Journal of Diabetes Research,
Journal Year:
2019,
Volume and Issue:
2019, P. 1 - 8
Published: Feb. 18, 2019
Background
.
The
prevalence
of
prediabetes
has
been
increasing
significantly
in
recent
years.
Individuals
with
have
an
increased
risk
developing
diabetes
and
cardiovascular
diseases.
objectives
this
study
were
to
identify
factors
for
their
interactions
among
the
elderly
rural
communities
Hunan
Province
provide
a
scientific
basis
prevention.
Methods
A
case-control
was
conducted
explore
areas.
general
sociodemographic
information,
lifestyle
behaviours,
physiological
results
individuals
controls
collected
by
questionnaire
laboratory
testing.
Conditional
logistic
regression
performed
elderly,
additive
used
analyse
between
factors.
Results
total
425
subjects
included
case
group,
normal
plasma
glucose
levels
control
group.
main
family
history
(OR=2.48;
95%
CI:
1.13,
5.46),
physical
inactivity
id="M2">OR=3.27;
1.95,
5.49),
lack
health
literacy
on
prevention
id="M3">OR=3.26;
1.62,
6.55),
hypertension
id="M4">OR=2.01;
1.38,
2.93),
overweight
id="M5">OR=2.53;
1.67,
3.81),
obesity
id="M6">OR=3.08;
1.48,
6.40),
high
waist-to-hip
ratio
(WHR)
id="M7">OR=2.26;
1.45,
3.51).
Additive
detected
WHR
inactivity,
relative
excess
due
interaction
(RERI)
6.30
(95%
0.42,
12.18),
or
obesity,
RERI
2.92
0.56,
5.29).
Conclusion
independent
are
diabetes,
control,
hypertension,
WHR.
prediabetes.
These
findings
significant
implications
Journal of Diabetes Research,
Journal Year:
2018,
Volume and Issue:
2018, P. 1 - 12
Published: Jan. 1, 2018
Objectives
.
The
study
aims
at
determining
the
prevalence
of
prediabetes
and
diabetes
ascertaining
some
concomitant
risk
factors
among
males
in
Saudi
Arabia.
Methods
A
population-based
cross-sectional
including
381
adult
from
different
institutions
was
recruited.
Odds
ratios
for
were
calculated
using
log-binomial
multinomial
logistic
regression,
STATA
version
12.
Results
participants
included
diabetic
with
a
median
age
45
years,
average
body
mass
index
25
±
40
kg/m
2
,
whereas
waist
circumferences
ranged
66
to
180
cm
male
population.
In
addition,
27.82%
had
normal
BMI,
32.28%
overweight,
36.22%
obese.
Around
36%
higher
circumference,
that
is,
>102
cm.
Age,
marital
status,
educational
attainment
statistically
significant
predictors
diabetes.
Conclusion
This
found
9.2%
27.6%,
respectively,
Al-Kharj
increase
include
older
age,
obesity
being
married,
smoker,
having
civilian
job
less
education.
All
these
except
smoking
status
type.
order
evaluate
causal
relationship
factors,
prospective
studies
are
required
future.
PLoS ONE,
Journal Year:
2015,
Volume and Issue:
10(12), P. e0145781 - e0145781
Published: Dec. 29, 2015
Individuals
with
pre-diabetes
and
diabetes
have
increased
risks
of
developing
macro-vascular
complications
including
heart
disease
stroke;
which
are
the
leading
causes
death
globally.
The
objective
this
study
was
to
estimate
prevalence
diabetes,
investigate
their
predictors
among
adults
≥18
years
in
Florida.Data
covering
time
period
January-December
2013,
were
obtained
from
Florida's
Behavioral
Risk
Factor
Surveillance
System
(BRFSS).
Survey
design
declared
using
SVYSET
statement
STATA
13.1.
Descriptive
analyses
performed
diabetes.
Predictors
investigated
multinomial
logistic
regression
model.
Model
goodness-of-fit
evaluated
both
test
proposed
by
Fagerland,
Hosmer,
Bofin,
as
well
as,
Hosmer-Lemeshow's
goodness
fit
test.There
approximately
2,983
(7.3%)
5,189
(12.1%)
Florida
diagnosed
respectively.
Over
half
respondents
white,
married
over
age
45
while
36.4%
reported
being
physically
inactive,
overweight
(36.4%)
or
obese
(26.4%),
hypertensive
(34.6%),
hypercholesteremic
(40.3%),
26%
arthritic.
Based
on
final
multivariable
model,
only
(Relative
Ratio
[RRR]
=
1.85,
95%
Confidence
Interval
[95%
CI]
1.41,
2.42),
(RRR
3.41,
CI
2.61,
4.45),
1.69,
1.33,
2.15),
hypercholesterolemic
1.94,
1.55,
2.43),
arthritic
1.24,
1.00,
1.55)
had
significant
associations
pre-diabetes.
However,
more
strengths
tended
be
higher
than
for
association
For
instance,
relative
risk
ratios
between
2.00,
2.57),
4.04,
3.22,
5.07),
2.66,
2.08,
3.41),
1.98,
1.61,
2.45)
1.28,
1.04,
1.58)
all
further
away
null
Moreover,
a
number
variables
such
age,
income
level,
sex,
level
physical
activity
but
not
increasing
lower
income,
males,
inactivity.
Insufficient
no
pre-diabetes.There
is
evidence
differences
strength
across
levels
status
(pre-diabetes
diabetes)
Florida.
It
important
monitor
populations
at
high
so
help
guide
health
programming
decisions
resource
allocations
control
condition.
Journal of Clinical Medicine,
Journal Year:
2020,
Volume and Issue:
9(7), P. 2184 - 2184
Published: July 10, 2020
Due
to
a
global
increase
in
the
prevalence
of
type
2
diabetes
mellitus
(T2DM),
there
is
an
urgent
need
for
early
identification
prediabetes,
as
these
people
have
highest
risk
developing
diabetes.
Circulating
miRNAs
shown
potential
progression
biomarkers
other
diseases.
This
study
aimed
conduct
baseline
comparison
serum-circulating
prediabetic
individuals,
with
distinction
between
those
who
later
progressed
T2DM
and
did
not.
The
expression
levels
798
using
NanoString
technology
were
examined.
Spearman
correlation,
receiver
operating
characteristic
(ROC)
curve
analysis,
logistic
regression
modeling
performed.
Gene
ontology
(GO)
canonical
pathway
analysis
used
explore
biological
functions
miRNA
target
genes.
revealed
that
three
upregulated
serum
samples
patients
T2DM.
Pathway
showed
genes
mainly
significantly
enriched
neuronal
NO
synthase
(nNOS)
signaling
neurons,
amyloid
processing,
hepatic
cholestasis.
ROC
demonstrated
miR-491-5p,
miR-1307-3p,
miR-298
can
be
introduced
diagnostic
tool
prediction
(area
under
(AUC)
=
94.0%,
88.0%,
84.0%,
respectively).
Validation
by
real-time
quantitative
polymerase
chain
reaction
(qRT-PCR)
confirmed
our
findings.
results
suggest
circulating
potentially
predictive
patients.
