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Table 4 Comparison of COVID-19 attitude between different groups

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

Variablesa Gender (n, %) Major (n, %) Grade (n, %) Type of school (n, %)
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
  1. a The questions and positive option of each variable are described in Table 3
  2. 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