| Literature DB >> 34179039 |
Haojun Yang1,2, Yue Zheng3, Fang Yu1, Bohao Cheng1, Ziqing Zhu1, Sheng Liao1, Yu Chen1, Jianzhen Wu4, Fang Wang1.
Abstract
Purpose: To assess knowledge, attitudes, and social responsiveness toward COVID-19 among Chinese medical students.Entities:
Keywords: COVID-19; Chinese medical students; attitude; knowledge; social responsiveness
Year: 2021 PMID: 34179039 PMCID: PMC8232751 DOI: 10.3389/fmed.2021.647679
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Demographic characteristics of Chinese clinical medical students.
| Male | 387 | 43.5 | 36–47 |
| Female | 502 | 56.5 | |
| 2019 | 234 | 26.3 | – |
| 2018 | 146 | 16.4 | – |
| 2017 | 140 | 15.7 | – |
| 2016 | 122 | 13.7 | – |
| 2015 | 126 | 14.2 | – |
| 2014 and before | 121 | 13.7 | – |
| Eight-year MD program | 543 | 61.1 | – |
| Five-year Undergraduate program | 346 | 38.9 | – |
| Yes | 556 | 62.5 | 45–50 |
| No | 333 | 37.5 |
The demography of the population was collected from the researches published in recent years, whose participants were clinical medical students in China (.
Attitudes and social responsiveness toward COVID-19 among Chinese clinical medical students.
| Dream and hobby | 652 | 73.4 |
| Medical family | 78 | 8.8 |
| Family recommendation | 356 | 40.1 |
| Stable job | 340 | 38.3 |
| High social status | 158 | 17.8 |
| Others | 127 | 14.3 |
| Volunteer to support Hubei | 410 | 47.2 |
| Stick to your hospital | 417 | 46.9 |
| Ask for leave | 12 | 1.3 |
| Resign and change profession | 4 | 0.4 |
| Others | 46 | 3.9 |
| I will try my best to persuade my family and support Hubei | 694 | 78.1 |
| I will support Hubei without telling my family | 91 | 10.2 |
| I will follow my family's advice and not go to Hubei for support | 104 | 11.7 |
| Responsibilities of doctors | 824 | 92.7 |
| The vanguard and exemplary role of Communist Party members | 139 | 15.6 |
| Many doctors around me sign up for support | 73 | 8.2 |
| Be curious and want to experience | 101 | 11.4 |
| Others | 114 | 12.8 |
| Obey the arrangement of the government and the school | 795 | 89.4 |
| Encourage people around me to take active protective measures | 767 | 86.3 |
| Publish Medical science articles and short videos | 577 | 64.9 |
| Pay attention to the pandemic situation and learn efficiently | 758 | 85.3 |
| Agree extraordinarily | 101 | 11.4 |
| Agree | 370 | 41.6 |
| Neutral | 205 | 23.1 |
| Disagree | 167 | 18.8 |
| Disagree extraordinarily | 46 | 5.1 |
| Clinical work in China | 549 | 61.8 |
| Clinical work abroad | 29 | 3.3 |
| Become a full-time scientific research personnel | 24 | 2.7 |
| Engaged in medical related profession | 41 | 4.6 |
| Not decided yet | 231 | 26.0 |
| Separated from the medical profession completely | 2 | 0.2 |
| Others | 13 | 1.4 |
| Department of infectious disease | 11 | 1.2 |
| Department of respiration | 32 | 3.6 |
| ICU or emergency | 68 | 7.7 |
| Departments except abovementioned | 778 | 87.5 |
Demographic characteristics of medical students in different groups.
| N | 302 (41.5) | 426 (58.5) | 75 (16.5) | 380 (83.5) | ||
| Male | 130 (43.1) | 187 (43.8) | 0.82 | 26 (34.7) | 170 (44.7) | 0.108 |
| Female | 172 (56.9) | 239 (56.1) | 49 (65.3) | 210 (55.3) | ||
| Urban | 236 (78.1) | 325 (76.3) | 0.558 | 52 (69.3) | 298 (78.4) | 0.088 |
| Rural | 66 (21.9) | 101 (23.7) | 23 (30.7) | 82 (21.5) | ||
| Yes | 191 (63.2) | 264 (62.0) | 0.727 | 36 (48.0) | 256 (67.4) | |
| No | 111 (36.8) | 162 (38.0) | 39 (52.0) | 124 (32.6) |
p < 0.001 is indicated in bold.
Knowledge related to COVID-19 including epidemiology and clinical manifestations.
| SARS-COV-2 | 84 (27.9) | 112 (26.3) | 1.08 |
| COVID-19 | 203 (67.2) | 279 (65.5) | 1.08 |
| MERSr-COV | 14 (4.6) | 25 (5.8) | 0.78 |
| Ebola virus | 1 (0.3) | 10 (2.2) | |
| Droplet transmission | 298 (98.7) | 421 (98.8) | 0.88 |
| Air-borne transmission | 166 (55.0) | 236 (55.4) | 0.98 |
| Contagion | 247 (81.8) | 306 (71.8) | 1.76 |
| Fecal–oral transmission | 161 (53.3) | 244 (57.3) | 0.85 |
| Mother–baby transmission | 43 (14.2) | 60 (14.1) | 1.01 |
| N95 | 302 (100.0) | 424 (99.5) | / |
| PM2.5 respirator | 30 (9.9) | 37 (8.7) | 1.16 |
| Sponge mask | 5 (1.6) | 8 (1.9) | 0.88 |
| Active carbon mask | 8 (2.6) | 11 (2.6) | 1.03 |
| Surgical mask | 290 (96.0) | 412 (96.7) | 0.82 |
| Heating at 56°C for 30 min | 270 (89.4) | 383 (89.9) | 0.95 |
| 75% ethyl alcohol | 293 (97.0) | 403 (94.6) | 1.86 |
| Chlorine-containing disinfectant | 221 (73.1) | 262 (61.5) | 1.71 |
| Chlorhexidine | 81 (26.8) | 111 (26.1) | 1.04 |
| Ultraviolet radiation | 201 (66.5) | 235 (55.2) | 1.62 |
| Fever, weakness, and dry cough | 301 (99.7) | 424 (94.8) | 1.42 |
| Digestive symptoms, like nausea, vomiting, and diarrhea | 280 (92.7) | 345 (81.0) | 2.99 |
| Neurological symptoms, such as headache | 187 (61.9) | 201 (47.2) | 1.82 |
| Cardiovascular system symptoms, such as palpitation and chest tightness | 173 (57.3) | 193 (45.3) | 1.62 |
| Ophthalmic symptoms, such as conjunctivitis | 220 (72.8) | 193 (45.3) | |
| Only mild limb or back muscle pain | 222 (72.9) | 151 (35.4) | |
| Nasopharyngeal swab | 290 (96.0) | 343 (80.5) | |
| Sputum | 279 (92.4) | 311 (73.0) | |
| Secretion of lower respiratory tract | 264 (87.4) | 320 (75.1) | 2.30 |
| Blood | 176 (58.3) | 242 (56.8) | 1.06 |
| Feces | 253 (83.8) | 291 (68.3) | 2.40 |
| Temperature returns to normal for more than 3 days | 252 (83.4) | 298 (69.9) | 2.16 |
| Respiratory symptoms improved significantly | 223 (73.8) | 248 (58.2) | 2.03 |
| Pulmonary imaging shows obvious absorption of inflammation | 245 (81.1) | 318 (74.6) | 1.46 |
| The detection of respiratory pathogenic nucleic acid shows negative consecutive times (Sampling interval shall be at least 1 day) | 300 (99.3) | 411 (96.5) | |
OR: odds ratio [(Medical students at clinical-learning stage confirmed/Medical students at clinical-learning stage not confirmed)/(Medical students at basic-medical learning stage confirmed/Medical students at basic-medical learning stage not confirmed)] OR>3 or OR < 1/3 is indicated in bold.
Multiple responses possible.
p < 0.05.
p < 0.01.
p < 0.001.
Percentage of totally correct answers to questions of COVID-19 between group C and group D.
| Which one do you think is the name of the virus in Wuhan? | 22 (28.8) | 72 (18.9) | |
| Which ways do you think are the distribution of SARS-COV-2? | 18 (24.0) | 35 (9.1) | |
| Which masks do you think can obstruct SARS-COV-2? | 67 (89.3) | 335 (88.2) | 0.772 |
| Which ways do you think can inactivate SARS-COV-2 effectively? | 44 (58.7) | 67 (17.6) | |
| What are the initial manifestations of COVID-19? | 35 (46.7) | 52 (13.7) | |
| Which of the following specimens can detect nucleic acids of SARS-COV-2? | 38 (50.7) | 92 (24.1) | |
| What are the criteria for the release of isolation and discharge of patients? | 55 (73.3) | 166 (43.7) | |
p < 0.05 is indicated in bold.
p < 0.05,
p < 0.01,
p < 0.001.
Figure 1Questions that were considered to be reflected attitudes and social responsiveness. (A) Are you willing to support Wuhan? (B) If your family is against it, do you insist on supporting Wuhan? (C) Do you agree that doctors are full of happiness? ** p-value is < 0.01. ***p-value is < 0.001.