Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/28936
Title: Comparison for the effects of different components of temperature variability on mortality: A multi-country time-series study
Authors: Wen, B
Wu, Y
Guo, Y
Gasparrini, A
Tong, S
Overcenco, A
Urban, A
Schneider, A
Entezari, A
Maria Vicedo-Cabrera, A
Zanobetti, A
Analitis, A
Zeka, A
Tobias, A
Nunes, B
Alahmad, B
Armstrong, B
Forsberg, B
Pan, S-C
Íñiguez, 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
Rao, S
Sera, F
Carrasco-Escobar, G
Kan, H
Orru, H
Kim, H
Holobaca, I-H
Kyselý, J
Madureira, J
Schwartz, J
Jaakkola, JJK
Katsouyanni, K
Hurtado Diaz, M
Ragettli, MS
Hashizume, M
Pascal, M
de Sousa Zanotti Stagliorio Coélho, M
Valdés Ortega, N
Ryti, N
Scovronick, N
Michelozzi, P
Matus Correa, P
Goodman, P
Hilario Nascimento Saldiva, P
Raz, R
Abrutzky, R
Osorio, S
Ngoc Dang, T
Colistro, V
Huber, V
Lee, W
Seposo, X
Honda, Y
Kim, Y
Leon Guo, Y
Bell, ML
Li, S
Keywords: temperature variability;mortality;inter-dayI;intra-day
Issue Date: 3-May-2024
Publisher: Elsevier
Citation: Wen, B. et al. (2024) 'Comparison for the effects of different components of temperature variability on mortality: A multi-country time-series study', Environment International, 187, 108712, pp. 1 - 13. doi: 10.1016/j.envint.2024.108712.
Abstract: Background: Temperature variability (TV) is associated with increased mortality risk. However, it is still unknown whether intra-day or inter-day TV has a higher effect. Objectives: We aimed to assess the association of intra-day TV and inter-day TV with all-cause, cardiovascular, and respiratory mortality. Methods: We collected data on total, cardiovascular, and respiratory mortality and meteorology from 758 locations in 47 countries or regions from 1972 to 2020. We defined inter-day TV as the standard deviation (SD) of daily mean temperatures across the lag interval, and intra-day TV as the average SD of minimum and maximum temperatures on each day. In the first stage, inter-day and intra-day TVs were modelled simultaneously in the quasi-Poisson time-series model for each location. In the second stage, a multi-level analysis was used to pool the location-specific estimates. Results: Overall, the mortality risk due to each interquartile range [IQR] increase was higher for intra-day TV than for inter-day TV. The risk increased by 0.59% (95% confidence interval [CI]: 0.53, 0.65) for all-cause mortality, 0.64% (95% CI: 0.56, 0.73) for cardiovascular mortality, and 0.65% (95% CI: 0.49, 0.80) for respiratory mortality per IQR increase in intra-day TV0–7 (0.9 °C). An IQR increase in inter-day TV0–7 (1.6 °C) was associated with 0.22% (95% CI: 0.18, 0.26) increase in all-cause mortality, 0.44% (95% CI: 0.37, 0.50) increase in cardiovascular mortality, and 0.31% (95% CI: 0.21, 0.41) increase in respiratory mortality. The proportion of all-cause deaths attributable to intra-day TV0–7 and inter-day TV0–7 was 1.45% and 0.35%, respectively. The mortality risks varied by lag interval, climate area, season, and climate type. Conclusions: Our results indicated that intra-day TV may explain the main part of the mortality risk related to TV and suggested that comprehensive evaluations should be proposed in more countries to help protect human health.
Description: Data availability: The authors do not have permission to share data.
Supplementary data are available online at: https://www.sciencedirect.com/science/article/pii/S0160412024002988?via%3Dihub#s0095 .
URI: https://bura.brunel.ac.uk/handle/2438/28936
DOI: https://doi.org/10.1016/j.envint.2024.108712
ISSN: 0160-4120
Other Identifiers: ORCiD: Yao Wu https://orcid.org/0000-0002-8105-0522
ORCiD: Antonio Gasparrini https://orcid.org/0000-0002-2271-3568
ORCiD: Ala Overcenco https://orcid.org/0000-0002-6970-9216
ORCiD: Alexandra Schneider https://orcid.org/0000-0002-1084-2442
ORCiD: Ariana Zeka https://orcid.org/0000-0002-9570-8831
ORCiD: Aurelio Tobias https://orcid.org/0000-0001-6428-6755
ORCiD: Shih-Chun Pan https://orcid.org/0000-0003-2362-3940
ORCiD: Carmen Íñiguez https://orcid.org/0000-0003-3471-4928
ORCiD: Francesca de’Donato https://orcid.org/0000-0002-2225-9457
ORCiD: Francesco Sera https://orcid.org/0000-0002-8890-6848
ORCiD: Haidong Kan https://orcid.org/0000-0002-1871-8999
ORCiD: Iulian-Horia Holobaca https://orcid.org/0000-0002-6170-1287
ORCiD: Joana Madureira https://orcid.org/0000-0001-5279-877X
ORCiD: Martina S. Ragettli https://orcid.org/0000-0001-7417-3287
ORCiD: Raanan Raz https://orcid.org/0000-0001-7869-3909
ORCiD: Yasushi Honda https://orcid.org/0000-0003-2248-1629
ORCiD: Yoonhee Kim https://orcid.org/0000-0003-2517-1087
ORCiD: Michelle L. Bell https://orcid.org/0000-0002-3965-1359
108712
Appears in Collections:Institute for the Environment

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