Increased symptoms of post-traumatic stress in school students soon after the start of the COVID-19 outbreak in China

Table 4 Logistic regression analysis to identify factors that influence risk of severe psychological stress in students

Variable	B	SE	Wald chi-square	OR (95% CI)	p
Sex (Male/Female)	0.128	0.057	5.113	1.136 (1.017–1.270)	0.024*
Grade			13.860		0.001*
Primary	−0.146	0.083	3.073	0.864 (0.735–1.017)	0.080
Junior High	−0.234	0.064	13.200	0.940 (0.697–0.898)	0.000*
Occupation of parents			16.827		0.051
Medical staff	0.179	0.215	0.689	1.196 (0.784–1.824)	0.406
Police	0.280	0.327	0.732	1.323 (0.697–2.512)	0.392
Civil servant	0.171	0.169	1.029	1.186 (0.853–1.651)	0.310
Teacher	−0.396	0.230	2.957	0.673 (0.429–1.057)	0.085
Freelancer	0.183	0.100	3.341	1.201 (0.987–1.462)	0.068
Farmer	0.328	0.111	8.741	1.388 (1.117–1.725)	0.003*
Researcher	0.754	0.631	1.429	2.126 (0.617–7.325)	0.232
Worker	0.151	0.104	2.135	1.163 (0.950–1.425)	0.144
Self-employed	0.145	0.103	1.958	1.156 (0.944–1.415)	0.162
Psychological consultations (Yes/No)	0.646	0.131	24.389	1.908 (1.477–2.466)	0.000*
Relatives infected by COVID-19 (Yes/No)	0.451	0.173	6.779	1.570 (1.118–2.206)	0.009*
Respondent had contact with suspected COVID-19 patient (Yes/No)	−1.514	0.778	3.787	0.220 (0.048–2.206)	0.006*
Respondent diagnosed with COVID-19 (Yes/No)	1.937	0.703	7.594	1.570 (1.118–1.632)	0.006*
Respondent received COVID-19 therapy (Yes/No)	0.119	0.189	0.400	1.127 (0.778–1.632)	0.527
Respondent had cold, fever, cough etc. in the previous 30 days (Yes/No)	0.435	0.142	9.344	1.544 (1.169–2.040)	0.002*

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