A cross-sectional survey of knowledge, attitude and practice associated with COVID-19 among undergraduate students in China

Table 4 Comparison of COVID-19 attitude between different groups

Variables^a	Gender (n, %)				Major (n, %)				Grade (n, %)				Type of school (n, %)
Variables^a	Male	Female	χ2	p	Medical	Non- medical	χ2	p	First year	Others	χ2	p	Public	Private	χ2	p
A1-positive	307 (90.8)	505 (94.6)	7.911	0.019	401 (93.3)	411 (93.0)	0.601	0.740	543 (93.6)	269 (92.1)	0.841	0.657	419 (94.5)	393 (93.8)	0.579	0.749
A2-positive	255 (75.4)	418 (78.2)	5.312	0.070	334 (77.7)	339 (76.7)	5.347	0.069	452 (77.9)	221 (75.7)	5.415	0.067	334 (73.7)	339 (80.9)	6.490	0.039
A3-positive	233 (68.9)	456 (85.4)	36.562	< 0.001	353 (82.1)	336 (76.0)	5.101	0.078	471 (81.2)	218 (74.7)	5.044	0.080	370 (81.7)	321 (76.6)	8.819	0.012
A4-positive	276 (81.7)	464 (86.9)	4.593	0.101	369 (85.8)	371 (84.0)	0.978	0.613	494 (85.2)	246 (84.3)	0.248	0.883	385 (85.0)	355 (84.7)	3.319	0.190
A5-positive	114 (33.7)	190 (35.6)	0.313	0.576	142 (33.0)	162 (36.7)	1.264	0.261	199 (34.3)	105 (36.0)	0.232	0.630	175 (38.6)	129 (30.8)	5.897	0.015

^a The questions and positive option of each variable are described in Table 3
Chi-square test was used to compare the percentage of positive attitude between different groups: male vs. female, medical vs. non-medial majors, first year vs. other grades, public vs. private schools

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