, Kim, Ho, Lee, Whanhee, Íñiguez, Carmen, Vicedo-Cabrera, Ana, Abrutzky, Rosana, Guo, Yuming, Tong, Shilu, Coelho, Micheline de Sousa Zanotti Stagliorio, Saldiva, Paulo Hilario Nascimento, Lavigne, Eric, Correa, Patricia Matus, Ortega, Nicolás Valdés, Kan, Haidong, Osorio, Samuel, Kyselý, Jan, Urban, Aleš, Orru, Hans, Indermitte, Ene, Jaakkola, Jouni J.K., Ryti, Niilo R.I., Pascal, Mathilde, Huber, Veronika, Schneider, Alexandra, Katsouyanni, Klea, Analitis, Antonis, Entezari, Alireza, Mayvaneh, Fatemeh, Goodman, Patrick, Zeka, Ariana, Michelozzi, Paola, de’Donato, Francesca, Alahmad, Barrak, Diaz, Magali Hurtado, De la Cruz Valencia, César, Overcenco, Ala, Houthuijs, Danny, Ameling, Caroline, Rao, Shilpa, Di Ruscio, Francesco, Carrasco, Gabriel, Seposo, Xerxes, Nunes, Baltazar, Madureira, Joana, Holobaca, Iulian-Horia, Scovronick, Noah, Acquaotta, Fiorella, Forsberg, Bertil, Åström, Christofer, Ragettli, Martina S., Guo, Yue-Liang Leon, Chen, Bing-Yu, Li, Shanshan, Colistro, Valentina, Zanobetti, Antonella, Schwartz, Joel, Dung, Do Van, Armstrong, Ben, Gasparrini, Antonio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.18/8062
Resumo: 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 ScaleAdaptationClimateDistributed Lag Nonlinear ModelsMinimum Mortality TemperatureMulti-cityMulti-countryTime-seriesDeterminantes da Saúde e da DoençaBackground: 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.What this study adds: The minimum mortality temperature (MMT) is an important indicator of the relationship between temperature and mortality. It indicates the adaptability to climate, but little is known about its geographical changes in the global distribution. This article investigates the geographic differences of the MMT on a global scale and studies the influence of geographical, climatic, and socioeconomic factors. The results indicate that although there is still more room for adaptation, populations have adapted to the average temperature.Lippincott, Williams & WilkinsRepositório Científico do Instituto Nacional de SaúdeTobías, AurelioHashizume, MasahiroHonda, YasushiSera, FrancescoNg, Chris Fook ShengKim, YoonheeRoye, DominicChung, YeonseungDang, Tran NgocKim, HoLee, WhanheeÍñiguez, CarmenVicedo-Cabrera, AnaAbrutzky, RosanaGuo, YumingTong, ShiluCoelho, Micheline de Sousa Zanotti StagliorioSaldiva, Paulo Hilario NascimentoLavigne, EricCorrea, Patricia MatusOrtega, Nicolás ValdésKan, HaidongOsorio, SamuelKyselý, JanUrban, AlešOrru, HansIndermitte, EneJaakkola, Jouni J.K.Ryti, Niilo R.I.Pascal, MathildeHuber, VeronikaSchneider, AlexandraKatsouyanni, KleaAnalitis, AntonisEntezari, AlirezaMayvaneh, FatemehGoodman, PatrickZeka, ArianaMichelozzi, Paolade’Donato, FrancescaAlahmad, BarrakDiaz, Magali HurtadoDe la Cruz Valencia, CésarOvercenco, AlaHouthuijs, DannyAmeling, CarolineRao, ShilpaDi Ruscio, FrancescoCarrasco, GabrielSeposo, XerxesNunes, BaltazarMadureira, JoanaHolobaca, Iulian-HoriaScovronick, NoahAcquaotta, FiorellaForsberg, BertilÅström, ChristoferRagettli, Martina S.Guo, Yue-Liang LeonChen, Bing-YuLi, ShanshanColistro, ValentinaZanobetti, AntonellaSchwartz, JoelDung, Do VanArmstrong, BenGasparrini, Antonio2022-07-05T15:42:29Z2021-09-242021-09-24T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.18/8062engEnviron Epidemiol. 2021 Sep 24;5(5):e169. doi: 10.1097/EE9.0000000000000169. eCollection 2021 Oct.2474-788210.1097/EE9.0000000000000169info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-20T15:42:25Zoai:repositorio.insa.pt:10400.18/8062Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:42:49.063072Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Geographical Variations of the Minimum Mortality Temperature at a Global Scale
title Geographical Variations of the Minimum Mortality Temperature at a Global Scale
spellingShingle Geographical Variations of the Minimum Mortality Temperature at a Global Scale
Tobías, Aurelio
Adaptation
Climate
Distributed Lag Nonlinear Models
Minimum Mortality Temperature
Multi-city
Multi-country
Time-series
Determinantes da Saúde e da Doença
title_short Geographical Variations of the Minimum Mortality Temperature at a Global Scale
title_full Geographical Variations of the Minimum Mortality Temperature at a Global Scale
title_fullStr Geographical Variations of the Minimum Mortality Temperature at a Global Scale
title_full_unstemmed Geographical Variations of the Minimum Mortality Temperature at a Global Scale
title_sort Geographical Variations of the Minimum Mortality Temperature at a Global Scale
author Tobías, Aurelio
author_facet Tobías, Aurelio
Hashizume, Masahiro
Honda, Yasushi
Sera, Francesco
Ng, Chris Fook Sheng
Kim, Yoonhee
Roye, Dominic
Chung, Yeonseung
Dang, Tran Ngoc
Kim, Ho
Lee, Whanhee
Íñiguez, Carmen
Vicedo-Cabrera, Ana
Abrutzky, Rosana
Guo, Yuming
Tong, Shilu
Coelho, Micheline de Sousa Zanotti Stagliorio
Saldiva, Paulo Hilario Nascimento
Lavigne, Eric
Correa, Patricia Matus
Ortega, Nicolás Valdés
Kan, Haidong
Osorio, Samuel
Kyselý, Jan
Urban, Aleš
Orru, Hans
Indermitte, Ene
Jaakkola, Jouni J.K.
Ryti, Niilo R.I.
Pascal, Mathilde
Huber, Veronika
Schneider, Alexandra
Katsouyanni, Klea
Analitis, Antonis
Entezari, Alireza
Mayvaneh, Fatemeh
Goodman, Patrick
Zeka, Ariana
Michelozzi, Paola
de’Donato, Francesca
Alahmad, Barrak
Diaz, Magali Hurtado
De la Cruz Valencia, César
Overcenco, Ala
Houthuijs, Danny
Ameling, Caroline
Rao, Shilpa
Di Ruscio, Francesco
Carrasco, Gabriel
Seposo, Xerxes
Nunes, Baltazar
Madureira, Joana
Holobaca, Iulian-Horia
Scovronick, Noah
Acquaotta, Fiorella
Forsberg, Bertil
Åström, Christofer
Ragettli, Martina S.
Guo, Yue-Liang Leon
Chen, Bing-Yu
Li, Shanshan
Colistro, Valentina
Zanobetti, Antonella
Schwartz, Joel
Dung, Do Van
Armstrong, Ben
Gasparrini, Antonio
author_role author
author2 Hashizume, Masahiro
Honda, Yasushi
Sera, Francesco
Ng, Chris Fook Sheng
Kim, Yoonhee
Roye, Dominic
Chung, Yeonseung
Dang, Tran Ngoc
Kim, Ho
Lee, Whanhee
Íñiguez, Carmen
Vicedo-Cabrera, Ana
Abrutzky, Rosana
Guo, Yuming
Tong, Shilu
Coelho, Micheline de Sousa Zanotti Stagliorio
Saldiva, Paulo Hilario Nascimento
Lavigne, Eric
Correa, Patricia Matus
Ortega, Nicolás Valdés
Kan, Haidong
Osorio, Samuel
Kyselý, Jan
Urban, Aleš
Orru, Hans
Indermitte, Ene
Jaakkola, Jouni J.K.
Ryti, Niilo R.I.
Pascal, Mathilde
Huber, Veronika
Schneider, Alexandra
Katsouyanni, Klea
Analitis, Antonis
Entezari, Alireza
Mayvaneh, Fatemeh
Goodman, Patrick
Zeka, Ariana
Michelozzi, Paola
de’Donato, Francesca
Alahmad, Barrak
Diaz, Magali Hurtado
De la Cruz Valencia, César
Overcenco, Ala
Houthuijs, Danny
Ameling, Caroline
Rao, Shilpa
Di Ruscio, Francesco
Carrasco, Gabriel
Seposo, Xerxes
Nunes, Baltazar
Madureira, Joana
Holobaca, Iulian-Horia
Scovronick, Noah
Acquaotta, Fiorella
Forsberg, Bertil
Åström, Christofer
Ragettli, Martina S.
Guo, Yue-Liang Leon
Chen, Bing-Yu
Li, Shanshan
Colistro, Valentina
Zanobetti, Antonella
Schwartz, Joel
Dung, Do Van
Armstrong, Ben
Gasparrini, Antonio
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dc.contributor.none.fl_str_mv Repositório Científico do Instituto Nacional de Saúde
dc.contributor.author.fl_str_mv Tobías, Aurelio
Hashizume, Masahiro
Honda, Yasushi
Sera, Francesco
Ng, Chris Fook Sheng
Kim, Yoonhee
Roye, Dominic
Chung, Yeonseung
Dang, Tran Ngoc
Kim, Ho
Lee, Whanhee
Íñiguez, Carmen
Vicedo-Cabrera, Ana
Abrutzky, Rosana
Guo, Yuming
Tong, Shilu
Coelho, Micheline de Sousa Zanotti Stagliorio
Saldiva, Paulo Hilario Nascimento
Lavigne, Eric
Correa, Patricia Matus
Ortega, Nicolás Valdés
Kan, Haidong
Osorio, Samuel
Kyselý, Jan
Urban, Aleš
Orru, Hans
Indermitte, Ene
Jaakkola, Jouni J.K.
Ryti, Niilo R.I.
Pascal, Mathilde
Huber, Veronika
Schneider, Alexandra
Katsouyanni, Klea
Analitis, Antonis
Entezari, Alireza
Mayvaneh, Fatemeh
Goodman, Patrick
Zeka, Ariana
Michelozzi, Paola
de’Donato, Francesca
Alahmad, Barrak
Diaz, Magali Hurtado
De la Cruz Valencia, César
Overcenco, Ala
Houthuijs, Danny
Ameling, Caroline
Rao, Shilpa
Di Ruscio, Francesco
Carrasco, Gabriel
Seposo, Xerxes
Nunes, Baltazar
Madureira, Joana
Holobaca, Iulian-Horia
Scovronick, Noah
Acquaotta, Fiorella
Forsberg, Bertil
Åström, Christofer
Ragettli, Martina S.
Guo, Yue-Liang Leon
Chen, Bing-Yu
Li, Shanshan
Colistro, Valentina
Zanobetti, Antonella
Schwartz, Joel
Dung, Do Van
Armstrong, Ben
Gasparrini, Antonio
dc.subject.por.fl_str_mv Adaptation
Climate
Distributed Lag Nonlinear Models
Minimum Mortality Temperature
Multi-city
Multi-country
Time-series
Determinantes da Saúde e da Doença
topic Adaptation
Climate
Distributed Lag Nonlinear Models
Minimum Mortality Temperature
Multi-city
Multi-country
Time-series
Determinantes da Saúde e da Doença
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 2021-09-24
2021-09-24T00:00:00Z
2022-07-05T15:42:29Z
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 http://hdl.handle.net/10400.18/8062
url http://hdl.handle.net/10400.18/8062
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Environ Epidemiol. 2021 Sep 24;5(5):e169. doi: 10.1097/EE9.0000000000000169. eCollection 2021 Oct.
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:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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