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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