Table 4.

Hierarchical regression analysis of factors predicting fear of COVID-19

Models		B	s.e.	β	t	P
Model 1 R2 = 0.051, Adjusted R2 = 0.050, P < 0.001	(Constant)	18.071	0.604		29.903	<0.001
	Age	−0.026	0.013	−0.030	−2.022	0.043
	Gendera	2.594	0.136	0.219	19.138	<0.001
	Educationb	0.526	0.185	0.031	2.843	0.004
	Occupationc	−0.099	0.056	−0.023	−1.758	0.079
	Residenced	−0.215	0.056	−0.043	−3.838	<0.001
	Administrative divisione	−0.081	0.037	−0.024	−2.196	0.028
	Marital statusf	0.542	0.186	0.041	2.907	0.004
Model 2 R2 = 0.057, Adjusted R2 = 0.056, P<0.001	(constant)	15.645	1.261		12.411	<0.001
	Age	−0.039	0.013	−0.046	−3.001	0.003
	Gendera	2.499	0.142	0.211	17.567	<0.001
	Educationb	0.659	0.186	0.039	3.540	<0.001
	Occupationc	−0.118	0.056	−0.028	−2.101	0.036
	Residenced	−0.206	0.056	−0.042	−3.663	<0.001
	Administrative divisione	−0.080	0.037	−0.024	−2.172	0.030
	Marital statusf	0.529	0.186	0.040	2.843	0.004
	Smoking statusg	0.188	0.205	0.011	0.916	0.359
	Alcohol consumptiong	0.379	0.431	0.010	0.879	0.380
	Perceived health statush	0.393	0.067	0.065	5.836	<0.001
	Comorbidity statusi	0.458	0.162	0.033	2.832	0.005
	Social media userg	1.153	0.654	0.019	1.764	0.078
	Social media use frequencyj	−0.085	0.090	−0.010	−0.939	0.348
Model 3 R2 = 0.062, Adjusted R2 = 0.059, P < 0.001	(constant)	14.428	1.529		9.438	<0.001
	Age	−0.037	0.013	−0.043	−2.820	0.005
	Gendera	2.452	0.144	0.207	17.063	<0.001
	Educationb	0.655	0.187	0.039	3.493	<0.001
	Occupationc	−0.120	0.056	−0.028	−2.128	0.033
	Residenced	−0.201	0.057	−0.041	−3.516	<0.001
	Administrative divisione	−0.072	0.037	−0.021	−1.957	0.050
	Marital statusf	0.493	0.186	0.037	2.645	0.008
	Smoking statusg	0.174	0.205	0.010	0.848	0.396
	Alcohol consumptiong	0.354	0.431	0.009	0.820	0.412
	Perceived health statush	0.386	0.067	0.064	5.729	<0.001
	Comorbidity statusi	0.485	0.162	0.035	2.996	0.003
	Social media userg	1.387	0.655	0.023	2.119	0.034
	Social media use frequencyj	−0.126	0.091	−0.015	−1.382	0.167
	SRHF Dhakag	0.324	0.185	0.019	1.754	0.080
	SRHF COVID-19-infected countryg	−0.124	0.409	−0.003	−0.302	0.763
	SCI: social mediai	1.056	0.213	0.056	4.946	<0.001
	SCI: YouTubei	0.095	0.140	0.008	0.677	0.498
	SCI: Newspaperi	−0.271	0.145	−0.023	−1.868	0.062
	SCI: televisioni	0.189	0.153	0.015	1.232	0.218
	SCI: health websitei	−0.087	0.137	−0.007	−0.634	0.526
	SCI: other sourcesi	−0.400	0.173	−0.026	−2.313	0.021

B, unstandardised regression coefficient; β, standardised regression coefficient; SBHF, someone has returned home from; SCI, source of COVID-19 information.

^a.1 = Male, 2 = Female.

^b.1 = Lower, 2 = Higher.

^c.1 = Unemployed, 2 = Employed, 3 = Retried, 4 = Housewife, 5 = Student.

^d.1 = Village, 2 = Upzilla town, 3 = District-level town, 4 = Divisional city.

^e.1 = Barishal, 2 = Chittagong, 3 = Dhaka, 4 = Khulna, 5 = Mymensingh, 6 = Rajshahi, 7 = Rangpur, 8 = Sylhet.

^f.1 = Single, 2 = Married, 3 = Divorced/widowed/other.

^g.1 = Yes, 2 = No.

^h.1 = Very good, 2 = Acceptable, 3 = Poor, 4 = Very poor.

^i.1 = No, 2 = Yes.

^j.1 = More than 4 days per week, 2 = 2–3 days per week, 3 = every day, 4 = several times per day.