TY - JOUR
T1 - Ambient carbon monoxide and daily mortality
T2 - a global time-series study in 337 cities
AU - Chen, Kai
AU - Breitner, Susanne
AU - Wolf, Kathrin
AU - Stafoggia, Massimo
AU - Sera, Francesco
AU - Vicedo-Cabrera, Ana M.
AU - Guo, Yuming
AU - Tong, Shilu
AU - Lavigne, Eric
AU - Matus, Patricia
AU - Valdés, Nicolás
AU - Kan, Haidong
AU - Jaakkola, Jouni J.K.
AU - Ryti, Niilo R.I.
AU - Huber, Veronika
AU - Scortichini, Matteo
AU - Hashizume, Masahiro
AU - Honda, Yasushi
AU - Nunes, Baltazar
AU - Madureira, Joana
AU - Holobâcă, Iulian Horia
AU - Fratianni, Simona
AU - Kim, Ho
AU - Lee, Whanhee
AU - Tobias, Aurelio
AU - Íñiguez, Carmen
AU - Forsberg, Bertil
AU - Åström, Christofer
AU - Ragettli, Martina S.
AU - Guo, Yue Liang Leon
AU - Chen, Bing Yu
AU - Li, Shanshan
AU - Milojevic, Ai
AU - Zanobetti, Antonella
AU - Schwartz, Joel
AU - Bell, Michelle L.
AU - Gasparrini, Antonio
AU - Schneider, Alexandra
N1 - Copyright © 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license. Published by Elsevier Ltd.. All rights reserved.
PY - 2021/4
Y1 - 2021/4
N2 - Background: Epidemiological evidence on short-term association between ambient carbon monoxide (CO) and mortality is inconclusive and limited to single cities, regions, or countries. Generalisation of results from previous studies is hindered by potential publication bias and different modelling approaches. We therefore assessed the association between short-term exposure to ambient CO and daily mortality in a multicity, multicountry setting. Methods: We collected daily data on air pollution, meteorology, and total mortality from 337 cities in 18 countries or regions, covering various periods from 1979 to 2016. All included cities had at least 2 years of both CO and mortality data. We estimated city-specific associations using confounder-adjusted generalised additive models with a quasi-Poisson distribution, and then pooled the estimates, accounting for their statistical uncertainty, using a random-effects multilevel meta-analytical model. We also assessed the overall shape of the exposure–response curve and evaluated the possibility of a threshold below which health is not affected. Findings: Overall, a 1 mg/m3 increase in the average CO concentration of the previous day was associated with a 0·91% (95% CI 0·32–1·50) increase in daily total mortality. The pooled exposure–response curve showed a continuously elevated mortality risk with increasing CO concentrations, suggesting no threshold. The exposure–response curve was steeper at daily CO levels lower than 1 mg/m3, indicating greater risk of mortality per increment in CO exposure, and persisted at daily concentrations as low as 0·6 mg/m3 or less. The association remained similar after adjustment for ozone but was attenuated after adjustment for particulate matter or sulphur dioxide, or even reduced to null after adjustment for nitrogen dioxide. Interpretation: This international study is by far the largest epidemiological investigation on short-term CO-related mortality. We found significant associations between ambient CO and daily mortality, even at levels well below current air quality guidelines. Further studies are warranted to disentangle its independent effect from other traffic-related pollutants. Funding: EU Horizon 2020, UK Medical Research Council, and Natural Environment Research Council.
AB - Background: Epidemiological evidence on short-term association between ambient carbon monoxide (CO) and mortality is inconclusive and limited to single cities, regions, or countries. Generalisation of results from previous studies is hindered by potential publication bias and different modelling approaches. We therefore assessed the association between short-term exposure to ambient CO and daily mortality in a multicity, multicountry setting. Methods: We collected daily data on air pollution, meteorology, and total mortality from 337 cities in 18 countries or regions, covering various periods from 1979 to 2016. All included cities had at least 2 years of both CO and mortality data. We estimated city-specific associations using confounder-adjusted generalised additive models with a quasi-Poisson distribution, and then pooled the estimates, accounting for their statistical uncertainty, using a random-effects multilevel meta-analytical model. We also assessed the overall shape of the exposure–response curve and evaluated the possibility of a threshold below which health is not affected. Findings: Overall, a 1 mg/m3 increase in the average CO concentration of the previous day was associated with a 0·91% (95% CI 0·32–1·50) increase in daily total mortality. The pooled exposure–response curve showed a continuously elevated mortality risk with increasing CO concentrations, suggesting no threshold. The exposure–response curve was steeper at daily CO levels lower than 1 mg/m3, indicating greater risk of mortality per increment in CO exposure, and persisted at daily concentrations as low as 0·6 mg/m3 or less. The association remained similar after adjustment for ozone but was attenuated after adjustment for particulate matter or sulphur dioxide, or even reduced to null after adjustment for nitrogen dioxide. Interpretation: This international study is by far the largest epidemiological investigation on short-term CO-related mortality. We found significant associations between ambient CO and daily mortality, even at levels well below current air quality guidelines. Further studies are warranted to disentangle its independent effect from other traffic-related pollutants. Funding: EU Horizon 2020, UK Medical Research Council, and Natural Environment Research Council.
KW - Air Pollutants
KW - Air Pollution
KW - Carbon Monoxide
KW - Cardiovascular Diseases
KW - Cities
KW - Humans
UR - http://www.scopus.com/inward/record.url?scp=85103991733&partnerID=8YFLogxK
U2 - 10.1016/S2542-5196(21)00026-7
DO - 10.1016/S2542-5196(21)00026-7
M3 - Article
C2 - 33838734
AN - SCOPUS:85103991733
SN - 2542-5196
VL - 5
SP - e191-e199
JO - The Lancet Planetary Health
JF - The Lancet Planetary Health
IS - 4
ER -