Introduction
In December 2019, Coronavirus Disease 2019
(COVID-19) was first reported in Wuhan, eastern
China [1]. COVID-19 spread rapidly, become
a major public health challenge and affected
student’s campus life [2,3]. The Vietnamese
government implemented a lot of measures
to protect people’s health, including travel
restrictions, blockades, curfew use, isolation,
social distancing, service facilities, non-essential
businesses and school closures [4,5]. These efforts helped protect people from the virus, but also
had certain effects on the economy and mental
health of people, including the target group of
students. Fear of infection, uncertainty about
the future due to the socioeconomic downturn
and disruption of activities stemming from the
pandemic had a significant impact on university
students [6,7]. School closures have had a severe
impact on student’s well-being and mental health
[8]. Contemporary studies have shown high levels
of stress, depression and anxiety among students
during lockdown [9,10].
Previous studies have shown that during the
COVID-19 outbreak, the experience of negative
emotions, such as depression, anxieties and stress symptoms, occur in students [7,8,10]. Students also had a prevalence of suicidal thoughts,
severe distress, high levels of perceived stress,
severe depression and high levels of anxiety 11.4% (among 7891 students) [11]. Therefore, public health emergencies associated with the COVID-19 outbreak can have profound
psychological impacts on students, including fear, worry, altered sleep patterns and impaired quality of life [12,13]. This study investigated Vietnamese university students with a large sample of 1,889 university students.
According to a recent study of Vietnamese
university students, 25.5% experienced stress during the COVID-19 lockdown [14]. Overall, protective factors against impaired mental
health among students may relate to living with their family [15] and steady financial status [14,16]. Other factors implicated in mental
disorders among students include reduced
academic achievement and physical inactivity [17]. Student’s mental health can impact many areas of their lives, including motivation and engagement, which may decrease their quality of life, academic achievement and negative
relationships with friends and family members. Additionally, these problems can have long-term effects on student’s careers, earnings potential and health [18,19].
There has been a lack of assessing the mental health
of students during the period of social isolation in
Vietnam. Thus, this study investigated Vietnamese
university students with a large sample of 1,889
participants and aimed to clarify the following two
research questions.
• What prevalence of student’s self-perceived
mental health problems during the COVID-19
lockdown in Vietnam?
• What factors were associated with students’ self-perceived mental health problems during
the COVID-19 lockdown in Vietnam?
We hope that the answers to the above research
questions will provide some suggestions for
Vietnamese higher education institutions in
developing prevention programs and mental
health care programs for students during similar
epidemic outbreaks in the future.
Materials and Methods
Study design and participants
This study was an online-based cross-sectional
study at eight universities in Vietnam. Students
enrolled from different universities in Vietnam
met the following criteria:
• Be at least 18 years of age
• Living in Vietnam during the survey period
• Consent to participate online by signing the
informed consent form; and (4) be able to
access an online questionnaire.
Sample size and sampling
There was a one-week survey conducted (from
30 August, 2021 to 5 September, 2021), which
is the period of social distancing in Hanoi under
Directive No.16/CT-TTg on the Implementation
of Immediate Measures for the Prevention of
COVID-19 Pandemic [20].
As all educational institutions were closed, data
were collected through Social Networking Service
(SNS) platforms. Convenience sampling was used
with the help of colleagues and university students.
A core group of 8 lecturers from Hanoi National
University, Vietnam, was established. This core
group had a good relationship with lecturers from
universities throughout the country. Through
online classes, we introduced students to the study
and invited them to participate in the survey. The
online questionnaire link was sent to lecturers
from universities who supported us to send this
link to the students through online applications.
The students were also encouraged to share this
link with their classmates. As a result, a total of
1,889 students were enrolled in this study.
Study variables
Dependent variable: Self-perceived mental
health problems were determined by whether each
symptom bothered the individual over the past 4
weeks (yes/no).
Independent variables: Independent variables
included socioeconomic and demographic
information of participants, such as sex (male/
female), living with family (yes/no), infection
status (yes/no), COVID-19 vaccination status
(yes/no), current health status (better, almost unchanged, worse), financial difficulty (yes/no),
academic performance (better, almost unchanged,
worse), social relationships (better, almost
unchanged, worse) and region (North/South of
Vietnam).
Study instruments
To measure mental health problems, we used the
SF-12 questionnaire [21]. It was designed to assess
multidimensional facets of physical and mental
health and a higher score indicates better state
of health. We selected the SF-12 questionnaire
because due to its good psychometric properties
and relatively short completion time, it is
recommended as an online survey instrument
for this type of survey. The study instrument
consisted of two main parts. The first part included
questions about socioeconomic and demographic
characteristics, while the second part was the
12-Item Short Form Health Survey (SF-12). The number of possible response options varies
from 2 to 6. The questionnaire covers various
dimensions. The scope includes the domains
of physical functioning (2 questions), physical
limitations in daily activities (2 questions), bodily
pain (1 question), general health (1 question),
energy/fatigue (1 question), social functioning (1
question), emotional limitations in daily activities
(2 questions) and mental health (2 questions)
[21]. The results of the SF-12 health survey are
represented by one Physical Component Score
(PCS) and one Mental Component Score (MCS),
with the PCS including the items inquiring
parameters of physical functioning and pain, while
the MCS focuses on psychological and mental
health questions.
Statistical analysis
There is no recommended cut-off point for the
MCS, we split the sample based on the first quartile
in the MCS (mental health problems vs non-mental
health problems). The mean MCS score was 39.8
(SD 10.6) (Median 39.5, interquartile range 31.6-
48.2) and 413/1889 (21.9%) students had a score
lower than 31.6 (the first quartile).
Using Stata 14.2, we calculated Chi-square tests
to compare the differences in characteristics
of participant’s self-perceived mental health
problems [22,23]. To examine the factors
associated with the self-perceived mental health
problems of respondents during the COVID-19
lockdown, we applied Multiple Poisson regression
models with robust error variances [24-26]. We calculated Prevalence Ratios (PR’s) with a 95
Confidence Interval (CI) and a p-value of <0.05,
which was considered statistically significant.
Results
General characteristics of the study participants
Table 1 shows the participant’s socio-demographic
characteristics of the 1,889 respondents, 1,353
(71.6%) female and 536 (28.4%) were male. Onefourth
of the participants (24.1%) did not live with
their families during the COVID-19 lockdown.
Most of them never had contact with COVID-19
infected persons (85.3%), never received a dose
of COVID-19 vaccination (68.2%), had almost
unchanged health status (82.5%) and were from
northern Vietnam (75.1%). Approximately half of
the students reported financial difficulty (43%),
almost unchanged academic performance (48.2%)
and almost unchanged social relationships
(55.1%) compared to those before the COVID-19
pandemic (Table 1).
Table 1. Characteristics of the participants (N=1889).
Variables |
Category |
Frequency |
Percentage (%) |
Sex |
Male |
536 |
28.4 |
Female |
1353 |
71.6 |
Living with family |
No |
455 |
24.1 |
Yes |
1434 |
75.9 |
History of contact to COVID-19 |
No |
1611 |
85.3 |
Yes |
278 |
14.7 |
COVID-19 vaccination status |
No |
1288 |
68.2 |
Yes |
601 |
31.8 |
Financial difficulty |
No |
1077 |
57 |
Yes |
812 |
43 |
Current health status |
Better |
145 |
7.7 |
Almost unchanged |
1609 |
85.2 |
Worse |
135 |
7.1 |
Academic performance |
Better |
118 |
6.2 |
Almost unchanged |
910 |
48.2 |
Worse |
861 |
45.6 |
Social relationships |
Better |
126 |
6.7 |
Almost unchanged |
1041 |
55.1 |
Worse |
722 |
38.2 |
Prevalence of self-perceived mental health problems
during the COVID-19 lockdown
Table 2 shows the participant’s self-perceived
mental health problems during the COVID-19
lockdown. The prevalence of self-perceived
mental health problems among students was 21.9%
(95%CI: 20%-23.8%). The prevalence of self-
perceived mental health problems among female
students was higher than that of male students
(23.1% vs 18.8%, p<0.05). The prevalence of not
living with family and financial difficulty with
self-perceived mental health problems among
students was higher than that of living with family
and not financial difficulty (28.4% vs 19.8%,
29.3% vs 16.2%, p<0.001, respectively).
Table 2. Self-perceived mental health problems of participants.
Self-perceived mental health problems |
No |
Yes |
p-value |
1476 (78.1)* |
413 (21.9)* |
Sex |
Female, n (%) |
1041 (76.9) |
312 (23.1) |
0.046* |
Male, n (%) |
435 (81.2) |
101 (18.8) |
Living with family |
No, n (%) |
326 (71.6) |
129 (28.4) |
0* |
Yes, n (%) |
1150 (80.2) |
284 (19.8) |
History of contact to COVID-19 |
No, n (%) |
1265 (78.5) |
346 (21.5) |
0.328 |
Yes, n (%) |
211 (75.9) |
67 (24.1) |
COVID-19 vaccination status |
No, n (%) |
990 (76.9) |
298 (23.1) |
0.050 |
Yes, n (%) |
486 (80.9) |
115 (19.1) |
Financial difficulty |
No, n (%) |
902 (83.8) |
175 (16.2) |
0* |
Yes, n (%) |
574 (70.7) |
238 (29.3) |
Current health status |
Better, n (%) |
134 (92.4) |
11 (7.6) |
0* |
Almost unchanged, n (%) |
1272 (79.1) |
337 (20.9) |
Worse, n (%) |
70 (51.9) |
65 (48.1) |
Academic performance |
Better, n (%) |
104 (88.1) |
14 (11.9) |
0* |
Almost unchanged, n (%) |
752 (82.6) |
158 (17.4) |
Worse, n (%) |
620 (72) |
241 (28) |
Social relationships |
Better, n (%) |
110 (87.3) |
16 (12.7) |
0* |
Almost unchanged, n (%) |
869 (83.5) |
172 (16.5) |
Worse, n (%) |
497 (68.8) |
225 (31.2) |
Note: Statistical comparison using=Chi-square test for categorical variable -display as n (%); *=p-value indicated statistical significance (p<0.05). |
The prevalence of poor academic performance,
health status and social relationships among
students with self-perceived mental health
problems was higher than that of better and almost
unchanged academic performance, health and
social relationships status (28% vs 11.9%, 17.4%
and 48.1% vs 7.6%, 20.9% and 31.2% vs 12.7%,
16.5%, p<0.001, respectively) (Table 2).
Factors associated with self-perceived mental
health among students
The factors associated with self-perceived
mental health problems among the students.
Factors related to self-perceived mental health problems included sex, living with family,
financial difficulties, current health status,
academic performance and social relationships.
The prevalence of self-perceived mental health
problems among male students was less than that
of female students (PR=0.75, 95%CI: 0.62-0.91).
The prevalence of self-perceived mental health
problems among students living with family was
less than that of students not living with family
(PR=0.76, 95%CI: 0.63-0.90). Students having financial difficulty status had a higher prevalence
of self-perceived mental health problems than
that student not having financial difficulty status
(PR=1.45, 95%CI: 1.21-1.74). Poor health status,
academic performance and social relationships
increased the prevalence of self-perceived mental
health problems among students (PR=4.25,
95%CI: 2.53-8.08; PR=1.68, 95%CI: 1.03-2.73;
PR=1.82, 95%CI: 1.15-2.89; respectively) (Table
3).
Table 3. Factors associated with student’s self-perceived mental health.
Self-perceived mental health problems |
Model |
PR |
95%CI |
p-value |
Sex |
Female |
REF |
- |
- |
Male |
0.75 |
0.62-0.91 |
0.003* |
Living with family |
No |
REF |
- |
- |
Yes |
0.76 |
0.63-0.90 |
0.002* |
History of contact to COVID-19 |
No |
REF |
- |
- |
Yes |
1.13 |
0.9-1.41 |
0.271 |
COVID-19 vaccination status |
No |
REF |
|
|
Yes |
0.86 |
0.71-1.04 |
0.125 |
Financial difficulty |
No |
REF |
- |
- |
Yes |
1.45 |
1.21-1.74 |
0 |
Current health status |
Better |
REF |
- |
- |
Almost unchanged |
2.43 |
1.39-4.25 |
0.002* |
Worse |
4.52 |
2.53-8.08 |
0 |
Academic performance |
Better |
REF |
- |
- |
Almost unchanged |
1.35 |
0.83-2.21 |
0.229 |
Worse |
1.68 |
1.03-2.73 |
0.036 |
Social relationships |
Better |
REF |
- |
- |
Almost unchanged |
1.12 |
0.71-1.78 |
0.615 |
Worse |
1.82 |
1.15-2.89 |
0.011* |
Note: CI=Confidence Interval, PR=Prevalence Ratios; REF=Reference category; *=p-value indicated statistical significance (p<0.05). |
Discussion
The primary purposes of the present study were
to investigate the prevalence of self-perceived
mental health problems among students and to
determine the factors that are associated with
student’s self-perceived mental health problems
during the COVID-19 lockdown.
Our results show that the prevalence of self-perceived mental health problems among
Vietnamese students was 21.9% (95%CI:
20%-23.8%). The findings also indicated that
student’s self-perceived mental health problems
were associated with female sex, not living with
family, financial difficulty, decreased health status,
decreased academic performance and decreased
social relationships during the COVID-19
lockdown.
In our regression models, we found that sex was
one factor associated with self-perceived mental
health problems, in which females had higher
levels of poor mental health than males. This
result is consistent with previous studies that
found a lower quality of life reported by female
than male students or depressive symptoms more
frequently in young female [27,28]. In addition,
sex may predict mental health problems during the
pandemic because of personality traits. The level
of neuroticism or emotional instability/negative
emotionality in females is higher than that in
males [29].
It is also revealed from this study that living
with family was another protective factor against
mental health problems. Previous studies have
indicated that the risk factors associated with
emotion and mental health in adults include the
death of parents, not living with parents and
parent’s psychological problems and mental
illness [30,31], which is consistent with the results
of current study. Students who lived with their
families might have received better support from
their family members and the local healthcare
system and coping resources are protective against
mental health problems [32]. This finding may
indicate that family and robust social support are
necessary during public health emergencies [33].
Similar to previous studies, financial difficulty was
found to be associated with student’s mental health
problems [16,34,35]. Financial status, especially
family income, has always been an integral factor
that influences university quality of life and
mental well-being [36,37]. Since the COVID-19
pandemic, the impact of financial status on mental
health has become even more concerning. In
particular, below-average family income was a
predictor of poor mental health, more than other
factors such as gender, time using electronic
devices and contact history with COVID-19
cases [37,38]. Because of the lockdown, some
families would lose their source of income and
students might feel anxious about paying their
tuition payments [39]. Higher education students
face financial burden. This issue is different for
younger students, who depend primarily on their
parents. College students may struggle with rising
tuition rates, uncertain job prospects, delays in
making monthly payments, high credit card debt
[40,41]. Financial difficulties, both in a cross-
sectional and longitudinal study, were confirmed
to lead to “poor mental health in students with the
possibility of a vicious cycle occurring” [42].
Additionally, this study found that self-perceived
health status predicted the level of mental
health problems among students. Students who
confirmed that their health was worse than before
were more likely to worry than others [43]. A possible explanation for this might be that the
students lacked physical and other health activities
during the lockdown. In Vietnam, the government
implemented measures, including implementing
strict social isolation to prevent epidemics, which
inevitably disrupted routine life and led to physical
and mental health issues [20,44].
The results confirmed the association between
decreased academic performances, decreased
social relationships and impaired mental health
among students. This finding is consistent with
previous studies in the context of the COVID-19
pandemic [8,10,45,46]. During the COVID-19
lockdown, students had to stay at home and
continue learning online. During this time, the
students lacked social and physical activities.
Thus, they often felt less interested in online
lectures [47]. The absence of face-to-face social
interactions is associated with symptoms of
student’s anxiety and depression [10]. Studying
online at home for a long time makes it difficult
for students to concentrate on their studies, easily
irritable, difficult self-control, mentally disturbed,
unsuccessful in school, worry about the quality of
study and future job opportunities [48,49].
Our study had some limitations. Firstly, the
cross-sectional design only allows for identifying
associations, not establishing causation. This
means we can observe correlations between
variables, but we cannot determine whether one
factor directly causes another. Secondly, the
data were collected through an online survey
relying on participant’s self-reports, which may
introduce social desirability bias. Participants
might have responded in ways they perceived as
more socially acceptable rather than providing
accurate reflections of their true thoughts and
feelings. Despite these limitations, the study
provides valuable insights into the factors related
to students’ self-perceived mental health problems
during the COVID-19 lockdown in Vietnam.
Conclusion
In conclusion, the prevalence of self-perceived
impaired mental health among Vietnamese
students was 21.9% (95%CI: 20%-23.8%). We also
identified a relationship between self-perceived mental health problems and various factors, such
as female sex, not living with family, financial
difficulty, decreased health status, decreased
academic performance and decreased social
relationships during the COVID-19 lockdown. The
findings suggest teachers and universities should
pay special attention to female students because
they tend to be more likely to suffer from mental
health issues than male students. Educators and
schools must increase awareness of how families
play a role in students’ mental health and provide
effective learning strategies to promote students’
mental health and their learning. In addition,
university administrators can help students by
supplying financial service and schooling cost
reduction as financial support. Besides, university
administrators need to be actively involved in
assessing, identifying, preventing and managing
the mental health of university students.
Acknowledgement
The authors would like to thank all students who
participated in this study and supported us.
Ethical Consideration
Ethical approval for this study was obtained
from the Institutional Review Board, Vietnam
Association of Psychology (Decision No.
10/2021/HTLHVN-DD). Participants could
refuse to participate or withdraw from the survey
at any time.
Author Contributions
Linh Dao Thi Dieu conceptualized the article,
checked the database, performed data analyses
and contributed portions of the writing. All other
authors collected the data, assisted in data analysis
and wrote the manuscript.
Data Availability
The supplementary file contains three tables and
Strengthening the Reporting of Observational
Studies in Epidemiology (STROBE) checklist.
All other information regarding the study will be
provided by the author upon request.
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Citation: Factors Associated with Vietnamese Students’ Self-Perceived Mental Health Problems during the COVID-19 Lockdown: A Cross-Sectional Study ASEAN Journal of Psychiatry, Vol. 25 (8) October, 2024; 1-9.