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https://hdl.handle.net/10216/149533Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Tobías, A | |
| dc.creator | Hashizume, M | |
| dc.creator | Honda Y | |
| dc.creator | Sera, F | |
| dc.creator | Ng, CFS | |
| dc.creator | Kim, Y | |
| dc.creator | Roye, D | |
| dc.creator | Chung, Y | |
| dc.creator | Dang, TN | |
| dc.creator | Kim, H | |
| dc.creator | Lee, W | |
| dc.creator | Íñiguez, C | |
| dc.creator | Vicedo-Cabrera, A | |
| dc.creator | Abrutzky, R | |
| dc.creator | Guo, Y | |
| dc.creator | Tong, S | |
| dc.creator | Coelho, MSZS | |
| dc.creator | Saldiva, PHN | |
| dc.creator | Lavigne, E | |
| dc.creator | Correa, PM | |
| dc.creator | Ortega, NV | |
| dc.creator | Kan, H | |
| dc.creator | Osorio, S | |
| dc.creator | Kyselý, J | |
| dc.creator | Urban, A | |
| dc.creator | Orru, H | |
| dc.creator | Indermitte, E | |
| dc.creator | Jaakkola, JJK | |
| dc.creator | Ryti, NRI | |
| dc.creator | Pascal, M | |
| dc.creator | Huber, V | |
| dc.creator | Schneider, A | |
| dc.creator | Katsouyanni, K | |
| dc.creator | Analitis, A | |
| dc.creator | Entezari, A | |
| dc.creator | Mayvaneh, F | |
| dc.creator | Goodman, P | |
| dc.creator | Zeka, A | |
| dc.creator | Michelozzi, P | |
| dc.creator | de'Donato, F | |
| dc.creator | Alahmad, B | |
| dc.creator | Diaz, MH | |
| dc.creator | De la Cruz, Valencia, C | |
| dc.creator | Overcenco, A | |
| dc.creator | Houthuijs, D | |
| dc.creator | Ameling, C | |
| dc.creator | Rao, S | |
| dc.creator | Di Ruscio, F | |
| dc.creator | Carrasco, G | |
| dc.creator | Seposo, X | |
| dc.creator | Nunes, B | |
| dc.creator | Madureira, J | |
| dc.creator | Holobaca, IH | |
| dc.creator | Scovronick, N | |
| dc.creator | Acquaotta, F | |
| dc.creator | Forsberg, B | |
| dc.creator | Åström, C | |
| dc.creator | Ragettli, MS | |
| dc.creator | Guo, YL | |
| dc.creator | Chen, BY | |
| dc.creator | Li, S | |
| dc.creator | Colistro, V | |
| dc.creator | Zanobetti, A | |
| dc.creator | Schwartz, J | |
| dc.creator | Dung, DV | |
| dc.creator | Armstrong, B | |
| dc.creator | Gasparrini, A | |
| dc.date.accessioned | 2023-05-23T14:23:42Z | - |
| dc.date.available | 2023-05-23T14:23:42Z | - |
| dc.date.issued | 2021 | |
| dc.identifier.issn | 2474-7882 | |
| dc.identifier.uri | https://hdl.handle.net/10216/149533 | - |
| dc.description.abstract | 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. | |
| dc.language.iso | eng | |
| dc.publisher | Lippincott, Williams & Wilkins | |
| dc.relation.ispartof | Environ Epidemiol. 2021 Sep 24;5(5):e169 | |
| dc.rights | openAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Adaptation | |
| dc.subject | Climate | |
| dc.subject | Distributed lag nonlinear models | |
| dc.subject | Minimum mortality temperature | |
| dc.subject | Multi-city | |
| dc.subject | Multi-country | |
| dc.subject | Time-series | |
| dc.title | Geographical Variations of the Minimum Mortality Temperature at a Global Scale: A Multicountry Study | |
| dc.type | Artigo em Revista Científica Internacional | |
| dc.contributor.uporto | Instituto de Saúde Pública da Universidade do Porto | |
| dc.identifier.doi | 10.1097/EE9.0000000000000169 | |
| dc.relation.publisherversion | https://journals.lww.com/environepidem/Fulltext/2021/10000/Geographical_Variations_of_the_Minimum_Mortality.3.aspx | |
| Appears in Collections: | ISPUP - Artigo em Revista Científica Internacional | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| tobias-ee-2021.pdf | 929.76 kB | Adobe PDF | ![]() View/Open |
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