Abstract
Introduction
Based
on
the
Chinese
Longitudinal
Healthy
Longevity
Survey
(CLHLS),
this
study
aimed
to
examine
prevalence
and
correlates
of
depression,
its
network
structure
association
with
quality
life
(QOL)
in
older
adults
hypertension.
Methods
Depression
QOL
were
measured
using
10‐item
Center
for
Epidemiologic
Studies
Short
Scale
(CESD‐10)
World
Health
Organization
Quality
Life‐brief
version,
respectively.
Univariable
multivariable
analyses
performed.
Network
analysis
was
used
explore
interconnections
between
depressive
symptoms.
The
flow
function
identify
symptoms
that
directly
associated
QOL.
Results
A
total
5032
hypertension
included.
depression
(CESD‐10
score
≥
10)
28.3%
(95%
confidence
interval:
27.08%–29.59%),
which
significantly
poor
(
P
<
0.001).
Participants
who
male
0.001),
resided
urban
areas
=
0.006),
lived
their
family
had
perceived
fair
or
good
economic
status
higher
level
instrumental
activities
daily
living
0.001)
lower
risk
depression.
In
model
CESD3
‘Feeling
blue/depressed’,
CESD4
‘Everything
an
effort’
CESD8
‘Loneliness’
most
central
CESD10
‘Sleep
disturbances’
highest
negative
QOL,
followed
by
CESD5
‘Hopelessness’,
CESD7
‘Lack
happiness’.
Conclusion
common
among
To
prevent
reduce
impact
population,
appropriate
interventions
should
target
both
Frontiers in Public Health,
Год журнала:
2024,
Номер
12
Опубликована: Март 18, 2024
Background
Hypertension
is
one
of
the
most
prevalent
chronic
diseases
among
older
adult
population
in
China
and
adults
with
hypertension
are
more
susceptible
to
mental
health
problems.
This
study
aimed
explore
network
structure
depression
anxiety,
their
association
life
satisfaction
(LS)
hypertension.
Methods
A
total
4,993
hypertensive
individuals
aged
60
above
were
selected
from
Chinese
Longitudinal
Healthy
Longevity
Survey
(CLHLS
2017–2018).
The
design
CLHLS
was
approved
by
Campus
Institutional
Review
Board
Duke
University
(Pro00062871)
Biomedical
Ethics
Committee
Peking
(IRB00001052-13,074).
Center
for
Epidemiologic
Studies
Depression
Scale-10
(CESD-10)
Generalized
Anxiety
Disorder
Scale-7
(GAD-7)
used
assess
depressive
anxiety
symptoms.
Central
bridge
symptoms
identified
via
“Expected
Influence”
“Bridge
Expected
Influence”,
respectively.
Network
stability
assessed
using
case-dropping
bootstrap
technique.
Results
analysis
CESD3
(Feeling
blue/depressed),
GAD4
(Trouble
relaxing),
GAD2
(Uncontrollable
worry)
as
influential
central
anxiety.
Concurrently,
GAD1
(Nervousness
or
anxiety),
CESD10
(Sleep
disturbances),
CESD1
bothered)
stand
critical
between
disorders.
Moreover,
CESD7
(Lack
happiness)
exhibited
strongest
negative
correlation
LS
adults.
Conclusion
exploratory
represents
first
investigation
examine
mutual
relationship
Interventions
addressing
targeting
have
potential
alleviate
Furthermore,
improving
happiness,
hope,
sleep
quality
this
may
mitigate
adverse
effects
on
LS.
Abstract
Background
In
China,
about
18.70%
of
the
population
aged
60
years
and
older
are
at
risk
low
personal
mastery
as
well
anxiety
depression
for
a
variety
reasons.
The
purpose
this
study
was
to
construct
symptom
network
model
relationship
between
anxiety,
depression,
in
community-dwelling
adults
identify
central
bridge
symptoms
network.
Methods
Depression,
were
measured
using
Patient
Health
Questionnaire-9
(PHQ-9),
Generalized
Anxiety
Disorder
Scale
(GAD-7),
Personal
Mastery
(PMS),
respectively.
A
total
501
16
communities
Changzhou
Zhenjiang,
Jiangsu
Province,
surveyed
by
combination
stratified
sampling
convenience
methods.
R
language
used
Results
(1)
structure
anxiety–depression–personal
stable,
with
“Nervousness”
(node
GAD1,
strength
=
1.38),
“Sad
mood”
PHQ2,
1.22),
"
Inability
change”
PMS2,
1.01)
“Involuntarily”
PMS3,
0.95)
symptoms.
(2)
“Irritability”
GAD6,
0.743),
0.655),
“Trouble
relaxing”
GAD4,
0.550)
connecting
depressive
symptoms,
mastery.
(3)
comparison
test
(NCT),
residence,
somatic
chronic
comorbidity
gender
had
no
significant
effect
on
structure.
Conclusions
construction
opens
up
new
possibilities
mechanisms
action
intervention
formulation
psychological
disorders
adults.
identification
(e.g.,
nervousness,
sad
mood,
inability
change,
involuntarily)
irritability,
trouble
relaxing)
sense
can
provide
scientific
basis
development
precise
interventions.
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
Frontiers in Public Health,
Год журнала:
2023,
Номер
11
Опубликована: Окт. 31, 2023
Background
The
prevalence
of
family
dysfunction,
anxiety
and
depression
is
high
in
people
with
disabilities
due
to
long-term
activity
constraints
social
difficulties.
Recently,
although
studies
have
attempted
provide
guidance
for
therapy
by
focusing
on
the
relationship
between
function
negative
emotions,
specific
effects
improved
during
alleviation
depressive
symptoms
been
obscured.
Thus,
this
study
elucidate
impact
functioning
through
network
analysis.
Methods
Family
APGAR
Index
Questionnaire
(APGAR),
Generalized
Anxiety
Scale
(GAD-7),
Patient
Health
Depression
(PHQ-9)
were
used
survey
897
adults
Sichuan
Province.
Meanwhile,
analysis
studying
anxiety,
among
disabled
via
R
software.
Results
showed
that
(1)
Nodes
PHQ4
(“Energy”),
APGAR3
(“Growth”),
GAD1
(“Nervousness”)
GAD4
(“Relaxing
Trouble”)
central
nodes
model;
(2)
Bridge
linking
function,
sample
PHQ9
(“Suicide
ideation”),
PHQ6
(“Worthlessness”),
GAD5
(“Restlessness”);
(3)
node
APGAR5
(“Resolve”)
directly
connects
bridge
ideation”)
PHQ8
(“Motor”).
Conclusion
This
suggests
therapists
could
target
resolve
members
reduce
suicidal
ideation
enhance
level
disabilities,
thereby
improving
alleviating
emotions
disabilities.
Abstract
Background
This
study
aimed
to
investigate
the
interplay
between
anxiety
and
depressive
symptoms
in
Chinese
college
freshmen
using
causal
system
perspective
(CSP),
which
differs
from
traditional
common
cause
(CCP)
by
providing
an
alternative
explanation
attributing
comorbidity
direct
interactions
among
symptoms.
Methods
A
convenience
sample
of
2,082
(39.51%
male,
M
age
=
18.61)
a
normal
university
completed
Generalized
Anxiety
Disorder
7-Item
Scale
(GAD-7)
Patient
Health
Questionnaire
(PHQ-9).
Network
analysis
was
conducted
evaluated
as
centrality,
stability,
node
predictability,
bridging
features.
Moreover,
moderated
network
model
(MNM)
utilized
detect
moderation
effects
gender
network.
Results
The
exhibited
characterized
core
“restlessness”,
“lack
energy”,
“excessive
worry
about
control”,
well
“fearfulness”,
“sad
mood”,
“irritability”.
Notably,
nodes
representing
“uncontrollable
worry”
“difficulty
relaxation”
demonstrated
highest
predictive
power.
Gender
did
not
exert
any
moderating
on
symptom
Conclusion
These
results
reinforce
that
certain
or
are
more
central
than
others,
thus
play
vital
role
comorbid
findings
highlight
underlying
potential
targeting
consider
future
interventions.
Journal of Affective Disorders,
Год журнала:
2024,
Номер
354, С. 679 - 687
Опубликована: Март 23, 2024
Suboptimal
health
status
is
a
global
public
concern
of
worldwide
academic
interest,
which
an
intermediate
between
and
illness.
The
purpose
the
survey
to
investigate
relationship
anxiety
statuses
suboptimal
identify
central
symptoms
bridge
symptoms.
Frontiers in Psychiatry,
Год журнала:
2024,
Номер
15
Опубликована: Июль 15, 2024
Anxiety,
depression,
and
sleep
problems
are
prevalent
comorbid
mental
disorders
among
university
students.
The
World
Health
Organization
(WHO)
emphasized
a
health
promotion
objective,
recommending
the
consideration
of
protective
health-promoting
factors
in
strategies
aimed
at
preventing
disorders.
Integrating
theoretically
significant
constructs
(such
as
factors)
enhances
our
comprehension
intricate
mechanisms
that
underpin
This
study
employed
network
analysis
to
first
identify
core
bridge
symptoms
within
then
explore
how
lifestyles
(HPLs)
were
associated
with
these
ultimate
goal
is
offer
recommendations
enhance
students'
quality
life.
Journal of Geriatric Psychiatry and Neurology,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 7, 2025
Within
the
global
population,
depression
and
anxiety
are
common
among
older
adults.
Tai
Chi
is
believed
to
have
a
positive
impact
on
these
disturbances.
This
study
examined
network
structures
of
practitioners
vs
non-practitioners.
Propensity
score
matching
(PSM)
was
used
construct
non-practitioner
group
based
Chinese
Longitudinal
Healthy
Longevity
Survey
(CLHLS)
data.
346
1019
non-practitioners
were
included.
The
prevalence
severity
rates
significantly
lower
compared
though
there
no
difference
for
anxiety.
Network
analysis
showed
that,
practitioners,
“Felt
sadness”,
“Uncontrollable
worrying”
“Trouble
relaxing”
most
central
symptoms.
In
contrast,
non-practitioners,
symptoms
worrying”,
“Nervousness”.
Key
bridge
linking
depressive
“Worry
too
much”,
“Bothered
by
things”
in
“Nervousness”,
nervous/fearful”
“Sleep
quality”
underscored
how
practising
associated
with
reduced
overall
different
interactions
Central
differed
between
