Clinical and Translational Neuroscience,
Journal Year:
2024,
Volume and Issue:
8(1), P. 11 - 11
Published: Feb. 2, 2024
Recently,
it
has
become
increasingly
clear
that
there
is
a
bidirectional
relationship
between
sleep/circadian
rhythms
and
neurodegeneration.
Knowledge
about
this
topic
further
improved
after
the
description
of
glymphatic
system,
which
mainly
active
during
sleep.
Changes
in
sleep
circadian
are
present
not
only
overt
neurodegenerative
diseases
but
also
their
early,
prodromal,
preclinical
phases,
supporting
they
precede
(and
contribute
to)
development
This
narrative
review
provides
brief
overview
rhythm
disruption
neurodegeneration,
highlights
changes
addresses
future
perspectives,
particular,
whether
able
to
predict
neurodegeneration
potential
actionability
prevent
or
modulate
diseases.
Frontiers in Public Health,
Journal Year:
2024,
Volume and Issue:
11
Published: Jan. 10, 2024
Background
Short
sleep
duration
in
healthcare
professionals
is
a
recurring
concern
among
researchers.
On
the
other
hand,
prevalence
of
burnout
this
population
group
experiencing
exponential
growth.
Therefore,
study
aimed
to
explore
association
between
and
professionals.
Methods
This
cross-sectional
study.
Data
were
collected
by
applying
non-probabilistic
convenience
sampling,
considering
sample
300
from
public
sector
Peru.
The
variables
was
explored
using
multivariate
logistic
regression.
Values
p
<
0.05
considered
statistically
significant.
Results
results
analysis
crude
models
revealed
that
both
men
women
who
slept
7
h
during
workdays
days
off
8.33
(95%
CI
=
2.68–13.99,
0.004)
17.18
10.50–23.87,
0.001)
times
more
likely
have
compared
those
reported
≥7
h,
respectively.
After
adjusting
for
confounding
variables,
remained
Conclusion
findings
underscore
critical
importance
incidence
In
context
global
challenges
mental
physical
health
these
professionals,
our
highlight
urgent
need
implement
strategies
at
organizational
individual
level.
includes
promoting
better
work-life
balance,
effective
stress
management
improved
quality.
BMC Psychology,
Journal Year:
2024,
Volume and Issue:
12(1)
Published: Jan. 19, 2024
Abstract
Objective
The
sleep
of
healthcare
students
is
worth
discovering.
Mental
health
and
self-rated
are
thought
to
be
associated
with
quality.
As
such,
valid
instruments
assess
quality
in
crucial
irreplaceable.
This
study
aimed
investigate
the
measurement
properties
Sleep
Quality
Questionnaire
(SQQ)
for
Chinese
students.
Methods
Two
longitudinal
assessments
were
undertaken
among
students,
a
total
595,
between
December
2020
January
2021.
Measures
include
version
SQQ,
Patient
Health
Questionnaire-4
(PHQ-4),
Self-Rated
(SRHQ),
sociodemographic
questionnaire.
Structural
validity
through
confirmatory
factor
analysis
(CFA)
was
conducted
examine
structure
SQQ.
T-tests
ANOVAs
used
differences
scores.
Multi
Group
CFA
respectively
cross-sectional
invariance
across
two-time
interval,
i.e.,
cross-cultural
validity.
Construct
validity,
internal
consistency,
test–retest
reliability
correspondingly
examined
via
Spearman
correlation,
Cronbach’s
alpha
McDonald’s
omega,
intraclass
correlation
coefficient.
Multiple
linear
regression
performed
incremental
SQQ
based
on
PHQ-4
SRHQ
as
indicators
criterion
variables.
Results
results
suggested
that
two-factor
model
SQQ-9
(item
2
excluded)
had
best
fit.
scores
differed
significantly
by
age,
grade,
academic
stage,
hobby,
stress
coping
strategy,
anxiety,
depression,
subgroups.
Measurement
supported
terms
aforesaid
subgroups
two
time
intervals.
In
analyses,
moderately
strong
predictors
good
consistency
reliability.
Conclusion
Good
suggest
promising
practical
instrument
assessing
Journal of Sleep Research,
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 5, 2024
Summary
This
study
evaluates
the
performance
of
two
major
artificial
intelligence‐based
tools
(ChatGPT‐4
and
Google
Bard)
in
debunking
sleep‐related
myths.
More
detail,
present
research
assessed
20
sleep
misconceptions
using
a
5‐point
Likert
scale
for
falseness
public
health
significance,
comparing
responses
intelligence
with
expert
opinions.
The
results
indicated
that
Bard
correctly
identified
19
out
statements
as
false
(95.0%
accuracy),
not
differing
from
ChatGPT‐4
(85.0%
accuracy,
Fisher's
exact
test
p
=
0.615).
Bard's
ratings
averaged
4.25
±
0.70,
showing
moderately
negative
skewness
(−0.42)
kurtosis
(−0.83),
suggesting
distribution
fewer
extreme
values
compared
ChatGPT‐4.
In
assessing
mean
score
was
2.4
0.80,
0.36
−0.07,
respectively,
indicating
more
normal
inter‐rater
agreement
between
experts
had
an
intra‐class
correlation
coefficient
0.58
0.69
moderate
alignment
(
0.065
0.014,
respectively).
Text‐mining
analysis
revealed
focus
on
practical
advice,
while
concentrated
theoretical
aspects
sleep.
readability
suggested
were
accessible,
aligning
8th‐grade
level
material,
versus
ChatGPT‐4's
12th‐grade
complexity.
demonstrates
potential
education,
especially
health,
underscores
importance
accurate,
reliable
intelligence‐generated
information,
calling
further
collaboration
developers,
professionals
educators
to
enhance
effectiveness
promotion.
Clinical and Translational Neuroscience,
Journal Year:
2024,
Volume and Issue:
8(1), P. 11 - 11
Published: Feb. 2, 2024
Recently,
it
has
become
increasingly
clear
that
there
is
a
bidirectional
relationship
between
sleep/circadian
rhythms
and
neurodegeneration.
Knowledge
about
this
topic
further
improved
after
the
description
of
glymphatic
system,
which
mainly
active
during
sleep.
Changes
in
sleep
circadian
are
present
not
only
overt
neurodegenerative
diseases
but
also
their
early,
prodromal,
preclinical
phases,
supporting
they
precede
(and
contribute
to)
development
This
narrative
review
provides
brief
overview
rhythm
disruption
neurodegeneration,
highlights
changes
addresses
future
perspectives,
particular,
whether
able
to
predict
neurodegeneration
potential
actionability
prevent
or
modulate
diseases.
