Frontiers in Psychiatry,
Journal Year:
2020,
Volume and Issue:
11
Published: Oct. 30, 2020
Background:
As
a
public
health
emergency
of
international
concern,
the
COVID-19
outbreak
has
had
tremendous
impact
on
patients'
psychological
health.
However,
studies
interventions
in
patients
with
are
relatively
rare.
Objectives:
This
study
examined
effectiveness
Cognitive
Behavioral
Therapy
(CBT)
relieving
distress
during
epidemic.
Methods:
Ninety-three
eligible
participants
selected
by
cluster
sampling
were
randomized
to
an
intervention
group
(N
=
47)
and
control
46).
Participants
received
routine
treatment
according
Chinese
Management
Guidelines
for
COVID-19,
while
additional
CBT.
The
Version
Depression
Anxiety
Stress
Scale-21
(DASS-21)
was
used
evaluate
depression,
anxiety,
stress
all
at
baseline
post-intervention.
Two-sided
t-test,
proportion
tests
examine
differences
between
each
DASS-21
indicator.
Univariate
linear
regression
association
chronic
disease
status
change
indicator
after
intervention.
Two-way
scatter
plots
generated
show
length
hospital
stay
changes
groups.
Results:
Significant
decreases
means
found
scales
total
both
(p
<
0.001)
0.001),
having
bigger
reduction
means.
After
intervention,
more
no
depression
or
anxiety
symptoms
than
group,
but
statistical
>
0.05).
Compared
disease,
significantly
larger
scale
(coefficient
-4.74,
95%
CI:
-9.31;
-0.17).The
associated
greater
increase
0.005),
whilst
significant
0.29).
Conclusions:
experienced
high
levels
stress.
Our
result
highlights
CBT
improving
among
also
suggests
that
should
be
focused
those
who
have
longer
stays.
These
results
important
implications
clinical
practice
context
pandemic.
Trial
Registration:
ISRCTN68675756.
Available
at:
http://www.isrctn.com/ISRCTN68675756.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2020,
Volume and Issue:
unknown
Published: May 6, 2020
Abstract
Background
Little
is
known
about
the
effect
of
COVID-19
pandemic
on
mental
health
status
during
lockdown
period.
Therefore,
this
study
was
conducted
to
assess
prevalence
depression,
anxiety
and
depression-anxiety
comorbidity,
associated
factors
in
Nepal.
Methods
A
quantitative
cross-sectional
among
general
population
Data
collected
from
April
9
16,
2020
using
an
e-questionnaire
which
shared
through
different
popular
social
media.
total
349
participants
were
included.
Self-reported
depression
assessed
Patient
Health
Questionnaire
Generalized
Anxiety
tools
respectively.
Logistic
regression
analysis
identify
with
co-morbidity.
Results
The
rates
co-morbidity
found
be
34.0%,
31.0%
23.2%
multi-variate
showed
that
females,
those
living
alone,
professionals
who
spent
more
time
accessing
information
significantly
likely
have
Conclusions
High
prevailing
results
suggest
only
scientific,
but
contextually
appropriate
messages
disease
should
disseminated
reduce
unnecessary
fears
anxiety.
Awareness
interventions
promote
wellbeing
need
integrated
into
response
interventions.
Community
care
made
accessible
at-risk
groups.
International Journal of Psychiatry in Clinical Practice,
Journal Year:
2020,
Volume and Issue:
25(2), P. 109 - 114
Published: July 14, 2020
Coronavirus
disease
2019
(COVID-19)
first
broke-out
in
Wuhan
China
December
2019,
and
spread
throughout
the
entire
country
within
a
short
time.
This
cross-sectional
study
investigated
prevalence
of
depression
anxiety
associated
risk
factors
were
analysed
patients
with
COVID-19.This
single-center
focussed
on
measuring
using
self-report
scales.
Linear
regression
was
used
to
determine
independent
predictors
for
anxiety.A
total
78
who
confirmed
have
COVID-19
enrolled
study.
Prevalence
symptoms
diagnosed
35.9%
38.5%
patients,
respectively.
Multivariate
linear
analysis
found
female
gender
an
predictor
higher
severity
index.
Having
family
members
died
from
independently
index
score.Patients
especially
those
had
or
more
susceptible
than
other
patients.
Effective
strategies
should
be
pursued
improve
mental
health
this
patient
population.Key
pointsPatients
showed
significantly
high
anxiety.Female
depression.Patients
as
anxiety.
European journal of psychotraumatology,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: Feb. 14, 2022
Background
The
COVID-19
pandemic
has
imposed
fundamental
challenges
on
nearly
every
area
of
life.Objective
purpose
the
current
study
was
to
expand
literature
impact
college
students
by
a)
examining
domains
psychiatric
and
alcohol
outcomes
b)
controlling
for
pre-pandemic
outcomes.Method
Participants
included
897
(78.6%
female)
from
a
larger
longitudinal
student
mental
health.
Structural
equation
models
were
fit
examine
how
(exposure,
worry,
food/housing
insecurity,
change
in
social
media
use,
substance
use)
associated
with
PTSD,
anxiety,
depression,
suicidal
ideation,
phenotypes.
Models
adjust
symptoms.Results
No
effects
exposure
remained
after
adjusting
earlier
outcomes.
worry
predicted
even
levels
(β's:
.091–.180,
p's
<
.05).
Housing/food
concerns
depression
symptoms
as
well
ideation
.085–.551,
.05)
symptoms.
Change
use
consumption
±
.116−.197,
affected
all
except
suicidality
.112–.591,
.05).Conclusions
Domains
had
differential
health
during
first
wave
coronavirus
pandemic.
Future
studies
should
trajectory
these
factors
across
waves
Journal of Advanced Nursing,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 9, 2025
ABSTRACT
Aims
This
study
aims
to
identify
factors
associated
with
mental
health
literacy
(mental
knowledge
and
attitudes
towards
help‐seeking
behaviours),
depression
anxiety
amongst
adolescents,
test
the
hypothesised
model
by
examining
interrelationships
between
these
outcomes.
Design
Cross‐sectional
descriptive
quantitative
research.
Methods
Using
convenient
sampling,
615
adolescents
from
four
public
schools
completed
online
questionnaires
measuring
literacy,
depression,
anxiety.
The
data
were
analysed
using
Pearson
correlation,
multiple
linear
regression,
structural
equation
modelling
(SEM).
Results
Individual
(e.g.,
gender,
physical
past
traumatic
experiences),
family
parental
criticism
support)
school/community
academic
pressure
safety)
SEM
revealed
an
association
higher
better
behaviours
but
did
not
show
a
significant
Conclusions
Findings
emphasise
need
for
holistic
culturally
safe
approaches
address
adolescent
in
Indonesia.
Implications
Future
research
should
focus
on
developing
evaluating
tailored
interventions
Indonesia
that
individual,
family,
school,
community
factors.
These
target
interrelated
aspects
of
identified
this
study.
Key
areas
intervention
include
enhancing
self‐esteem,
promoting
behaviours,
supporting
spirituality,
managing
long‐term
conditions,
improving
sleep
hygiene,
encouraging
activity,
teaching
stress
management
techniques,
fostering
diversity,
trauma,
combating
discrimination.
A
comprehensive
approach
well‐being
integrate
involvement,
peer
support
systems,
engagement
initiatives,
education.
Impact
informs
future
such
as
school‐based
programs,
family‐oriented
campaigns,
initiatives
health,
potentially
influencing
policy
decisions,
resource
allocation
services.
Reporting
Method
STROBE
guidelines.
Patient
or
Public
Contribution
No
direct
patient
contribution.
JMIR Research Protocols,
Journal Year:
2020,
Volume and Issue:
9(6), P. e19292 - e19292
Published: June 4, 2020
Coronavirus
disease
(COVID-19)
has
spread
globally
with
far-reaching,
significant,
and
unprecedented
impacts
on
health
everyday
life.
Threats
to
mental
health,
psychological
safety,
well-being
are
now
emerging,
increasing
the
impact
of
this
virus
world
health.
Providing
support
for
these
challenges
is
difficult
because
high
number
people
requiring
in
context
a
need
maintain
physical
distancing.
This
protocol
describes
use
SMS
text
messaging
(Text4Hope)
as
convenient,
cost-effective,
accessible
population-level
intervention.
program
evidence-based,
prior
research
supporting
good
outcomes
user
satisfaction.The
project
goal
implement
daily
supportive
reduce
distress
related
COVID-19
crisis,
initially
among
Canadians.
The
prevalence
stress,
anxiety,
depressive
symptoms;
demographic
correlates
same;
Text4Hope
intervention
mitigating
will
be
evaluated.Self-administered
anonymous
online
questionnaires
used
assess
stress
(Perceived
Stress
Scale),
anxiety
(Generalized
Anxiety
Disorder-7
scale
[GAD-7]),
symptoms
(Patient
Health
Questionnaire-9
[PHQ-9]).
Data
collected
at
baseline
(onset
messaging),
midpoint
(6
weeks),
endpoint
(12
weeks).Data
analysis
include
parametric
nonparametric
techniques,
focusing
primary
(ie,
symptoms)
metrics
use,
including
subscribers
satisfaction.
Given
large
size
data
set,
machine
learning
mining
methods
also
used.This
provide
key
information
regarding
rates
during
pandemic;
distress;
outcome
scalable
Information
from
study
valuable
practitioners
useful
informing
policy
decision
making
interventions
pandemic.DERR1-10.2196/19292.
