Journal of Behavioral Addictions,
Год журнала:
2018,
Номер
7(4), С. 1171 - 1176
Опубликована: Ноя. 12, 2018
Mindfulness-based
intervention
(MBI)
has
been
applied
in
behavioral
addiction
studies
recent
years.
However,
few
empirical
using
MBI
have
conducted
for
smartphone
addiction,
which
is
prevalent
among
Chinese
university
students.
The
aim
of
this
study
was
to
investigate
the
effectiveness
a
group
mindfulness-based
cognitive-behavioral
(GMCI)
on
sample
students.Students
with
were
divided
into
control
(n
=
29)
and
an
41).
students
received
8-week
GMCI.
Smartphone
evaluated
scores
from
Mobile
Phone
Internet
Addiction
Scale
(MPIAS)
self-reported
use
time,
measured
at
baseline
(1st
week,
T1),
post-intervention
(8th
T2),
first
follow-up
(14th
T3),
second
(20th
T4).Twenty-seven
each
completed
follow-up.
time
MPIAS
significantly
decreased
T1
T3
group.
Compared
group,
had
less
T2,
T3,
T4
lower
T3.This
pilot
demonstrated
that
GMCI
could
alleviate
Abstract
Background
Over
the
past
decade,
smartphone
use
has
become
widespread
amongst
today’s
children
and
young
people
(CYP)
which
parallels
increases
in
poor
mental
health
this
group.
Simultaneously,
media
concern
abounds
about
existence
of
‘smartphone
addiction’
or
problematic
use.
There
been
much
recent
research
concerning
prevalence
is
who
smartphones,
how
syndrome
relates
to
outcomes,
but
not
synthesized
critically
evaluated.
Aims
To
conduct
a
systematic
review
meta-analysis
examine
PSU
quantify
association
with
harms.
Methods
A
search
strategy
using
Medical
Subject
Headings
was
developed
adapted
for
eight
databases
between
January
1,
1st
2011
October
15th
2017.
No
language
restriction
applied.
Of
924
studies
identified,
41
were
included
review,
three
cohort
38
cross
sectional
studies.
The
outcomes
self-reported:
depression;
anxiety;
stress;
sleep
quality;
decreased
educational
attainment,
according
an
priori
protocol.
Results
41,871
CYP,
55%
female.
median
CYP
23.3%
(14.0–31.2%).
associated
increased
odds
depression
(OR
=
3.17;95%CI
2.30–4.37;
I
2
78%);
anxiety
3.05
95%CI
2.64–3.53;
0%);
higher
perceived
stress
1.86;95%CI
1.24–2.77;
65%);
poorer
quality
2.60;
95%CI;
1.39–4.85,
78%).
Conclusions
reported
approximately
one
every
four
accompanied
by
health.
evolving
public
that
requires
greater
study
determine
boundary
helpful
harmful
technology
Policy
guidance
needed
outline
harm
reduction
strategies.
Smartphones
are
becoming
increasingly
indispensable
in
everyday
life
for
most
undergraduates
China,
and
this
has
been
associated
with
problematic
use
or
addiction.
The
aim
of
the
current
study
was
to
investigate
prevalence
smartphone
addiction
factors
male
female
undergraduates.This
cross-sectional
conducted
2016
included
1441
undergraduate
students
at
Wannan
Medical
College,
China.
Smartphone
Addiction
Scale
short
version
(SAS-SV)
used
assess
among
students,
using
accepted
cut-offs.
Participants'
demographic,
usage,
psycho-behavioral
data
were
collected.
Multivariate
logistic
regression
models
seek
associations
between
independent
variables
males
females,
separately.The
participants
29.8%
(30.3%
29.3%
females).
Factors
game
apps,
anxiety,
poor
sleep
quality.
Significant
multimedia
applications,
social
networking
services,
depression,
quality.Smartphone
common
medical
college
investigated.
This
identified
factors,
addiction,
differed
females.
These
results
suggest
need
interventions
reduce
students.
Computers in Human Behavior,
Год журнала:
2020,
Номер
114, С. 106414 - 106414
Опубликована: Май 20, 2020
This
article
provides
a
systematic
review
of
existing
research
on
problematic
smartphone
use
(PSU)
to
guide
other
researchers
in
search
relevant
studies,
and
propose
areas
for
future
research.
In
total,
293
studies
were
analyzed
leading
the
development
an
overview
model
field
PSU,
presenting
findings
demographic
factors,
explanations
why
this
becomes
problematic,
consequences
how
such
can
be
corrected.
addition,
we
considered
which
contexts,
with
methods,
theoretical
lenses
stream
has
been
studied
date.
Smartphone
is
most
often
explained
by
design,
users'
emotional
health
their
ability
control
use.
Our
suggests
that
people
who
are
young,
female,
highly
educated
more
prone
PSU.
Emotional
issues
frequently
identified
consequence
Strategies
correcting
PSU
fall
into
three
categories:
information-enhancing,
capacity-enhancing,
behavior
reinforcement
strategies.
The
conducted
using
quantitative
surveys
university
college
participants
considering
personal
Whereas
variety
frameworks
have
adopted
investigate
they
related
identifying
factors
explaining
use,
seldom
analyze
findings.
A
agenda
proposed
consisting
seven
key
questions
investigated
going
forward.
Addictive Behaviors Reports,
Год журнала:
2019,
Номер
9, С. 100150 - 100150
Опубликована: Апрель 12, 2019
Prior
research
has
found
that
psychopathology
constructs
such
as
depression
and
anxiety
are
associated
with
problematic
use
of
Facebook
(PFU).
In
the
present
study,
we
examined
a
structural
equation
model
whereby
depression,
social
lower
life
satisfaction
predicted
PFU
severity,
while
analyzing
mediating
variables
including
rumination,
fear
missing
out
(FoMO),
frequency
use,
well
age
gender
covariates.Participants
were
296
college
students
administered
web
survey
instruments
measuring
these
constructs.Modeling
results
demonstrate
FoMO
rumination
significantly
related
to
severity.
was
each
mediated
relations
between
severity.Results
discussed
in
context
prior
work
on
excessive
technology
several
relevant
theoretical
frameworks.
International Journal of Environmental Research and Public Health,
Год журнала:
2018,
Номер
15(12), С. 2692 - 2692
Опубликована: Ноя. 29, 2018
The
purpose
of
this
study
was
to
carry
out
a
review
observational
studies
that
consider
links
between
mobile
phone
use
and
mental
health
from
psychological
or
behavioral
perspective.
Systematic
literature
searches
in
PubMed
PsycINFO
for
articles
published
until
2017
were
done.
Exclusion
criteria
included:
papers
considered
radiofrequency
fields,
attention,
safety,
relational
consequences,
sexual
behavior,
cyberbullying,
reviews,
qualitative,
case
experimental
studies.
A
total
4738
screened
by
title
abstract,
404
retrieved
full
text,
290
included.
Only
5%
had
any
longitudinal
design.
Self-reporting
the
dominating
method
measurement.
One
third
included
children
youth.
majority
adult
populations
consisted
university
students
and/or
self-selected
participants.
main
research
results
associations
frequent
outcomes,
such
as
depressive
symptoms
sleep
problems.
Mobile
at
bedtime
associated
with,
e.g.,
shorter
duration
lower
quality.
“Problematic
use”
(dependency)
with
several
negative
outcomes.
In
conclusion,
adverse
outcomes
are
found
take
perspective
on
exposure.
However,
more
high
quality
needed
order
draw
valid
conclusions
about
mechanisms
causal
directions
associations.
Journal of Behavioral Addictions,
Год журнала:
2017,
Номер
6(2), С. 168 - 177
Опубликована: Апрель 19, 2017
Background
and
aims
Despite
many
positive
benefits,
mobile
phone
use
can
be
associated
with
harmful
detrimental
behaviors.
The
aim
of
this
study
was
twofold:
to
examine
(a)
cross-cultural
patterns
perceived
dependence
on
phones
in
ten
European
countries,
first,
grouped
four
different
regions
(North:
Finland
UK;
South:
Spain
Italy;
East:
Hungary
Poland;
West:
France,
Belgium,
Germany,
Switzerland),
second
by
country,
(b)
how
socio-demographics,
geographic
differences,
usage
patterns,
activities
predicted
dependence.
Methods
A
sample
2,775
young
adults
(aged
18–29
years)
were
recruited
Universities
who
participated
an
online
survey.
Measures
included
socio-demographic
variables,
use,
the
subscale
a
short
version
Problematic
Mobile
Phone
Use
Questionnaire
(PMPUQ;
Billieux,
Van
der
Linden,
&
Rochat,
2008).
Results
from
Northern
Southern
reported
heaviest
phones,
whereas
less
prevalent
Eastern
region.
However,
proportion
highly
dependent
users
more
elevated
UK,
France.
Regression
analysis
identified
several
risk
factors
for
increased
scores
PMPUQ
subscale,
namely
using
daily,
being
female,
engaging
social
networking,
playing
video
games,
shopping
viewing
TV
shows
through
Internet,
chatting
messaging,
downloading-related
activities.
Discussion
conclusions
Self-reported
is
influenced
frequency
specific
application
usage.