Table 3.

Logistic regression models for dichotomised variables reflecting views on individual conspiracy theories included in the questionnaire.

Independent Variables	Categories of an Independent Variable	Genetic Manipulations			Panic and Political Purposes			The Introduction of Invigilation
		OR	95%CI	p &	OR	95%CI	p &	OR	95%CI	p &
Health literacy		0.95	0.92–1.00	0.028	0.95	0.91–0.99	0.021	0.97	0.93–1.01	0.13
eHealth literacy		1.04	1.01–1.07	0.005	1.04	1.01–1.07	0.006	1.03	1.01–1.06	0.016
Age		0.99	0.98–1.01	0.44	0.96	0.94–0.97	<0.001	0.98	0.97–0.99	0.005
Gender	women vs. men	1.00	0.76–1.31	0.98	0.89	0.68–1.18	0.42	1.18	0.9–1.55	0.24
Place of residence	rural #
	urban < 20,000	1.37	0.88–2.15	0.17	0.98	0.62–1.55	0.93	1.17	0.74–1.83	0.50
	urban from 20,000 to <100,000	0.82	0.57–1.19	0.30	1.15	0.8–1.67	0.45	1.33	0.92–1.92	0.13
	urban from 100,000 to <200,000	0.84	0.52–1.36	0.48	1.03	0.62–1.69	0.92	1.25	0.77–2.04	0.36
	urban from 200,000 to <500,000	0.8	0.51–1.27	0.34	1.44	0.91–2.29	0.12	1.04	0.66–1.64	0.87
	urban from 500,000	0.71	0.45–1.11	0.13	1.1	0.7–1.73	0.69	1.21	0.77–1.89	0.40
Net income per household member	≤PLN 1500 *,#
	>PLN 1500–3000	0.86	0.61–1.19	0.36	0.99	0.71–1.39	0.96	0.89	0.64–1.25	0.51
	>PLN 3000	0.86	0.57–1.31	0.49	1.35	0.89–2.07	0.16	0.92	0.61–1.41	0.71
	refused to disclose	1.04	0.66–1.65	0.86	0.90	0.57–1.44	0.67	0.90	0.57–1.42	0.64
Education level	lower than upper secondary #
	upper secondary or post-secondary non-tertiary	0.99	0.7–1.42	0.97	1.12	0.78–1.6	0.55	1.12	0.79–1.6	0.53
	bachelor’s degree	0.92	0.56–1.52	0.75	0.99	0.59–1.66	0.98	1.49	0.89–2.48	0.13
	masters’ degree or higher	0.5	0.32–0.78	0.002	0.68	0.43–1.07	0.093	0.98	0.63–1.52	0.93
Marital status	single #
	married	1.21	0.84–1.75	0.31	1.49	1.02–2.17	0.038	1.23	0.85–1.78	0.27
	widowed, divorced or separated	1.05	0.64–1.72	0.84	1.43	0.87–2.36	0.16	1.77	1.08–2.91	0.023
Vocational status	employee #
	self-employed or farmer	0.99	0.66–1.49	0.95	1.08	0.71–1.64	0.71	0.97	0.65–1.47	0.90
	on disability pension or retired	0.71	0.41–1.25	0.24	1.77	0.99–3.14	0.052	0.84	0.48–1.46	0.54
	university or school student	0.44	0.25–0.77	0.004	0.54	0.31–0.93	0.028	0.77	0.45–1.33	0.35
	vocationally inactive	0.8	0.55–1.16	0.23	0.95	0.65–1.38	0.77	0.89	0.62–1.29	0.55

Regression models for: (1) theory of coronavirus being a result of genetic manipulations in a laboratory: Hosmer–Lemeshow chi² test = 9,14, df = 8, p = 0.33, Nagelkerke R² = 0.06; (2) theory of deliberate spreading of the panic for a political aim: Hosmer–Lemeshow chi² test = 6.14, df = 8, p = 0.63, Nagelkerke R² = 0.08; (3) the introduction of total surveillance after pandemic: Hosmer–Lemeshow chi² test = 11.01, df = 8, p = 0.20, Nagelkerke R² = 0.04; ^& p value for multivariate logistic regression, ^# reference category of the independent variable in the logistic regression model, * PLN—current ISO4217 code for Polish zloty.