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Table 4 Explanatory powers of the social–environmental factors for the IMLC in both males and females obtained via the factor detector

From: Determining the effects of social–environmental factors on the incidence and mortality of lung cancer in China based on remote sensing and GIS technology during 2007–2016

Independent variables

Incidence in males

Incidence in females

Mortality in males

Mortality in females

q-statistic

p-value

q-statistic

p-value

q-statistic

p-value

q-statistic

p-value

PM2.5

0.031

 < 0.001

0.033

 < 0.001

0.029

 < 0.001

0.028

0.001

PM10

0.016

0.014

0.039

 < 0.001

0.015

0.002

0.034

 < 0.001

SO2

0.016

0.084

0.020

0.005

0.023

0.001

0.035

 < 0.001

NO2

0.033

 < 0.001

0.033

 < 0.001

0.041

 < 0.001

0.038

 < 0.001

O3

0.032

 < 0.001

0.164

 < 0.001

0.039

 < 0.001

0.240

 < 0.001

NDVI

0.014

 < 0.001

0.023

 < 0.001

0.017

0.008

0.028

0.001

Blowing sand

0.026

 < 0.001

0.053

 < 0.001

0.030

0.027

0.071

 < 0.001

Floating dust

0.018

0.001

0.031

 < 0.001

0.018

 < 0.001

0.039

 < 0.001

Haze

0.013

0.616

0.025

0.020

0.012

0.581

0.018

0.099

Sandstorms

0.017

0.060

0.014

0.102

0.022

0.003

0.023

0.003

Temperature

0.031

 < 0.001

0.070

 < 0.001

0.030

 < 0.001

0.107

 < 0.001

Hospitals

0.061

 < 0.001

0.039

 < 0.001

0.058

 < 0.001

0.047

 < 0.001

Medical beds

0.069

 < 0.001

0.040

 < 0.001

0.073

 < 0.001

0.037

 < 0.001

Doctors

0.071

 < 0.001

0.073

 < 0.001

0.078

 < 0.001

0.075

 < 0.001

Road area

0.073

 < 0.001

0.052

 < 0.001

0.085

 < 0.001

0.045

 < 0.001

Economic density

0.040

 < 0.001

0.017

0.020

0.059

 < 0.001

0.018

0.028

Population density

0.055

 < 0.001

0.017

0.144

0.068

 < 0.001

0.017

 < 0.001

Terrain undulation

0.092

 < 0.001

0.060

 < 0.001

0.091

 < 0.001

0.057

 < 0.001

Geomorphic type

0.066

 < 0.001

0.039

 < 0.001

0.061

 < 0.001

0.037

 < 0.001

Types of land use

0.034

 < 0.001

0.024

 < 0.001

0.040

 < 0.001

0.023

 < 0.001