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Table 6 Comparison of COVID-19 practice 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
P1-proactive 311(92.0) 506(94.8) 3.126 0.210 411(95.6) 406(91.9) 5.219 0.074 550(94.8) 267(91.4) 3.985 0.136 419(92.5) 398(95.0) 2.295 0.318
P2- proactive 297(87.9) 515(96.4) 24.885 0.000 407(94.7) 405(91.6) 4.196 0.123 542(93.5) 270(92.5) 1.191 0.551 420(92.7) 392(93.6) 1.331 0.514
P3- proactive 326(96.5) 526(98.5) 3.890 0.049 421(97.9) 431(97.5) 0.152 0.696 565(97.4) 287(98.3) 0.662 0.416 443(97.8) 409(97.6) 0.031 0.860
P4- proactive 273(80.8) 424(79.4) 9.294 0.010 348(80.9) 349(79.0) 1.903 0.386 470(81.0) 227(77.7) 1.504 0.471 367(81.0) 330(78.8) 0.747 0.688
P5- proactive 270(79.9) 386(72.3) 6.411 0.011 324(75.4) 332(75.1) 0.006 0.936 421(72.6) 235(80.5) 6.494 0.011 338(74.6) 318(75.9) 0.192 0.661
  1. a The questions and proactive option of each variable are described in Table 5.
  2. Chi-square test was used to compare the percentage of proactive practice between different groups: male vs. female, medical vs. non-medial majors, first year vs. other grades, public vs. private schools