Temporal change in minimum mortality temperature under changing climate: A multicountry multicommunity observational study spanning 1986–2015
Yang, Daewon; Hashizume, Masahiro; Tobías, Aurelio; Honda, Yasushi; Roye, Dominic; Oh, Jaemin; Dang, Tran Ngoc; Kim, Yoonhee; Abrutzky, Rosana; Guo, Yuming; Tong, Shilu; Coelho, Micheline de Sousa Zanotti Stagliorio; Saldiva, Paulo Hilario Nascimento; Lavigne, Eric; Correa, Patricia Matus; Ortega, Nicolás Valdés; Osorio, Samuel; Kyselý, Jan; Urban, Aleš; Orru, Hans; Indermitte, Ene; Jaakkola, Jouni; Ryti, Niilo; 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; la Cruz Valencia, César De; Overcenco, Ala; Houthuijs, Danny; Ameling, Caroline; Rao, Shilpa; Nunes, Baltazar; Madureira, Joana; Holo-bâc, Iulian Horia; Scovronick, Noah; Acquaotta, Fiorella; Kim, Ho; Lee, Whanhee; Íñiguez, Carmen; Forsberg, Bertil; Vicedo-Cabrera, Ana Maria; Ragettli, Martina S.; Guo, Yue-Liang Leon; Pan, Shih Chun; Li, Shanshan; Sera, Francesco; Zanobetti, Antonella; Schwartz, Joel; Armstrong, Ben; Gasparrini, Antonio; Chung, Yeonseung (2024-09-30)
Lippincott Williams & Wilkins
30.09.2024
Yang, D., Hashizume, M., Tobías, A., Honda, Y., Roye, D., Oh, J., Dang, T. N., Kim, Y., Abrutzky, R., Guo, Y., Tong, S., Coelho, M. D. S. Z. S., Saldiva, P. H. N., Lavigne, E., Correa, P. M., Ortega, N. V., Osorio, S., Kyselý, J., Urban, A., … Chung, Y. (2024). Temporal change in minimum mortality temperature under changing climate: A multicountry multicommunity observational study spanning 1986–2015. Environmental Epidemiology, 8(5), e334. https://doi.org/10.1097/EE9.0000000000000334
https://creativecommons.org/licenses/by/4.0/
© 2024 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The Environmental Epidemiology. All rights reserved. This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
https://creativecommons.org/licenses/by/4.0/
© 2024 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The Environmental Epidemiology. All rights reserved. This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
https://creativecommons.org/licenses/by/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202410146290
https://urn.fi/URN:NBN:fi:oulu-202410146290
Tiivistelmä
Abstract
Background:
The minimum mortality temperature (MMT) or MMT percentile (MMTP) is an indicator of population susceptibility to nonoptimum temperatures. MMT and MMTP change over time; however, the changing directions show region-wide heterogeneity. We examined the heterogeneity of temporal changes in MMT and MMTP across multiple communities and in multiple countries.
Methods:
Daily time-series data for mortality and ambient mean temperature for 699 communities in 34 countries spanning 1986–2015 were analyzed using a two-stage meta-analysis. First, a quasi-Poisson regression was employed to estimate MMT and MMTP for each community during the designated subperiods. Second, we pooled the community-specific temporally varying estimates using mixed-effects meta-regressions to examine temporal changes in MMT and MMTP in the entire study population, as well as by climate zone, geographical region, and country.
Results:
Temporal increases in MMT and MMTP from 19.5 °C (17.9, 21.1) to 20.3 °C (18.5, 22.0) and from the 74.5 (68.3, 80.6) to 75.0 (71.0, 78.9) percentiles in the entire population were found, respectively. Temporal change was significantly heterogeneous across geographical regions (P < 0.001). Temporal increases in MMT were observed in East Asia (linear slope [LS] = 0.91, P = 0.02) and South-East Asia (LS = 0.62, P = 0.05), whereas a temporal decrease in MMT was observed in South Europe (LS = −0.46, P = 0.05). MMTP decreased temporally in North Europe (LS = −3.45, P = 0.02) and South Europe (LS = −2.86, P = 0.05).
Conclusions:
The temporal change in MMT or MMTP was largely heterogeneous. Population susceptibility in terms of optimum temperature may have changed under a warming climate, albeit with large region-dependent variations.
Background:
The minimum mortality temperature (MMT) or MMT percentile (MMTP) is an indicator of population susceptibility to nonoptimum temperatures. MMT and MMTP change over time; however, the changing directions show region-wide heterogeneity. We examined the heterogeneity of temporal changes in MMT and MMTP across multiple communities and in multiple countries.
Methods:
Daily time-series data for mortality and ambient mean temperature for 699 communities in 34 countries spanning 1986–2015 were analyzed using a two-stage meta-analysis. First, a quasi-Poisson regression was employed to estimate MMT and MMTP for each community during the designated subperiods. Second, we pooled the community-specific temporally varying estimates using mixed-effects meta-regressions to examine temporal changes in MMT and MMTP in the entire study population, as well as by climate zone, geographical region, and country.
Results:
Temporal increases in MMT and MMTP from 19.5 °C (17.9, 21.1) to 20.3 °C (18.5, 22.0) and from the 74.5 (68.3, 80.6) to 75.0 (71.0, 78.9) percentiles in the entire population were found, respectively. Temporal change was significantly heterogeneous across geographical regions (P < 0.001). Temporal increases in MMT were observed in East Asia (linear slope [LS] = 0.91, P = 0.02) and South-East Asia (LS = 0.62, P = 0.05), whereas a temporal decrease in MMT was observed in South Europe (LS = −0.46, P = 0.05). MMTP decreased temporally in North Europe (LS = −3.45, P = 0.02) and South Europe (LS = −2.86, P = 0.05).
Conclusions:
The temporal change in MMT or MMTP was largely heterogeneous. Population susceptibility in terms of optimum temperature may have changed under a warming climate, albeit with large region-dependent variations.
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