@article{ref1,
title="Fluctuating temperature modifies heat-mortality association around the globe",
journal="Innovation (New York, N.Y.)",
year="2022",
author="Wu, Yao and Wen, Bo and Li, Shanshan and Gasparrini, Antonio and Tong, Shilu and Overcenco, Ala and Urban, Ales and Schneider, Alexandra and Entezari, Alireza and Vicedo-Cabrera, Ana Maria and Zanobetti, Antonella and Analitis, Antonis and Zeka, Ariana and Tobias, Aurelio and Alahmad, Barrak and Armstrong, Ben and Forsberg, Bertil and Iñiguez, Carmen and Ameling, Caroline and De la Cruz Valencia, César and Aström, Christofer and Houthuijs, Danny and Van Dung, Do and Royé, Dominic and Indermitte, Ene and Lavigne, Eric and Mayvaneh, Fatemeh and Acquaotta, Fiorella and de'Donato, Francesca and Sera, Francesco and Carrasco-Escobar, Gabriel and Kan, Haidong and Orru, Hans and Kim, Ho and Holobaca, Iulian-Horia and Kyselý, Jan and Madureira, Joana and Schwartz, Joel and Katsouyanni, Klea and Hurtado-Díaz, Magali and Ragettli, Martina S. and Hashizume, Masahiro and Pascal, Mathilde and de Sousa Zanotti Stagliorio Coelho, Micheline and Scovronick, Noah and Michelozzi, Paola and Goodman, Patrick and Nascimento Saldiva, Paulo Hilario and Abrutzky, Rosana and Osorio, Samuel and Dang, Tran Ngoc and Colistro, Valentina and Huber, Veronika and Lee, Whanhee and Seposo, Xerxes and Honda, Yasushi and Bell, Michelle L. and Guo, Yuming",
volume="3",
number="2",
pages="100225-100225",
abstract="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. <br><br>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.<p /> <p>Language: en</p>",
language="en",
issn="2666-6758",
doi="10.1016/j.xinn.2022.100225",
url="http://dx.doi.org/10.1016/j.xinn.2022.100225"
}