A COMPREHENSIVE STUDY ON COVID-19'S MENTAL HEALTH IMPACT IN MEDICAL STUDENTS
1Department of Medicine, College of Medicine, University of Duhok, Kurdistan Region, Iraq
2Department of Microbiology, College of Medicine, University of Duhok, Kurdistan Region, Iraq
3Department of Medicine, Duhok Medical Research Center, College of Medicine, University of Duhok, Kurdistan Region, Iraq
4Department of Medicine, Duhok General Health Directorate, Duhok, Kurdistan Region, Iraq
*Corresponding Author:
Yousif Ali Yaseen, Department of Medicine, College of Medicine, University of Duhok,
Kurdistan Region,
Iraq,
Email: yousif.ali@uod.ac
Received: 01-Aug-2023, Manuscript No. AJOPY-23-108346;
Editor assigned: 03-Aug-2023, Pre QC No. AJOPY-23-108346 (PQ);
Reviewed: 24-Aug-2023, QC No. AJOPY-23-108346;
Revised: 06-Mar-2024, Manuscript No. AJOPY-23-108346 (R);
Published:
13-Mar-2024, DOI: 10.54615/2231-7805. S4.001
Abstract
Background and Objective: During the current global crisis, people seek the latest updates about COVID-19, which might come with a negative effect on their mental health. This study aims to assess the effect of COVID-19 news follow-up on developing internet addiction, stress, depression, and insomnia among medical students at the early phase of COVID-19 pandemic.
Method: An online cross-sectional study was conducted among medical students between 5th until 12th of April, 2020. 345 students participated from all 6 stages. IAT, DASS and ISI questionnaires assessed internet addiction, stress, depression, and insomnia. A single- structured question evaluated the percentage of online time used to follow COVID-19 news.
Results: 32.5% of the participants were significantly following up COVID-19 news. The relation of following up COVID-19 news to internet addiction (p=0.004), stress (p=0.019), depression (p=0.018), and insomnia (p=0.001) were statistically significant. Nevertheless, the relation of age and gender to following up COVID-19 news was statistically non-significant with p values of 0.124 and 0.145, respectively. Among significant COVID-19 news followers, the prevalence of internet addiction was 86.9%, stress was 54.5%, depression was 71.4% and insomnia was 91.9% all were higher compared to the overall sample.
Conclusion: Despite the current pandemic state of coronavirus, only 32.5% of the participants were significant COVID-19 news followers. Nevertheless, the present study unfolds that adverse outcomes can develop among this group, as a significant association was found between following up on COVID-19 news and internet addiction, stress, depression, and insomnia.
Keywords
COVID-19; Depression; Insomnia; Internet Addiction; Mental Health; Medical
Students; Social Media; Stress; SARS-CoV-2
Introduction
Coronavirus disease (COVID-19), caused by
the novel Severe Acute Respiratory Syndrome
Coronavirus 2 (SARS-CoV-2), is regarded as
a serious public health concern worldwide that
could present with variable clinical manifestations
[1-4]. The disease was first reported in Wuhan, China at December 2019 [5-6]. By March 11th,
2020, the disease became pandemic [7].
Concerns regarding mental health consequences
were inevitable following the emergence of
the new virus and early reports focused on
psychological distress, mainly stress, depression,
anxiety, and insomnia [8-10]. Additionally, Safety measures that are taken globally at the time of
COVID-19 pandemic were regarded as risk factors
of psychological distress [8,11].
The physical and mental health of medical students
is known to be at risk of disturbance due to high
levels of stress, later, anxiety and depression
follow in many cases [12]. The prevalence rate of
anxiety and depression among medical students
worldwide is estimated to be 33.8% and 27.2%,
respectively, with the highest rates of anxiety being
reported among medical students in Middle East
and Asia [13,14]. Although several factors can
influence the psychological state such as gender,
personality traits, believes and socioeconomic
state, previous researchers found that academic
stressors and non-academic stressors such as
financial stress, high familial expectations, and
fear of future failure in the medical career, can
also predispose medical students to psychological
distress [12-15].
Additionally, the impact of COVID-19 pandemic
on the sleep quality was another subject of
investigation, especially the impact on medical
students [16,17]. Poor sleep qualities were
reported among medical students, specifically
among students concerned about the impact of the
pandimicty on their education and work [18].
COVID-19 pandemic generated significant
mental health problems on population generally
and health-care workers and medical students
specifically [8-9,19]. Moreover, online learning,
and the fear of being at higher risk of getting
infected with the virus or spreading the infection
to their beloved ones in addition to many other
factors had an impact on medical students [20-22].
This study aimed at assessing the impact of
following COVID-19 news on developing internet
addiction, stress, depression, and insomnia among
medical students during the period of early
COVID-19 pandemic and lockdown.
Materials and Methods
Survey procedure and sampling
This cross-sectional, questionnaire-based survey,
was conducted online among students of the
University of Duhok-College of Medicine during
one week period, from 5th-12th of April 2020, at
the time of global COVID-19 pandemic, city
lockdown and social distancing, about 2 weeks
after social distancing and lockdown started in the province. The total number of the participants
reached 345 students.
The study was approved by the scientific and
ethical committee of University of Duhok College
of Medicine.
Data collection
Data were collected by a self-administered
standardized survey based on internationally
validated and reliable questionnaires, namely
the Internet Addiction Test, Insomnia Severity
Index and the Depression Anxiety Stress Scales
(DASS 21) with an additional question about
the percentage of online time spent following
COVID-19 news.
Internet Addiction Test (IAT)
The presence and severity internet addiction were
measured through the use of internet addiction
test. This test consists of a 20-item, scaled from
0 to 5 corresponding to “Not Applicable” and
“Always”, respectively. The cut-off scores used
was the same as standard, i.e. a score of 0-30
corresponded to normal levels of internet usage,
while 31-49, 50-79 and 80-100 corresponded to
mild, moderate and severe dependence upon the
internet, respectively.
Stress and depression
Stress and Depression were measured using The
Depression Anxiety Stress Scales (DASS-21).
The scale consists of a 21-item, 4-point Likert
scale from 0 to 3 representing “did not apply
to me at all” and “applied to me very much, or
most of the time” respectively. Only stress and
depression subscales were used: the cutoff scores
used for each subscale were: stress: normal (0-7),
mild (8-9), moderate (10-12), severe (13-16) and
extremely severe (17+); depression: normal (0-4),
mild (5-6), moderate (7-10), severe (11-13) and
extremely severe (14+).
Insomnia
For this section, the Insomnia Severity Index
(ISI) was used, which is a 7-item self-reported
questionnaire assessing the nature, severity, and
impact of insomnia. A 5-point Likert scale was
used to score the items from 0 to 4 corresponding
to No problem at all and very severe, respectively.
The scores were evaluated as follows: No clinically
significant insomnia (0-7); Subthreshold insomnia
or mild insomnia (8-14); Clinical insomnia (moderate severity) or moderate insomnia (15-21);
and Clinical insomnia (severe) or severe insomnia
(22-28). A cut of a score of 14 was used to detect
clinical insomnia.
COVID-19
This section was consisting of only one question,
asking the participants to choose among multiple
choices about the percentage of online time spent searching for COVID-19 news during the
last week, the period of the global pandemic and
city lockdown. The choices were 0-20%, 21-
40%, 41-60%, 61-80% and 81-100% with scores
above 40% being considered as significant enough, and the group be known as COVID-19
news followers.
Statistical analysis
Data have been analyzed using SPSS version
26. These Data were described by frequencies
and percentages. Pearson Chi-Square was used
to assess the association between categorical
variables and a p-value less than 0.05 was
considered statistically significant.
Results
Table 1 displays the socio-demographic
characteristics of participants. The highest number of participants, according to the stage, was from
stage four, which accounted for 22.0% of the total
sample and the lowest number of the participants
was from stage six which accounted for 12.2% of
the total sample. The study population comprised
students at an age ranged between 17 and 28 with
a mean of 21.1 ± 1.8 years, of which students in
the age range of 21-24 encountered the highest
number in the study (58%). The percentage of
female participants (61.4%) was higher than the
percentage of male participants (38.6%).
Table 1. Socio-demographic characteristic of the students (sample).
Character |
No. (%) |
Stage |
First |
54 (15.7) |
Second |
50 (14.5) |
Third |
67 (19.4) |
Forth |
76 (22.0) |
Fifth |
56 (16.2) |
Sixth |
42 (12.2) |
Age in years |
17–20 |
126 (36.5) |
21–24 |
202 (58.6) |
25–28 |
17 (4.9) |
Gender |
Female |
212 (61.4) |
Male |
133 (38.6) |
Total |
345 (100) |
Table 2 demonstrates the prevalence of variables among the sample. Most of the students were spending 0%-20% of the online time to search
about COVID-19, with the prevalence of those
who spent >40% of their online time following
the COVID-19 news was 32.5%. The prevalence of internet addiction among the participants was
74.8%, stress was 42.9% and depression was
higher than stress, 59.7%, while insomnia had
the highest prevalence, 50.1%.
Table 2. Number and percentage of students, according to each variable.
Variable |
|
N (%) |
Prevalence |
Mean (SD) |
Covid-19 news search |
|
|
32.50% |
41% (22.7%) |
|
0-20% |
139 (40.3) |
|
|
|
21–40% |
94 (27.2) |
|
|
|
41–60% |
60 (17.4) |
|
|
|
61–80% |
44 (12.8) |
|
|
|
81–100% |
8 (2.3) |
|
|
Internet addiction |
|
|
74.80% |
42.1 (16.8) |
|
No-Addiction |
87 (25.2) |
|
|
|
Mild |
143 (41.4) |
|
|
|
Moderate |
110 (31.9) |
|
|
|
Severe |
5 (1.4) |
|
|
Stress |
|
|
42.90% |
14.8 (9.7) |
|
Normal |
197 (57.1) |
|
|
|
Mild |
49 (14.2) |
|
|
|
Moderate |
40 (11.6) |
|
|
|
Severe |
43 (12.5) |
|
|
|
Extremely Severe |
16 (4.6) |
|
|
Depression |
|
|
59.70% |
13.1 (10.2) |
|
Normal |
139 (40.3) |
|
|
|
Mild |
50 (14.5) |
|
|
|
Moderate |
90 (26.1) |
|
|
|
Severe |
28 (8.1) |
|
|
|
Extremely severe |
38 (11.0) |
|
|
Insomnia |
|
|
84.30% |
14.6 (6.4) |
|
No clinically significant |
54 (15.7) |
|
|
|
Subthreshold |
118 (34.2) |
|
|
|
Moderate severity |
115 (33.3) |
|
|
|
Severe |
58 (16.8) |
|
|
Total |
|
345 (100) |
|
|
According to Table 3, the prevalence of internet
use for searching COVID-19 news increases by the
increase of the age and was higher among female
participants 35.4%, who were spending>40%
of their online time following COVID-19 news,
nevertheless, no significant statistical association
was found between following COVID-19 news
and age and gender with (p=0.124 and 0.145),
respectively.
Table 3. Relationship of COVID-19 news search according to socio-demographic data of the students (sample).
Character |
COVID-19 * |
p-value |
|
>40% |
≤ 40 |
|
Age |
|
|
0.124 ** |
17–20 |
36 (28.6) |
90 (71.4) |
|
21–24 |
67 (33.2) |
135 (66.8) |
|
25–28 |
9 (52.9) |
8 (47.1) |
|
Gender |
|
|
0.145 ** |
Female |
75 (35.4) |
137 (64.6) |
|
Male |
37 (27.8) |
96 (72.2) |
|
Total |
112 (32.5) |
233 (67.5) |
|
Note: *COVID-19’s Question; **Pearson Chi-Square, level of significance <0.05. |
Table 4 shows the relation of using internet to
search for COVID-19 news to internet addiction,
stress, depression, and insomnia. According to
the data, a significant statistical relationship was
found between following COVID-19 news and
the later variables; p values were 0.004, 0.019,
0.018 and 0.001, respectively. The prevalence of
internet addiction, stress, depression and insomnia
among COVID-19 news followers were 86.9%,
54.5%, 71.4%, and 91.9%, respectively.
Table 4. Relationship of COVID-19 news search to stress, depression, and insomnia among students (sample).
|
|
COVID-19 * |
|
|
|
|
> 40 % |
≤ 40 % |
Total |
P-value |
Internet addiction |
|
|
|
|
0.004** |
|
No-internet addiction |
16 (18.4) |
71 (81.6) |
87 (100) |
|
|
Mild |
48 (33.6) |
95 (66.4) |
143 (100) |
|
|
Moderate |
45 (40.9) |
65 (59.1) |
110 (100) |
|
|
Severe |
3 (60) |
2 (40) |
5 (100) |
|
Stress |
|
|
|
|
0.019** |
|
Normal |
51 (25.9) |
146 (74.1) |
197 (100) |
|
|
Mild |
16 (32.7) |
33 (67.3) |
49 (100) |
|
|
Moderate |
17 (42.5) |
23 (57.5) |
40 (100) |
|
|
Severe |
20 (46.5) |
23 (53.5) |
43 (100) |
|
|
Extremely severe |
8 (50) |
8 (50) |
16 (100) |
|
Depression |
|
|
|
|
0.018** |
|
Normal |
32 (23.0) |
107 (77.0) |
139 (100) |
|
|
Mild |
17 (34.0) |
33 (66.0) |
50 (100) |
|
|
Moderate |
36 (40.0) |
54 (60.0) |
90 (100) |
|
|
Severe |
9 (32.1) |
19 (67.9) |
28 (100) |
|
|
Extremely severe |
18 (47.4) |
20 (52.6) |
38 (100) |
|
Insomnia |
|
|
|
|
0.001** |
|
No clinically significant |
9 (16.7) |
45 (83.3) |
54 (100) |
|
|
Subthreshold |
34 (28.8) |
84 (71.2) |
118 (100) |
|
|
Moderate severity |
39 (33.9) |
76 (66.1) |
115 (100) |
|
|
Severe |
30 (51.7) |
28 (48.3) |
58 (100) |
|
Total |
|
112 (32.5) |
233(67.5) |
345 (100) |
|
Note: *COVID-19 question; **Pearson Chi-Square, level of significance <0.05. |
Discussion
The human health was under a major threat with
the emergency of COVID-19 as the disease was
able to have an impact on various systems of
the body [23-26]. The psychological effect of
COVID-19 is a trending topic since the emergency
of the virus and researchers studied various aspects
of the disease on the mental health of the human
being [8-11,16-21]. This study aimed at assessing
the impact of following COVID-19 news on
developing internet addiction, stress, depression,
and insomnia among medical students. The
total number of participating students reached
345; 32.5% of them followed COVID-19 news
significantly enough. The study reported a
significant impact of COVID-19 news to follow
up on internet addiction, stress, depression, and
insomnia.
The prevalence of stress, depression, and
insomnia among students following SARSCoV-2 news was 54.5%, 71.4%, and 91.9%, respectively. Additionally, the prevalence of
internet addiction was higher compared to the
non-significant followers, 86.9% compared to
69.5%. These findings on one hand are in line with
other studies on the impact on medical student’s
mental health, on another hand; it reported much
higher prevalence [17, 27]. This could be due to
the effect of isolation and quarantine as the study
was done during the early phase of the pandemic
[27]. Additionally, the scale used to identify cases
in our study might have impacted the findings.
The impact of COVID-19 pandemic on mental
health of students can be regarded as a serious
concern as studies identified a rise of the impact on
mental health [27]. Insomnia can be predictive of
depression and vice versa [28-30] hence, a vicious
cycle can be predicted. As medical students are
already at risk of depression, insomnia, stress and
internet addiction from academic stress [31-33].
The overwhelming circumstances of COVID-19
can be regarded as the cause behind the stress
experienced [34], using internet, mainly social media, to obtain more information can be regarded
as the coping mechanism, however, the presence
of contradicting information, misinformation, and
inability to discern which information on social
media is correct and which is not, could have
made stress inevitable and lead to more internet
use in order to cope, this ended in vicious cycle.
Additionally, the negative perception of the news
could have directly attributed to depression,
according to Aaron Beck [35]. Hence, presence
of COVID-19 due to online learning and other
factors [8,11,20,22] could have magnified the
impact of one or more of the pervious psychiatric
illness and placed students at risk of entering the
vicious cycle. On the same line, according to the
hyperarousal hypothesis, stress and depression
can lead to emotional and CNS arousal, and
subsequently to insomnia [36].
In the current study, the number of female
participants outnumbers the males, which might
be due to the already higher number of female
students in the Duhok Medical College. However,
no significant association was present between
gender and various age groups concerning COVID
19 news follow up, despite that the prevalence of
following COVID 19 news was higher among
females than males and was increasing with the
increase in age.
Conclusion
The present study unfolds that medical students
are keeping up with the news about the novel
coronavirus, at most (32.5%) of the participants
was significantly following COVID-19 news.
The current study strongly suggest that following
COVID-19 news is significantly associated
with higher levels of internet addiction, stress,
depression, and insomnia among participants;
prevalence were 86.9%, 54.5%, 71.4%, and
91.9%, respectively, among COVID-19 news
followers.
Limitation
No scale was available to assess following news
for COVID-19 pandemic. Additionally, there
were no researches assessing stress, depression,
and insomnia before COVID-19 pandemic. The
sample size was relatively small.
Acknowledgements
The authors gratefully acknowledge Dr. Ahmad
Mohammed Salih, Professor in Molecular Medical Microbiology & Immunology, and Dr.
Saad Younus, Assistant Professor of Community
Medicine, from the College of Medicine-
University of Duhok, for their help, support and
encouragement.
Authors' Contributions
X Chen, CQ Ai, TT Xu attended to the patient.
X Chen wrote the manuscript. X Wang and L Pan gave conceptual advice. All authors read
and approved the final manuscript. ASHS wrote
the first draft. All authors contributed in proof
reading. The final version was updated by ASHS,
YAY and ASA.
Funding
This research did not receive any specific grant
from funding agencies in the public, commercial,
or not-for-profit sectors.
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Citation: A Comprehensive Study on Covid-19’s Mental Health Impact in Medical Students, Vol. 24 (S4) March, 2024; 01-09.