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Table 5 Different cut-offs of climatic factors to stratify data

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

  Air temperature   Relative humidity
Mean male incidence rate = 50.16 Mean male incidence rate = 50.16
β 95% CI β 95% CI
PM1 7.18% *** (2.79%, 11.36%) PM1 4.71% ** (−0.05%, 9.48%)
Longitude 0.53 *** (0.27, 0.78) Longitude 0.36 *** (0.09, 0.64)
Latitude 0.49 ** (0.05, 0.92) Latitude 1.57 *** (0.77, 2.37)
Year 2015 3.73 ** (0.39, 7.06) Year 2015 0.97 (−2.88, 4.82)
Relative humidity 0.03 (−0.19, 0.26) Air temperature 1.86 *** (1.01, 2.71)
Finance 0.05 (−0.02, 0.11) Finance 0.04 (−0.02, 0.11)
Education −2.18 ** (−4.37, 0.01) Education −2.16 ** (−4.35, 0.02)
Employment −0.21 * (−0.45, 0.03) Employment −0.26 ** (−0.51, − 0.02)
Construction 0.03 (−0.04, 0.09) Construction 0.01 (−0.06, 0.08)
Manufacturing −0.04 *** (−0.07, − 0.01) Manufacturing −0.04 *** (−0.06, − 0.01)
Population 0.01 (−0.04, 0.05) Population 0.00 (−0.05, 0.05)
Urban-rural 2.34 (−1.84, 6.52) Urban-rural 3.43 * (−0.73, 7.60)
PM1 × Temperature2 3.59% *** (1.79%, 5.58%) PM1 × Humidity2 1.50% * (−0.32%, 3.33%)
PM1 × Temperature3 6.98% *** (4.39%, 9.57%) PM1 × Humidity3 3.75% *** (1.52%, 5.99%)
  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