Revista Latino-Americana de Enfermagem,
Год журнала:
2024,
Номер
32
Опубликована: Янв. 1, 2024
Objective:
to
verify
the
relationship
between
symptoms
of
depression,
anxiety,
stress
and
smartphone
addiction
in
COVID-19
nursing
students.
Method:
this
was
a
descriptive-analytical
study
206
A
sociodemographic
characterization
use
instrument
adapted
from
literature
following
scales
Depression,
Anxiety
Stress
Scale
Smartphone
Addiction
Inventory
were
used
for
data
collection.
Sociodemographic
analyzed
using
descriptive
statistics
multiple
logistic
regression.
Results:
prevalence
among
students
129
(62.6%)
there
moderate
depression
(p=0.049),
severe/very
severe
(p=0.005)
mild
anxiety
(p=0.028)
(p=0.019)
addiction.
Conclusion:
show
that
construction
implementation
policies
academic
hospital
context
prevent
control
associated
risk
factors
is
necessary.
The
Smartphone
Application-Based
Addiction
Scale
(SABAS)
is
a
validated
6-item
measurement
tool
for
assessing
problematic
smartphone
use
(PSU).
However,
the
absence
of
established
cutoff
points
SABAS
hinders
its
utilities.
This
study
aimed
to
determine
optimal
point
through
latent
profile
analysis
(LPA)
and
receiver
operating
characteristic
curve
(ROC)
analyses
among
63,
205.
Chinese
adolescents.
Additionally,
explored
whether
PSU
screening
with
could
effectively
capture
social
media
(PSMU)
internet
gaming
disorder
(IGD).We
recruited
63,205.
adolescents
using
cluster
sampling.
Validated
questionnaires
were
used
assess
PSMU,
IGD,
mental
health
(depression,
anxiety,
sleep
disturbances,
well-being,
resilience,
externalizing
internalizing
problems).LPA
identified
3-class
model
PSU,
including
low-risk
users
(38.6%,
n
=
24,388.),
middle-risk
(42.5%,
26,885.),
high-risk
(18.9%,
11,932.).
High-risk
regarded
as
"PSU
cases"
in
ROC
analysis,
which
demonstrated
an
cut-off
23
(sensitivity:
98.1%,
specificity:
96.8%).
According
point,
21.1%
(n
13,317.)
PSU.
displayed
higher
worse
health.
captured
IGD
86.8%,
84.5%)
PSMU
84.5%,
80.2%).A
potential
ideal
threshold
utilizing
identify
be
(out
36).
Employing
holds
reliably
pinpoint
both
PSMU.
World Journal of Psychiatry,
Год журнала:
2023,
Номер
13(6), С. 361 - 375
Опубликована: Июнь 19, 2023
Existing
research
has
demonstrated
that
depression
is
positively
related
to
smartphone
addiction,
but
the
role
of
sleep
not
been
discussed
thoroughly,
especially
among
engineering
undergraduates
affected
by
coronavirus
disease
2019
pandemic.To
evaluate
as
a
mediator
association
between
addiction
and
undergraduates.Using
multistage
stratified
random
sampling
method,
cross-sectional
survey
was
conducted
692
from
top
university
in
China,
data
were
collected
self-reported
electronic
questionnaires.
The
included
demographic
characteristics,
such
age,
gender,
Smartphone
Addiction
Scale-Short
Version
(SAS-SV),
9-item
Patient
Health
Questionnaire,
Pittsburgh
Sleep
Quality
Index.
Pearson
correlation
multiple
linear
regression
analyses
used
examine
depression,
while
structural
equation
models
established
possible
mediating
sleep.Based
on
cutoffs
SAS-SV,
rate
63.58
percent,
with
56.21
percent
for
women
65.68
men,
students.
prevalence
students
14.16
17.65
women,
13.18
men.
correlated
played
significant
effect
two,
accounting
42.22
total
effect.
In
addition,
latency,
disturbances,
daytime
dysfunction
significantly
mediated
relationship
addiction.
latency
0.014
[P
<
0.01;
95%
confidence
interval
(CI):
0.006-0.027],
disturbances
0.022
(P
95%CI:
0.011-0.040),
0.040
0.024-0.059).
influence
accounted
18.42%,
28.95%,
52.63%
effect,
respectively.The
results
study
suggest
reducing
excessive
use
improving
quality
can
help
alleviate
depression.
Revista Latino-Americana de Enfermagem,
Год журнала:
2024,
Номер
32
Опубликована: Янв. 1, 2024
Objective:
to
verify
the
relationship
between
symptoms
of
depression,
anxiety,
stress
and
smartphone
addiction
in
COVID-19
nursing
students.
Method:
this
was
a
descriptive-analytical
study
206
A
sociodemographic
characterization
use
instrument
adapted
from
literature
following
scales
Depression,
Anxiety
Stress
Scale
Smartphone
Addiction
Inventory
were
used
for
data
collection.
Sociodemographic
analyzed
using
descriptive
statistics
multiple
logistic
regression.
Results:
prevalence
among
students
129
(62.6%)
there
moderate
depression
(p=0.049),
severe/very
severe
(p=0.005)
mild
anxiety
(p=0.028)
(p=0.019)
addiction.
Conclusion:
show
that
construction
implementation
policies
academic
hospital
context
prevent
control
associated
risk
factors
is
necessary.
