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Table 2 PM1 and female 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 female incidence rate = 22.37 Mean female incidence rate = 22.37
β 95% CI β 95% CI
PM1 7.15% *** (3.13%, 11.62%) 3.58% (−2.24%, 8.94%)
Longitude 0.32 *** (0.20, 0.45) 0.30 *** (0.17, 0.43)
Latitude 0.55 *** (0.35, 0.75) 0.72 *** (0.49, 0.95)
Year 2015 0.40 (−1.23, 2.03) −0.07 (−1.76, 1.61)
Relative humidity 0.07 (−0.04, 0.18) 0.07 (−0.04, 0.18)
Finance 0.06 *** (0.02, 0.09) 0.05 *** (0.02, 0.09)
Education −1.50 *** (−2.38, −0.61) −1.48 *** (−2.38, −0.58)
Employment −0.03 (−0.15, 0.09) −0.02 (−0.14, 0.10)
Construction −0.05 *** (−0.08, − 0.02) − 0.05 *** (− 0.08, − 0.02)
Manufacturing −0.01 ** (−0.03, 0.00) −0.01 ** (−0.03, 0.00)
Population −0.02 (−0.04, 0.01) −0.02 (−0.04, 0.00)
Urban-rural division 3.11 *** (1.03, 5.19) 2.93 *** (0.86, 5.00)
PM1 × Temperature2 0.89% (−1.34%, 2.68%) 2.68% ** (0.45%, 5.36%)
PM1 × Temperature3    4.92% *** (1.34%, 8.49%)
  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