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. 2019 Dec 31;16(12):e1003010. doi: 10.1371/journal.pmed.1003010

Table 3. National-average percentage increase with 95% CI in daily hospital admissions for pneumonia associated with a 10 μg/m3 increase in PM2.5 and PM10 concentrations using different lag days in 184 Chinese cities, 2014–2017.

Lag day Percentage increase (95% CI) P value
Unadjusted analyses
 PM2.5
  Lag 0 0.14 (0.04–0.24) 0.007
  Lag 1 0.11 (0.01–0.21) 0.027
  Lag 2 0.15 (0.06–0.25) 0.002
  Lag 0–2 0.23 (0.08–0.37) 0.002
 PM10
  Lag 0 0.11 (0.04–0.18) 0.001
  Lag 1 0.06 (−0.01–0.13) 0.093
  Lag 2 0.10 (0.02–0.17) 0.008
  Lag 0–2 0.15 (0.04–0.25) 0.005
Adjusted analyses*
 PM2.5
  Lag 0 0.23 (0.14–0.33) <0.001
  Lag 1 0.15 (0.05–0.25) 0.004
  Lag 2 0.11 (0.01–0.21) 0.039
  Lag 0–2 0.31 (0.15–0.46) <0.001
 PM10
  Lag 0 0.18 (0.12–0.25) <0.001
  Lag 1 0.08 (0.02–0.15) 0.015
  Lag 2 0.04 (−0.02–0.11) 0.218
  Lag 0–2 0.19 (0.11–0.30) <0.001

*Adjusted for temperature, relative humidity, calendar time, day of the week, and public holiday.

Abbreviations: PM2.5, particulate matter ≤2.5 μm in aerodynamic diameter; PM10, particulate matter ≤10 μm in aerodynamic diameter