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Table 6 Air temperature over a single year as a further proxy of climatic condition

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 10.77% *** (6.98%, 14.55%) 4.78% ** (0.00%, 9.77%)
Longitude 0.55 *** (0.29, 0.81) 0.52 *** (0.27, 0.78)
Latitude 0.13 (−0.28, 0.54) 0.62 *** (0.17, 1.08)
Year 2015 4.72 *** (1.36, 8.08) 2.97 * (−0.43, 6.38)
Relative humidity 0.04 (−0.19, 0.27) 0.09 (−0.13, 0.31)
Finance 0.04 (−0.03, 0.10) 0.03 (−0.03, 0.10)
Education −2.08 ** (−4.29, 0.13) −2.22 ** (−4.40, −0.03)
Employment −0.22 ** (−0.47, 0.02) −0.24 ** (−0.48, 0.00)
Construction 0.01 (−0.06, 0.08) 0.02 (−0.04, 0.09)
Manufacturing −0.04 *** (−0.07, − 0.01) − 0.04 *** (− 0.06, − 0.01)
Population 0.02 (−0.03, 0.06) 0.01 (−0.04, 0.05)
Urban-rural division 3.45 (−0.77, 7.68) 3.06 (−1.09, 7.22)
PM1 × Temperature2 3.19% *** (1.20%, 4.98%) 4.59% *** (2.39%, 6.78%)
PM1 × Temperature3    8.97% *** (5.98%, 12.16%)
  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