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Joint effect of heat and air pollution on mortality in 620 cities of 36 countries

Authors :
Massimo Stafoggia
Paola Michelozzi
Alexandra Schneider
Ben Armstrong
Matteo Scortichini
Masna Rai
Souzana Achilleos
Barrak Alahmad
Antonis Analitis
Christofer Åström
Michelle L. Bell
Neville Calleja
Hanne Krage Carlsen
Gabriel Carrasco
John Paul Cauchi
Micheline DSZS Coelho
Patricia M. Correa
Magali H. Diaz
Alireza Entezari
Bertil Forsberg
Rebecca M. Garland
Yue Leon Guo
Yuming Guo
Masahiro Hashizume
Iulian H. Holobaca
Carmen Íñiguez
Jouni J.K. Jaakkola
Haidong Kan
Klea Katsouyanni
Ho Kim
Jan Kyselý
Eric Lavigne
Whanhee Lee
Shanshan Li
Marek Maasikmets
Joana Madureira
Fatemeh Mayvaneh
Chris Fook Sheng Ng
Baltazar Nunes
Hans Orru
Nicolás V Ortega
Samuel Osorio
Alfonso D.L. Palomares
Shih-Chun Pan
Mathilde Pascal
Martina S Ragettli
Shilpa Rao
Raanan Raz
Dominic Roye
Niilo Ryti
Paulo HN Saldiva
Evangelia Samoli
Joel Schwartz
Noah Scovronick
Francesco Sera
Aurelio Tobias
Shilu Tong
César DLC Valencia
Ana Maria Vicedo-Cabrera
Aleš Urban
Antonio Gasparrini
Susanne Breitner
Francesca K. de' Donato
Source :
Environment International, Vol 181, Iss , Pp 108258- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Background: The epidemiological evidence on the interaction between heat and ambient air pollution on mortality is still inconsistent. Objectives: To investigate the interaction between heat and ambient air pollution on daily mortality in a large dataset of 620 cities from 36 countries. Methods: We used daily data on all-cause mortality, air temperature, particulate matter ≤ 10 μm (PM10), PM ≤ 2.5 μm (PM2.5), nitrogen dioxide (NO2), and ozone (O3) from 620 cities in 36 countries in the period 1995–2020. We restricted the analysis to the six consecutive warmest months in each city. City-specific data were analysed with over-dispersed Poisson regression models, followed by a multilevel random-effects meta-analysis. The joint association between air temperature and air pollutants was modelled with product terms between non-linear functions for air temperature and linear functions for air pollutants. Results: We analyzed 22,630,598 deaths. An increase in mean temperature from the 75th to the 99th percentile of city-specific distributions was associated with an average 8.9 % (95 % confidence interval: 7.1 %, 10.7 %) mortality increment, ranging between 5.3 % (3.8 %, 6.9 %) and 12.8 % (8.7 %, 17.0 %), when daily PM10 was equal to 10 or 90 μg/m3, respectively. Corresponding estimates when daily O3 concentrations were 40 or 160 μg/m3 were 2.9 % (1.1 %, 4.7 %) and 12.5 % (6.9 %, 18.5 %), respectively. Similarly, a 10 μg/m3 increment in PM10 was associated with a 0.54 % (0.10 %, 0.98 %) and 1.21 % (0.69 %, 1.72 %) increase in mortality when daily air temperature was set to the 1st and 99th city-specific percentiles, respectively. Corresponding mortality estimate for O3 across these temperature percentiles were 0.00 % (-0.44 %, 0.44 %) and 0.53 % (0.38 %, 0.68 %). Similar effect modification results, although slightly weaker, were found for PM2.5 and NO2. Conclusions: Suggestive evidence of effect modification between air temperature and air pollutants on mortality during the warm period was found in a global dataset of 620 cities.

Details

Language :
English
ISSN :
01604120
Volume :
181
Issue :
108258-
Database :
Directory of Open Access Journals
Journal :
Environment International
Publication Type :
Academic Journal
Accession number :
edsdoj.5918c84dc5c044afae2610fa8a521d1c
Document Type :
article
Full Text :
https://doi.org/10.1016/j.envint.2023.108258