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Table 2 Associations between deaths from natural and cause-specific disease and exposures (continuous and dummy)

From: Effects of pollution, low temperature and influenza syndrome on the excess mortality risk in winter 2016–2017

 

Modelsa

PM10

Influenza rates

Temperature

PM10aInfluenza rates

PM10aTemperature

Influenza ratesaTemperature

NATURAL

M1

1.002 (0.999–1.004)

1.198 (1.156–1.241)

0.966 (0.944–0.989)

1.000 (1.000–1.000)

1.000 (1.000–1.001)

1.000 (0.996–1.004)

M2

0.956 (0.880–1.038)

1.712 (1.535–1.909)

1.182 (1.051–1.330)

1.058 (0.944–1.186)

1.070 (0.957–1.195)

0.831 (0.732–0.944)

M3

1.248 (1.148–1.357)

1.827 (1.654–2.019)

1.203 (1.075–1.347)

0.909 (0.810–1.019)

0.948 (0.849–1.059)

0.864 (0.760–0.981)

M4

1.456 (1.334–1.589)

1.931 (1.753–2.128)

1.164 (1.043–1.299)

0.773 (0.685–0.873)

0.953 (0.846–1.073)

0.881 (0.775–1.002)

CARDIOVASCULAR

M1

0.998 (0.993–1.002)

1.153 (1.088–1.223)

0.961 (0.925–0.999)

1.001 (1.000–1.001)

1.000 (1.000–1.001)

1.003 (0.995–1.010)

M2

0.860 (0.750–0.990)

1.600 (1.330–1.920)

1.270 (1.040–1.540)

1.220 (1.010–1.480)

0.970 (0.810–1.170)

0.820 (0.660–1.020)

M3

1.090 (0.950–1.260)

1.680 (1.420–1.990)

1.240 (1.030–1.490)

1.120 (0.920–1.360)

0.910 (0.760–1.100)

0.850 (0.690–1.060)

M4

1.290 (1.110–1.500)

1.820 (1.540–2.140)

1.170 (0.970–1.400)

0.910 (0.740–1.120)

0.970 (0.790–1.180)

0.880 (0.710–1.090)

RESPIRATORY

M5

1.003 (0.995–1.012)

1.303 (1.166–1.456)

0.931 (0.868–1.000)

0.999 (0.998–1.001)

1.000 (0.999–1.001)

1.006 (0.994–1.018)

M6

1.080 (0.830–1.390)

2.620 (1.930–3.560)

1.240 (0.830–1.830)

0.730 (0.520–1.040)

1.290 (0.930–1.790)

0.740 (0.500–1.100)

M7

1.490 (1.150–1.930)

2.680 (2.010–3.580)

1.410 (0.970–2.050)

0.640 (0.450–0.910)

0.950 (0.680–1.320)

0.760 (0.510–1.130)

M8

1.750 (1.340–2.280)

2.800 (2.110–3.710)

1.380 (0.970–1.970)

0.540 (0.380–0.770)

0.940 (0.660–1.320)

0.760 (0.510–1.130)

  1. Note: All estimates, Odds Ratio (OR) and corresponding 95% confidence intervals, are from multivariate conditional logistic model adjusted for holidays
  2. a M1 contains minimum temperature in continuous (lag6, unit of measurement 1 °C), Influenza rates in continuous (lag1, unit of measurement 1 case per 103 persons), PM10 in continuous (lag7, unit of measurement 1 μg/m3) and relative interactions; M2 contains minimum temperature as dummy variable (lag6, cutoff 0 °C), Influenza rates as dummy variable (lag1, 5 case per 103 persons), PM10 as dummy variable (lag7, cutoff 50 μg/m3) and relative interactions; M3 contains minimum temperature as dummy variable (lag6, cutoff 0 °C), Influenza rates as dummy variable (lag1, 5 case per 103 persons), PM10 as dummy variable (lag7, cutoff 60 μg/m3) and relative interactions; M4 contains minimum temperature as dummy variable (lag6, cutoff 0 °C), Influenza rates as dummy variable (lag1, 5 case per 103 persons), PM10 as dummy variable (lag7, cutoff 70 μg/m3) and relative interactions; M5 contains minimum temperature in continuous (lag7, unit of measurement 1 °C), Influenza rates in continuous (lag1, unit of measurement 1 case per 103 persons), PM10 in continuous (lag7, unit of measurement 1 μg/m3) and relative interactions; M6 contains minimum temperature as dummy variable (lag7, cutoff 0 °C), Influenza rates as dummy variable (lag1, 5 case per 103 persons), PM10 as dummy variable (lag7, cutoff 50 μg/m3) and relative interactions; M7 contains minimum temperature as dummy variable (lag7, cutoff 0 °C), Influenza rates as dummy variable (lag1, 5 case per 103 persons), PM10 as dummy variable (lag7, cutoff 60 μg/m3) and relative interactions; M8 contains minimum temperature as dummy variable (lag7, cutoff 0 °C), Influenza rates as dummy variable (lag1, 5 case per 103 persons), PM10 as dummy variable (lag7, cutoff 70 μg/m3) and relative interactions