BMC Psychology,
Journal Year:
2024,
Volume and Issue:
12(1)
Published: April 26, 2024
Covid-19
has
disrupted
the
lives
of
many
and
resulted
in
high
prevalence
rates
mental
disorders.
Despite
a
vast
amount
research
into
social
determinants
health
during
Covid-19,
little
is
known
about
whether
results
are
consistent
with
gradient
health.
Here
we
report
systematic
review
studies
that
investigated
how
socioeconomic
condition
(SEC)-a
multifaceted
construct
measures
person's
standing
society,
using
indicators
such
as
education
income,
predicts
emotional
(depression
anxiety)
risk
pandemic.
Furthermore,
examined
which
classes
SEC
would
best
predict
symptoms
International Journal of Environmental Research and Public Health,
Journal Year:
2022,
Volume and Issue:
19(15), P. 9322 - 9322
Published: July 30, 2022
The
worldwide
spread
of
the
coronavirus
disease
2019
(COVID-19)
pandemic
in
early
2020
affected
all
major
sectors,
including
higher
education.
measures
to
contain
this
deadly
led
closure
colleges
and
universities
across
globe,
disrupting
lives
millions
students
subjecting
them
a
new
world
online
learning.
These
sudden
disturbances
coupled
with
demands
learning
system
experiences
living
through
have
placed
additional
strains
on
mental
health
university
students.
Research
students’
health,
conducted
during
pandemic,
found
high
levels
stress,
anxiety
depression
among
In
qualitative
study,
we
aimed
understand
how
student
well-being
by
conducting
in-depth
interviews
34
undergraduate
enrolled
UK
university.
All
were
Microsoft
Teams
recorded
prior
permission.
Transcripts
thematically
analysed
which
identified
two
broad
themes:
(i)
University
pandemic;
(ii)
factors
that
influenced
well-being.
further
distributed
six
sub-themes:
(a)
isolation;
(b)
well-being;
(c)
bereavement;
(d)
academic
concerns;
(e)
financial
worries
and;
(f)
support,
coping,
resilience.
Our
study
identifies
importance
support
pandemics
calls
for
improve
access
services
these
crisis
points
universities.
Findings
can
also
inform
risk
assessments
aftermath
pandemic.
Brain Sciences,
Journal Year:
2022,
Volume and Issue:
12(11), P. 1553 - 1553
Published: Nov. 15, 2022
In
the
post-COVID-19
era,
significant
changes
have
taken
place
regarding
epidemic,
economy,
family
and
social
life.
However,
it
remains
unclear
how
these
encompass
psychological
symptoms
of
college
students.
We
carried
out
a
cross-sectional
study
to
investigate
anxiety,
depression,
post-traumatic
stress
disorder
(PTSD)
among
students
from
10
November
2020,
16
2020.
The
questionnaire
included
self-designed
canvas,
Generalized
Anxiety
Disorder
7
(GAD-7),
Patient
Health
Questionnaire
9
(PHQ-9),
Impact
Event
Scale
(IES-R).
Factors
associated
with
were
estimated
by
ordered
non-conditional
logistic
regression
analysis.
Of
4754
participants,
25.0%,
29.7%,
3.4%,
15.3%,
17.1%,
2.9%
reported
PTSD
symptoms,
one,
any
two,
all
three,
respectively.
cases
anxiety
or
depression
there
was
9.11%
comorbidity
PTSD.
fears
being
infected,
social,
family,
economic
increased
risk
in
caused
COVID-19.
Female
students,
identified
at
lower
developing
(OR,
0.61,
95%
CI:
0.43-0.86).
Non-medical
majors
university,
rural
residence,
higher
educational
background,
fear
taking
public
transport,
deterioration
relationships
for
male
respondents
due
correlated
had
expanded
infected
extensive
Therefore,
screening
interventions
should
be
consistently
strengthened
more
targeted
era.
Informatics in Medicine Unlocked,
Journal Year:
2023,
Volume and Issue:
42, P. 101340 - 101340
Published: Jan. 1, 2023
Anxiety
is
known
as
one
of
the
most
common
health
disorders
affecting
a
large
part
population
with
high
social
and
personal
impact,
which
affects
about
25%
people
worldwide;
it
so
when
comes
to
anxiety
in
students,
evidenced
that
2018,
63%
school
students
United
States
reported
having
experienced
"excessive
anxiety"
recent
years.
The
purpose
this
study
was
propose
method
4
combined
models
based
on
Stacking
aim
predicting
levels
college
students.
In
addition,
an
end-user
web
interface
developed
best
model
proposed
study.
data
set
used
consisted
sample
undergraduate
systems
computer
Engineering
from
public
university
total
284
participants.
then
cleaned
preprocessed
using
Python
program.
balancing,
were
divided
into
5
values
obtained
oversampling
performed,
distributing
according
condition.
Then
portioning
balanced
proceeded,
cross-validation
for
training.
For
modeling
evaluation,
independent
algorithms
proposed.
approach,
called
4A:
KNN-Ensemble
shown
obtain
results
several
evaluation
metrics.
Specifically,
following
achieved:
Accuracy
=
97.83%,
sensitivity
98.44%,
f1-score
97.88%,
MCC
97.08%
specificity
99.32%,
these
exceeded
those
by
other
algorithms.
However,
2A:
SVM-Ensemble
technique
balance
achieved
value
precision
metric
result
97.83%.
This
article
focuses
applying
Ensemble
identify
at
early
stage
among
attending
Peru.
Therefore,
method,
improvement
prediction
observed,
surpassing
performance
used.
Psychology Research and Behavior Management,
Journal Year:
2023,
Volume and Issue:
Volume 16, P. 651 - 663
Published: March 1, 2023
The
study
examines
the
prevalence
of
depression
among
university
students
in
Poland,
UK
and
India
face
second
pandemic
wave
COVID-19.
paper
also
protective
role
perceived
social
support,
hypothesis
being
that
support
from
friends
would
reduce
depression.The
data
(N=732)
Poland
(N=335),
(N=
198),
(N=199)
were
collected
online
during
fall/winter
2021.
Participants
completed
measures
(CES-D),
COVID-19
risk
perception
index,
loneliness
(DJGLS),
(MSPSS).Almost
52%
all
participants
(58.5%
62.6%
UK,
29.1%
India)
met
criteria
for
major
depression.
higher
levels
symptoms
associated
with
a
COVID-19,
greater
loneliness,
female
gender,
younger
students'
age,
lower
support.
family
predicted
Polish
Indian
samples.
Structural
equation
analyses
(SEM)
revealed
indirect
effect
on
association
between
age
This
result
shows
significantly
reduced
depression,
regardless
level
COVID-19.Our
conclusions
link
to
specialists'
enhancement
psychological
help
We
recommend
information
campaigns
treatment
options.
Analyses of Social Issues and Public Policy,
Journal Year:
2021,
Volume and Issue:
22(1), P. 198 - 224
Published: Dec. 7, 2021
ABSTRACT
Twenty‐eight
University
of
Michigan
students
(12
first‐generation/low‐income
and
16
from
more
educated,
affluent
families)
were
invited
online
to
provide
open‐ended
responses
photographs
representative
their
experiences
during
COVID‐19,
in
a
modified
Photovoice
approach.
Given
the
literature,
we
expected
that
cultural
mismatch,
class
stereotypes,
relative
deprivation
would
be
relevant
features
accounts
self‐identified
first‐generation/lower‐income
students’
experience,
contrast
peers.
Using
thematic
analysis,
three
themes
differentiated
written
two
groups
students:
changed
environmental
demands,
comparison
similar
or
different
other
students,
change
continuity
availability
institutional
support
.
Both
shared
concerns
about
issues
with
mental
health,
concern
for
family.
While
reported
they
experienced
less
access
space
quiet
schoolwork,
counterparts
conditions
studying
better.
Additionally,
when
comparing
themselves
others,
first‐generation
mentioned
best
guesses
while
nonfirst‐generation
tended
compare
those
like
themselves.
Finally,
wrote
continued
dedication
having
fewer
resources
academic
success.
Frontiers in Psychiatry,
Journal Year:
2022,
Volume and Issue:
13
Published: July 7, 2022
As
studies
on
the
mental
health
status
of
university
students
during
COVID-19
pandemic
are
almost
non-existent
in
Hong
Kong,
we
examined
four
research
questions
this
paper:
What
is
prevalence
depressive
symptoms
Kong?
socio-demographic
correlates
symptoms?
Do
need
satisfaction
and
positive
youth
development
(PYD)
attributes,
including
beliefs
about
adversity,
psychosocial
competence
(resilience
emotional
competence)
family
functioning
predict
depression?
PYD
attributes
moderate
predictive
effect
We
above
using
Centre
for
Epidemiologic
Studies
Depression
Scale
Revised
(CESD-R)
1,648
Kong.
For
utilized
validated
measures
Chinese
competence),
functioning.
satisfaction,
used
a
measure
derived
from
two
focus
group
interviews
involving
students.
Results
showed
that
48.4%
respondents
(95%
confidence
interval
=
[45.9%,
51.1%])
scored
16
or
(i.e.,
"at-risk"
clinical
depression).
predicted,
age,
gender,
student
(local
vs.
international),
financial
hardship
were
significant
symptoms.
Besides,
negatively
predicted
depression
scores.
Finally,
multiple
regression
analyses
controlling
as
covariates
all
moderated
impact
depression.
The
findings
reinforce
theoretical
proposition
serve
important
factors
protecting
pandemic.