Comparison for the effects of different components of temperature variability on mortality: A multi-country time-series study.
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BORIS DOI
Date of Publication
May 2024
Publication Type
Article
Division/Institute
Contributor
Wen, Bo | |
Wu, Yao | |
Guo, Yuming | |
Gasparrini, Antonio | |
Tong, Shilu | |
Overcenco, Ala | |
Urban, Aleš | |
Schneider, Alexandra | |
Entezari, Alireza | |
Zanobetti, Antonella | |
Analitis, Antonis | |
Zeka, Ariana | |
Tobias, Aurelio | |
Nunes, Baltazar | |
Alahmad, Barrak | |
Armstrong, Ben | |
Forsberg, Bertil | |
Pan, Shih-Chun | |
Íñiguez, Carmen | |
Ameling, Caroline | |
Valencia, César De la Cruz | |
Åström, Christofer | |
Houthuijs, Danny | |
Van Dung, Do | |
Royé, Dominic | |
Indermitte, Ene | |
Lavigne, Eric | |
Mayvaneh, Fatemeh | |
Acquaotta, Fiorella | |
de'Donato, Francesca | |
Rao, Shilpa | |
Sera, Francesco | |
Carrasco-Escobar, Gabriel | |
Kan, Haidong | |
Orru, Hans | |
Kim, Ho | |
Holobaca, Iulian-Horia | |
Kyselý, Jan | |
Madureira, Joana | |
Schwartz, Joel | |
Jaakkola, Jouni J K | |
Katsouyanni, Klea | |
Diaz, Magali Hurtado | |
Ragettli, Martina S | |
Hashizume, Masahiro | |
Pascal, Mathilde | |
Coélho, Micheline de Sousa Zanotti Stagliorio | |
Ortega, Nicolás Valdés | |
Ryti, Niilo | |
Scovronick, Noah | |
Michelozzi, Paola | |
Matus Correa, Patricia | |
Goodman, Patrick | |
Saldiva, Paulo Hilario Nascimento | |
Raz, Raanan | |
Abrutzky, Rosana | |
Osorio, Samuel | |
Dang, Tran Ngoc | |
Colistro, Valentina | |
Huber, Veronika | |
Lee, Whanhee | |
Seposo, Xerxes | |
Honda, Yasushi | |
Kim, Yoonhee | |
Guo, Yue Leon | |
Bell, Michelle L | |
Li, Shanshan |
Series
Environment International
ISSN or ISBN (if monograph)
0160-4120
Publisher
Elsevier
Language
English
Publisher DOI
PubMed ID
38714028
Uncontrolled Keywords
Description
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.
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.
File(s)
| File | File Type | Format | Size | License | Publisher/Copright statement | Content | |
|---|---|---|---|---|---|---|---|
| comparison_for_the_effects_of_different_components.pdf | text | Adobe PDF | 2.69 MB | Attribution (CC BY 4.0) | published |