Table 4.

Multinomial logistic regression data for frightening events category and demographic factors (region, age, and gender).

	Beta	StdErr	t-Stat	P-value
REGION
Falling sick	0.13	0.04	3.23	0.0012
Economic crises	0.14	0.04	3.17	0.0015
Job loss	0.1	0.03	3.67	0.0002
Death	0.11	0.03	2.92	0.0034
Psychosis	0.31	0.03	10.25	<0.0001
Quarantine	0.19	0.03	4.99	<0.0001
None	0.01	0.05	0.16	0.8707
AGE
Falling sick	−0.11	0.03	−3.70	0.0002
Economic crises	0.09	0.03	2.95	0.0031
Job loss	0.26	0.03	8.59	<0.0001
Death	−0.07	0.02	−2.51	0.0119
Psychosis	0.09	0.03	2.35	0.0186
Quarantine	0.22	0.02	7.59	<0.0001
None	−0.14	0.04	−3.08	0.0020
GENDER
Falling sick	−0.34	0.03	−8.90	<0.0001
Economic crises	−0.13	0.04	−3.15	0.0016
Job loss	−0.16	0.03	−4.36	<0.0001
Death	−0.38	0.03	−10.30	<0.0001
Psychosis	−0.04	0.03	−1.07	0.2839
Quarantine	−0.19	0.03	−5.19	<0.0001

Significant P values are highlighted in bold.