JMIR mhealth and uhealth,
Journal Year:
2024,
Volume and Issue:
12, P. e63316 - e63316
Published: Nov. 12, 2024
Background
Obsessive-compulsive
disorder
(OCD)
is
the
third
most
prevalent
mental
health
in
Singapore,
with
a
high
degree
of
burden
and
large
treatment
gaps.
Self-guided
programs
on
mobile
apps
are
accessible
affordable
interventions,
potential
to
address
subclinical
OCD
before
symptoms
escalate.
Objective
This
randomized
controlled
trial
aimed
examine
efficacy
self-guided
program
(mHealth)
app
Intellect
improving
maladaptive
perfectionism
(MP)
as
moderator
this
predicted
relationship.
Methods
University
students
(N=225)
were
randomly
assigned
an
8-day,
(intervention
group)
or
cooperation
(active
control).
Self-reported
measures
obtained
at
baseline,
after
program,
4-week
follow-up.
The
primary
outcome
measure
was
symptom
severity
(Obsessive
Compulsive
Inventory–Revised
[OCI-R]).
Baseline
MP
assessed
moderator.
Depression,
anxiety,
stress
(Depression
Anxiety
Stress
Scales-21)
for
during
statistical
analyses.
Results
final
sample
included
192
participants.
intervention
group
reported
significantly
lower
OCI-R
scores
compared
active
control
(partial
eta-squared
[ηp2]=0.031;
P=.02)
follow-up
(ηp2=0.021;
P=.044).
A
significant,
weak
positive
correlation
found
between
levels
baseline
(r=0.28;
P<.001).
not
moderate
relationship
condition
postintervention
(P=.70)
(P=.88).
Conclusions
study
provides
evidence
that
effective
reducing
among
university
Singapore.
Future
studies
should
include
longer
durations
broader
spectrum
severity.
Trial
Registration
ClinicalTrials.gov
NCT06202677;
https://clinicaltrials.gov/study/NCT06202677
Internet Interventions,
Journal Year:
2024,
Volume and Issue:
35, P. 100722 - 100722
Published: Feb. 5, 2024
Internet-based
interventions
are
recognised
as
a
practical
approach
to
address
mental
health
issues.
The
acceptance
and
utilisation
of
such
closely
linked
user
attitudes
preferences.
This
study
aims
examine
the
predictors
university
students'
towards
internet-based
interventions.
Additionally,
it
seeks
elucidate
preferences
regarding
crucial
features
these
interventions,
format,
delivery
mode,
content
type,
structural
components,
understand
better
what
makes
appealing
for
students.
A
total
273
students
(comprising
68
%
females
32
males)
participated
in
study.
data
collection
instruments
employed
were
Personal
Information
Form,
Internet-Based
Intervention
Preference
Survey,
E-therapy
Attitude
Measure
(ETAM),
Digital
Literacy
Scale,
Patient
Health
Questionnaire-9,
Generalized
Anxiety
Disorder-7
(GAD-7).
analysed
utilising
descriptive
statistics,
Pearson
correlation
analysis,
multiple
linear
regression
analysis.
analysis
revealed
digital
literacy
predictive
factor
Demographic
variables,
age
gender,
psychological
depression
anxiety
levels,
found
not
be
associated
with
While
actively
seeking
information
online,
significant
majority
remain
unaware
They
show
preference
offering
greater
human
interaction,
including
face-to-face
guidance
video
featuring
people.
Participants
favour
completing
one
or
two
sessions
intervention
weekly.
Desired
include
self-assessment
scales,
relatable
characters,
voice
relaxation
exercises,
daily
life
activity
tasks,
weekly
reminders
throughout
process.
In
conclusion,
initiatives
aimed
at
enhancing
levels
could
foster
more
positive
among
Developers
creating
Interventions
(IBI)
should
consider
Contemporary Clinical Trials Communications,
Journal Year:
2025,
Volume and Issue:
44, P. 101443 - 101443
Published: Feb. 6, 2025
University
students
often
face
significant
mental
health
challenges,
including
depression,
anxiety,
and
difficulties
in
adjustment,
which
can
be
exaggerated
by
the
demands
of
independent
living
increased
life
responsibilities.
These
challenges
are
compounded
barriers
to
seeking
help,
such
as
stigma
limited
access
university
resources,
further
deteriorate
students'
well-being.
This
protocol
was
created
assist
college
overcoming
these
obstacles
assess,
comparison
a
control
group,
impact
guided
unguided
online
intervention
platform
based
on
transdiagnostic
CBT
(UNIPDES)
adjustment
levels.
The
calculated
sample
size
for
study
will
include
330
students,
participants
selected
from
five
different
universities
located
Türkiye.
Participants
randomly
assigned
either
guided,
unguided,
or
groups.
Guided
group
receive
six
weeks
intervention,
waitlist
version
program
after
twelve
randomization.
Assessments
take
place
at
baseline,
post-test
(8
post-baseline)
follow-up
(12
post-baseline).
A
Mixed
ANOVA
employed
analyze
data,
with
Group
(Guided,
Unguided,
Control)
between-subjects
factor
Time
(Baseline,
Post-Test,
Follow-Up)
within-subjects
factor,
well
assess
interaction
effect
between
primary
outcomes-changes
Additionally,
reasons
dropout
assessed
qualitatively.
results
this
build
evidence
effectiveness
internet-based
treating
problems
students.
UNIPDES
provide
flexible,
easy-to-access,
cost-effective
treatment
that
commonly
face.
Trial
registration
is
registered
ClinicalTrials.gov
Protocol
Registration
Results
System
(Trial
number:
NCT06245200).
npj Digital Medicine,
Journal Year:
2024,
Volume and Issue:
7(1)
Published: Dec. 18, 2024
Mental
health
apps
are
efficacious,
yet
they
may
pose
risks
in
some.
This
review
(CRD42024506486)
examined
adverse
events
(AEs)
from
mental
apps.
We
searched
(May
2024)
the
Medline,
PsycINFO,
Web
of
Science,
and
ProQuest
databases
to
identify
clinical
trials
The
risk
bias
was
assessed
using
Cochrane
Risk
Bias
tool.
Only
55
171
identified
reported
AEs.
AEs
were
more
likely
be
sampling
schizophrenia
delivering
with
symptom
monitoring
technology.
meta-analytic
deterioration
rate
13
app
conditions
6.7%
(95%
CI
=
4.3,
10.1,
I2
75%).
Deterioration
rates
did
not
differ
between
control
groups
(OR
0.79,
95%
0.62–1.01,
0%).
Reporting
heterogeneous,
terms
assessments
used,
recorded,
detail
provided.
Overall,
few
report
Those
that
do
often
provide
insufficient
information
properly
judge
related
use.
Journal of Integrative Neuroscience,
Journal Year:
2023,
Volume and Issue:
22(2)
Published: Feb. 14, 2023
Background:
Sleep
disturbances
represent
a
major
health
burden
today,
affecting
up
to
one-third
of
the
population
worldwide.
Computerized
cognitive
stimulation
has
been
proven
as
an
effective
approach
in
diminishing
negative
symptomatology
and
improving
quality
life
range
medical
conditions.
Given
its
nature
enhancing
neural
networks,
such
those
involved
stimulus
monitoring
inhibitory
processes,
computerized
is
arising
potential
tool
overcome
underlying
deficits
found
among
patients
suffering
from
insomnia.
In
current
study,
we
report
results
Phase
1
2
clinical
trials
home-based
program.
Methods:
The
intervention
followed
with
online
supervision
by
psychologist.
training
activities
were
gamified
tasks
that
had
designed
improve
executive
functions,
focus
on
inhibition
skills.
Insomnia
Severity
Index
Pittsburgh
Quality
scales
used
main
assessment
measures.
Data
Behavior
Rating
Inventory
Executive
Function,
Beck
Depression
Inventory,
State-Trait
Anxiety
Penn
State
Worry
Questionnaire
also
recorded
before
after
intervention.
During
15
consecutive
days,
participants
performed
alternate
days
total
7
sessions
(each
lasting
45
minutes).
Results:
Twelve
insomnia
administered
After
seven
sessions,
mean
changes
sleep
quality,
depressive
anxiety
symptoms,
worry
thoughts,
everyday
function
found,
significant
improvements
these
domains
full
absence
safety
issues.
Conclusions:
insomnia,
demonstrated
mood,
performance
over
15-day
protocol.
No
relevant
side
effects
reported.
long-term
effectiveness
still
unknown.
Clinical
Trial
Registration:
study
protocol
reviewed
published
ClinicalTrials.gov,
assigning
it
code
NCT05050292
https://clinicaltrials.gov/ct2/show/NCT05050292?term=NCT05050292&draw=2&rank=1.
British Journal of Clinical Psychology,
Journal Year:
2023,
Volume and Issue:
63(1), P. 73 - 91
Published: Oct. 21, 2023
Abstract
Objectives
Perfectionism
is
a
common
transdiagnostic
problem
that
may
lead
to
substantial
distress
and
functional
impairments.
Cognitive
behavioural
therapy
(CBT)
an
effective
treatment
for
perfectionism.
However,
the
existing
significant
barriers
access
utilization
of
mental
health
services,
including
among
college
students,
demand
development
low‐intensity
accessible
interventions.
The
aim
present
study
was
evaluate
effectiveness
CBT‐based
self‐help
gamified
app
developed
specifically
perfectionism
in
sample
students.
Methods
Participants
completed
assessments
perfectionism,
related
symptoms,
emotional
burden
impairments
at
pretreatment,
posttreatment
one‐month
follow‐up.
Results
Compared
with
waitlist
condition
(
n
=
35),
35)
demonstrated
greater
reduction
obsessive‐compulsive
subjective
ratings
burden.
Conclusions
suggest
brief,
daily
app‐based
game‐like
intervention
targeting
maladaptive
perfectionistic
beliefs
be
viable,
low‐cost
alternative
traditional
CBT
treatments
vulnerable
populations
on
campuses.