Abstract
Assessing the association between temperature frequency and mortality can provide insights into human adaptation to local ambient temperatures. We collected daily time-series data on mortality and temperature from 757 locations in 47 countries/regions during 1979–2020. We used a two-stage time series design to assess the association between temperature frequency and all-cause mortality. The results were pooled at the national, regional, and global levels. We observed a consistent decrease in the risk of mortality as the normalized frequency of temperature increases across the globe. The average increase in mortality risk comparing the 10th to 100th percentile of normalized frequency was 13.03% (95% CI: 12.17–13.91), with substantial regional differences (from 4.56% in Australia and New Zealand to 33.06% in South Europe). The highest increase in mortality was observed for high-income countries (13.58%, 95% CI: 12.56–14.61), followed by lower-middle-income countries (12.34%, 95% CI: 9.27–15.51). This study observed a declining risk of mortality associated with higher temperature frequency. Our findings suggest that populations can adapt to their local climate with frequent exposure, with the adapting ability varying geographically due to differences in climatic and socioeconomic characteristics.
Original language | English |
---|---|
Article number | 108691 |
Journal | Environment International |
Volume | 187 |
DOIs | |
Publication status | Published - May 2024 |
Keywords
- Adaptation
- Climate change
- Frequency
- Mortality
- Temperature
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In: Environment International, Vol. 187, 108691, 05.2024.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Temperature frequency and mortality
T2 - assessing adaptation to local temperature
AU - Wu, Yao
AU - Wen, Bo
AU - Gasparrini, Antonio
AU - Armstrong, Ben
AU - Sera, Francesco
AU - Lavigne, Eric
AU - Li, Shanshan
AU - Guo, Yuming
AU - Overcenco, Ala
AU - Urban, Aleš
AU - Schneider, Alexandra
AU - Entezari, Alireza
AU - Vicedo-Cabrera, Ana Maria
AU - Zanobetti, Antonella
AU - Analitis, Antonis
AU - Zeka, Ariana
AU - Tobias, Aurelio
AU - Nunes, Baltazar
AU - Alahmad, Barrak
AU - Forsberg, Bertil
AU - Íñiguez, Carmen
AU - Ameling, Caroline
AU - la Cruz Valencia, César De
AU - Houthuijs, Danny
AU - Van Dung, Do
AU - Roye, Dominic
AU - Indermitte, Ene
AU - Mayvaneh, Fatemeh
AU - Acquaotta, Fiorella
AU - de'Donato, Francesca
AU - Carrasco-Escobar, Gabriel
AU - Kan, Haidong
AU - Carlsen, Hanne Krage
AU - Orru, Hans
AU - Kim, Ho
AU - Holobaca, Iulian Horia
AU - Kyselý, Jan
AU - Madureira, Joana
AU - Schwartz, Joel
AU - Jaakkola, Jouni J.K.
AU - Katsouyanni, Klea
AU - Diaz, Magali Hurtado
AU - Ragettli, Martina S.
AU - Hashizume, Masahiro
AU - Pascal, Mathilde
AU - de Sousa Zanotti Stagliorio Coelho, Micheline
AU - Ortega, Nicolás Valdés
AU - Ryti, Niilo
AU - Scovronick, Noah
AU - Michelozzi, Paola
AU - Correa, Patricia Matus
AU - Goodman, Patrick
AU - Nascimento Saldiva, Paulo Hilario
AU - Raz, Raanan
AU - Abrutzky, Rosana
AU - Osorio, Samuel
AU - Pan, Shih Chun
AU - Rao, Shilpa
AU - Tong, Shilu
AU - Achilleos, Souzana
AU - Dang, Tran Ngoc
AU - Colistro, Valentina
AU - Huber, Veronika
AU - Lee, Whanhee
AU - Seposo, Xerxes
AU - Honda, Yasushi
AU - Kim, Yoonhee
AU - Guo, Yue Leon
N1 - Funding Information: This article appreciates the contribution of MCC network collaborators. This article is published in memory of Simona Fratianni who helped to contribute the data for Romania. Support for title page creation and format was provided by AuthorArranger, a tool developed at the National Cancer Institute. This study was supported by the Australian Research Council ( DP210102076 ) and the Australian National Health and Medical Research Council ( GNT2000581 ). YW and BW were supported by China Scholarship Council [grant numbers 202006010044 and 202006010043 ]. AU was supported by the Czech Science Foundation (project number 22-24920S ); PHNS by the S\u00E3o Paulo Research Foundation (FAPESP); ST by the Science and Technology Commission of Shanghai Municipality (grant number 18411951600 ); AG and FS by the Medical Research Council UK (grant ID MR/R013349/1 ), the Natural Environment Research Council UK (grant ID NE/R009384/1 ), and the EU\u2019s Horizon 2020 project, Exhaustion (grant ID 820655 ); FdD by the EU\u2019s Horizon 2020 project, Exhaustion (grant ID 820655 ). SL was supported by an Emerging Leader Fellowship of the Australian National Health and Medical Research Council ( GNT2009866 ). YG was supported by the Career Development Fellowship ( GNT1163693 ) and Leader Fellowship ( GNT2008813 ) of the Australian National Health and Medical Research Council. The funders had no role in study design, data collection, analysis, decision to publish, or preparation of the manuscript. Funding Information: This article appreciates the contribution of MCC network collaborators. This article is published in memory of Simona Fratianni who helped to contribute the data for Romania. Support for title page creation and format was provided by AuthorArranger, a tool developed at the National Cancer Institute. This study was supported by the Australian Research Council (DP210102076) and the Australian National Health and Medical Research Council (GNT2000581). YW and BW were supported by China Scholarship Council [grant numbers 202006010044 and 202006010043]. AU was supported by the Czech Science Foundation (project number 22-24920S); PHNS by the S\u00E3o Paulo Research Foundation (FAPESP); ST by the Science and Technology Commission of Shanghai Municipality (grant number 18411951600); AG and FS by the Medical Research Council UK (grant ID MR/R013349/1), the Natural Environment Research Council UK (grant ID NE/R009384/1), and the EU's Horizon 2020 project, Exhaustion (grant ID 820655); FdD by the EU's Horizon 2020 project, Exhaustion (grant ID 820655). SL was supported by an Emerging Leader Fellowship of the Australian National Health and Medical Research Council (GNT2009866). YG was supported by the Career Development Fellowship (GNT1163693) and Leader Fellowship (GNT2008813) of the Australian National Health and Medical Research Council. The funders had no role in study design, data collection, analysis, decision to publish, or preparation of the manuscript. Publisher Copyright: © 2024
PY - 2024/5
Y1 - 2024/5
N2 - Assessing the association between temperature frequency and mortality can provide insights into human adaptation to local ambient temperatures. We collected daily time-series data on mortality and temperature from 757 locations in 47 countries/regions during 1979–2020. We used a two-stage time series design to assess the association between temperature frequency and all-cause mortality. The results were pooled at the national, regional, and global levels. We observed a consistent decrease in the risk of mortality as the normalized frequency of temperature increases across the globe. The average increase in mortality risk comparing the 10th to 100th percentile of normalized frequency was 13.03% (95% CI: 12.17–13.91), with substantial regional differences (from 4.56% in Australia and New Zealand to 33.06% in South Europe). The highest increase in mortality was observed for high-income countries (13.58%, 95% CI: 12.56–14.61), followed by lower-middle-income countries (12.34%, 95% CI: 9.27–15.51). This study observed a declining risk of mortality associated with higher temperature frequency. Our findings suggest that populations can adapt to their local climate with frequent exposure, with the adapting ability varying geographically due to differences in climatic and socioeconomic characteristics.
AB - Assessing the association between temperature frequency and mortality can provide insights into human adaptation to local ambient temperatures. We collected daily time-series data on mortality and temperature from 757 locations in 47 countries/regions during 1979–2020. We used a two-stage time series design to assess the association between temperature frequency and all-cause mortality. The results were pooled at the national, regional, and global levels. We observed a consistent decrease in the risk of mortality as the normalized frequency of temperature increases across the globe. The average increase in mortality risk comparing the 10th to 100th percentile of normalized frequency was 13.03% (95% CI: 12.17–13.91), with substantial regional differences (from 4.56% in Australia and New Zealand to 33.06% in South Europe). The highest increase in mortality was observed for high-income countries (13.58%, 95% CI: 12.56–14.61), followed by lower-middle-income countries (12.34%, 95% CI: 9.27–15.51). This study observed a declining risk of mortality associated with higher temperature frequency. Our findings suggest that populations can adapt to their local climate with frequent exposure, with the adapting ability varying geographically due to differences in climatic and socioeconomic characteristics.
KW - Adaptation
KW - Climate change
KW - Frequency
KW - Mortality
KW - Temperature
UR - http://www.scopus.com/inward/record.url?scp=85192287383&partnerID=8YFLogxK
U2 - 10.1016/j.envint.2024.108691
DO - 10.1016/j.envint.2024.108691
M3 - Article
C2 - 38718673
AN - SCOPUS:85192287383
SN - 0160-4120
VL - 187
JO - Environment International
JF - Environment International
M1 - 108691
ER -