Journal of Behavioral Addictions,
Journal Year:
2021,
Volume and Issue:
9(4), P. 1002 - 1010
Published: Jan. 15, 2021
Numerous
studies
have
shown
that
people
who
Internet
addiction
(IA)
are
more
likely
to
experience
poor
sleep
quality
than
do
not.
However,
few
explored
mechanisms
underlying
the
relation
between
IA
and
quality.
As
a
first
attempt
address
this
knowledge
gap,
cross-sectional
design
was
applied,
structural
equation
modeling
used
explore
direct
relationship
quality,
as
well
potential
mediating
roles
of
rumination
bedtime
procrastination.A
convenience
sample,
consisting
1,104
Chinese
University
students
(696
females
or
63%),
completed
an
online
survey
included
following
measures:
Young's
8-item
Addiction
Diagnosis
Questionnaire,
Pittsburgh
Sleep
Quality
Index,
Ruminative
Responses
Scale,
Bedtime
Procrastination
Scale.While
path
not
found
be
significant,
procrastination
were
each
separately
mediate
predictive
effect
on
greatest
level
support
for
sequential
effects
quality.While
both
important
independent
mediators
their
combined
great
either
alone.
BMC Psychiatry,
Journal Year:
2017,
Volume and Issue:
17(1)
Published: March 21, 2017
Evidence
on
the
burden
of
depression,
internet
addiction
and
poor
sleep
quality
in
undergraduate
students
from
Nepal
is
virtually
non-existent.
While
interaction
between
quality,
depressive
symptoms
frequently
assessed
studies,
it
not
well
explored
if
or
statistically
mediates
association
other
two
variables.We
enrolled
984
27
campuses
Chitwan
Kathmandu,
Nepal.
We
these
using
Pittsburgh
Sleep
Quality
Index,
Young's
Internet
Addiction
Test
Patient
Health
Questionnaire-9
respectively.
included
responses
937
data
analysis
after
removing
questionnaires
with
five
percent
more
fields
missing.
Via
bootstrap
approach,
we
mediating
role
symptoms,
that
symptoms.Overall,
35.4%,
35.4%
21.2%
scored
above
validated
cutoff
scores
for
depression
Poorer
was
associated
having
lower
age,
being
alcohol
user,
a
Hindu,
sexually
active
failed
previous
year's
board
examination.
Higher
inactive
Depressive
were
higher
inactive,
examination
years
study.
mediated
16.5%
indirect
effect
symptoms.
hand,
30.9%
symptoms.In
current
study,
great
proportion
met
criteria
depression.
both
significant
However,
cross-sectional
nature
this
study
limits
causal
interpretation
findings.
Future
longitudinal
where
measurement
precedes
are
necessary
to
build
upon
our
understanding
development
students.
International Journal of Environmental Research and Public Health,
Journal Year:
2022,
Volume and Issue:
19(11), P. 6910 - 6910
Published: June 5, 2022
In
2020,
the
World
Health
Organization
formally
recognized
addiction
to
digital
technology
(connected
devices)
as
a
worldwide
problem,
where
excessive
online
activity
and
internet
use
lead
inability
manage
time,
energy,
attention
during
daytime
produce
disturbed
sleep
patterns
or
insomnia
nighttime.
Recent
studies
have
shown
that
problem
has
increased
in
magnitude
COVID-19
pandemic.
The
extent
which
dysfunctional
is
consequence
of
altered
motivation,
memory
function,
mood,
diet,
other
lifestyle
variables
results
from
excess
blue-light
exposure
when
looking
at
device
screens
for
long
hours
day
night
one
many
still
unresolved
questions.
This
article
offers
narrative
overview
some
most
recent
literature
on
this
topic.
analysis
provided
conceptual
basis
understanding
major
reasons
why
people,
adolescents
particular,
less
well
age.
It
discusses
definitions
mechanistic
model
accounts
context.
Digital
identified
functionally
equivalent
all
addictions,
characterized
by
compulsive,
habitual,
uncontrolled
devices
an
excessively
repeated
engagement
particular
behavior.
Once
urge
be
become
uncontrollable,
it
always
accompanied
severe
loss,
emotional
distress,
depression,
dysfunction.
extreme
cases,
may
suicide.
syndrome
been
linked
known
chronic
effects
drugs,
producing
disturbances
cellular
molecular
mechanisms
GABAergic
glutamatergic
neurotransmitter
systems.
Dopamine
serotonin
synaptic
plasticity,
essential
impulse
control,
memory,
are
measurably
altered.
full
spectrum
behavioral
symptoms
addicts
include
eating
disorders
withdrawal
outdoor
social
life.
Evidence
pointing
towards
melatonin
vitamin
D
metabolism
should
taken
into
account
carving
out
perspectives
treatment.
conclusions
offer
holistic
addiction,
deficit
key
factors.
Comprehensive Psychiatry,
Journal Year:
2025,
Volume and Issue:
137, P. 152572 - 152572
Published: Jan. 4, 2025
While
previous
cross-sectional
studies
have
suggested
a
link
between
psychotic-like
experiences
(PLEs)
and
internet
addiction
(IA),
longitudinal
evidence
remains
scarce.
This
study
aimed
to
explore
the
prospective
relationship
IA
PLEs
among
college
students.
A
total
of
636
students
(80
%
female)
were
assessed
in
November
2022
again
one
year
later.
was
measured
using
Internet
Addiction
Diagnosis
Questionnaire
(IADQ),
with
16-item
Prodromal
(PQ-16).
Demographic,
psychological,
environmental
factors
collected
controlled.
Multiple
logistic
regression
cross-lagged
panel
analyses
examined
associations
PLEs.
At
baseline,
prevalence
11.3
16.8
%,
respectively.
Higher
baseline
IADQ
scores
(Adjusted
odds
ratio
=
1.035;
95
confidence
interval
1.002-1.069;
p
0.036)
independently
associated
an
increased
risk
at
follow-up,
while
PQ-16
not
linked
later
IA.
Cross-lagged
analysis
revealed
that
predicted
(β
0.082,
0.043),
whereas
did
predict
0.049,
0.255).
Specifically,
unusual
thoughts
0.122,
0.003)
negative
0.111,
0.008),
but
perceptual
abnormalities
0.040,
0.301).
may
be
independent
factor
for
students,
particularly
PLEs,
abnormalities.
Targeted
interventions
addressing
help
reduce
Psychiatry and Clinical Neurosciences,
Journal Year:
2018,
Volume and Issue:
72(7), P. 531 - 539
Published: April 13, 2018
Research
on
the
adverse
effects
of
Internet
use
has
gained
importance
recently.
However,
there
is
currently
insufficient
data
Japanese
young
adults'
use,
so
we
conducted
a
survey
targeting
university
students
to
research
problematic
(PIU).
We
also
investigated
relationship
between
PIU
and
multiple
psychiatric
symptoms.A
paper-based
was
at
five
universities
in
Japan.
Respondents
were
asked
fill
out
self-report
scales
regarding
their
dependency
using
Addiction
Test
(IAT).
Sleep
quality,
attention-deficit
hyperactivity
disorder
(ADHD)
tendency,
depression,
anxiety
symptom
collected
based
respective
self-reports.There
1336
responses
1258
included
analysis.
The
mean
IAT
score
(±
SD)
37.87
±
12.59;
38.2%
participants
classified
as
PIU,
61.8%
non-PIU.
trend
level
for
women
showed
that
they
more
likely
be
than
men
(40.6%
35.2%
respectively,
P
=
0.05).
Compared
non-PIU
group,
group
used
longer
(P
<
0.001),
had
significantly
lower
sleep
quality
stronger
ADHD
tendencies
higher
Depression
scores
Trait-Anxiety
0.001).
Based
logistic
regression
analyses,
factors
contributed
an
increased
risk
were:
being
female
(odds
ratio
[OR]
1.52),
older
(OR
1.17),
having
poor
2.70),
depression
2.24),
1.43).We
found
high
prevalence
among
adults.
predicted
sex,
age,
tendencies,
anxiety.
International Journal of Environmental Research and Public Health,
Journal Year:
2021,
Volume and Issue:
18(2), P. 760 - 760
Published: Jan. 18, 2021
Adolescent
suse
internet
via
several
devices
to
gather
information
or
communicate.
Sleep,
as
a
key
factor
of
adolescents’
development,
contributes
their
physical
and
mental
health.
Over
the
past
decades
insufficient
sleep
among
adolescents
has
been
wide
spread,
one
its
attributing
factors
is
increased
availability
technology.
This
review
aims
investigate
body
evidence
regarding
impact
problematic
use
on
adolescent
sleep.
Extensive
search
databases
was
performed
according
PRISMA
guidelines
for
studies
published
within
last
decade,
subjects
aged
10–19.
The
final
step
yielded
12
original
studies.
quality
extracted
data
evaluated
with
AXIS
tool,
in
order
estimate
risk
bias.
All
showed
negative
correlation
between
use.
It
found
affect
quantity
provoke
insomnia
symptoms.
Interestingly,
adolescent’s
sex,
parental
educational
level,
type
family
leisure
academic
reasons
appeared
affecting
use-sleep
relationship.
Problematic
effects
Results
relevant
should
be
embedded
interventions
addressed
well
parents,
eliminate
outcomes
adolescence’s
health
general.
Journal of Behavioral Addictions,
Journal Year:
2017,
Volume and Issue:
6(4), P. 554 - 563
Published: Dec. 1, 2017
Background
and
aims
This
study
to
examine
the
mediating
effects
of
insomnia
on
associations
between
problematic
Internet
use,
including
addiction
(IA)
online
social
networking
(OSNA),
depression
among
adolescents.
Methods
A
total
1,015
secondary
school
students
from
Guangzhou
in
China
participated
a
cross-sectional
survey.
Levels
depression,
insomnia,
IA,
OSNA
were
assessed
using
Center
for
Epidemiological
Studies-Depression
Scale,
Pittsburgh
Sleep
Quality
Index,
Young’s
Diagnostic
Questionnaire,
Online
Social
Networking
Addiction
respectively.
Logistic
regression
models
fit
test
OSNA,
depression.
The
mediation
tested
Baron
Kenny’s
strategy.
Results
prevalence
at
moderate
level
or
above
(CES-D
≥
21),
23.5%,
37.2%,
8.1%,
25.5%,
IA
significantly
associated
with
(IA:
AOR
=
2.79,
95%
CI:
1.71,
4.55;
OSNA:
3.27,
2.33,
4.59)
2.83,
1.72,
4.65;
2.19,
1.61,
2.96),
after
adjusting
significant
background
factors.
Furthermore,
partially
mediated
60.6%
effect
(Sobel
Z
3.562,
p
<
.002)
44.8%
3.919,
.001),
Discussion
high
may
be
increased
risk
developing
adolescents,
both
through
direct
indirect
(via
insomnia).
Findings
this
indicated
that
it
effective
develop
implement
interventions
jointly
consider