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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