Association between depression and the prevalence and prognosis of prediabetes: Data from National Health and Nutrition Examination Survey (NHANES) 2013–2018
PLoS ONE,
Год журнала:
2025,
Номер
20(1), С. e0304303 - e0304303
Опубликована: Янв. 13, 2025
Diagnosis
and
intervention
of
prediabetes
is
an
emerging
approach
to
preventing
the
progression
complications
diabetes.
Inflammatory
factors
dysregulation
hypothalamic-pituitary-adrenal
(HPA)
axis
have
been
suggested
as
potential
mechanisms
underlying
pathogenesis
both
diabetes
depression.
However,
relationship
between
depression
levels
prevalence
its
prognosis
remains
elusive.
This
study
aimed
explore
further
all-cause
mortality
different
in
patients
with
prediabetes.
Our
used
a
data
set
from
National
Health
Nutrition
Examination
Survey
(NHANES).
Participants
were
initially
divided
into
two
groups
(depression
vs.
non-depression)
stratified
by
severity
levels.
We
weighted
multiple
logistic
regression
model
analyze
association
Cox
assess
prediabetic
patients.
A
total
4384
participants
included,
group
(n
=
1379)
non-depression
3005).
Results
showed
that
people
at
higher
risk
developing
After
adjusting
for
covariates,
moderate
severe
was
positively
associated
(moderate
vs
no
depression:
OR
1.834,
95%CI:
0.713-4.721;
1.004,
95%
CI
0.429-2.351).
In
addition,
we
explored
depressive
status
diagnosed
2240)
found
(HR
2.109,
95%CI
0.952-4.670)
Overall,
findings
consistently
suggest
among
individuals
suggests
may
be
new
valuable
indicator
risk.
Early
treatment
improves
outcomes
Язык: Английский
Predictive factors and risk model for depression in patients with type 2 diabetes mellitus: a comprehensive analysis of comorbidities and clinical indicators
Frontiers in Endocrinology,
Год журнала:
2025,
Номер
16
Опубликована: Март 5, 2025
Depression
is
highly
prevalent
among
individuals
with
type
2
diabetes
mellitus
(T2DM),
often
compounded
by
multiple
chronic
conditions.
This
study
aimed
to
identify
the
key
factors
influencing
depression
in
this
population,
a
particular
focus
on
relationship
between
Cumulative
Illness
Rating
Scale
(CIRS)
score
and
depression,
evaluate
predictive
value
of
model
incorporating
sex,
body
mass
index
(BMI),
low-density
lipoprotein
cholesterol
(LDL-C),
CIRS
score.
A
total
308
hospitalized
patients
from
Quzhou
Hospital,
Wenzhou
Medical
University
were
enrolled.
Their
clinical
biochemical
data
collected,
alongside
assessments
comorbidities
depressive
symptoms
using
Self-Rating
(SDS),
respectively.
LASSO
regression
10-fold
cross-validation
was
used
optimal
variables
for
model.
Multivariate
analysis
performed
assess
independent
associations
BMI,
LDL-C,
depression.
The
scores
further
explored
across
various
subgroups.
model's
assessed
through
ROC
curve
analysis.
Female
sex
(OR:
2.48,
95%
CI:
1.50-4.10,
p
<
0.001),
lower
BMI
0.92,
0.86-0.98,
=
0.015),
LDL-C
0.77,
0.61-0.98,
0.031),
higher
1.11,
1.05-1.18,
0.001)
independently
linked
after
adjusting
variables.
strong
association
observed,
particularly
males,
under
60
years
old,
those
disease
duration
less
than
5
years,
no
history
smoking
or
alcohol
consumption.
Additionally,
demonstrated
high
accuracy
identifying
at
risk
Female,
associated
diabetes.
appeared
be
more
effective
predicting
people
who
male,
younger,
shorter
DM
duration,
drinking.
comprehensive
prediction
could
help
clinicians
are
Язык: Английский
Application of the path analysis model to evaluate the role of distress, mental health literacy and burnout in predicting self-care behaviors among patients with type 2 diabetes
Diabetology & Metabolic Syndrome,
Год журнала:
2024,
Номер
16(1)
Опубликована: Июнь 23, 2024
Mental
complications
of
diabetes
are
one
the
main
obstacles
to
implementation
self
-care
behaviors
that
have
been
less
studied.
Therefore,
this
study
was
conducted
survey
effective
factors
in
predicting
burnout
and
self-care
among
patients
with
type
2
diabetes.
Язык: Английский
The value of anxiety and depression in predicting physical function and major adverse cardiovascular events in patients with acute coronary syndrome
Journal of Thoracic Disease,
Год журнала:
2024,
Номер
16(10), С. 6849 - 6862
Опубликована: Окт. 1, 2024
Psychological
distress,
including
anxiety
and
depression,
is
not
only
prevalent
in
patients
with
coronary
heart
disease
(CHD)
but
can
actually
predict
adverse
clinical
events.
Therefore,
the
necessity
of
addressing
psychological
problems
among
CHD
to
improve
their
treatment
results
increasingly
acknowledged.
This
study's
objective
was
examine
prognostic
impact
depression
on
major
cardiovascular
events
(MACEs)
physical
function
acute
syndrome
(ACS).
Язык: Английский