Table 3

Effects of different fractions of PM10 on emergency hospital admissions for pneumonia by lags in single pollutant models, 2011–2012* (ER% (95% CI) for 10 μg/m3 increment of PM)

Lag daysPMcPM2.5
Lag01.06 (−0.22 to 2.35)0.68 (−0.07 to 1.43)
lag11.57 (0.42 to 2.73)0.72 (0.00 to 1.44)
lag21.83 (0.70 to 2.97)0.85 (0.15 to 1.56)
lag31.76 (0.65 to 2.88)1.15 (0.46 to 1.84)
lag41.14 (0.03 to 2.26)1.47 (0.80 to 2.14)
lag51.07 (−0.03 to 2.19)0.89 (0.22 to 1.57)
lag60.82 (−0.27 to 1.93)0.34 (−0.33 to 1.02)
dlm03†3.33 (1.54 to 5.15)1.69 (0.68 to 2.70)
dlm46†0.97 (−0.65 to 2.62)1.16 (0.20 to 2.14)
  • *Generalised additive Poisson models were used, adjusting for long-term trend, seasonality, weather factors, calendar effect and influenza epidemics.

  • †Overall cumulative effects of DTR lasting for 0–3 (dlm03) and 4–6 days (dlm46) were estimated by unconstrained distributed lag models. Statistically significant effect estimates are in bold.

  • ER, excess risk; PM2.5, particles with an aerodynamic diameter less than 2.5 μm; PMc, coarse particulate matter.