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Table 1 PM1 and male incidence rate: Temperature modification effect

From: Climatic modification effects on the association between PM1 and lung cancer incidence in China

  Binary division Three-category division
Mean male incidence rate = 50.16 Mean male incidence rate = 50.16
β 95% CI β 95% CI
PM1 10.37% *** (6.58%, 14.16%) 5.38%** (0.40%, 10.17%)
Longitude 0.55 *** (0.29, 0.80) 0.49 *** (0.23, 0.75)
Latitude 0.20 (− 0.20, 0.61) 0.61*** (0.14, 1.07)
Year 2015 4.71 *** (1.37, 8.04) 2.98 * (− 0.45, 6.41)
Relative humidity 0.03 (−0.19, 0.26) 0.10 (− 0.12, 0.33)
Finance 0.04 (−0.03, 0.10) 0.03 (−0.03, 0.10)
Education −1.94 * (−4.13, 0.26) −2.40 ** (−4.61, −0.19)
Employment −0.20 (−0.44, 0.04) −0.25 *** (−0.49, − 0.01)
Construction 0.01 (−0.06, 0.08) 0.02 (−0.05, 0.09)
Manufacturing −0.04 *** (−0.07, − 0.01) − 0.03 ** (− 0.06, − 0.01)
Population 0.02 (−0.03, 0.06) 0.01 (−0.04, 0.06)
Urban-rural division 3.18 (−1.02, 7.38) 3.03 (−1.14, 7.21)
PM1 × Temperature2 3.79% *** (1.99%, 5.78%) 4.39% *** (2.19%, 6.58%)
PM1 × Temperature3    8.37% *** (5.18%, 11.56%)
  1. * for p < 0.1, ** for p < 0.05 and *** for p < 0.01. If PM1 changes by 10 μg/m3, the change in incidence rate relative to its mean = (10 × coefficient for PM1 or its interaction terms)/mean incidence rate