A network analysis of depression and anxiety symptoms among Chinese elderly living alone: based on the 2017–2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS)
BMC Psychiatry,
Год журнала:
2025,
Номер
25(1)
Опубликована: Янв. 8, 2025
Elderly
individuals
living
alone
represent
a
vulnerable
group
with
limited
family
support,
making
them
more
susceptible
to
mental
health
issues
such
as
depression
and
anxiety.
This
study
aims
construct
network
model
of
anxiety
symptoms
among
older
adults
alone,
exploring
the
correlations
centrality
different
symptoms.
The
goal
is
identify
core
bridging
inform
clinical
interventions.
Using
data
from
2018
Chinese
Longitudinal
Healthy
Longevity
Survey
(CLHLS),
this
constructed
elderly
alone.
Depression
were
assessed
using
Center
for
Epidemiologic
Studies
Scale-10
(CESD-10)
Generalized
Anxiety
Disorder
Scale-7
(GAD-7),
respectively.
A
Gaussian
Graphical
Model
(GGM)
was
employed
build
symptom
network,
Fruchterman-Reingold
algorithm
used
visualization,
thickness
color
edges
representing
partial
between
To
minimize
spurious
correlations,
Least
Absolute
Shrinkage
Selection
Operator
(LASSO)
method
applied
regularization,
optimal
regularization
parameters
selected
Extended
Bayesian
Information
Criterion
(EBIC).
We
further
calculated
Expected
Influence
(EI)
Bridge
(Bridge
EI)
evaluate
importance
Non-parametric
bootstrap
methods
assess
stability
accuracy
network.
Network
analysis
revealed
that
GAD2
(Uncontrollable
worry)
GAD4
(Trouble
relaxing)
exhibited
highest
strength
(1.128
1.102,
respectively),
indicating
their
significant
direct
associations
other
roles
nodes
in
Other
highly
central
nodes,
GAD1
(Nervousness
or
anxiety)
GAD3
(Generalized
worry),
underscore
dominance
overall
Betweenness
results
highlighted
critical
bridge
facilitating
information
flow
symptoms,
while
CESD3
(Feeling
depressed)
demonstrated
role
across
modules.
Weighted
analyses
confirmed
relaxing).
Additionally,
showed
gender
differences
depression-anxiety
networks
study,
through
analysis,
uncovered
complex
relationships
identifying
These
findings
provide
essential
insights
targeted
Future
research
should
explore
intervention
strategies
these
improve
Язык: Английский
Associations between traditional Chinese medicine constitution and depression/anxiety/sleep disturbances in patients with chronic pain: A cross-sectional study
Journal of Traditional Chinese Medical Sciences,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 1, 2025
Язык: Английский
Validation and psychometric properties of the Chinese version of the questionnaire for assessing the childbirth experience (QACE)
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Апрель 5, 2024
Abstract
Background:
The
aim
of
this
paper
was
to
translate
and
determine
the
psychometric
properties
questionnaire
for
assessing
childbirth
experience
(QACE)
among
Chinese
postpartum
women
(C-QACE).
Method:
cross-cultural
adaptation
process
followed
Beaton
(2000)
intercultural
debugging
guidelines.
A
total
235
were
included
test
C-QACE.
Participants
asked
complete
demographic
characteristics
form,
C-QACE,
Edinburgh
Postnatal
Depression
Scale
(EPDS),
Generalized
Anxiety
Disorder-7
(GAD-7).
testing
C-QACE
evaluate
through
item
analysis,
exploratory
factor
divergent
validity
internal
consistency
reliability.
Results:
Item
analysis
showed
that
critical
ratios
all
items
greater
than
3
,
item-total
correlation
coefficients
0.4.
finding
(EFA)
revealed
presence
four
components
with
eigenvalues
1,
explaining
a
variance
67.682%.
And
scree
plot
it
acceptable
retain
factors
(emotional
status,
relationship
staff,
first
moments
new
born,
feelings
at
one
month
postpartum).
In
terms
validity,
QACE
subscale
score
in
significant
positive
correlations
EPDS
GAD-7.
Regarding
reliability,
Cronbach’s
alpha
0.812,
subscales
ranging
0.611
0.844.
Conclusion:
version
is
relevant
tool
measuring
into
context
stability.
Язык: Английский