Table 5 Binary logistic regression...

Table 5

Binary logistic regression analysis showing sociodemographic factors and pre- and post-pandemic food safety knowledge level

	Pre-pandemic		Post-pandemic
Variables	B	Or (95% C.I.)	B	Or (95% C.I.)
Age (years)
18–29	Ref		Ref
30–39	0.485	1.625 (0.85, 3.08)	−0.232	0.793 (0.45, 1.38)
40–49	0.681	1.975 (0.95, 4.07)	−0.467	0.627 (0.33, 1.16)
50 and above	1.251	3.949** (1.38, 8.82)	0.765	2.15 (0.85, 5.39)
Gender
Male	Ref		Ref
Female	−0.375	0.687 (0.35, 1.35)	0.116	1.123 (0.58, 2.16)
Education
Primary/secondary	Ref		Ref
University (Bachelor/Masters/above)	1.859	6.417*** (2.79, 14.74)	1.531	4.622** (2.24, 9.52)
Number of persons in family	0.054	1.055 (0.58, 1.90)	−1.65	0.848 (0.50, 1.41)
Number of children in family	−0.706	0.494** (0.30, 0.81)	−0.775	0.461*** (0.30, 0.70)
Residency place
Urban	Ref		Ref
Rural	−1.404	0.246** (0.10, 0.59)	−0.779	0.461* (0.21, 0.98)

	Pre-pandemic		Post-pandemic
Variables	B	Or (95% C.I.)	B	Or (95% C.I.)
Age (years)
18–29	Ref		Ref
30–39	0.485	1.625 (0.85, 3.08)	−0.232	0.793 (0.45, 1.38)
40–49	0.681	1.975 (0.95, 4.07)	−0.467	0.627 (0.33, 1.16)
50 and above	1.251	3.949** (1.38, 8.82)	0.765	2.15 (0.85, 5.39)
Gender
Male	Ref		Ref
Female	−0.375	0.687 (0.35, 1.35)	0.116	1.123 (0.58, 2.16)
Education
Primary/secondary	Ref		Ref
University (Bachelor/Masters/above)	1.859	6.417*** (2.79, 14.74)	1.531	4.622** (2.24, 9.52)
Number of persons in family	0.054	1.055 (0.58, 1.90)	−1.65	0.848 (0.50, 1.41)
Number of children in family	−0.706	0.494** (0.30, 0.81)	−0.775	0.461*** (0.30, 0.70)
Residency place
Urban	Ref		Ref
Rural	−1.404	0.246** (0.10, 0.59)	−0.779	0.461* (0.21, 0.98)

Note(s): ***p < 0.001, **p < 0.01 and *p < 0.05; Regression model was adjusted for age, gender, education, number of persons, number of children, residency place; Ref: Reference group

Source(s): Authors’ own work

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