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. 2015 Apr 13;12(4):4047–4059. doi: 10.3390/ijerph120404047

Table 2.

Associations between daily emergency hospital visits for cardiorespiratory causes and one day of exposure to different sources of high PM10 values at lag 0–7. All models are adjusted for time trend, annual variation, climate and influenza season.

Indicator of PM10 Source Percent Change in Emergency Hospital Visits * Model
% (95% CI) p R2
All sources −0.7 (−2.6, 1.4) 0.519 0.23
-adjusted ** for PM10 −2.4 (−5.6, 0.8) 0.144 0.22
-adjusted for NO2 and H2S 0.2 (−2.2, 2.5) 0.892 0.24
-adjusted for NO2 H2S and PM10 −2.8 (−6.6, 1.2) 0.162 0.25
Volcanic ash 4.8 (0.6, 9.2) 0.024 0.23
-adjusted for PM10 6.1 (0.0, 12.7) 0.052 0.22
-adjusted for NO2 and H2S 6.2 (2.6, 12.5) 0.041 0.25
-adjusted for NO2 H2S and PM10 7.3 (−0.4, 15.5) 0.064 0.25
Dust storm 5.1 (0.5, 9.9) 0.028 0.23
-adjusted for PM10 5.8 (0.9, 19.9) 0.019 0.22
-adjusted for NO2 and H2S 2.1 (−3.3, 8.0) 0.444 0.25
-adjusted for NO2 H2S and PM10 1.2 (−4.6, 7.4) 0.692 0.25
Other sources −3.3 (−5.6, −1.0) 0.007 0.23
-adjusted for PM10 −4.4 (−7.1, −1.7) 0.002 0.22
-adjusted for NO2 and H2S −1.2 (−3.8, 1.5) 0.375 0.25
-adjusted for NO2 H2S and PM10 −3.6 (−6.9, −0.2) 0.036 0.25

* Estimated effects of 1 day with exposure during the lag period (0–7 days). ** n = 1941 for the unadjusted model, n = 1748 for the model adjusted for PM10, n = 1464 for the model adjusted for NO2 and H2S, n = 1403 for the model adjusted for three pollutants.