Obesity,
heart
disease,
diabetes,
and
depression
have
all
been
linked
to
insufficient
sleep.
Analysis
of
one's
sleep
habits
using
smartphone
has
gained
popularity
as
a
possible
solution.
In
this
paper,
we
provide
framework
for
analyzing
mobile
devices.
Because
their
widespread
availability
extensive
sensor
suite,
cellphones
are
being
use
in
research.
Motion
orientation
sensors
audio
recorders
used
analysis.
Both
head
body
motions
tracked
by
the
gyroscope
accelerometer,
respectively.
The
microphone
is
sensitive
enough
pick
up
noises
like
snoring.
Approaches
analysis
on
smartphones
range
widely.
Sensor
data
may
be
analyzed
machine
learning
algorithms.
These
systems
can
distinguish
between
light,
deep,
REM
from
motion
sound
sensors.
Gather
information
about
your
surveys
or
questionnaires
Pittsburgh
Sleep
Quality
Index
(PSQI)
Epworth
Sleepiness
Scale
(ESS).
patterns
with
device
several
benefits.
It's
simple
non-invasive
way
study
how
you
Second,
it
offers
continuous
monitoring
sleep,
which
might
lead
identification
resolution
disorders.
Third,
objective
diagnosis
disorders
development
individualized
treatment
plans.
slumber
shed
light
our
sleeping
encourage
healthy
ones.
Machine
algorithms
two
methods
quality
smartphone.
Smartphone-based
studies
easy
implement
conduct,
they
reliable,
nightly
slumber.
Journal of Ecohumanism,
Journal Year:
2025,
Volume and Issue:
4(1)
Published: Jan. 17, 2025
This
research
corresponds
to
a
completely
randomized
blocked
factorial
experimental
design.
The
independent
variable
Sleep
Quality
is
used
as
factor
and
the
Control
of
academic
progress
(evaluations)
blocks,
response
performance.
was
carried
out
at
Faculty
Industrial
Engineering
public
university
in
city
Lima
-
Peru.
To
determine
quality
sleep,
Pittsburgh
Index
variable,
average
grades
students
from
first
evaluations
semester
were
used.
results
consistent
with
hypotheses
proposed
by
authors,
that
is;
sleep
affects
performance
students.
Behavioral Sciences,
Journal Year:
2023,
Volume and Issue:
13(10), P. 839 - 839
Published: Oct. 13, 2023
The
purpose
of
this
investigation
was
to
study
the
relationship
between
sleep
quality,
problematic
smartphone
use
(PSU)
and
bedtime
procrastination,
as
well
assess
gender
age
differences.
A
total
313
participants,
aged
18-60
(
Asian Journal of Psychiatry,
Journal Year:
2024,
Volume and Issue:
98, P. 104124 - 104124
Published: June 21, 2024
The
excessive
use
of
smartphones
and
its
association
with
adverse
outcomes
has
been
widely
reported,
several
studies
showing
an
between
smartphone
overuse,
depression,
anxiety,
sleep
related
problems.
study
used
data
from
the
Health
Lifestyle
Survey
-
a
nationwide
population
survey
primarily
aimed
to
examine
prevalence
Problematic
Smartphone
Use
(PSU)
mental
health
among
Singapore
residents
aged
15-65
years.
were
assessed
for
PSU
using
Addiction
Scale-Short
Version,
psychological
distress
Patient
Questionnaire-9,
Generalised
Anxiety
Disorder
-7
questionnaire,
problems
Insomnia
Severity
Index,
positive
Rapid
Positive
Mental
Instrument.
In
all
6509
participants
completed
survey,
giving
response
rate
73.2%.
was
30.2%
in
population.
Individuals
more
likely
have
symptoms
moderate
or
severe
depression
(OR:
3.2,
95%
CI:
2.4-4.4),
anxiety
3.4,
2.4-4.8),
insomnia
2.8-4.2),
poorer
(β:
-0.3,
-0.4
-0.2).
is
first
national
sample
Singaporeans
across
wide
age
range.
It
provides
valuable
insights
on
comorbidities
those
which
useful
practitioners.
Heliyon,
Journal Year:
2023,
Volume and Issue:
9(6), P. e16586 - e16586
Published: May 26, 2023
The
adoption
of
Mobile
Health
(mHealth)
for
self-management
is
growing.
mHealth
solutions
are
commonly
used
in
public
healthcare
and
health
services,
where
they
appreciated
their
ease
use,
broad
reach,
wide
acceptance.
Chronic
Low
Back
Pain
(CLBP)
one
the
most
common
problems
a
leading
cause
disability.
As
such,
it
imposes
tremendous
burden
on
patients
society.
Studies
have
proposed
that
solutions,
such
as
mobile
applications,
can
supplement
traditional
care
methods
benefit
patients,
particularly
self-managing
CLBP
easier.
To
this
end,
number
available
applications
has
increased.
This
paper
i)
provides
an
overview
scientific
studies
management
from
three
different
viewpoints:
researchers,
professionals,
ii)
uncovers
application
features
were
seen
beneficial
studies,
iii)
contrasts
currently
Google
Play
Store
Apple
App
against
discovered
features.
findings
show
"Personalization
customization"
significant
feature
stakeholders'
viewpoint
represented
by
applications.
In
contrast,
"Gamification"
"Artificial
intelligence"
least
features,
indicating
lack
attention
creators
researchers
area.
Brain Communications,
Journal Year:
2024,
Volume and Issue:
6(3)
Published: Jan. 1, 2024
Abstract
Exposure
to
short-wavelength
light
before
bedtime
is
known
disrupt
nocturnal
melatonin
secretion
and
can
impair
subsequent
sleep.
However,
while
it
has
been
demonstrated
that
older
adults
are
less
affected
by
light,
there
limited
research
exploring
differences
between
adolescents
young
adults.
Furthermore,
remains
unclear
whether
the
effects
of
evening
on
sleep
architecture
extend
sleep-related
processes,
such
as
declarative
memory
consolidation.
Here,
we
recorded
polysomnography
from
33
male
(15.42
±
0.97
years)
35
(21.51
2.06
in
a
within-subject
design
during
three
different
nights
investigate
impact
reading
for
90
min
either
smartphone
with
or
without
blue-light
filter
printed
book.
We
measured
subjective
sleepiness,
secretion,
physiology
sleep-dependent
While
sleepiness
remained
unaffected,
observed
significant
attenuation
effect
both
age
groups
immediately
after
filter.
Interestingly,
fully
recovered
following
50
bedtime,
whereas
still,
at
exhibited
significantly
reduced
levels.
Sleep-dependent
consolidation
coupling
spindles
slow
oscillations
were
not
groups.
Nevertheless,
showed
reduction
N3
first
night
quarter.
In
summary,
avoiding
use
last
hour
advisable
prevent
disturbances.
Our
empirically
supports
general
hygiene
advice
inform
future
recommendations
regarding
smartphones
other
screen-based
devices
bedtime.
JMIR Formative Research,
Journal Year:
2025,
Volume and Issue:
9, P. e67223 - e67223
Published: March 10, 2025
Background
The
widespread
use
of
smart
devices,
particularly
among
university
students,
has
raised
concerns
about
their
impact
on
sleep
quality.
Bedtime
usage
devices
is
associated
with
disruptions
and
poor
Objective
This
study
aimed
to
explore
the
behavioral
perceptual
factors
influencing
students’
intention
stop
using
at
bedtime
in
Saudi
Arabia.
Methods
A
cross-sectional
survey
was
conducted
June
2024
distributed
via
social
media
platforms
students
(aged
≥18
years).
questionnaire
collected
data
demographics,
device
habits,
perceived
negative
effects
sleep,
physical
disturbances.
Pittsburgh
Sleep
Quality
Index
used
assess
Path
analysis
performed
evaluate
relationships
between
outcome
variables,
intended
usage,
3
latent
variables:
quality
smartphone
effects,
during
past
month.
Model
fit
assessed
chi-square,
comparative
index,
root
mean
square
error
approximation.
Results
Of
774
participants,
90.43%
(700/774)
reported
every
night
72.48%
(561/774)
believed
negatively
affected
them
next
morning.
most
frequently
next-morning
symptoms
were
fatigue
or
drowsiness
(480/774,
62.01%).
Common
purposes
for
staying
touch
friends
family
(432/774,
55.81%),
entertainment
(355/774,
45.86%),
filling
up
spare
time
(345/774,
44.57%).
Overall,
58.26%
(451/774)
expressed
an
within
months.
demonstrated
that
frequent
nightly
(path
coefficient=0.36)
after-lights-off
(0.49)
positively
stop,
whereas
spending
≥3
hours
(–0.35)
engaging
multiple
activities
(–0.18)
had
associations.
strongest
predictors
well-being
(0.71)
difficulty
breathing
comfortably
(0.64).
excellent
(comparative
index=0.845
approximation=0.039).
Conclusions
Perceived
disturbances
are
strong
Interventions
improving
hygiene
should
focus
raising
awareness
addressing
behaviors
such
as
late-night
heavy
screen
time.
Public
health
strategies
target
both
psychological
physiological
aspects
improve
this
population.
JAMA Network Open,
Journal Year:
2025,
Volume and Issue:
8(3), P. e252493 - e252493
Published: March 27, 2025
Importance
Electronic
screen
use
before
bed
may
disrupt
circadian
rhythms,
leading
to
poorer
sleep.
Objective
To
investigate
the
association
between
and
sleep
outcomes
among
adults.
Design,
Setting,
Participants
This
cross-sectional
study
included
participants
in
American
Cancer
Society
Prevention
Study–3,
a
prospective
cohort
of
men
women
from
35
US
states
Puerto
Rico,
who
responded
2018
survey.
Analyses
were
conducted
February
3,
2023,
January
10,
2025.
Exposures
Self-reported
electronic
hour
prior
bed.
Main
Outcomes
Measures
sleep-wake
times
(used
calculate
duration),
quality,
chronotype.
Mean
differences
for
duration
bedtimes,
prevalence
ratios
quality
calculated
by
using
multivariable
linear
Poisson
regression,
respectively.
Whether
these
associations
differed
chronotype
was
also
examined.
Results
Of
122
058
(97
658
[80.0%];
median
[IQR]
age,
56
[47-62]
years;
range,
27-85
years),
70
638
(57.9%)
reported
morning
Daily
50
289
(41.2%),
whereas
21
275
(17.4%)
no
use.
Compared
with
use,
daily
associated
33%
higher
poor
(prevalence
ratio,
1.33;
95%
CI,
1.27-1.39)
7.64
fewer
minutes
on
workdays
(95%
6.65-8.63
minutes).
The
more
pronounced
evening
chronotypes
(8.36
minutes;
4.94-11.78
minutes)
vs
those
(5.64
3.98-7.29
5.04
4.03-6.05
nonworkdays.
users
went
9.33
later
7.61-11.06
minutes),
15.62
11.93-19.31
workdays.
similar
Conclusions
Relevance
bedtimes
approximately
less
each
week.
Associations
greater
chronotypes,
are
at
risk
due
social
jetlag
(ie,
misalignment
rhythms
commitments).
These
findings
confirm
disruptions
screens
not
limited
children
adolescents.
Further
work
is
needed
understand
best
mechanisms
intervention.
Eurasian Journal of Medicine,
Journal Year:
2024,
Volume and Issue:
56(1), P. 69 - 75
Published: March 1, 2024
This
study
investigated
the
relationships
between
smartphone
use,
bedtime
procrastination,
and
adolescent
sleep
quality.
Specifically,
whether
procrastination
mediates
relationship
problematic
use
(PSU)