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

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

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BORIS DOI
10.48350/163971
Publisher DOI
10.1097/EE9.0000000000000169
PubMed ID
34934890
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.
Date of Publication
2021-10
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
300 Social sciences, sociology & anthropology > 360 Social problems & social services
Keyword(s)
Adaptation Climate Distributed lag nonlinear models Minimum mortality temperature Multi-city Multi-country Time-series
Language(s)
en
Contributor(s)
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 Maria
Institut für Sozial- und Präventivmedizin (ISPM)
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
Additional Credits
Institut für Sozial- und Präventivmedizin (ISPM)
Series
Environmental epidemiology
Publisher
Lippincott, Williams & Wilkins
ISSN
2474-7882
Access(Rights)
open.access
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