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The relationships between short-term exposure to particulate matter and mortality in Korea

Impact of particulate matter exposure metrics for sub-daily exposures

Bibliographic Data

ID15544829
AuthorsJi-Young Son (0009-0002-0071-9341, Yale University), Mary Lou Bell (0000-0002-3965-1359, Yale University, corresponding author), Michelle L Bell
Year2013
Volume8
Issue1
Pages014015-014015
Publication date2013-01-31
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/8/1/014015
PMID25580157
PMCIDPMC4288032
OpenAlexW1976800678
LanguageEN
Citations received1
References cited37

Most studies of short-term particulate matter (PM) exposure use 24-hour averages. However, other pollutants have stronger effects at shorter timeframes, which has influenced policy (e.g., ozone 8-hour maximum). Selecting appropriate exposure timeframes is important for effective regulation. The U.S. EPA identified health effects for sub-daily PM exposures as a critical research need. Unlike most areas, Seoul, Korea has hourly measurements of PM 10 , although not PM 2.5 . We investigated PM 10 and mortality (total, cardiovascular, respiratory) in Seoul (1999-2009) considering sub-daily exposures: 24-hour, daytime (7am-8pm), morning (7-10am), nighttime (8pm-7am), and 1-hour daily maximum. We applied Poisson generalized linear modeling adjusting for temporal trends and meteorology. All PM 10 metrics were significantly associated with total mortality. Compared to other exposure timeframes, morning exposure had the most certain effect with total mortality (based on statistical significance). A 10μg/m 3 increase in 24-hour, daytime, morning, nighttime, and 1-hour maximum PM 10 was associated with a 0.15% (95% confidence interval 0.02-0.28%), 0.14% (0.01-0.27%), 0.10% (0.03-0.18%), 0.12% (0.03-0.22%), and 0.10% (0.00-0.21%) increase in total mortality, respectively. PM 10 was significantly associated with cardiovascular mortality for 24-hour, morning, and nighttime exposures. We did not identify significant associations with respiratory mortality. Results support use of a 24-hour averaging time as an appropriate metric for health studies and regulation, particularly for PM 10 and mortality

Atmospheric sciences · Confidence interval · Environmental health · Morning · Particulates · Poisson regression · Population · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Chemistry · Climate Change and Health Impacts · Environmental Science · Medicine · Demography · Internal Medicine

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Citations per year0.08
Citation span2014 - 2014 (1)
Highly citedNo

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