Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/160637
Author(s): Wen, B
Wu, Y
Guo, Y
Gasparrini, A
Tong, S
Overcenco, A
Urban, A
Schneider, A
Entezari, A
Vicedo-Cabrera, AM
Zanobetti, A
Analitis, A
Zeka, A
Tobias, A
Nunes, B
Alahmad, B
Armstrong, B
Forsberg, B
Pan, S-C
Íñiguez, C
Ameling, C
Valencia, CDLC
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, IH
Kyselý, J
Madureira, J
Schwartz, J
Jaakkola, JJK
Katsouyanni, K
Diaz, MH
Ragettli, MS
Hashizume, M
Pascal, M
Coélho, MDSZS
Ortega, NV
Ryti, N
Scovronick, N
Michelozzi, P
Matus Correa, P
Goodman, P
Saldiva, PHN
Raz, R
Abrutzky, R
Osorio, S
Dang, TN
Colistro, V
Huber, V
Lee, W
Seposo, X
Honda, Y
Kim, Y
Guo, YL
Bell, ML
Li, S
Title: Comparison for the effects of different components of temperature variability on mortality: A multi-country time-series study
Publisher: Elsevier
Issue Date: 2024
Abstract: Background: Temperature variability (TV) is associated with increased mortality risk. However, it is still unknown whether intra-day or inter-day TV has different effects. 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. © 2024
DOI: 10.1016/j.envint.2024.108712
URI: https://hdl.handle.net/10216/160637
Source: Environ Int. 2024 May:187:108712. doi: 10.1016/j.envint.2024.108712. Epub 2024 May 3.
Document Type: Artigo em Revista Científica Internacional
Rights: openAccess
License: https://creativecommons.org/licenses/by/4.0/
Appears in Collections:ISPUP - Artigo em Revista Científica Internacional

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