Journal of Affective Disorders,
Journal Year:
2023,
Volume and Issue:
327, P. 292 - 298
Published: Feb. 7, 2023
Previous
literature
has
shown
a
significant
association
between
sleep
and
depression,
whereas
limited
studies
have
examined
the
of
quality
with
self-harm
ideation
in
pregnant
Chinese
women.A
total
898
women
(first
to
third
trimester)
from
Young
Investigation
Study
were
enrolled
this
study.
The
Pittsburgh
Sleep
Quality
Index
(PSQI)
questionnaire
was
used
assess
quality.
Antepartum
depression
evaluated
using
Edinburgh
Postnatal
Depression
Scale
(EPDS).
Multivariable
logistic
regression
models
calculate
odds
ratios
(ORs)
95
%
confidence
intervals
(CIs).In
sample,
prevalence
poor
antepartum
44.3
24.4
%,
respectively.
Furthermore,
12.8
considered
as
having
ideation.
Individuals
different
trimesters
reported
similar
thoughts.
Women
more
likely
report
thoughts
if
they
categorized
or
depression.
And
moderate
severe
had
higher
risk
sleep,
compared
those
mild
Although
indirectly
influenced
through
mediation
effect
depressive
symptoms,
still
associated
2.62-fold
increased
among
second
trimester
(OR
=
2.62;
CI:
1.11-6.21),
after
adjustment
for
depression.Causality
cannot
be
inferred.
Results
should
generalized
carefully.
by
screening
tool
rather
than
clinical
interviews.The
quality,
symptoms
noteworthy
high.
Besides,
direct
also
found
trimester.
Our
findings
suggest
need
identify
intervene
when
disturbances
are
observed
during
pregnancy.
SLEEP Advances,
Journal Year:
2025,
Volume and Issue:
6(2)
Published: Feb. 12, 2025
Abstract
Diminished
sleep
health
is
a
known
warning
sign
for
suicide.
However,
the
contexts
and
time
periods
within
which
diminished
elevates
suicide
risk
are
unknown.
Modeling
complex
process
by
impacts
daily
functioning
establishing
proximal
factors
can
aid
in
addressing
these
important
knowledge
gaps.
This
paper
describes
methods
research
protocol
study
that
aims
to
elucidate
nature
of
sleep–suicide
relationship
develop
an
integrated
model
risk.
Participants
will
be
200
adults
at
high
recruited
from
psychiatric
inpatient
unit.
They
complete
baseline
assessment
including
clinical
interviews
self-reports,
laboratory
tasks
with
concurrent
electroencephalography
phenotype-relevant
processes.
followed
4
weeks
ecological
momentary
digital
phenotyping,
coupled
assessments
via
wearable
used
generate
minute-by-minute
metric
cognitive
effectiveness
using
Sleep
Activity,
Fatigue,
Task
Effectiveness
algorithm
index.
Follow-up
conducted
1-,
3-,
6-months
post-hospital
discharge
determine
how
developed
prospectively
predicts
suicidal
ideation
behavior.
The
results
this
have
potential
greatly
enhance
understanding
why
related
real-world
fluctuations
risk,
inform
efforts
better
prevent,
intervene
reduce
suicides.
Journal of Medical Internet Research,
Journal Year:
2025,
Volume and Issue:
27, P. e65272 - e65272
Published: May 6, 2025
Background
Worldwide,
30%-45%
of
adults
have
sleep
disorders,
which
are
linked
to
major
health
issues
such
as
diabetes
and
cardiovascular
disease.
Long-term
monitoring
with
traditional
in-lab
testing
is
impractical
due
high
costs.
Wearable
artificial
intelligence
(AI)–powered
solutions
offer
accessible,
scalable,
continuous
monitoring,
improving
the
identification
treatment
problems.
Objective
This
scoping
review
aims
provide
an
overview
AI-powered
wearable
devices
used
for
focusing
on
study
characteristics,
technology
features,
AI
methodologies
detection
analysis.
Methods
Seven
electronic
databases
(MEDLINE,
PsycINFO,
Embase,
IEEE
Xplore,
ACM
Digital
Library,
Google
Scholar,
Scopus)
were
searched
peer-reviewed
literature
published
before
March
2024.
Keywords
selected
based
3
domains:
AI,
devices.
The
primary
selection
criterion
was
inclusion
studies
that
utilized
algorithms
detect
or
predict
various
disorders
using
data
from
Study
conducted
in
2
steps:
first,
by
reviewing
titles
abstracts,
followed
full-text
screening.
Two
reviewers
independently
extraction,
resolving
discrepancies
consensus.
extracted
synthesized
a
narrative
approach.
Results
initial
search
yielded
615
articles,
46
met
eligibility
criteria
included
final
majority
focused
apnea.
widely
deployed
diagnosing
screening
disorders;
however,
none
it
treatment.
Commercial
most
commonly
type
technology,
appearing
30
out
(65%)
studies.
Among
these,
brands
rather
than
single
large,
well-known
brand;
19
(41%)
wrist-worn
Respiratory
25
(54%)
model
development,
heart
rate
(22/46,
48%)
body
movement
(17/46,
37%).
popular
algorithm
convolutional
neural
network,
adopted
17
(37%)
studies,
random
forest
(14/46,
30%)
support
vector
machines
(12/46,
26%).
Conclusions
offers
promising
disorders.
These
can
be
diagnosis;
research
other
apnea
remains
limited.
To
statistically
synthesize
performance
efficacy
results,
more
reviews
needed.
Technology
companies
should
prioritize
advancements
deep
learning
invest
treating
given
its
potential.
Further
necessary
validate
machine
techniques
clinical
develop
useful
analytics
collection,
prediction,
classification,
recommendation
context
Frontiers in Psychiatry,
Journal Year:
2020,
Volume and Issue:
11
Published: March 10, 2020
A
causal
relationship
between
sleep
disturbances
and
suicidal
behavior
has
been
previously
reported.
Insomnia
nightmares
are
considered
as
hallmarks
of
posttraumatic
stress
disorder
(PTSD).
In
addition,
patients
with
PTSD
have
an
increased
risk
for
suicidality.
The
present
article
gives
overview
about
the
existing
literature
on
suicidality
in
context
PTSD.
It
aims
to
demonstrate
that
diagnosing
treating
problems
still
underestimated
target
symptoms
may
provide
preventive
strategies
respect
However,
heterogeneous
study
designs,
different
samples
diverse
outcome
parameters
hinder
a
direct
comparison
studies
cannot
be
shown.
More
research
is
necessary
clarify
this
complex
tackle
value
treatment
suicide
prevention
SLEEP,
Journal Year:
2022,
Volume and Issue:
45(5)
Published: March 18, 2022
Sleep
disorders
are
related
to
mental
disorders.
Yet
few
studies
have
examined
their
association
with
suicide.
We
whether
males
and
females
diagnosed
sleep
had
higher
rates
of
suicide
than
individuals
not
In
a
cohort
study,
nationwide
data
on
all
aged
15+
years
living
in
Denmark
during
1980-2016
were
analysed.
identified
through
diagnoses
recorded
contacts
somatic
hospitals.
Incidence
Rate
Ratios
(IRR)
estimated
using
Poisson
regression
models
adjusted
for
covariates.
all,
3,674,563
3,688,164
included,
whom
82,223
(2.2%,
mean
age:
50.2,
SD:
17.5)
40,003
(1.1%,
50.6,
19.9)
disorder
diagnoses.
Compared
those
no
disorders,
the
IRRs
1.6
(95%
CI,
1.4-1.7)
2.2
1.8-2.6)
respectively.
Excess
narcolepsy
found
(IRR:1.2,
95%
1.0-1.5)
(IRR:3.3,
3.0-4.1),
apnea
(IRR:1.8,
1.5-2.2).
A
difference
respect
age
sex
was
observed
(P<0.001)
between
females.
Males
4.1
3.1-5.5)
7.0
4.8-10.1),
first
6
months
after
being
disorder.
associated
even
adjusting
pre-existing
Our
findings
suggest
attention
towards
suicidality
patients
is
warranted.
Translational Psychiatry,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: June 4, 2024
Abstract
The
glutamatergic
modulator
ketamine
is
associated
with
changes
in
sleep,
depression,
and
suicidal
ideation
(SI).
This
study
sought
to
evaluate
differences
arousal-related
sleep
metrics
between
36
individuals
treatment-resistant
major
depression
(TRD)
25
healthy
volunteers
(HVs).
It
also
determine
whether
normalizes
arousal
TRD
ketamine’s
effects
on
mediate
its
antidepressant
anti-SI
effects.
was
a
secondary
analysis
of
biomarker-focused,
randomized,
double-blind,
crossover
trial
(0.5
mg/kg)
compared
saline
placebo.
Polysomnography
(PSG)
studies
were
conducted
one
day
before
after
ketamine/placebo
infusions.
Sleep
measured
using
spectral
power
functions
over
time
including
alpha
(quiet
wakefulness),
beta
(alert
delta
(deep
sleep)
power,
as
well
macroarchitecture
variables,
wakefulness
onset
(WASO),
total
(TST),
rapid
eye
movement
(REM)
latency,
Post-Sleep
Onset
Efficiency
(PSOSE).
At
baseline,
diagnostic
included
lower
TST
(
p
=
0.006)
shorter
REM
latency
0.04)
the
versus
HV
group.
Ketamine’s
temporal
dynamic
(relative
placebo)
increased
earlier
night
later
night.
However,
there
no
significant
patterns
alpha,
beta,
or
metrics,
mediation
variables
These
results
highlight
role
sleep-related
part
systemic
neurobiological
initiated
administration.
Clinical
Trials
Identifier:
NCT00088699.
IEEE Access,
Journal Year:
2020,
Volume and Issue:
8, P. 71231 - 71244
Published: Jan. 1, 2020
Obstructive
sleep
apnea
(OSA)
is
a
disorder
in
which
repetitive
upper
airway
obstructive
events
occur
during
sleep.
These
can
induce
hypoxia,
risk
factor
for
multiple
cardiovascular
and
cerebrovascular
diseases.
OSA
also
known
to
be
position-dependent
some
patients,
referred
as
positional
(pOSA).
Screening
pOSA
necessary
order
design
more
personalized
effective
treatment
strategies.
In
this
article,
we
propose
analyzing
accelerometry
signals,
recorded
with
smartphone,
detect
monitor
at
home.
Our
objectives
were
to:
(1)
develop
an
algorithm
detecting
thoracic
movement
associated
disordered
breathing
events;
(2)
compare
the
performance
of
smartphones
monitoring
tools
type
3
portable
monitor;
(3)
explore
feasibility
using
smartphone
retrieve
reliable
patient
position
data
assess
pOSA.
Accelerometry
signals
collected
through
simultaneous
overnight
acquisition
both
devices
13
subjects.
The
tool
showed
high
degree
concordance
compared
device
succeeded
estimating
apnea-hypopnea
index
(AHI)
classifying
severity
level
most
To
agreement
between
two
systems,
event-by-event
comparison
was
performed,
found
sensitivity
90%
positive
predictive
value
80%.
It
possible
identify
by
determining
ratio
occurring
specific
versus
time
spent
that
night.
novel
results
suggest
are
promising
mHealth
Chronobiology International,
Journal Year:
2021,
Volume and Issue:
38(4), P. 509 - 517
Published: Jan. 4, 2021
The
aim
of
the
present
study
was
to
evaluate
whether
anxiety
and
insomnia
symptoms,
somatic
social
dysfunction
mediate
link
between
chronotype
suicidality,
as
depressive
symptoms
are
known
do,
among
students
faculties
Medicine
Psychology.
Data
from
a
total
289
were
eligible
for
analysis.
completed
Suicide
Behaviors
Questionnaire
–
Revised,
Composite
Scale
Morningness,
General
Health
Questionnaire.
Single-predictor
linear
regression
models
created
predict
with
subsequent
mediation
A
preference
toward
eveningness
associated
an
increase
in
suicidality
Somatic
anxiety/insomnia,
fully
mediated
relationship
suicidality.
Depressive
found
strongest
effect
size
mediation.
Social
both
but
did
not
play
mediating
role.
There
might
be
need
nonpsychotic
mental
health
indices
other
than
when
assessing
Medicine,
Journal Year:
2023,
Volume and Issue:
102(11), P. e33213 - e33213
Published: March 17, 2023
Insomnia
is
a
sleep
disorder
which
severely
affects
patients
mood,
quality
of
life
and
social
functioning,
serves
as
trigger
or
risk
factor
to
variety
diseases
such
depression,
cardiovascular
cerebrovascular
diseases,
obesity
diabetes,
even
increases
the
suicide,
has
become
an
increasingly
widespread
concern
worldwide.
Considerable
research
on
insomnia
been
conducted
in
modern
medicine
recent
years
encouraging
results
have
achieved
fields
genetics
neurobiology.
Unfortunately,
however,
pathogenesis
remains
elusive
medicine,
pharmacological
treatment
regarded
conventional.
However,
course
treatment,
itself
being
questioned
due
potential
dependence
drug
resistance
now
replaced
by
cognitive
behavior
therapy
first-line
treatment.
As
important
component
complementary
alternative
traditional
Chinese
especially
non-pharmacological
methods
acupuncture,
gaining
increasing
attention
In
this
article,
we
discuss
combination
treat
based
neurobiology
context
medicine.
Heliyon,
Journal Year:
2023,
Volume and Issue:
9(4), P. e15051 - e15051
Published: March 30, 2023
Although
current
studies
have
identified
sleep
disorders
as
an
independent
risk
factor
for
suicide,
the
relationship
between
and
suicide
has
not
been
well
established.
This
study
explored
whether
anxiety
depressive
symptoms
are
used
mediators
to
participate
in
impact
of
quality
on
risk.This
is
a
cross-sectional
study.
We
administered
psychological
questionnaire
participants,
using
combination
self-assessment
psychiatrist
assessment.Sleep
quality,
risk,
level
were
assessed
by
PSQI,
NGASR,
SAS
SDS.The
subjects
391
hospitalized
COVID-19
patients
from
Wuhan
hospitals.
model
6
PROCESS
(version
3.5)
plug-in
SPSS
software
conduct
mediation
test
with
variable,
dependent
intermediate
variables.The
severity
disorder
group
(63.15
±
13.71,
59.85
13.38,
6.52
3.67)
higher
than
those
non-sleep
(49.83
13.14,
44.87
10.19,
2.87
3.26)
(P
<
0.001).
The
works
well,
total
indirect
effect
was
0.22
(95%CI
=
[0.17,
0.28]),
direct
0.16
[0.08,
0.24]).This
scale.Anxiety
played
chain
mediating
role
risk.