Table 3.

Examining the effects of variables with binary logistic regression analysis.

	β	S.E.	p	Exp (B)	95% C.I. for exp (B)
					Lower	Upper
Age	−0.015	0.017	0.395	0.985	0.953	1.019
Gender			0.520
Female	−0.404	0.385	0.293	1.498	0.705	3.184
Other	−0.162	0.438	0.711	0.850	0.360	2.008
Vaccine	−2.025	0.317	0 < 0.001	0.132	0.071	0.246
Job			0.300
Retired	−0.461	0.564	0.413	0.63	0.209	1.904
Unemployed	−0.55	0.475	0.246	0.577	0.227	1.463
Student	−0.795	0.525	0.13	0.451	0.161	1.263
Education			0.244
High-school	0.512	0.458	0.264	1.668	0.679	4.096
University	0.542	0.34	0.111	1.719	0.882	3.351
Income (USD)			0.567
> 800	0.297	0.394	0.451	1.346	0.622	2.913
500–799	0.376	0.353	0.287	1.457	0.729	2.912
No other disease	−0.556	0.703	0.429	0.574	0.145	2.277
Diabetes	−0.355	0.811	0.662	0.701	0.143	3.435
Overweight	0.091	0.751	0.903	1.095	0.252	4.77
Hypertension	0.047	0.749	0.950	1.048	0.241	4.553
Cardiovascular disease	−0.738	0.834	0.376	0.478	0.093	2.452
Lung diseases	−1.445	1.655	0.383	0.236	0.009	6.04
Cancer	1.23	1.19	0.301	3.423	0.332	35.267
Chronic renal failure	−1.701	1.421	0.231	0.183	0.011	2.956
Cardiac failure	−0.873	2.146	0.684	0.418	0.006	28.007
Comorbidity	1.29	1.149	0.261	3.634	0.382	34.531
Constant	−0.704	2.434	0.772	0.495

Note: Hosmer–Lemeshow test p:0.979; Cox and Snell R:0.169; Nagelkerke R²: 0.222; Overall percentage: 68.9; Reference category: Simple (first), Reference categories: Gender–Female; Occupation–Full-time; Education–College; Income–< 500 USD; Vaccination–Vaccinated. Bold values indicate statistically significant results (p < 0.05).

Abbreviations: S.E., standard error; C.I., confidence interval; USD, United States Dollars.