BMJ Open,
Journal Year:
2018,
Volume and Issue:
8(1), P. e015747 - e015747
Published: Jan. 1, 2018
Objective
To
explore
diabetes-related
behaviours
and
their
influencing
factors
among
elderly
individuals
with
pre-diabetes
in
rural
areas
of
China.
Design,
setting
participants
A
cross-sectional
survey
was
conducted
(≥60
years)
communities
Yiyang
City
Multistaged
cluster
random
sampling
carried
out
to
select
42
areas,
interviews
were
434
(fasting
plasma
glucose
6.1–7.0
mmol/L
and/or
2-hour
post-glucose
load
7.8–11.1
mmol/L)
using
questionnaires
on
behaviours.
The
included
eight
categories:
average
daily
sedentary
time;
frequency
physical
activities
per
week;
regular
or
irregular
diet;
whether
paying
attention
diet
control
not;
dietary
preferences;
examinations
year;
current
smoking
status;
consumption
alcohol.
Each
the
risky
scored
−1
each
healthy
+1.
individual’s
score
sum
for
all
Main
outcome
measures
Participants
asked
about
general
information
(age,
gender,
marital
status,
history
hyperglycaemia,
family
diabetes
mellitus,
presence
other
diseases,
body
mass
index,
waist-to-hip
ratio
education)
Multivariate
linear
regression
analysis
performed
identify
risk
behaviour
pre-diabetes.
Results
China
2.7.
prevalences
as
follows:
<1
examination
year
(57.6%),
insufficient
(55.3%),
lack
paid
(51.4%),
high-salt
high-fat
diets
(41.0%),
lifestyle
(35.9%),
(22.8%),
alcohol
uptake
(15.0%)
(3.9%).
Gender
a
hyperglycaemia
found
be
score.
Conclusions
prevalence
high
pre-diabetic
More
effort
should
made
promote
prevention
Future
studies
undertaken
strategies
tailored
specially
this
population.
Trial
registration
number
ChiCTR-IOR-15007033;
Results.
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.
