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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