| Literature DB >> 36121862 |
Ghada O Wassif1, Dina Ahmed Gamal El Din1.
Abstract
BACKGROUND: Medical undergraduates are at high risk of COVID-19 infection. Thus, conformance to healthy practices is advised to reduce disease transmission and control the current epidemic. The present study aimed to explore the relationship of knowledge, attitude, and practice (KAP) related to COVID-19 precautionary measures with the frequency of infection among medical students at an Egyptian University.Entities:
Mesh:
Year: 2022 PMID: 36121862 PMCID: PMC9484682 DOI: 10.1371/journal.pone.0274473
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Characteristics of participants.
| Variables | No. | % | |
|---|---|---|---|
|
| Less than 20 years | 58 | 14.4% |
| 20–22 years | 263 | 65.1% | |
| More than 22 years | 83 | 20.5% | |
|
|
| ||
| 21.19 ± 1.75 | (18.0–25.0) | ||
|
| Male | 145 | 35.9% |
| Female | 259 | 64.1% | |
|
| First year | 30 | 7.4% |
| Second Year | 71 | 17.6% | |
| Third Year | 134 | 33.2% | |
| Fourth Year | 85 | 21.0% | |
| 5th Year | 24 | 5.9% | |
| 6th Year | 60 | 14.9% | |
|
| Urban | 340 | 84.2% |
| Rural | 64 | 15.8% | |
|
| No | 253 | 62.6% |
| Yes | 151 | 37.4% | |
|
| Non-Smoker | 382 | 94.6% |
| Ex-Smoker | 5 | 1.2% | |
| Current Smoker | 17 | 4.2% | |
|
| No | 379 | 93.8% |
| Yes | 25 | 6.2% | |
|
| Once | 135 | 88.8% |
| Twice | 14 | 9.2% | |
| Three times or more | 3 | 2.0% | |
|
| Signs & Symptoms of COVID-19 | 92 | 60.5% |
| Preliminary lab test (CBC/CRP/Ferritin/ | 22 | 14.5% | |
| Blood test (Antibodies) | 4 | 2.6% | |
| CT Scan | 8 | 5.3% | |
| PCR (Nasopharyngeal Swab) | 26 | 17.1% | |
Relationship of infection status of medical students with their characteristics and levels of knowledge, attitude, and practice.
| Variables | Infection Status | Odds Ratio (95% CI) | Chi-square test | |||||
|---|---|---|---|---|---|---|---|---|
| No | Yes | |||||||
| No. | % | No. | % | |||||
|
| <20 years | 43 | 74.1% | 15 | 25.9% | 4.608 | 0.100 | |
| 20–22 years | 163 | 62.0% | 100 | 38.0% | ||||
| 22 years | 47 | 56.6% | 36 | 43.4% | ||||
|
| Male | 94 | 64.8% | 51 | 35.2% | 1.159 (0.760–1.769) | 0.469 | 0.493 |
| Female | 159 | 61.4% | 100 | 38.6% | ||||
|
| First year | 27 | 90.0% | 3 | 10.0% | 25.563 | 0.000 | |
| Second Year | 55 | 77.5% | 16 | 22.5% | ||||
| Third Year | 71 | 53.0% | 63 | 47.0% | ||||
| Fourth Year | 55 | 64.7% | 30 | 35.3% | ||||
| Fifth Year | 11 | 45.8% | 13 | 54.2% | ||||
| 6th Year | 34 | 56.7% | 26 | 43.3% | ||||
|
| Urban | 212 | 62.4% | 128 | 37.6% | 0.929 (0.533–1.620) | 0.067 | 0.795 |
| Rural | 41 | 64.1% | 23 | 35.9% | ||||
|
| Non-Smoker | 241 | 63.1% | 141 | 36.9% | 3.666 | 0.156 | |
| Ex-Smoker | 1 | 20.0% | 4 | 80.0% | ||||
| Current Smoker | 11 | 64.7% | 6 | 35.3% | ||||
|
| No | 234 | 61.7% | 145 | 38.3% | 0.510 (0.199–1.306) | 2.037 | 0.154 |
| Yes | 19 | 76.0% | 6 | 24.0% | ||||
|
| Low | 73 | 73.7% | 26 | 26.3% | 7.128 | 0.028 | |
| Moderate | 167 | 59.4% | 114 | 40.6% | ||||
| High | 13 | 54.2% | 11 | 45.8% | ||||
|
| Low | 60 | 63.8% | 34 | 36.2% | 5.479 | 0.065 | |
| Moderate | 137 | 66.8% | 68 | 33.2% | ||||
| High | 56 | 53.3% | 49 | 46.7% | ||||
|
| Low | 57 | 70.4% | 24 | 29.6% | 7.522 | 0.023 | |
| Moderate | 123 | 65.8% | 64 | 34.2% | ||||
| High | 73 | 53.7% | 63 | 46.3% | ||||
*Statistically significant at P < 0.05.
**Highly statistically significant at P < 0.01.
#Fisher’s exact test was used when 20.0% of the cells or more exhibited an expected count of less than five.
Relationship of frequency of infection of medical students with their characteristics and levels of knowledge, attitude, and practice (n = 151).
| Variables | Frequency of infection | Odds Ratio (95% CI) | Chi-square test | |||||
|---|---|---|---|---|---|---|---|---|
| Once | More than once | |||||||
| No. | % | No. | % | |||||
|
| <20 years | 14 | 93.3% | 1 | 6.7% | 0.509 | 0.851 | |
| 20–22 years | 90 | 89.1% | 11 | 10.9% | ||||
| >22 years | 31 | 86.1% | 5 | 13.9% | ||||
|
| Male | 42 | 82.4% | 9 | 17.6% | 0.401 | 3.227 | 0.072 |
| Female | 93 | 92.1% | 8 | 7.9% | ||||
|
| First year | 4 | 100.0% | 0 | 0.0% | 4.813 | 0.383 | |
| Second Year | 15 | 93.8% | 1 | 6.2% | ||||
| Third Year | 58 | 92.1% | 5 | 7.9% | ||||
| Fourth Year | 23 | 76.7% | 7 | 23.3% | ||||
| Fifth Year | 12 | 92.3% | 1 | 7.7% | ||||
| Sixth Year | 23 | 88.5% | 3 | 11.5% | ||||
|
| Urban | 114 | 88.4% | 15 | 11.6% | 0.724 (0.154–3.400) | 0.179 | 1.000 |
| Rural | 21 | 91.3% | 2 | 8.7% | ||||
|
| Non-Smoker | 128 | 90.1% | 14 | 9.9% | 5.553 | 0.050 | |
| Ex-Smoker | 2 | 50.0% | 2 | 50.0% | ||||
| Current Smoker | 5 | 83.3% | 1 | 16.7% | ||||
|
| No | 130 | 89.0% | 16 | 11.0% | 1.625 | 0.189 | 0.515 |
| Yes | 5 | 83.3% | 1 | 16.7% | ||||
|
| Low | 21 | 77.8% | 6 | 22.2% | 3.786 | 0.139 | |
| Moderate | 104 | 91.2% | 10 | 8.8% | ||||
| High | 10 | 90.9% | 1 | 9.1% | ||||
|
| Low | 24 | 68.6% | 11 | 31.4% | 20.947 | 0.000 | |
| Moderate | 67 | 98.5% | 1 | 1.5% | ||||
| High | 44 | 89.8% | 5 | 10.2% | ||||
|
| Low | 20 | 83.3% | 4 | 16.7% | 0.941 | 0.625 | |
| Moderate | 57 | 89.1% | 7 | 10.9% | ||||
| High | 58 | 90.6% | 6 | 9.4% | ||||
*Statistically significant at P < 0.05.
**Highly statistically significant at P < 0.01.
#Fisher’s exact test was used, when 20.0% of the cells or more displayed an expected count of less than five.
Relationship between frequency of infection among medical students and practice related to precautionary measures against COVID-19 (n = 151).
| Items | No. of Previous Infections | Odds Ratio | Chi-square test | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Once | More than once | ||||||||
| No. | % | No. | % | ||||||
|
|
| Incorrect | 4 | 80.0% | 1 | 20.0% | 0.489 (0.051–4.644) | 0.405 | 0.452 |
| Correct | 131 | 89.1% | 16 | 10.9% | |||||
|
|
| Incorrect | 17 | 89.5% | 2 | 10.5% | 1.081 (0.227–5.145) | 0.009 | 1.000 |
| Correct | 118 | 88.7% | 15 | 11.3% | |||||
|
|
| Incorrect | 56 | 84.8% | 10 | 15.2% | 0.496 (0.178–1.383) | 1.848 | 0.201 |
| Correct | 79 | 91.9% | 7 | 8.1% | |||||
|
|
| Incorrect | 16 | 84.2% | 3 | 15.8% | 0.627 (0.162–2.425) | 0.464 | 0.449 |
| Correct | 119 | 89.5% | 14 | 10.5% | |||||
|
|
| Incorrect | 41 | 83.7% | 8 | 16.3% | 0.491 (0.177–1.362) | 1.925 | 0.178 |
| Correct | 94 | 91.3% | 9 | 8.7% | |||||
|
|
| Incorrect | 8 | 66.7% | 4 | 33.3% | 0.205 (0.054–0.773) | 6.434 | 0.031 |
| Correct | 127 | 90.7% | 13 | 9.3% | |||||
|
|
| Incorrect | 1 | 33.3% | 2 | 66.7% | 0.056 (0.005–0.655) | 9.484 | 0.033 |
| Correct | 134 | 89.9% | 15 | 10.1% | |||||
|
|
| Incorrect | 5 | 83.3% | 1 | 16.7% | 0.615 (0.068–5.604) | 0.189 | 0.515 |
| Correct | 130 | 89.0% | 16 | 11.0% | |||||
|
|
| Incorrect | 8 | 80.0% | 2 | 20.0% | 0.472 (0.092–2.434) | 0.837 | 0.310 |
| Correct | 127 | 89.4% | 15 | 10.6% | |||||
|
|
| Incorrect | 42 | 91.3% | 4 | 8.7% | 1.468 (0.452–4.769) | 0.411 | 0.590 |
| Correct | 93 | 87.7% | 13 | 12.3% | |||||
|
|
| Incorrect | 51 | 91.1% | 5 | 8.9% | 1.457 (0.485–4.376) | 0.454 | 0.600 |
| Correct | 84 | 87.5% | 12 | 12.5% | |||||
|
|
| Incorrect | 92 | 89.3% | 11 | 10.7% | 1.167 (0.405–3.364) | 0.082 | 0.787 |
| Correct | 43 | 87.8% | 6 | 12.2% | |||||
|
| Low | 20 | 83.3% | 4 | 16.7% | 1.113 | 0.651 | ||
| Moderate | 57 | 89.1% | 7 | 10.9% | |||||
| High | 58 | 90.6% | 6 | 9.4% | |||||
*Statistically significant at P < 0.05.
#Fisher’s exact test was used when 20.0% of the cells or more display an expected count of less than five.
Correlation between scores for frequency of infections, knowledge, attitude, and practice.
| No. of Previous Infections | Knowledge Score | Attitude Score | Practice Score | ||
|---|---|---|---|---|---|
|
| Pearson’s Correlation | 1 | −.202 | −.187 | −.089 |
| Sig. (2-tailed) | .013 | .021 | .274 | ||
|
| Pearson’s Correlation | −.202 | 1 | .263 | .184 |
| Sig. (2-tailed) | .013 | .000 | .000 | ||
|
| Pearson’s Correlation | −.187 | .263 | 1 | .234 |
| Sig. (2-tailed) | .021 | .000 | .000 | ||
|
| Pearson’s Correlation | −.089 | .184 | .234 | 1 |
| Sig. (2-tailed) | .274 | .000 | .000 | ||
*Correlation is significant at the 0.05 level (2-tailed).
**Correlation is significant at the 0.01 level (2-tailed).
Logistic regression of independent predictors of COVID-19 infection status.
| Variables | B | S.E. | Wald | Sig. | Exp(B) | 95% C.I. for EXP(B) | |
|---|---|---|---|---|---|---|---|
| Lower | Upper | ||||||
|
| –.497 | .304 | 2.673 | .102 | .609 | .336 | 1.104 |
|
| .046 | .210 | .048 | .827 | 1.047 | .694 | 1.580 |
|
| .335 | .134 | 6.273 | .012 | 1.397 | 1.075 | 1.816 |
|
| –.410 | .278 | 2.171 | .141 | .664 | .385 | 1.145 |
|
| .017 | .253 | .004 | .947 | 1.017 | .620 | 1.669 |
|
| –1.376 | .485 | 8.037 | .005 | .253 | .098 | .654 |
|
| .255 | .210 | 1.484 | .223 | 1.291 | .856 | 1.947 |
|
| .100 | .152 | .434 | .510 | 1.106 | .820 | 1.490 |
|
| .239 | .150 | 2.546 | .111 | 1.270 | .947 | 1.704 |
*Statistically significant at P < 0.05.
**Highly statistically significant at P < 0.01.
Logistic regression of independent predictors of the frequency of COVID-19 infection.
| Variables | B | S.E. | Wald | Sig. | Exp(B) | 95% CI for EXP(B) | |
|---|---|---|---|---|---|---|---|
| Lower | Upper | ||||||
|
| .022 | .128 | .030 | .862 | 1.023 | .796 | 1.314 |
|
| –.968 | .605 | 2.558 | .110 | .380 | .116 | 1.244 |
|
| .232 | .280 | .688 | .407 | 1.261 | .729 | 2.184 |
|
| .111 | .878 | .016 | .899 | 1.117 | .200 | 6.251 |
|
| .313 | .539 | .337 | .562 | 1.367 | .475 | 3.936 |
|
| .870 | 1.289 | .455 | .500 | 2.386 | .191 | 29.867 |
|
| –.759 | .544 | 1.946 | .163 | .468 | .161 | 1.360 |
|
| –.994 | .407 | 5.960 | .015 | .370 | .167 | .822 |
|
| –.018 | .403 | .002 | .965 | .982 | .446 | 2.165 |
*Statistically significant at P < 0.05.