2018 6th International Conference on Cyber and IT Service Management (CITSM),
Journal Year:
2023,
Volume and Issue:
unknown, P. 1 - 6
Published: Nov. 10, 2023
This
research
objective
is
to
use
Artificial
Intelligence
(AI)
detect
Loneliness
in
the
community
using
demographics
dataset.
It
uses
Rajabhat
Dataset
and
Machine
Learning
algorithms
(SVM,
Logistic
Regression,
Decision
Tree)
classify
their
loneliness
levels
percentage.
For
data
collection,
it
gathers
from
ten
sub-districts
both
Pathum
Thani
Sakaew
province
with
3,349
households
(11,214
population
samples)
for
learning
testing
a
model.
Regression
best
model's
accuracy
analyse
entire
demographic
examples,
Females,
males,
ages
have
explained
78.47%
of
variance
Loneliness.
The
effect
differed
significantly
zero,
$F
=20424.65,
p
=
\lt.001,R^{2}=
0.78.$
Finally,
can
be
used
participant
as
early
classification
services
local
analysis
approach.
results
are
presented
at
end
this
research.
However,
there
no
single
way
loneliness,
which
varies
depending
on
individual
situation.
International Journal of Environmental Research and Public Health,
Journal Year:
2022,
Volume and Issue:
19(17), P. 10816 - 10816
Published: Aug. 30, 2022
Loneliness
affects
well-being
and
has
long-term
negative
impacts
on
physical
mental
health,
educational
outcomes,
employability.
Because
of
those
current
impacts,
loneliness
is
a
significant
issue
for
which
we
need
reliable
appropriate
measurement
scales.
In
the
paper,
psychometric
properties
eight
most
commonly
used
scales
are
reviewed
both
descriptively
meta-analytically.
Results
suggest
that
many
scales,
promising.
However,
some
features,
especially
test-retest
reliability
invariance,
evidence
rather
scarce.
Most
striking,
however,
fact
all
included
items
do
not
measure
loneliness.
Surprisingly,
(sub)scales,
this
was
even
case
about
half
items.
our
measures
foundation
research
work,
it
crucial
to
improve
way
being
measured.
BMC Public Health,
Journal Year:
2024,
Volume and Issue:
24(1)
Published: May 1, 2024
Abstract
Background
Even
prior
to
the
advent
of
COVID-19
pandemic,
there
was
ample
evidence
that
loneliness
and
social
isolation
negatively
impacted
physical
mental
health,
employability,
are
a
financial
burden
on
state.
In
response,
has
been
significant
policy-level
attention
tackling
loneliness.
The
objective
this
scoping
review
conduct
policy
landscape
analysis
across
52
countries
UN
European
country
groups.
Our
sought
highlight
commonalities
differences
between
different
national
approaches
manage
loneliness,
with
goal
provide
actionable
recommendations
for
consideration
policymakers
wishing
develop,
expand
or
existing
policies.
Methods
We
searched
governmental
websites
using
Google
search
engine
publicly
available
documents
related
isolation.
Seventy-eight
were
identified
in
total,
from
which
23
retained.
Exclusion
based
predetermined
criteria.
A
structured
content
approach
used
capture
key
information
documents.
Contextual
data
captured
configuration
matrix
common
unique
themes.
Results
could
show
most
policies
describe
as
phenomenon
addressed
varying
degrees
domains
such
social,
geographical,
economic
political.
Limited
found
regarding
funding
suggested
interventions.
synthesised
makers
focusing
use
language,
prioritisation
interventions,
revisiting
previous
campaigns,
sharing
best
practice
borders,
setting
out
vision,
evaluating
need
rapid
sustainable
scalability
Conclusions
study
provides
first
overview
landscape,
highlighting
increasing
major
public
health
societal
issue.
findings
suggest
can
sustain
momentum
strengthen
their
strategies
by
incorporating
rigorous,
evidence-based
intervention
evaluations
fostering
international
collaborations
knowledge
sharing.
believe
more
effectively
address
directing
funds
develop
implement
interventions
impact
individual,
community
society.
International Journal of Environmental Research and Public Health,
Journal Year:
2021,
Volume and Issue:
18(22), P. 12027 - 12027
Published: Nov. 16, 2021
Almost
all
measures
of
loneliness
have
been
developed
without
discussing
how
to
best
conceptualize
and
assess
the
severity
loneliness.
In
current
study,
we
adapted
four-item
UCLA,
so
that
it
continued
measure
frequency
loneliness,
but
also
assessed
intensity
duration,
providing
a
other
aspects
severity.
Using
data
from
participants
resident
in
UK
who
completed
BBC
Loneliness
Experiment
(N
=
36,767;
F
69.6%)
Latent
Class
Profile
Analyses,
identified
four
groups
people
scored
high
on
at
least
one
three
measures.
Duration
often
over
months
or
years
seemed
be
particularly
important
distinguishing
groups.
Further,
group
membership
was
predicted
by
demographic
psychological
variables.
We
discuss
findings
terms
implications
for
research
practice.
highlight
need
explore
these
profiles
longitudinally
investigate
predicts
later
mental
physical
health,
well-being.
Frontiers in Psychiatry,
Journal Year:
2025,
Volume and Issue:
16
Published: April 7, 2025
Introduction
Dementia
is
a
chronic
progressive
syndrome,
with
an
entire
loss
of
function
in
the
late
stages.
The
care
this
demanding
condition
primarily
provided
by
family
members,
who
often
suffer
from
burnout,
distress,
and
loneliness.
This
instrumental
study
aimed
to
examine
factor
structure,
reliability,
convergent
validity,
criterion
cutoff
scores
short
loneliness
measure:
Three-Item
version
University
California,
Los
Angeles,
Loneliness
Scale
(UCLALS3)
convenience
sample
dementia
caregivers
(N
=
571,
mean
age
53
±12
years,
81.6%
females).
Methods
Exploratory
confirmatory
analyses
were
used
structure
UCLALS3
while
receiver-operating
characteristic
(ROC)
curve,
including
caregiving
burden
emotional
distress
as
outcomes,
was
its
cutoff.
Results
One
accounted
for
79.0%
variance
UCLALS3;
it
perfectly
invariant
across
genders
but
variant
at
metric
level
countries.
scale
had
adequate
internal
consistency
(alpha
0.87),
high
item-total
correlations
(0.69
–
0.79),
reduced
alpha
if
item
deleted
(0.77
0.86),
strong
positive
psychological
(r
0.57
&
0.74,
p
values
0.01).
Percentile
ROC
curve
suggested
two
cutoffs
(≥6
≥6.5),
which
classified
59.3
59.4%
participants
having
higher
levels
loneliness—comparable
global
among
informal
caregivers.
Mann-Whitney
test
revealed
significantly
scoring
≥6.5
on
UCLALS3.
Conclusion
valid
scale;
may
flag
major
clinically
relevant
symptoms
caregivers,
highlighting
need
tailored
interventions
that
boost
caregivers’
individual
perception
social
relationships.
More
investigations
are
needed
confirm
invariance
Journal of Intelligence,
Journal Year:
2023,
Volume and Issue:
11(9), P. 175 - 175
Published: Sept. 1, 2023
Local
structural
equation
models
(LSEM)
are
that
study
model
parameters
as
a
function
of
moderator.
This
article
reviews
and
extends
LSEM
estimation
methods
discusses
the
implementation
in
R
package
sirt.
In
previous
studies,
was
fitted
sequence
separately
evaluated
each
value
moderator
variables.
this
article,
joint
approach
is
proposed
simultaneous
method
across
all
values
also
allows
some
to
be
invariant
with
respect
Moreover,
sufficient
details
on
main
functions
sirt
provided.
The
practical
demonstrated
using
illustrative
datasets
an
empirical
example.
two
simulation
studies
investigate
statistical
properties
parameter
significance
testing
LSEM.
Psychological Medicine,
Journal Year:
2024,
Volume and Issue:
54(14), P. 3821 - 3827
Published: Oct. 1, 2024
Abstract
Background
Despite
the
growing
interest
in
prevalence
and
consequences
of
loneliness,
way
it
is
measured
still
raises
a
number
questions.
In
particular,
few
studies
have
directly
compared
psychometric
properties
very
short
measures
loneliness
to
standard
measures.
Methods
We
conducted
large
epidemiological
study
midwife
students
(
n
=
1742)
performed
head-to-head
comparison
(20
items)
version
(3
UCLA
Loneliness
Scales
(UCLA-LS).
All
participants
completed
UCLA-LS-20,
UCLA-LS-3,
as
well
other
mental
health,
including
anxiety
depression.
Results
First,
predicted,
we
found
that
two
scales
were
strongly
associated
with
each
other.
Second,
when
using
dimensional
scores
scales,
showed
internal
reliability,
convergent-,
discriminant-,
known-groups
validities
high
similar
magnitude
between
UCLA-LS-20
UCLA-LS-3.
Third,
dichotomized,
results
more
mixed.
The
sensitivity
and/or
specificity
UCLA-LS-3
against
systematically
below
acceptable
thresholds,
regardless
dichotomizing
process
used.
addition,
was
strikingly
variable
function
cut-offs
Conclusions
Overall,
provided
an
adequate
measure
UCLA-LS-20.
On
hand,
able
highlight
marked
differences
their
which
has
important
for
estimating,
example,
loneliness.
Health Promotion International,
Journal Year:
2023,
Volume and Issue:
38(4)
Published: Aug. 1, 2023
Extensive
qualitative
evidence,
but
limited
quantitative
indicates
that
mutual
aid
organizations
such
as
Men's
Sheds
have
positive
impacts
on
wellbeing,
health-related
quality
of
life,
and
loneliness.
A
recently
developed
theoretical
model
proposes
may
these
via
mediating
factors
broadening
social
networks,
increasing
behavioural
activation
physical
activity,
reducing
alcohol
use,
providing
meaning
in
life.
The
aim
this
study
was
to
quantitatively
test
a
whereby
psychological
safety
(feeling
safe,
accepted,
valued)
is
associated
with
Shed
engagement
(frequency
attendance,
duration
membership,
diversity
activities),
which
the
hypothesized
mediators,
which,
turn,
are
members
(N
=
333,
Mage
70.90
years,
SD
10.34,
98%
male)
completed
survey
assessing
model.
path
provided
an
excellent
fit
data.
Findings
indicated
higher
engagement,
larger
networks
more
were
wellbeing
lower
Higher
less
use
also
wellbeing.
not
or
directly
Implications
for
optimizing
health
outcomes
within
discussed.
Journal of Sleep Research,
Journal Year:
2022,
Volume and Issue:
32(3)
Published: Nov. 9, 2022
Summary
Affective
touch
has
been
reported
for
its
calming
effects;
however,
it
is
less
clear
whether
associated
with
sleep.
Here,
the
relationship
between
different
variables
and
self‐reported
sleep
indicators
was
investigated.
Data
were
extracted
from
Touch
Test,
a
cross‐sectional
survey
conducted
in
2020.
sample
of
15,049
healthy
adults
UK
(mean
age
=
56.13,
SD
13.8;
75.4%
female)
analysed.
Participants
asked
to
attribute
positive,
negative,
or
no
effects
on
hugs,
strokes,
massages,
intimate
touch,
onset
without
touch.
The
time
since
last
intentional
amount
satisfaction,
childhood
bed
routine
hugs
kisses
assessed.
Sleep
quality,
duration,
latency,
wake
after
diurnal
preference
measured.
analysed
using
chi‐square
tests
logistic
regressions.
before
perceived
have
positive
recency
emerged
as
significant
predictor
some
variables,
longer
timespan
relating
improved
shorter
fewer
instances
waking
up
participants.
Experiencing
too
much
related
lower
quality
higher
onset.
These
findings
highlight
importance
interpersonal
subjective
quality.