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) |