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
World Journal of Psychiatry,
Год журнала:
2025,
Номер
15(3)
Опубликована: Фев. 26, 2025
Depression
and
anxiety
are
prevalent
psychological
challenges
among
patients
with
adolescent
idiopathic
scoliosis
(AIS),
affecting
individuals
across
both
sex
age
groups.
To
explore
the
network
structure
of
depression
symptoms,
a
focus
on
identifying
differences
at
symptom
level
between
subgroups.
A
total
1955
participants
diagnosed
AIS
aged
10-18
years
were
assessed
using
Patient
Health
Questionnaire
Scale
(PHO-9)
Generalized
Anxiety
Disorder
(GAD-7),
765
exhibiting
PHQ-9
or
GAD-7
scores
≥
5
enrolled
in
our
study.
Network
analysis
comparison
tests
utilized
to
construct
compare
depression-anxiety
symptoms
networks
The
results
revealed
GAD3
"Excessive
worry"
PHQ2
"Sad
mood"
most
significant
central
all
subgroups,
while
had
higher
strength
than
lower
group.
In
comparisons,
female
exhibited
tighter
connectivity,
especially
GAD6
"Irritability"
GAD2
"Uncontrollable
worry",
only
PHQ3
"Sleep"
PHQ9
"Suicidal
ideation"
local
Several
interventions
targeting
excessive
worry
sad
mood
could
reduce
risk
population.
Furthermore,
specific
females,
along
sleep
disturbances
suicidal
ideation
group,
should
be
addressed
an
early
stage
prevent
disruptions
mental
health
trajectories.
Frontiers in Nutrition,
Год журнала:
2025,
Номер
12
Опубликована: Март 3, 2025
Introduction
Anxiety
is
highly
prevalent
among
older
adults,
and
dietary
interventions
targeting
nutrition
may
offer
effective,
practical
strategies
for
preventing
mental
disorders.
This
study
aimed
to
explore
the
association
between
cMIND
diet,
anti-inflammatory
diversity
(AIDD),
risk
of
anxiety
in
adults.
Methods
A
cross-sectional
analysis
was
conducted
using
data
from
2018
Chinese
Longitudinal
Healthy
Longevity
Survey
(CLHLS).
symptoms
were
assessed
Generalized
Disorder
(GAD-7)
scale,
while
adherence
diet
AIDD
evaluated
through
a
food
frequency
questionnaire.
Univariable
multivariable
logistic
regression
analyses
performed
examine
associations
patterns
risk,
with
odds
ratios
(ORs)
95%
confidence
intervals
(CIs)
reported.
Random
forest
used
identify
key
factors
influencing
anxiety,
sensitivity
test
robustness
results.
Results
total
13,815
participants
aged
65
included,
1,550
(11.2%)
identified
anxiety.
Multivariable
models
indicated
that
or
higher
associated
16–26%
reduced
adjusted
ORs
(95%
CIs)
ranging
0.75
(0.64–0.87)
(0.61–0.91),
0.74
(0.62–0.88)
0.84
(0.73–0.96).
Sensitivity
confirmed
stability
these
findings.
Depression
sleep
quality
as
most
important
contributing
one
few
modifiable
factors.
Conclusion
provides
evidence
supporting
highlighting
potential
promoting
healthy
targeted
nutritional
effective
improving
health
aging
population.
Frontiers in Psychiatry,
Год журнала:
2025,
Номер
16
Опубликована: Март 4, 2025
Background
This
study
employs
a
network
analysis
approach
to
explore
the
interconnections
between
anxiety,
depression,
and
sleep
problems
smartphone
addiction
among
college
students
using
analysis,
offering
new
perspective
on
these
prevalent
mental
health
issues.
Methods
A
cross-sectional
was
conducted
art
at
public
university
in
province
of
Fujian,
China.
Data
were
collected
Generalized
Anxiety
Disorder
Scale-7,
Patient
Health
Questionnaire-9,
Pittsburgh
Sleep
Quality
Index,
Mobile
Phone
Addiction
Index.
The
R
package
used
for
statistical
information
multi-stage
sampling
as
well
stratified
sampling.
Network
utilized
identify
bivariate
associations
symptoms,
core
components,
co-occurring
patterns,
key
nodes
within
network.
stability
accuracy
assessed
bootstrap
method,
comparisons
across
subgroups
based
gender,
residential
condition,
sibling
status.
Results
included
2,057
participants.
revealed
uncontrollable
worry
most
central
symptom,
with
low
energy
excessive
also
identified
symptoms
Bridge
such
daytime
dysfunction,
self-harm
or
suicidal
ideation,
abnormal
behavior
speech,
sensory
fear
found
be
critical
linking
problems.
comorbid
highlighted
inefficiency
loss
control
factors
influencing
health.
No
significant
differences
characteristics
subgroups,
suggesting
universality
structure.
Conclusion
delineates
intricate
problems,
students,
identifying
symptomatic
intersections
their
implications
Journal of Affective Disorders,
Год журнала:
2025,
Номер
379, С. 49 - 57
Опубликована: Март 5, 2025
Implementing
effective
interventions
for
specific
depressive
symptoms
is
of
vital
importance
to
reduce
the
disease
burden
depression.
Previous
studies
have
identified
links
between
various
dietary
patterns
and
depression
among
elderly
individuals.
However,
associations
food
consumption
remained
largely
unknown.
We
included
5171
individuals
living
in
rural
aged
above
65
from
Chinese
Longitudinal
Health
Longevity
Survey
(CLHLS
2017-2018).
used
10-item
short
form
Center
Epidemiologic
Studies
Depression
Scale
(CESD-10)
assess
selected
4
common
foods
intake.
Univariate
analysis
multifactorial
were
identify
influencing
factors
Network
was
central
bridge
network.
Finally,
network
stability
examined
by
a
case-dropping
bootstrap
procedure.
Regression
model
showed
vegetable
intake,
fish
egg
intake
associated
with
revealed
that
nodes
"Feeling
sad
or
depressed"
(A3)
nervous
fearful"
(A6)
"Vegetables
consumption"
(B2),
"Eggs
(B4),
"Sleep
quality"
(A10)
Recall
bias
introduced
self-report
questionnaire
use
cross-sectional
data.
Central
symptoms,
as
well
played
critical
role
Timely,
systematic,
multi-level
targeting
on
may
benefit
alleviating
elderly.
Depression
and
anxiety
were
not
only
common
but
also
with
serious
consequence
in
infertility
patients.
The
current
study
endeavors
to
define
distinct
depression
profiles
of
patients
identify
central
symptoms
within
different
facilitate
targeted
interventions.
research
employed
K-means
Clustering
delineate
the
profiles,
followed
by
a
repetition
analysis
using
Latent
Class
Analysis
(LCA).
Furthermore,
network
was
utilized
various
profiles.
K‑means
identified
Cluster
1
(16.15%),
2
(37.08%)
3
(46.77%),
while
LCA
yielded
low-risk
group
(47.23%),
mild-risk
(34.46%)
high-risk
(18.31%).
A
majority
three
clusters
predominantly
single
LCA-derived
patient
class
(88.38–100%).
Network
revealed
that
connections
each
symptom
PHQ-9
GAD-7
stronger
than
those
between
symptoms.
PHQ
("sad
mood"),
GAD
("nervousness")
("uncontrollable
worry")
as
("excessive
worry"),
5
("restlessness")
emerged
2)
Additionally,
4
("fatigue"),
6
("irritability")
3.
We
defined
among
pinpointed
profile.
These
findings
underscore
importance
directing
towards
profile
order
develop
intervention
strategies.
Frontiers in Public Health,
Год журнала:
2025,
Номер
13
Опубликована: Март 12, 2025
Background
Depression
and
anxiety
are
prevalent
mental
health
issues
among
older
adult
widowed
adults.
However,
the
symptom-level
relationships
between
these
conditions
remain
unclear.
Due
to
high
correlations
complex
various
symptoms,
this
study
employs
network
analysis
explore
differences
in
structures
of
depression
symptoms
non-widowed
Methods
Propensity
score
matching
was
used
identify
adults
with
similar
demographic
characteristics.
Data
from
1,736
matched
controls
were
analyzed
using
Chinese
Longitudinal
Healthy
Longevity
Survey
(2017–2018).
measured
by
Center
for
Epidemiologic
Studies
Scale-10
(CESD-10)
seven-item
Generalized
Anxiety
Disorder
Scale
(GAD-7),
respectively.
Central
bridge
evaluated
expected
influence
(EI)
(BEI),
Results
Network
revealed
similarities
central
adults,
both
groups
exhibiting
“Feeling
depressed
or
down”
(CESD3),
tense
having
difficulty
relaxing”
(GAD4),
“Being
unable
stop
control
worrying”
(GAD2)
as
core
symptoms.
emerged
In
group,
anxious,
worried,
distressed”
(GAD1)
most
strongly
connected
“Felt
lonely”
(CESD8);
“Worrying
too
much
about
things”
(GAD3)
linked
increasingly
exhausted
useless
age”
(CESD4);
(CESD3)
had
a
strong
association
“Becoming
easily
annoyed
irritable”
(GAD6).
exhibited
strongest
“Having
good
sleep
quality”
(CESD10);
“Getting
upset
over
small
matters”
(CESD1)
closely
(GAD1);
(CESD3).
Conclusion
Common
highlight
universal
intervention
targets.
Addressing
may
help
prevent
depression-anxiety
comorbidity.
These
findings
support
targeted
interventions
improve
outcomes.
Future
research
should
evaluate
tailored
effectiveness.
Patients
with
cardiovascular
disease
(CVD)
often
experience
anxiety
and
depression.
However,
the
central
bridge
symptoms
of
depression
among
patients
CVD
remain
unclear.
Network
analysis
is
a
statistical
method
that
can
reveal
visualise
complex
relationships
between
multiple
variables.
This
study
aimed
to
identify
in
anxiety-depression
network,
which
may
provide
potential
targets
for
preventing
intervening
A
total
1180
were
selected
from
Psychology
Behavior
Investigation
Chinese
Residents.
The
survey
was
conducted
July
10
September
15,
2021.
Face-to-face
electronic
questionnaires
distributed
respondents
by
investigators.
Generalized
Anxiety
Disorder
7
(GAD-7)
Patient
Health
Questionnaire-9
used
assess
depressive
CVD.
using
R4.02
network.
Among
included
this
study,
673
(57%)
male
507
(43%)
female.
More
than
half
(53.5%)
under
60
years
old.
mean
GAD-7
score
4.66
±
4.38,
169
(14.3%)
had
symptoms.
PHQ-9
6.29
5.29,
235
(19.9%)
Furthermore,
144
(12.2%)
people
both
In
network
symptoms,
"unable
sit
still
because
anxiety",
"feeling
afraid
something
terrible
about
happen",
bad
or
like
failure,
disappointing
oneself
family"
most
influential
We
also
found
happen"
"thoughts
dying
hurting
some
way"
pivotal
provides
new
insights
into
structure
These
identified
be
potentially
effective
CVD,
treatment
strategies
BMC Women s Health,
Год журнала:
2025,
Номер
25(1)
Опубликована: Март 22, 2025
Although
late-life
remarriage
is
not
a
rare
phenomenon,
it
remains
controversial
topic
in
China.
Late-life
involves
many
challenges
and
crises,
especially
for
elderly
women,
who
are
often
weaker
positions
relationships
face
more
difficulties.
Currently,
research
on
the
life
experiences
of
Chinese
women
after
still
limited.
The
purpose
this
study
to
explore
describe
remarried
later
their
feelings
about
these
experiences.
A
phenomenological
qualitative
design
involving
in-depth
semistructured
interviews
was
selected.
Data
analysis
performed
via
Colaizzi's
methodology.
Sixteen
participated
study.
Four
themes
8
subthemes
emerged:
(1)
companionship
support
attainment
(daily
economic
support),
(2)
nanny-like
treatment
(undertaking
most
household
chores
care
work
alone,
suspected
guarded
terms
money),
(3)
degradation
social
ties
(decreased
interaction
with
original
family,
reduced
contact
friends),
(4)
concerns
future
(treatment
costs
illness,
housing
issues
new
husband's
death).
Our
results
reveal
complexity
vulnerability
remarriage,
which
result
combination
sociocultural
structural
factors
reflect
pressure
injustice
that
endure
patriarchal
society.
Moreover,
reveals
inadequacy
basic
medical
insurance
pension
systems.
will
only
help
society
at
large
better
understand
stepfamilies
but
also
provide
numerous
important
recommendations
professionals
stepfamilies,
as
well
policymakers.