Alcohol Clinical and Experimental Research,
Год журнала:
2024,
Номер
48(4), С. 680 - 691
Опубликована: Март 28, 2024
Abstract
Background
While
sleep
and
circadian
rhythms
are
recognized
contributors
to
the
risk
for
alcohol
use
related
problems,
few
studies
have
examined
whether
objective
measures
can
predict
future
in
humans,
no
such
been
conducted
adults.
This
study
any
baseline
and/or
characteristics
of
otherwise
healthy
adults
predicted
their
over
subsequent
12
months.
Methods
Participants
(21–42
years)
included
28
light
50
heavy
drinkers.
At
baseline,
a
comprehensive
range
self‐reported
sleep/circadian
was
assessed
via
questionnaires,
wrist
actigraphy,
measurement
dim
melatonin
onset
photoreceptor
responsivity.
Following
this,
number
alcoholic
drinks
per
week
binge
drinking
episodes
month
were
quarterly
Anticipated
effects
(stimulation,
sedation,
rewarding
aspects)
also
Analyses
generalized
linear
mixed‐effects
models
causal
mediation
analysis.
Results
Across
measures,
only
insomnia
symptoms
longer
total
time
at
more
binges
(
p
s
<0.02).
There
trend
anticipated
effect
wanting
6‐month
timepoint
mediate
relationship
between
months
=
0.069).
Conclusions
These
results
suggest
that
adults,
symptoms,
even
if
subclinical,
significant
predictor
drinking,
appear
outweigh
influence
factors
on
least
Insomnia
may
be
modifiable
target
reducing
misuse.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies,
Год журнала:
2020,
Номер
4(2), С. 1 - 33
Опубликована: Июнь 15, 2020
Traditionally,
sleep
monitoring
has
been
performed
in
hospital
or
clinic
environments,
requiring
complex
and
expensive
equipment
set-up
expert
scoring.
Wearable
devices
increasingly
provide
a
viable
alternative
for
are
able
to
collect
movement
heart
rate
(HR)
data.
In
this
work,
we
present
set
of
algorithms
sleep-wake
sleep-stage
classification
based
upon
actigraphy
cardiac
sensing
amongst
1,743
participants.
We
devise
features
that
could
be
extracted
from
research-grade
wearable
sensors
derive
models
evaluate
their
performance
the
largest
open-access
dataset
human
science.
Our
results
demonstrated
neural
network
outperform
traditional
machine
learning
methods
heuristic
both
classification.
Convolutional
networks
(CNNs)
long-short
term
memory
(LSTM)
were
best
performers
classification,
respectively.
Using
SHAP
(SHapley
Additive
exPlanation)
with
Random
Forest
identified
frequency
critical
Finally,
introduced
an
ensemble-based
approach
which
outperformed
all
other
baselines,
achieving
accuracy
78.2%
F1
score
69.8%
on
task
three
stages.
Together,
work
represents
first
systematic
multimodal
evaluation
large,
diverse
population.
Alongside
presentation
accurate
approach,
highlight
approaches
as
scalable
sleep-classification,
providing
guidance
optimal
algorithm
deployment
automated
assessment.
The
code
used
study
can
found
online
at:
https://github.com/bzhai/multimodal_sleep_stage_benchmark.git
Nutrients,
Год журнала:
2020,
Номер
12(4), С. 999 - 999
Опубликована: Апрель 4, 2020
Recent
studies
indicate
that
the
timing
of
food
intake
can
significantly
affect
metabolism
and
weight
management.
Workers
operating
at
atypical
times
24-h
day
are
risk
disturbed
feeding
patterns.
Given
increased
gain,
obesity
metabolic
syndrome
in
shift
working
populations,
further
research
is
required
to
understand
whether
their
eating
behavior
could
contribute
these
risks.
The
objective
this
study
was
characterize
dietary
patterns
police
officers
across
different
types
shifts
natural
environments.
Thirty-one
(six
women;
aged
32.1
±
5.4
years,
mean
SD)
from
province
Quebec,
Canada,
participated
a
28-
35-day
study,
comprising
9-
12-h
morning,
evening,
night
alternating
with
rest
days.
Sleep
work
were
recorded
actigraphy
diaries.
For
least
24
h
during
each
type
day,
participants
logged
nutrient
by
timestamped
photographs
on
smartphones.
Macronutrient
composition
caloric
content
estimated
registered
dieticians
using
Nutrition
Data
System
for
Research
database.
analyzed
linear
mixed
effects
models
circular
ANOVA.
More
calories
consumed
relative
individual
requirements
days
than
both
evening-
night-shift
(p
=
0.001),
largely
sourced
fat
0.004)
carbohydrate
(trend,
p
0.064)
intake.
Regardless,
proportions
carbohydrates,
fat,
protein
did
not
differ
between
night,
2300
0600
h,
any
other
<
0.001).
Caloric
occurred
later
(2308
0114
(1525
0029
h;
0.01)
dispersed
longer
window
(13.9
3.1
vs.
11.3
1.8
SD).
As
macronutrient
similar
lower,
finding
meals
versus
consistent
emerging
hypotheses
implicate
biological
intake—rather
its
quantity
or
composition—as
differentiating
factor
worker
health.
Nutrients,
Год журнала:
2020,
Номер
13(1), С. 73 - 73
Опубликована: Дек. 29, 2020
Accumulating
evidence
suggests
that
later
timing
of
energy
intake
(EI)
is
associated
with
increased
risk
obesity.
In
this
study,
83
individuals
overweight
and
obesity
underwent
assessment
a
7-day
period
data
collection,
including
measures
body
weight
composition
(DXA)
24-h
EI
(photographic
food
records),
sleep
(actigraphy),
physical
activity
(PA,
monitors)
for
7
days.
Relationships
between
mass
index
(BMI)
percent
fat
meal
timing,
sleep,
PA
were
examined.
For
every
1
h
start
eating,
there
was
1.25
(95%
CI:
0.60,
1.91)
unit
increase
in
(False
Discovery
Rate
(FDR)
adjusted
p
value
=
0.010).
midpoint
the
eating
window,
1.35
0.51,
2.19)
(FDR
0.029).
end
period,
1.64
0.56,
2.72)
0.044).
Later
also
lower
levels.
summary,
are
higher
levels
people
Abstract
Study
Objectives
Structural
brain
maturation
and
sleep
are
complex
processes
that
exhibit
significant
changes
over
adolescence
linked
to
many
physical
mental
health
outcomes.
We
investigated
whether
sleep–gray
matter
relationships
developmentally
invariant
(i.e.
stable
across
age)
or
specific
only
present
during
discrete
time
windows)
from
late
childhood
through
young
adulthood.
Methods
constructed
the
Neuroimaging
Pediatric
Sleep
Databank
eight
research
studies
conducted
at
University
of
Pittsburgh
(2009–2020).
Participants
completed
a
T1-weighted
structural
MRI
scan
(sMRI)
5–7
days
wrist
actigraphy
assess
naturalistic
sleep.
The
final
analytic
sample
consisted
225
participants
without
current
psychiatric
diagnoses
(9–25
years).
extracted
cortical
thickness
subcortical
volumes
sMRI.
patterns
(duration,
timing,
continuity,
regularity)
were
estimated
actigraphy.
Using
regularized
regression,
we
examined
cross-sectional
associations
between
sMRI
measures
patterns,
as
well
effects
age,
sex,
their
interaction
with
on
Results
Shorter
duration,
later
poorer
continuity
associated
thinner
cortex
altered
in
diverse
regions
adolescence.
In
subset
(e.g.
posterior
cingulate),
was
these
early-to-mid
but
not
Conclusions
adolescence,
exist
gray
structure,
sensory,
cognitive,
emotional
processes.
intervention
developmental
periods
could
potentially
promote
healthier
neurodevelopmental
Rest-activity
rhythms
(RAR)
may
mark
development,
aging,
and
physical
mental
health.
Understanding
how
they
differ
between
people
inform
intervention
health
promotion
efforts.
However,
RAR
characteristics
across
the
lifespan
have
not
been
well-studied.
Therefore,
we
investigated
association
measures
with
demographic
lifestyle
factors
in
a
US
nationally
representative
study.
Abstract
Study
Objectives
Multiple
sleep
characteristics
are
informative
of
health,
cluster,
and
health
can
be
described
as
a
composite
positive
attributes.
We
assessed
the
association
between
score
reflecting
multiple
dimensions,
mortality.
tested
hypothesis
that
more
favorable
(higher
scores)
is
associated
with
lower
Methods
The
Multi-Ethnic
Atherosclerosis
(MESA)
racially
ethnically-diverse
multi-site,
prospective
cohort
study
US
adults.
Sleep
was
measured
using
unattended
polysomnography,
7-day
wrist
actigraphy,
validated
questionnaires
(2010–2013).
1726
participants
were
followed
for
median
6.9
years
(Q1–Q3,
6.4–7.4
years)
until
death
(171
deaths)
or
last
contact.
Survival
models
used
to
estimate
exposure
scores
outcome
all-cause
mortality,
adjusting
socio-demographics,
lifestyle,
medical
comorbidities;
follow-up
analyses
examined
associations
individual
metrics
exposure,
score,
constructed
by
an
empirically-based
Principal
Components
Analysis
on
13
metrics,
selected
priori.
Results
After
confounders,
1
standard
deviation
(sd)
higher
25%
hazard
mortality
(Hazard
Ratio
[HR]:
0.75;
95%
Confidence
interval:
[0.65,
0.87]).
largest
drivers
this
were:
night-to-night
regularity,
total
time,
Apnea-Hypopnea
Index.
Conclusion
More
across
characteristics,
operationalized
risk
in
diverse
suggest
interventions
address
dimensions
may
provide
novel
approaches
improving
health.
There
is
mixed
evidence
regarding
associations
of
sleep
duration
with
academic
functioning
in
adolescents
and
a
lack
research
on
other
dimensions,
particularly
using
objective
measures.
We
examined
multiple
actigraphic
dimensions
among
adolescents.