Nutrients,
Journal Year:
2024,
Volume and Issue:
17(1), P. 68 - 68
Published: Dec. 28, 2024
Objectives:
The
aim
of
this
study
was
to
evaluate
which
anthropometric
index,
either
body
mass
index
(BMI)
or
weight-adjusted
waist
(WWI),
is
more
accurately
associated
with
the
prevalence
most
common
chronic
diseases
and
components
geriatric
assessment
in
hospitalized
older
adults.
Methods:
included
a
total
2945
adults
(median
age
82
years).
associations
between
presence
Comprehensive
Geriatric
Assessment
(CGA)
results
were
compared
WWI
BMI
values.
Results:
significantly
higher
both
sex
groups
suffering
from
hypertension,
diabetes,
osteoarthritis,
depression.
In
women,
parameter
increased
among
individuals
previous
myocardial
infarction,
who
presented
heart
failure
symptoms
had
kidney
disease
diagnosed,
whereas
men,
those
pulmonary
osteoporosis,
related
many
CGA
parameters
oftentimes
where
proved
fail.
There
positive
correlation
depressive
assessed
depression
scale
(GDS)
but
no
significant
BMI.
multiple
logistic
regression
models,
stronger
predictor
as
circumference
waist-to-height
ratio.
Conclusions:
an
association
diagnosis
well
according
GDS
adults,
women
men.
such
Both
high
values
seem
identify
patients
cardiometabolic
hypertension
diabetes.
According
study,
seems
be
promising
indicator
risk
and,
similarly
BMI,
useful
for
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Aug. 16, 2024
Cardiovascular
disease
(CVD)
is
a
significant
health
concern,
particularly
among
patients
with
diabetes.
The
weight-adjusted
waist
circumference
index
(WWI),
novel
metric
that
accounts
for
central
obesity,
has
shown
potential
in
predicting
obesity-related
risks.
This
study
aimed
to
evaluate
the
association
of
WWI
CVD
and
mortality
Utilizing
data
from
National
Health
Nutrition
Examination
Survey
1999
2020,
was
calculated
by
dividing
(WC)
square
root
body
weight.
Multivariate
logistic
regression,
multivariate
Cox
regression
restricted
cubic
spline
curves
were
used
assess
between
prevalence
diabetes,
subgroup
sensitivity
analyses
carried
out
delve
into
stability
findings.
predictive
performance
evaluated
using
area
under
receiver
operating
characteristic
curve
(ROC).
included
8,005
individuals
With
increase
values,
risk
developing
likelihood
progressively
rise.
fully
adjusted
continuous
model
indicated
28%
higher
chance
25%
all-cause
each
one-unit
WWI.
When
lowest
quartile
as
reference
category,
highest
linked
an
increased
(OR
1.66;
95%
CI
1.10–2.50,
p
=
0.015)
(HR
1.53,
1.27–1.83,
<
0.001)
Subgroup
confirmed
these
associations
consistent
stable
most
different
demographics.
ROC
analysis
had
capacity
than
WC,
hip
ratio,
weight
height
ratio.
significantly
associated
diabetes
United
States
may
serve
useful
tool
identifying
at
risk.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Aug. 12, 2024
Metabolic
syndrome
(MetS)
is
prevalent
and
significantly
impacts
global
public
health,
with
obesity
being
a
major
risk
factor
for
cardiovascular
diseases
(CVD)
mortality.
Traditional
metrics
like
body
mass
index
(BMI)
have
limitations
in
assessing
obesity-related
risks.
The
weight-adjusted
waist
circumference
(WWI)
has
emerged
as
novel
metric,
this
study
aimed
to
evaluate
the
association
of
WWI
CVD
mortality
MetS
patients.
This
used
data
from
12,641
participants
MetS,
derived
National
Health
Nutrition
Examination
Survey
(NHANES)
conducted
1999
2020.
was
calculated,
its
assessed
using
multivariate
logistic
Cox
regression
models.
controlled
potential
confounders
performed
subgroup
sensitivity
analyses
validate
robustness
findings.
predictive
performance
evaluated
area
under
receiver
operating
characteristic
curve
(ROC).
Kaplan-Meier
(KM)
curves
further
were
associations
between
population.
As
values
escalated,
there
proportional
rise
MetS.
fully
adjusted
continuous
model
revealed
32.0%
elevated
likelihood
development,
69.5%
increased
probability
heart
failure
(HF),
51.1%
heightened
mortality,
22.8%
augmented
all-cause
each
one-unit
increment
WWI.
Comparing
highest
lowest
quartile
WWI,
top
exhibited
(odds
ratio
[OR]
=
1.883;
95%
confidence
interval
[CI]:
1.276-2.633,
p-value
0.001),
HF
(OR
2.909;
CI:
1.490-5.677,
0.002),
(hazard
[HR]
2.088;
1.279-3.409,
0.003),
(HR
1.394;
1.070-1.816,
0.014)
among
individuals
Sensitivity
substantiated
consistency
stability
these
across
various
demographic
groups.
ROC
analysis
demonstrated
that
outperforms
BMI
predicting
adverse
outcomes
KM
validated
higher
correlated
diminished
survival
rates
served
significant
indicator
recommended
regular
assessment
evaluating
their
potentially
enhancing
preventive
treatment
strategies
patient
Frontiers in Medicine,
Journal Year:
2024,
Volume and Issue:
11
Published: Oct. 23, 2024
Obesity
is
recognized
as
a
prominent
factor
in
the
pathogenesis
of
obstructive
sleep
apnea
(OSA).
The
weight-adjusted-waist
index
(WWI)
has
emerged
novel
metric
for
assessing
adiposity.
study
aimed
to
investigate
potential
correlation
between
WWI
and
OSA.
Frontiers in Endocrinology,
Journal Year:
2025,
Volume and Issue:
16
Published: Feb. 10, 2025
Background
Recently,
weight-adjusted-waist
index
(WWI),
a
new
for
evaluating
obesity,
has
been
developed.
This
study
aimed
to
examine
the
association
between
WWI
and
T2DM
in
Chinese
urban
adults.
Method
A
total
of
5,0978
eligible
participants
drawn
from
prospective
REACTION
(Cancer
Risk
Assessment
People
with
Diabetes)
were
included
this
study.
Participants
divided
into
3
groups
based
on
baseline
levels.
Pearson
correlation
analysis
binary
logistic
regression
conducted
explore
risk
factors
risk.
Results
The
prevalence
central
obesity
was
14.2%,
46.8%
11.0%
respectively,
median
age
57
years.
Logistic
showed
that
significantly
associated
T2DM.
Compared
lowest
tertile
(T1)
serving
as
reference
group,
second
(T2)
third
(T3)
0.218-fold
[1.218
(1.152,
1.288),
P
<
0.001]
0.286-fold
[1.286
(1.212,
1.364),
increase
odds
developing
respectively.
After
adjusting
all
exception
stratified
variable,
held
true
age,
sex,
BMI,
hypertension,
hyperlipidemia
subgroup
especially
pronounced
those
aged
<60
years,
BMI
≥24
kg/m
2
,
males,
interactions
(
interaction
<0.05).
Conclusion
positively
adults,
young
middle-aged
males
.
World Journal of Psychiatry,
Journal Year:
2025,
Volume and Issue:
15(3)
Published: Feb. 26, 2025
The
weight-to-waist
index
(WWI)
serves
as
an
innovative
metric
specifically
designed
to
assess
central
obesity.
However,
the
relationship
between
WWI
and
prevalence
of
post-stroke
depression
(PSD)
remains
inadequately
explored
in
literature.
To
elucidate
PSD.
Data
from
National
Health
Nutrition
Examination
Survey
2005
2018
were
analyzed.
Multivariable
logistic
regression
models
propensity
score
matching
utilized
investigate
association
PSD,
with
adjustments
for
potential
confounders.
restricted
cubic
spline
statistical
method
was
applied
explore
non-linear
associations.
Participants
elevated
values
had
a
significantly
greater
risk
developing
Specifically,
individuals
higher
range
exhibited
more
than
twice
likelihood
PSD
compared
those
lower
(odds
ratio
=
2.21,
95%
confidence
interval:
1.84-2.66,
P
<
0.0001).
After
matching,
remained
1.43,
95%confidence
1.09-1.88,
0.01).
Tertile
analysis
revealed
that
participants
highest
tertile
faced
lowest
tertile.
Restricted
further
association,
plateauing
at
values.
There
is
significant
increased
Thus,
regular
screening
should
be
implemented
stroke
patients
enhance
patient
outcomes.
BMC Public Health,
Journal Year:
2024,
Volume and Issue:
24(1)
Published: July 29, 2024
The
weight-adjusted
waist
index
(WWI)
is
a
quantitative
anthropometric
that
can
be
applied
to
evaluate
obesity.
This
study
examined
the
relationship
between
adult
United
States
(US)
residents'
risk
of
diabetes
mellitus
type
2
(T2DM)
and
WWI.
NHANES
(National
Health
Nutrition
Examination
Survey)
2001–2018
provided
data
for
this
investigation.
used
multifactorial
logistic
regression
analysis,
smoothed
curve
fitting,
subgroup
interaction
tests
assess
association
WWI
T2DM.
Additionally,
threshold
effects
were
calculated
using
two-stage
linear
model.
receiver
operating
characteristic(ROC)
curves
evaluated
diagnostic
ability
commonly
obesity
indicators.
20,477
participants
enrolled
in
patients
with
greater
levels
had
higher
prevalence
T2DM
have
non-linear
relationship,
positive
found
on
left
side
breakpoint
(WWI
=
12.35)
(OR
1.82,
95%CI:1.64–2.02),
whereas,
right
side,
no
such
was
0.9,
95%CI:0.61–1.34).
For
every
unit
rise
WWI,
probability
having
increased
by
67%
after
controlling
all
other
variables
(OR:1.67,95%CI:1.53–1.83).
Based
analyses,
individuals
under
40
correlation
(P
<
0.001).ROC
analyses
showed
best
discrimination
accuracy
predicting
compared
indicators
(WC,
BMI,
Weight).
Higher
values
US
individuals,
especially
adults
40.
has
strongest
predict
Therefore,
importance
early
identification
should
emphasized.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 19, 2024
Abstract
Purpose
To
explore
how
WWI
correlates
with
prediabetes
prevalence.
Methods
analyzing
data
from
13,688
individuals
and
14,753
non-diabetic
individuals,
multifactorial
logistic
regression
models
were
used
to
assess
the
relationship
between
incidence
of
prediabetes,
considering
variables
such
as
age,
gender,
BMI,
race,
various
health
markers,
compared
WC
(Waist
Circumference),
WHt
(Waist-to-Height
Ratio).
Results
The
study
found
a
direct
significant
association
an
increase
in
increased
prevalence
especially
highest
quartile
(Q4).
Gender
differences
also
evaluation
effect
was
on
par
greater
than
that
BMI
WHt.
Conclusion
has
been
proven
be
key
indicator
for
assessing
emphasizing
need
gender-specific
approaches
strategies.
