TY - JOUR
T1 - A Case-Crossover Analysis of the Association between Exposure to Total PM2.5and Its Chemical Components and Emergency Ambulance Dispatches in Tokyo
AU - Michikawa, Takehiro
AU - Sasaki, Junichi
AU - Yamazaki, Shin
AU - Takami, Akinori
AU - Asakura, Keiko
AU - Imamura, Haruhiko
AU - Ueda, Kayo
AU - Saito, Shinji
AU - Hoshi, Junya
AU - Yoshino, Ayako
AU - Sugata, Seiji
AU - Nitta, Hiroshi
AU - Nishiwaki, Yuji
N1 - Funding Information:
This work was supported by the Japan Society for the Promotion of Science KAKENHI (Grant No. 21K07356) and by the Environment Research and Technology Development Fund of the Environmental Restoration and Conservation Agency of Japan (JPMEERF20175051). These funders were not involved in the design or conduct of the study, the collection, management, analysis, or interpretation of the data, or the preparation, review, or approval of the manuscript.
Publisher Copyright:
© 2022 American Chemical Society. All rights reserved.
PY - 2022/6/7
Y1 - 2022/6/7
N2 - A limited number of studies have investigated the association between short-term exposure to PM2.5components and morbidity. The present case-crossover study explored the association between exposure to total PM2.5and its components and emergency ambulance dispatches, which is one of the indicators of morbidity, in the 23 Tokyo wards. Between 2016 and 2018 (mean mass concentrations of total PM2.513.5 μg/m3), we obtained data, from the Tokyo Fire Department, on the daily cases of ambulance dispatches. Fine particles were collected at a fixed monitoring site and were analyzed to estimate the daily mean concentrations of carbons and ions. We analyzed 1038301 cases of health-based all-cause ambulance dispatches by using a conditional logistic regression model. The average concentrations of total PM2.5over one and the previous day were positively associated with the number of ambulance dispatches. In terms of PM2.5components, the percentage increase per interquartile range (IQR) increase was 0.8% for elemental carbon (IQR = 0.8 μg/m395% CI = 0.3-1.3%), 0.9% for sulfate (2.1 μg/m30.5-1.4%), and 1.1% for ammonium (1.3 μg/m30.4-1.8%) in the PM2.5-adjusted models. This is the first study to find an association between some specific components in PM2.5and ambulance dispatches.
AB - A limited number of studies have investigated the association between short-term exposure to PM2.5components and morbidity. The present case-crossover study explored the association between exposure to total PM2.5and its components and emergency ambulance dispatches, which is one of the indicators of morbidity, in the 23 Tokyo wards. Between 2016 and 2018 (mean mass concentrations of total PM2.513.5 μg/m3), we obtained data, from the Tokyo Fire Department, on the daily cases of ambulance dispatches. Fine particles were collected at a fixed monitoring site and were analyzed to estimate the daily mean concentrations of carbons and ions. We analyzed 1038301 cases of health-based all-cause ambulance dispatches by using a conditional logistic regression model. The average concentrations of total PM2.5over one and the previous day were positively associated with the number of ambulance dispatches. In terms of PM2.5components, the percentage increase per interquartile range (IQR) increase was 0.8% for elemental carbon (IQR = 0.8 μg/m395% CI = 0.3-1.3%), 0.9% for sulfate (2.1 μg/m30.5-1.4%), and 1.1% for ammonium (1.3 μg/m30.4-1.8%) in the PM2.5-adjusted models. This is the first study to find an association between some specific components in PM2.5and ambulance dispatches.
KW - elemental carbon
KW - emergency ambulance dispatches
KW - fine particulate matter
KW - short-term
KW - sulfate
UR - http://www.scopus.com/inward/record.url?scp=85131701238&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85131701238&partnerID=8YFLogxK
U2 - 10.1021/acs.est.1c08219
DO - 10.1021/acs.est.1c08219
M3 - Article
C2 - 35608996
AN - SCOPUS:85131701238
SN - 0013-936X
VL - 56
SP - 7319
EP - 7327
JO - Environmental Science and Technology
JF - Environmental Science and Technology
IS - 11
ER -