Autor(es):
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
Data: 2024
Identificador Persistente: https://hdl.handle.net/10216/160637
Origem: Repositório Aberto da Universidade do Porto
Descrição
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
