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Wu, Y.* ; Wen, B.* ; Li, S.* ; Gasparrini, A.* ; Tong, S.* ; Overcenco, A.* ; Urban, A.* ; Schneider, A.E. ; Entezari, A.* ; Vicedo-Cabrera, A.M.* ; Zanobetti, A.* ; Analitis, A.* ; Zeka, A.* ; Tobias, A.* ; Alahmad, B.* ; Armstrong, B.* ; Forsberg, B.* ; Iñiguez, C.* ; Ameling, C.* ; De la Cruz Valencia, C.* ; Åström, C.* ; Houthuijs, D.* ; Van Dung, D.* ; Royé, D.* ; Indermitte, E.* ; Lavigne, E.* ; Mayvaneh, F.* ; Acquaotta, F.* ; de'Donato, F.* ; Sera, F.* ; Carrasco-Escobar, G.* ; Kan, H.* ; Orru, H.* ; Kim, H.* ; Holobaca, I.H.* ; Kyselý, J.* ; Madureira, J.* ; Schwartz, J.* ; Katsouyanni, K.* ; Hurtado-Diaz, M.* ; Ragettli, M.S.* ; Hashizume, M.* ; Pascal, M.* ; de Sousa Zanotti Stagliorio Coélho, M.* ; Scovronick, N.* ; Michelozzi, P.* ; Goodman, P.J.* ; Nascimento Saldiva, P.H.* ; Abrutzky, R.* ; Osorio, S.* ; Dang, T.N.* ; Colistro, V.* ; Huber, V.* ; Lee, W.* ; Seposo, X.* ; Honda, Y.* ; Bell, M.L.* ; Guo, Y.*

Fluctuating temperature modifies heat-mortality association around the globe.

Innovation 3:100225 (2022)
Postprint Forschungsdaten DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
Studies have investigated the effects of heat and temperature variability (TV) on mortality. However, few assessed whether TV modifies the heat-mortality association. Data on daily temperature and mortality in the warm season were collected from 717 locations across 36 countries. TV was calculated as the standard deviation of the average of the same and previous days’ minimum and maximum temperatures. We used location-specific quasi-Poisson regression models with an interaction term between the cross-basis term for mean temperature and quartiles of TV to obtain heat-mortality associations under each quartile of TV, and then pooled estimates at the country, regional, and global levels. Results show the increased risk in heat-related mortality with increments in TV, accounting for 0.70% (95% confidence interval [CI]: −0.33 to 1.69), 1.34% (95% CI: −0.14 to 2.73), 1.99% (95% CI: 0.29–3.57), and 2.73% (95% CI: 0.76–4.50) of total deaths for Q1–Q4 (first quartile–fourth quartile) of TV. The modification effects of TV varied geographically. Central Europe had the highest attributable fractions (AFs), corresponding to 7.68% (95% CI: 5.25–9.89) of total deaths for Q4 of TV, while the lowest AFs were observed in North America, with the values for Q4 of 1.74% (95% CI: −0.09 to 3.39). TV had a significant modification effect on the heat-mortality association, causing a higher heat-related mortality burden with increments of TV. Implementing targeted strategies against heat exposure and fluctuant temperatures simultaneously would benefit public health.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Heat ; Modification Effect ; Mortality ; Temperature Variability
Sprache englisch
Veröffentlichungsjahr 2022
HGF-Berichtsjahr 2022
ISSN (print) / ISBN 2666-6758
e-ISSN 2666-6758
Zeitschrift Innovation
Quellenangaben Band: 3, Heft: 2, Seiten: , Artikelnummer: 100225 Supplement: ,
Verlag Zeiss
Institut(e) Institute of Epidemiology (EPI)
POF Topic(s) 30202 - Environmental Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-504000-001
Förderungen Medical Research Council
DOI 10.1016/j.xinn.2022.100225
Scopus ID 85126703036
PubMed ID 35340394
Erfassungsdatum 2022-05-16
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