Table 6 Model screening and fitting results of regression analysis of environmental factors and lung cancer mortality.

Variable	Males					Females					Overall
Variable	Model	Coefficient	Std. error	Statistic	P	Model	Coefficient	Std. error	Statistic	P	Model	Coefficient	Std. error	Statistic	P
PM2.5	OLS	0.820	0.521	1.574	0.141	OLS	0.117	0.230	0.508	0.621	OLS	0.431	0.349	1.234	0.241
NDVI	OLS	− 88.172	54.761	− 1.610	0.133	OLS	− 58.979	17.665	− 3.339	0.006	OLS	− 68.603	33.767	− 2.032	0.065
Population density	OLS	− 74.544	77.929	− 0.957	0.358	OLS	10.560	32.704	0.323	0.752	OLS	− 35.550	51.393	− 0.692	0.502
Economic density	OLS	− 6.969	6.769	− 1.029	0.324	OLS	1.175	2.849	0.412	0.687	OLS	− 3.234	4.482	− 0.722	0.484
GDPPC	OLS	1.372	1.409	0.974	0.349	OLS	1.018	0.517	1.970	0.072	OLS	1.083	0.896	1.210	0.250
Number of medical beds	OLS	− 0.238	0.097	− 2.461	0.030	OLS	− 0.040	0.047	− 0.849	0.412	OLS	− 0.140	0.065	− 2.143	0.053
Number of Doctors	OLS	− 0.596	0.232	− 2.567	0.025	OLS	− 0.056	0.116	− 0.487	0.635	OLS	− 0.328	0.162	− 2.029	0.065
Urbanization rate	OLS	− 69.960	107.280	− 0.652	0.527	OLS	− 30.739	43.455	− 0.707	0.493	OLS	54.012	69.026	− 0.782	0.449
Total grain production	OLS	0.020	0.309	0.066	0.949	OLS	− 0.053	0.125	− 0.423	0.680	OLS	− 0.022	0.201	− 0.109	0.914
Number of industrial enterprises	OLS	4.125	9.164	0.450	0.661	OLS	2.164	3.702	0.585	0.570	OLS	2.480	5.948	0.417	0.684

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