Public Health Weekly Report,
Journal Year:
2022,
Volume and Issue:
15(35), P. 2474 - 2481
Published: Sept. 1, 2022
전
세계적으로
40대
이전에
발병하는
2형
당뇨병(이하
젊은
당뇨병)의
발생률과
유병률이
증가하고
있다.젊은
당뇨병
환자들
은
늦은
나이에
당뇨병이나
1형
환자들에
비해
이른
미세혈관
합병증과
대혈관
합병증이
발생하고
조기
사
망의
위험이
증가한다.젊은
환자들은
인슐린
저항성과
함께
췌장의
베타세포
기능이
빠르게
악화되는
것이
특징이다.
Diabetes & Metabolism Journal,
Journal Year:
2025,
Volume and Issue:
49(1), P. 24 - 33
Published: Jan. 1, 2025
This
study
aimed
to
investigate
the
prevalence,
management,
and
comorbidities
of
diabetes
mellitus
among
Korean
adults.
Data
from
Korea
National
Health
Nutrition
Examination
Survey
(2019-2022)
were
analyzed
assess
treatment,
risk
factors,
diabetes.
Comparisons
between
young
older
adults
with
emphasized.
Among
aged
≥30
years,
prevalence
is
15.5%
during
2021-2022.
Of
these,
74.7%
aware
their
condition,
70.9%
received
antidiabetic
only
32.4%
achieved
glycosylated
hemoglobin
(HbA1c)
<6.5%.
Moreover,
15.9%
met
integrated
management
targets,
which
included
HbA1c
<6.5%,
blood
pressure
<140/85
mm
Hg,
low-density
lipoprotein
cholesterol
<100
mg/dL.
In
19
39
was
2.2%.
them,
43.3%
34.6%
29.6%
Obesity
affected
87.1%,
26.9%
had
both
hypertension
hypercholesterolemia.
≥65
29.3%,
awareness,
control
rates
78.8%,
75.7%,
31.2%,
respectively.
Integrated
targets
(HbA1c
<7.5%,
hypertension,
lipids)
by
40.1%.
Diabetes
remains
highly
prevalent
adults,
significant
gaps
in
glycemic,
pressure,
lipid
control.
Older
show
higher
awareness
treatment
but
limited
outcomes.
Young
bear
a
burden
obesity
comorbidities,
alongside
low
rates.
Therefore,
early
intervention
programs,
education,
strategies
tailored
younger
populations
are
urgently
required.
JMIR Public Health and Surveillance,
Journal Year:
2024,
Volume and Issue:
10, P. e59571 - e59571
Published: Aug. 27, 2024
Background
Type
2
diabetes
poses
an
increasing
disease
burden
in
South
Korea.
The
development
and
management
of
type
are
closely
related
to
lifestyle
socioeconomic
factors,
which
have
undergone
substantial
changes
over
the
past
few
decades,
including
during
COVID-19
pandemic.
Objective
This
study
aimed
investigate
long-term
trends
prevalence,
awareness,
treatment,
control.
It
also
determine
whether
there
were
alterations
pandemic
these
more
pronounced
within
specific
demographic
groups.
Methods
examined
control
a
representative
sample
139,786
Koreans
aged
>30
years,
using
data
from
National
Health
Nutrition
Examination
Survey
covering
period
1998
2022.
Weighted
linear
regression
binary
logistic
performed
calculate
weighted
β
coefficients
or
odds
ratios.
Stratified
analyses
based
on
sex,
age,
region
residence,
obesity
status,
educational
background,
household
income,
smoking
status.
(difference)
was
calculated
analyze
trend
difference
between
prepandemic
To
identify
groups
susceptible
diabetes,
we
estimated
interaction
terms
for
each
factor
Results
From
2022,
consistent
increase
prevalence
observed
among
Koreans,
with
notable
rise
15.61%
(95%
CI
14.83-16.38)
Awareness
followed
U-shaped
curve,
bottoming
out
at
64.37%
61.79-66.96)
2013
2015
before
72.56%
70.39-74.72)
Treatment
increased
time,
peaking
68.33%
65.95-70.71)
Control
participants
showed
no
change,
maintaining
rate
29.14%
26.82-31.47)
2020
while
treated
improved
30.68%
27.88-33.48).
During
pandemic,
steepening
curves
awareness
treatment.
However,
slope
being
increased,
change
Older
populations
individuals
lower
level
exhibited
less
improvement
than
younger
educated
individuals.
People
income
experienced
deceleration
Conclusions
Over
recent
decade,
has
been
steeper
observed.
heterogeneous
across
different
population
groups,
underscoring
need
targeted
interventions
address
disparities
improve
populations.
Diabetes & Metabolism Journal,
Journal Year:
2024,
Volume and Issue:
48(4), P. 518 - 530
Published: July 29, 2024
Diagnosing
the
current
health
status
and
disease
burden
in
a
population
is
crucial
for
public
interventions.
The
ability
to
compare
of
different
diseases
through
single
measure,
such
as
disability-adjusted
life
years
has
become
feasible
continues
be
produced
updated
Global
Burden
Diseases
(GBD)
study.
However,
values
GBD
study
do
not
accurately
reflect
unique
situation
specific
country
with
various
circumstances.
In
response,
Korean
National
Disease
(KNBD)
was
conducted
estimate
Koreans
by
considering
Korea’s
cultural
context
utilizing
available
data
sources
at
national
level.
Both
studies
identified
non-communicable
diseases,
diabetes
mellitus
(DM),
primary
cause
among
Koreans.
extent
interventions
currently
being
central
local
governments
does
align
severity
burden.
This
review
suggests
that
despite
high
DM
South
Korea,
policies
may
fully
address
its
impact,
underscoring
need
expanded
chronic
management
programs
shift
towards
prevention-focused
healthcare
paradigms.
Diabetes & Metabolism Journal,
Journal Year:
2025,
Volume and Issue:
49(2), P. 172 - 182
Published: March 1, 2025
Background:
This
study
aimed
to
examine
trends
in
the
prevalence,
incidence,
metabolic
characteristics,
and
management
of
type
2
diabetes
mellitus
(T2DM)
among
young
adults
South
Korea.Methods:
Young
with
T2DM
were
defined
as
individuals
aged
19
39
years
who
met
diagnostic
criteria
for
T2DM.
Data
from
Korean
National
Health
Insurance
Service-Customized
Database
(2010–2020,
<i>n</i>=225,497–372,726)
analyzed
evaluate
profiles,
comorbidities,
antidiabetic
drug
prescription.
Additional
analyses
performed
using
Korea
Nutrition
Examination
Survey.Results:
The
prevalence
significantly
increased
1.02%
2010
2.02%
2020
(<i>P</i><0.001),
corresponding
372,726
patients
2020.
Over
same
period,
incidence
rate
remained
stable
within
range
0.36%
0.45%.
Prediabetes
steadily
15.53%
20.92%,
affecting
3.87
million
proportion
obese
also
increased,
67.8%
having
a
body
mass
index
(BMI)
≥25
kg/m²
31.6%
BMI
≥30
hypertension,
dyslipidemia,
fatty
liver
disease
reaching
34.2%,
79.8%,
78.9%,
respectively,
Although
overall
pharmacological
treatment
low,
prescription
medications
weight-reducing
properties
over
period.Conclusion:
nearly
doubled
past
decade.
strong
association
obesity
comorbidities
emphasizes
urgent
need
targeted
prevention
strategies
tailored
this
population.
Endocrinology and Metabolism,
Journal Year:
2024,
Volume and Issue:
39(2), P. 239 - 254
Published: April 16, 2024
Precision
diagnosis
is
the
keystone
of
clinical
medicine.
In
East
Asians,
classical
type
1
diabetes
uncommon
in
patients
with
youngonset
diagnosed
before
age
40,
whom
a
family
history,
obesity,
and
beta-cell
kidney
dysfunction
are
key
features.
Young-onset
affects
one
five
Asian
adults
clinic
settings;
however,
it
often
misclassified,
resulting
delayed
or
non-targeted
treatment.
Complex
aetiologies,
long
disease
duration,
aggressive
course,
lack
evidence-based
guidelines
have
contributed
to
variable
care
standards
premature
death
these
young
patients.
The
high
burden
comorbidities,
notably
mental
illness,
highlights
numerous
knowledge
gaps
related
this
silent
killer.
majority
adult
managed
as
part
heterogeneous
population
various
ages
diagnosis.
A
multidisciplinary
team
led
by
physicians
special
interest
young-onset
will
help
improve
precision
address
their
physical,
mental,
behavioral
health.
To
end,
payors,
planners,
providers
need
align
re-design
practice
environment
gather
data
systematically
during
routine
elucidate
multicausality
diabetes,
treat
multiple
targets,
outcomes
vulnerable
individuals.
Journal of Clinical Medicine,
Journal Year:
2025,
Volume and Issue:
14(6), P. 2065 - 2065
Published: March 18, 2025
Background/Objectives:
Diabetic
kidney
disease
(DKD)
is
a
major
cause
of
end-stage
and
leading
contributor
to
morbidity
mortality
in
patients
with
type
2
diabetes
mellitus
(T2DM).
However,
predictive
models
for
DKD
onset
Korean
T2DM
remain
underexplored.
This
study
aimed
develop
validate
machine
learning
(ML)-based
prediction
model
this
population.
Methods:
retrospective
utilized
electronic
health
records
from
six
secondary
or
tertiary
hospitals
Korea.
The
Jeonbuk
National
University
Hospital
cohort
was
used
development
(ratio
training:
test
data,
8:2),
whereas
datasets
five
other
supported
external
validation.
We
employed
multiple
ML
algorithms,
including
lasso,
ridge,
elastic
net
regression;
random
forest;
XGBoost;
support
vector
machines;
neural
networks.
incorporated
demographic
variables,
comorbidities,
medications,
laboratory
results.
Results:
Among
5120
T2DM,
1361
(26.6%)
developed
DKD.
In
the
cohort,
XGBoost
achieved
highest
performance
(AUC:
0.8099),
followed
by
forest
logistic
regression
(AUCs:
0.7977–0.8019).
External
validation
confirmed
model’s
robustness
high
AUCs
(XGBoost:
0.8113,
models:
0.8228–0.8271).
Key
factors
included
age;
baseline
estimated
glomerular
filtration
rate;
creatinine,
hemoglobin,
hemoglobin
A1c
levels.
Conclusions:
Our
findings
highlight
potential
ML-based
approaches
predicting
T2DM.
superior
underscores
their
clinical
utility.
supports
generalizability.
valuable
tool
early
risk
assessment
Diabetes & Metabolism Journal,
Journal Year:
2022,
Volume and Issue:
46(6), P. 819 - 826
Published: Nov. 24, 2022
Diabetes
screening
serves
to
identify
individuals
at
high-risk
for
diabetes
who
have
not
yet
developed
symptoms
and
diagnose
an
early
stage.
Globally,
the
prevalence
of
is
rapidly
increasing.
Furthermore,
obesity
and/or
abdominal
obesity,
which
are
major
risk
factors
type
2
mellitus
(T2DM),
progressively
increasing,
particularly
among
young
adults.
Many
patients
with
T2DM
asymptomatic
can
accompany
various
complications
time
diagnosis,
as
well
chronic
develop
duration
increases.
Thus,
proper
diagnosis
essential
care.
Based
on
reports
changing
epidemiology
in
Korea,
growing
evidence
from
new
national
cohort
studies
screening,
Korean
Association
has
updated
its
clinical
practice
recommendations
regarding
screening.
now
recommended
adults
aged
≥35
years
regardless
presence
factors,
all
(aged
≥19)
any
factors.
Abdominal
based
waist
circumference
(men
≥90
cm,
women
≥85
cm)
was
added
list