Table 2.

The results of the logistics regression model.

	Estimate	Std. error	z value	Pr( >|z|)	VIF
(Intercept)	− 0.898	1.838	− 0.488	0.625
Stomach cancer	− 1.279	0.561	− 2.278	0.023	1.225
Esophageal cancer	0.668	0.621	1.076	0.282	1.202
Liver cancer	− 0.275	0.486	− 0.567	0.571	1.213
Divorce	2.955	1.159	2.549	0.011	1.190
Bereave	3.087	0.827	3.733	0.000	1.346
Unmarried	− 15.980	972.400	− 0.016	0.987	1.000
Middle income level	0.821	0.385	2.133	0.033	1.714
Higher income level	0.357	0.874	0.409	0.683	1.313
Worker	0.312	0.451	0.692	0.489	1.384
Farming	0.782	0.615	1.271	0.204	1.219
Teacher and staff	− 16.310	2400.000	− 0.007	0.995	1.000
Government offical	− 0.625	0.561	− 1.113	0.266	1.207
Residence-rural	0.344	0.390	0.882	0.378	1.584
Residence-town	0.695	0.429	1.620	0.105	1.764
Residence-city	16.890	1037.000	0.016	0.987	1.000
Weight_loss_within_3_months < 1 kg	− 0.187	0.845	− 0.222	0.825	1.196
Weight_loss_within_3_months 1 ~ 3 kg	1.427	0.390	3.659	0.000	1.600
Weight_loss_within_3_months 3 ~ 5 kg	1.185	0.636	1.863	0.062	1.224
Weight_loss_within_3_months > 5 kg	0.500	0.416	1.201	0.230	1.562
Current NRS pain score_	0.753	0.143	5.265	0.000	1.535
Serum potassium	− 0.661	0.328	− 2.012	0.044	1.339
Total protein	− 0.028	0.018	− 1.561	0.118	1.408
White blood cell	0.092	0.026	3.586	0.000	1.273
Hemoglobin	0.005	0.007	0.688	0.492	1.275
General quality of life within a week	0.064	0.116	0.556	0.578	1.418
Diarrhea	− 0.017	0.009	− 1.828	0.068	1.351