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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