| Literature DB >> 34938215 |
Salina Mohamed1, Zaliha Ismail2, Norley Shuib1, Nur Faizah Ali1.
Abstract
Background: Medical students are not spared from the challenges related to the Covid-19 lockdown. The fear and uncertainties may lead to traumatic symptoms and test their resilience and sense of coping. Thus, this study aims to determine the prevalence of peri-traumatic distress symptoms and its association with the level of resilience and the coping strategies used during the lockdown among medical students. Materials andEntities:
Keywords: COVID-19; coping; distress; lockdown; medical students; peritraumatic; resilience; undergraduate
Year: 2021 PMID: 34938215 PMCID: PMC8685317 DOI: 10.3389/fpsyt.2021.789554
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 4.157
Undergraduate medical student profiles and Covid-19 related data.
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| Pre-clinical | 282 | 62.1 |
| Clinical | 172 | 37.9 |
| Gender | ||
| Female | 363 | 80.0 |
| Male | 91 | 20.0 |
| Internet accessibility | ||
| Yes | 408 | 89.9 |
| Difficult | 46 | 10.1 |
| Staying with during MCO | ||
| Family | 448 | 98.9 |
| Not with Family | 6 | 1.1 |
| Time spent on COVID-19 related news/day | ||
| <30 min | 296 | 65.2 |
| 1–2 h | 135 | 29.7 |
| 3–4 h | 16 | 3.5 |
| >5 h | 7 | 1.5 |
| Frequency of contact with people other than family | ||
| Once/week | 217 | 47.8 |
| Twice/week | 44 | 9.7 |
| Three times/week | 61 | 13.4 |
| Everyday | 120 | 26.4 |
| People contacted during lockdown | ||
| Other family members | 38 | 8.4 |
| Coursemate | 26 | 5.7 |
| Other friends | 16 | 3.5 |
| Lecturers | 3 | 0.7 |
| Knew someone who is Person Under Investigation (PUI) | ||
| No | 400 | 88.1 |
| Friend | 21 | 4.6 |
| Self | 10 | 2.2 |
| Family | 14 | 3.1 |
| Knew someone who is COVID-19 positive | ||
| No | 412 | 90.7 |
| Friend | 27 | 5.9 |
| Family | 7 | 1.5 |
| Higher resilience ≥64 | 227 | 50.0 |
| Lower resilience <64 | 219 | 48.2 |
Factors associated with peritraumatic distress among medical students.
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| Student | ||||
| Pre-clinical | 89(32.2%) | 187(67.8%) | 11.903 |
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| Clinical | 28(17.2%) | 135(82.8%) | ||
| Gender | ||||
| Female | 86(24.6%) | 264(75.4%) | 3.821 | 0.050 |
| Male | 31(34.8%) | 58(65.2%) | ||
| Internet access | ||||
| Yes | 99(25.4) | 294(74.8) | 4.093 | 0.043 |
| Difficult | 18(39.4) | 28(60.9) | ||
| Resilience level | ||||
| Higher resilience ≥64 | 30(13.7) | 189(86.3) | 36.82 |
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| Lower resilience <64 | 84(39.4) | 129(60.6) | ||
| CDRS25 total score | 56.8(14.01) | 66.9(13.38) | 6.794 |
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Pearson chi-square .
Factors associated with peri-traumatic distress using Simple logistic Regression.
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| Female | 0.680 | 0.340 | 3.999 | 1.97(1.014,3.840) |
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| Pre-clinical | 0.826 | 0.290 | 8.121 | 2.29(1.294,4.033) |
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| Difficult Internet access | 0.974 | 0.426 | 5.222 | 2.65(1.149,6.103) |
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| CDRS Low resilience | 1.183 | 0.318 | 13.790 | 3.26(1.748,6.092) |
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| Dysfunctional coping strategies | 0.287 | 0.042 | 46.581 | 1.33(1.227,1.448) |
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| Problem focused coping strategies | −0.089 | 0.055 | 2.604 | 0.92(0.822,1.019) | 0.107 |
| Emotion focused coping strategies | 0.039 | 0.040 | 0.986 | 1.04(0.962,1.124) | 0.321 |
Factors associated with peri-traumatic distress using Multiple logistic Regression.
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| Pre-clinical | 0.760 | 0.276 | 7.601 | 2.14 (1.246, 3.673) |
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| Difficult internet access | 0.991 | 0.403 | 6.051 | 2.69(1.223,5.928) |
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| Low resilience | 1.199 | 0.282 | 18.081 | 3.32(1.909,5.767) |
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| Dysfunctional coping strategies | 0.262 | 0.034 | 60.698 | 1.29 (1.216,1.387) |
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| Pre-clinical with Difficult internet access | 2.07 | 0.538 | 14.791 | 7.93(2.760, 22.758) |
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