Table 7.

Multivariable analyses.

Model 1: Linear Regression Taking the Knowledge Score as the Dependent Variable (ENTER Method) (R2 = 0.055)
	Beta	β	p	95% CI
Education (postgraduate vs. bachelor *)	0.14	0.02	0.595	−0.38; 0.66
Physician vs. other *	2.92	0.43	<0.001	1.62; 4.23
Pharmacist vs. other *	1.78	0.29	0.005	0.54; 3.02
Nurse vs. other *	2.44	0.35	<0.001	1.16; 3.71
Age	0.01	0.03	0.499	−0.02; 0.04
Model 2: Linear regression taking the conspiracy beliefs score as the dependent variable (ENTER method) (R2 = 0.177)
Sex (females vs. males *)	1.81	0.05	0.154	−0.68; 4.29
Education (postgraduate vs. bachelor *)	−3.88	−0.12	0.005	−6.56; −1.19
Physician vs. other *	−20.49	−0.54	<0.001	−27.25; −13.73
Pharmacist vs. other *	−5.60	−0.17	0.086	−12.00; 0.80
Nurse vs. other *	−13.83	−0.36	<0.001	−20.41; −7.24
Age	0.20	0.12	0.005	0.06; 0.33
Knowledge	0.31	0.06	0.085	−0.04; 0.65
Model 3: Linear regression taking the attitude score as the dependent variable (ENTER method) (R2 = 0.212)
Sex (females vs. males *)	0.02	0.002	0.958	−0.70; 0.74
Education (postgraduate vs. bachelor *)	0.54	0.05	0.177	−0.24; 1.32
Physician vs. other *	3.79	0.34	<0.001	1.78; 5.80
Pharmacist vs. other *	0.30	0.03	0.753	−1.56; 2.16
Nurse vs. other *	3.34	0.30	0.001	1.41; 5.27
Age	−0.01	−0.02	0.566	−0.05; 0.03
Knowledge	0.38	0.27	<0.001	0.28; 0.48
Conspiracy beliefs	0.02	0.08	0.047	0.001; 0.05

* Reference group; Beta = unstandardized beta; β = standardized beta; CI: confidence interval; numbers in bold indicate significant p values.