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. 2012 Oct 12;6(2):473–486. doi: 10.1007/s11869-012-0185-4

Table 1.

Effect estimates used in PM2.5 health burden analysis

Health effect Outcome definitions Age group Exposure metric Effect estimate Study location Source of effect estimate
Premature mortality All ICD10-coded underlying causes of death 30 and above Annual average Relative risk of 1.056 per 10 μg/m3 increase in PM2.5, model adjusted for seven ecological covariates. USA, 116 cities Krewski et al. (2009)
Emergency department visits—asthma ICD-9:493 All ages Daily 24-h average Relative risk of 1.23 (warm season) and 1.04 (cold season) per 25.4 and 21.7 μg/m3 respective increase in PM2.5 New York City Ito et al. (2007)
Hospital admissions—all cardiovascular causes Outcomes listed as “emergency” or “urgent” as the sum of ICD-9: 402, 410, 414, 427, 428, and 430 40 and above Daily 24-h average 0.8 % (Warm season) and 1.1 % (cold season) increase in daily cardiovascular disease hospitalizations per 10 μg/m3 increase in PM2.5 New York City Ito et al. (2010)
Hospital admissions—all respiratory causes ICD-9: 490-448 20–64 Years Daily 24-h average 2.2 % Increase in daily chronic respiratory disease hospitalizations per 10 μg/m3 increase in PM2.5 Los Angeles, CA Moolgavkar (2000)
ICD-9: 460–519 (cases admitted from the emergency room) 65 and above Daily 24-h average 1.79 % (Winter), 4.34 % (spring), 1.26 % (summer), 1.52 % (autumn) increase in respiratory disease hospitalizations per 10 μg/m3 increase in PM2.5 26 US communities Zanobetti et al. (2009)