A total of 521 students participated in the online survey. The students’ age range was 18 - 22 years, with a mean age of 20 (1.3) years. According to gender, 92.9% were female, while 7.1% were male.
The demographic characteristics of the respondents are reported in
Table 1.
| Variables | Values |
|---|
| Age, y | 20 ± 1.3 |
| 18 | (16.5) |
| 19 | (27.6) |
| 20 | (35.2) |
| 21 | (13.6) |
| 22 | (7.1) |
| Gender | |
| Male | 37 (7.1) |
| Female | 484 (92.9) |
| Place of birth | |
| Urban | 333 (64) |
| Rural | 188 (36) |
| Field of study | |
| Medicine | 85 (16.3) |
| Dentistry | 122 (23.4) |
| Public health | 48 (9.25) |
| Nursing | 61 (11.7) |
| Pharmacy | 45 (8.67) |
| Physiotherapy | 59 (11.32) |
| Imaging | 28 (5.37) |
| Speech therapist | 17 (3.26) |
| Laboratory technician | 32 (6.14) |
| Midwife | 24 (4.6) |
Values are expressed as Mean ± SD or No. (%).
The students’ approach regarding knowledge of COVID-19 (
Figure 1) stated that 62.4% had sufficient knowledge about the transmission ways of COVID-19, whereas 10.4% had low knowledge.
Students’ knowledge of COVID-19
Regarding the students’ views on the risks of COVID-19, 46.4% of the respondents reported the risks of COVID-19 as low, 45.5% perceived high risk, and 8.1% reported a moderate level. The result refers to the students' perceptions of the risks rather than a general statement about the disease (
Figure 2).
According to how social distancing in quarantine is related to the psychological status of students, 30.52% mentioned that it had no effect at all, 36.08% reported that it affected very little, 10.17% reported its effect a little, 6.33% reported its effect to a moderate level, and 16.89% reported a high level of effect (
Figure 3).
The effect of social distancing on the psychological part
The majority of university students supported social distancing measures and reported that it had no significant impact on their psychological well-being during the COVID-19 quarantine period.
Concerning stress management in quarantine, 88.1% reported that they did not manage stress, while 11.9% had tried to manage it.
Concerning the students’ approach to trusted sources of information during the COVID-19 pandemic, 85.4% mentioned friends, 11.1% mentioned the WHO, 2.1% mentioned the government, and 0.2% mentioned the media as their trusted sources of information, suggesting that the students may not be aware of the importance of relying on trusted sources, such as the WHO and the government, for COVID-19-related information.
Using the Pearson chi-square and the likelihood ratio, a significant correlation was observed between treatment for health problems and perceived health risks of the COVID-19 pandemic (P = 0.041).
Concerning discussing mental health treatment during the COVID-19 pandemic, it was found that 95.4% of the participants were not treated for mental health compared to 4.6% being treated.
A chi-square test revealed a statistically significant difference between the groups (P = 0.0001) treated for mental health compared to those not treated.
In addition, a strong correlation was found between the variables of social distancing and the right information from the Internet (P = 0.05).
In the view of the study respondents, it was observed that before the question regarding COVID-19-related emotional status, 58.5% of the students reported to be upset, 1.9% anxious, 3.1% very anxious, and 23% calm. Using the chi-square test where P = 0.00001, a statistically significant difference was found among the abovementioned groups (
Figure 4).
The emotional status during the COVID-19 pandemic
Regarding the evaluation of health care staff during the pandemic, 39.7% mentioned that health staff’s work was at an average level, and 38.8% replied that the health service was too little, with a statistically significant difference between the two groups (P = 0.0001).
A positive correlation was noticed between the variables of the COVID-19-related emotional status and health risks (P = 0.01).
Regarding the sources of COVID-19 information, 40.5% of the students reported that they always got the information from the Internet, and 1.4% reported never getting the COVID-19 information from the Internet, with a statistically significant difference between the two groups (
Figure 5).
COVID-19 information from the Internet