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Comparative Study
. 2024 May:187:108712.
doi: 10.1016/j.envint.2024.108712. Epub 2024 May 3.

Comparison for the effects of different components of temperature variability on mortality: A multi-country time-series study

Bo Wen  1 Yao Wu  1 Yuming Guo  2 Antonio Gasparrini  3 Shilu Tong  4 Ala Overcenco  5 Aleš Urban  6 Alexandra Schneider  7 Alireza Entezari  8 Ana Maria Vicedo-Cabrera  9 Antonella Zanobetti  10 Antonis Analitis  11 Ariana Zeka  12 Aurelio Tobias  13 Baltazar Nunes  14 Barrak Alahmad  10 Ben Armstrong  15 Bertil Forsberg  16 Shih-Chun Pan  17 Carmen Íñiguez  18 Caroline Ameling  19 César De la Cruz Valencia  20 Christofer Åström  16 Danny Houthuijs  19 Do Van Dung  21 Dominic Royé  22 Ene Indermitte  23 Eric Lavigne  24 Fatemeh Mayvaneh  8 Fiorella Acquaotta  25 Francesca de'Donato  26 Shilpa Rao  27 Francesco Sera  28 Gabriel Carrasco-Escobar  29 Haidong Kan  30 Hans Orru  23 Ho Kim  31 Iulian-Horia Holobaca  32 Jan Kyselý  6 Joana Madureira  33 Joel Schwartz  10 Jouni J K Jaakkola  34 Klea Katsouyanni  35 Magali Hurtado Diaz  20 Martina S Ragettli  36 Masahiro Hashizume  37 Mathilde Pascal  38 Micheline de Sousa Zanotti Stagliorio Coélho  39 Nicolás Valdés Ortega  40 Niilo Ryti  34 Noah Scovronick  41 Paola Michelozzi  26 Patricia Matus Correa  40 Patrick Goodman  42 Paulo Hilario Nascimento Saldiva  43 Raanan Raz  44 Rosana Abrutzky  45 Samuel Osorio  46 Tran Ngoc Dang  21 Valentina Colistro  47 Veronika Huber  48 Whanhee Lee  49 Xerxes Seposo  50 Yasushi Honda  51 Yoonhee Kim  52 Yue Leon Guo  53 Michelle L Bell  54 Shanshan Li  55
Affiliations
Comparative Study

Comparison for the effects of different components of temperature variability on mortality: A multi-country time-series study

Bo Wen et al. Environ Int. 2024 May.

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.

Keywords: Inter-day; Intra-day; Mortality; Temperature variability.

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Conflict of interest statement

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1.
Fig. 1.
Location of study areas and mean values of inter-day and intra-day temperature variability (°C, TV0–7).
Fig. 2.
Fig. 2.
Overall percentage change (%) of mortality risk over one interquartile range of inter-day and intra-day TV (TV0–1 to TV0–7).
Fig. 3.
Fig. 3.
Overall percentage change (%) of mortality risk for inter-day and intra-day TV (TV0–1 to TV0–7) in different climate areas (A), seasons (B), and Köppen–Geiger climate groups (C). Definition of abbreviations: (A) C = cold, MC = moderate cold, MW = moderate warm, W = warm; (B) C = cold, M = moderate, W = warm; (C) A = tropical, B = dry, C = temperate, D = continental, and E = polar.
Fig. 4.
Fig. 4.
Overall percentage change (%) of mortality risk for inter-day and intra-day TV0–7 in all countries/regions (A) and locations (B and C).

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