The
occurrence
and
progression
of
asthma
can
be
influenced
by
the
components
in
food.
Our
study
aims
to
determine
whether
dietary
antioxidant
inflammatory
potential
are
associated
with
risk
mortality
patients.
Abstract
Background
There
is
an
increasing
awareness
that
diet-related
inflammation
may
have
impact
on
the
stroke.
Herein,
our
goal
was
to
decipher
association
of
dietary
inflammatory
index
(DII)
with
stroke
in
US
general
population.
Methods
We
collected
cross-sectional
data
44,019
participants
National
Health
and
Nutrition
Examination
Survey
(NHANES)
1999–2018.
The
DII
estimated
using
weighted
multivariate
logistic
regression,
its
nonlinearity
being
examined
by
restricted
cubic
spline
(RCS)
regression.
least
absolute
shrinkage
selection
operator
(LASSO)
regression
applied
for
identifying
key
stroke-related
factors,
which
then
included
establishment
a
risk
prediction
nomogram
model,
receiver
operating
characteristic
(ROC)
curve
built
evaluate
discriminatory
power
Results
After
confounder
adjustment,
adjusted
odds
ratios
(ORs)
95%
confidence
intervals
(CIs)
across
higher
quartiles
were
1.19
(0.94–1.54),
1.46
(1.16–1.84),
1.87
(1.53–2.29)
compared
lowest
quartile,
respectively.
RCS
showed
nonlinear
positive
between
model
based
factors
identified
LASSO
displayed
considerable
predicative
value
stroke,
area
under
(AUC)
79.8%
(78.2–80.1%).
Conclusions
Our
study
determined
Given
intrinsic
limitations
design,
it
necessary
conduct
more
research
ensure
causality
such
association.
Frontiers in Immunology,
Год журнала:
2024,
Номер
15
Опубликована: Март 8, 2024
Background
There
is
a
growing
acknowledgment
of
the
potential
influence
antioxidative
effects
resulting
from
dietary
decisions
on
occurrence
stroke.
The
objective
this
study
was
to
elucidate
correlation
between
composite
antioxidant
index
(CDAI)
and
incidence
stroke
in
general
population
United
States.
Methods
We
gathered
cross-sectional
data
encompassing
40,320
participants
National
Health
Nutrition
Examination
Survey
(NHANES)
spanning
years
1999
2018.
Employing
weighted
multivariate
logistic
regression,
we
assessed
CDAI
stroke,
while
also
investigating
nonlinear
relationships
through
restricted
cubic
spline
(RCS)
regression.
Further,
intake
components
were
then
incorporated
into
predictive
nomogram
model,
subsequently
evaluated
for
its
discriminatory
prowess
risk
assessment
using
receiver
operating
characteristic
(ROC)
curve.
Results
Post-adjustment
confounding
variables,
found
that
higher
score
associated
with
decreased
odds
ratio
(OR)
[95%
CI]
associating
prevalence
0.96
[0.94-0.98]
(P<
0.001).
Moreover,
adjusted
OR
across
ascending
quartiles
stood
at
0.90
[0.74-1.09],
0.74
[0.60-0.91],
0.61
[0.50-0.76]
compared
reference
quartile,
respectively.
RCS
analysis
indicated
yet
negative
constructed
based
antioxidants,
exhibited
significant
capacity
risk,
boasting
an
area
under
curve
(AUC)
77.4%
(76.3%–78.5%).
Conclusion
Our
investigation
ascertained
relationship
within
broader
American
population.
However,
given
inherent
limitations
design,
further
comprehensive
research
imperative
establish
causative
nature
association.
European journal of medical research,
Год журнала:
2025,
Номер
30(1)
Опубликована: Янв. 31, 2025
Our
research
was
designed
to
investigate
the
relationship
between
dietary
inflammatory
index
(DII)
and
risk
of
ocular
diseases,
including
glaucoma,
cataract,
age-related
macular
degeneration
(ARMD),
diabetic
retinopathy.
We
used
National
Health
Nutrition
Examination
Survey
(NHANES)
data
from
2005
2008
conduct
this
study.
The
correlation
DII
diseases
examined
using
weighted
multivariable
logistic
regression
analysis,
restricted
cubic
spline
(RCS)
plots,
subgroup
analysis.
In
total,
2885
participants
NHANES
database
were
included.
scores
divided
into
four
group:
Q1
(-
4.438-0.386),
Q2
(0.387-1.848),
Q3
(1.849-3.073),
Q4
(3.074-4.970).
RCS
shown
that
there
a
U-shaped
prevalence
ARMD,
After
adjusting
for
underlying
confounding
variables,
compared
group,
odd
ratios
(ORs)
with
95
percent
confidence
intervals
(CIs)
retinopathy
across
quartiles
[0.97
(0.54,
1.75),
1.20
(0.68,
2.11),
1.29
(0.73,
2.30)],
[0.87
(0.56,
1.35),
1.12
1.73),
1.16
(0.75,
1.80)],
[0.85
(0.53,
1.36),
0.66
(0.40,
1.09),
0.97
(0.61,
1.56)]
[0.86
(0.63,
1.18),
0.89
(0.65,
1.22),
1.04
1.45)]
DII,
respectively.
Reducing
intake
pro-inflammatory
foods
may
be
an
effective
measure
prevent
onset
disease,
However,
eating
only
anti-inflammatory
is
not
best
choice.
Chronic
inflammatory
responses
have
been
reported
to
be
associated
with
low
muscle
mass
and
systemic
immune-inflammation
index(SII)
is
a
novel
indicator
of
inflammation.
The
purpose
our
study
was
clarify
the
relationship
between
SII
mass.This
cross-sectional
based
on
National
Health
Nutrition
Examination
Survey
(2011-2018).
calculated
as
platelet
count
×
neutrophil
count/lymphocyte
count.
Appendicular
skeletal
index
used
define
mass.
individuals
were
divided
into
four
groups
by
quartile
(Q1-Q4).
Multivariate
weighted
logistic
regression
analysis,
smooth
curve
fitting
subgroup
analysis
investigate
sarcopenia.
Subgroup
demographic
clinical
variables.There
10,367
enrolled
in
final
analysis.
overall
mean
age
39.39
years
49.17%
males.
prevalence
population
8.77%.
indicated
near-linear
In
multivariate
odds
ratio
(OR)
Q4
1.28
(95%
CI,
1.16-1.40)
for
when
compared
lowest
SII.
still
increased
risk
independently.The
levels
an
large
population.
Our
understanding
inflammation
Anti-inflammation
therapy
may
important
Abstract
Background
Diet
has
long
been
recognized
as
an
important
modifiable
risk
factor
for
hypertension.
Herein,
our
research
goal
was
to
decipher
the
association
of
healthy
eating
index-2015
(HEI-2015)
with
hypertension,
and
explore
potential
gender
differences.
Methods
We
collected
cross-sectional
data
42,391
participants
National
Health
Nutrition
Examination
Survey
(NHANES)
1999–2018.
The
HEI-2015
hypertension
estimated
using
weighted
multivariate
logistic
regression,
restricted
cubic
spline
(RCS)
regression
being
adopted
examine
nonlinearity
this
in
both
genders,
stability
results
were
examined
by
sensitivity
analysis.
also
performed
subgroup
analysis
detect
difference
link
between
stratified
several
confounding
factors.
Results
After
eliminating
bias,
adjusted
odds
ratios
(ORs)
95%
confidence
intervals
(CIs)
across
higher
quartiles
0.93
(0.85–1.03),
0.84
(0.77–0.93),
0.78
(0.72–0.86)
compared
lowest
quartile,
respectively.
nonlinearly
inversely
associated
all
participants.
gender-specific
RCS
curves
presented
a
U-shaped
correlation
males,
while
showed
linear
inverse
females.
Besides,
analyses
lower
who
females,
younger
than
40
years,
Whites,
obese,
diabetic
patients.
Conclusions
determined
nonlinear
US
general
population,
revealed
remarkable
when
adhering
diet
preventing
Frontiers in Immunology,
Год журнала:
2024,
Номер
15
Опубликована: Янв. 16, 2024
Aim
The
epidemiological
evidence
regarding
the
impact
of
dietary
selenium
intake
on
hypertension
continues
to
be
a
subject
controversy.
Our
objective
is
examine
correlation
between
and
prevalence
within
substantial
diverse
population
in
United
States.
Methods
We
carried
out
cross-sectional
study
using
data
from
National
Health
Nutrition
Examination
Survey
(NHANES)
assess
association
prevalence.
Weight
logistic
regression
analysis
smooth
curve
fitting
were
utilized
explore
potential
linear
relationships.
Subgroup
was
further
employed
investigate
differences
this
relationship
across
populations
synergies.
Results
included
32,928
individuals,
average
1.12
±
0.53
μg.
rate
36.55%
overall
decreased
with
higher
quartiles
(quartiles
1,
40.25%;
2,
37.71%;
3,
36.04%,
4,
32.23%,
p
<
0.001).
Each
quartile
increase
associated
11%
likelihood
[OR
=
0.89;
95%
CI:
0.80–1.00;
0.0425].
analyses
revealed
that
there
no
significant
gender,
age,
body
mass
index,
smoking
status,
alcohol
consumption,
diabetes
mellitus
relation
hypertension.
Conclusion
adults
found
linearly
negatively
correlated
intake.
In
order
improve
prevention
treatment
hypertension,
greater
emphasis
should
placed
consumption.
Frontiers in Endocrinology,
Год журнала:
2024,
Номер
15
Опубликована: Фев. 28, 2024
Objectives
This
study
was
aimed
to
develop
a
nomogram
that
can
accurately
predict
the
likelihood
of
cognitive
dysfunction
in
individuals
with
abdominal
obesity
by
utilizing
various
predictor
factors.
Methods
A
total
1490
cases
were
randomly
selected
from
National
Health
and
Nutrition
Examination
Survey
(NHANES)
database
for
years
2011–2014.
The
diagnostic
criteria
as
follows:
waist
size
≥
102
cm
men
88
women,
function
assessed
Consortium
Establish
Registry
Alzheimer’s
Disease
(CERAD),
Word
Learning
subtest,
Delayed
Recall
Test,
Animal
Fluency
Test
(AFT),
Digit
Symbol
Substitution
(DSST).
divided
into
two
sets:
training
set
consisting
1043
(70%)
validation
447
(30%).
To
create
model
nomogram,
multifactor
logistic
regression
models
constructed
based
on
predictors
identified
through
LASSO
analysis.
model’s
performance
using
several
metrics,
including
consistency
index
(C-index),
area
under
receiver
operating
characteristic
(ROC)
curve
(AUC),
calibration
curves,
decision
analysis
(DCA)
assess
clinical
benefit
model.
Results
multivariate
revealed
age,
sex,
education
level,
24-hour
fat
intake,
red
blood
cell
folate
concentration,
depression,
moderate
work
activity
significant
(
p
<
0.05).
These
incorporated
nomogram.
C-indices
sets
0.814
(95%
CI:
0.875-0.842)
0.805
0.758-0.851),
respectively.
corresponding
AUC
values
0.795
0.753-0.847).
curves
demonstrated
satisfactory
level
agreement
between
observed
data.
DCA
indicated
early
intervention
at-risk
populations
would
provide
net
benefit,
line
graph.
Conclusion
Age,
predictive
factors
obesity.
In
conclusion,
developed
this
effectively
risk
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Апрель 16, 2024
Abstract
Chronic
pain,
a
substantial
public
health
issue,
may
be
influenced
by
dietary
patterns
through
systemic
inflammation.
This
cross-sectional
study
explored
the
association
between
Dietary
Inflammatory
Index
(DII)
and
chronic
pain
among
2581
American
adults
from
NHANES
data.
The
DII,
ranging
−
4.98
to
4.69,
reflects
inflammatory
potential
of
diet,
with
higher
scores
indicating
greater
pro-inflammatory
capacity.
Our
findings
showed
no
significant
continuous
DII
score
prevalence.
However,
nonlinear
relationship
emerged.
When
was
categorized,
(DII
≥
2.5)
prevalence
observed.
analysis
uncovered
U-shaped
pattern,
an
inflection
point
at
0.9,
both
low
high
levels
inflammation
are
associated
nuanced
interaction
indicates
possibility
incorporating
modification
into
management
strategies
underscores
need
for
further
research
long-term
effects
diet
on
pain.
Frontiers in Nutrition,
Год журнала:
2023,
Номер
10
Опубликована: Сен. 21, 2023
Hyperuricemia
is
a
common
condition
that
can
lead
to
gout
and
other
related
diseases.
It
has
been
suggested
Inflammatory
factors
play
important
role
in
the
development
progression
of
hyperuricemia.
The
dietary
inflammatory
index
(DII)
enables
assessment
potential
an
individual's
diet.
This
study
aimed
investigate
association
between
DII
hyperuricemia.This
was
performed
based
on
cross-sectional
dataset
from
National
Health
Nutrition
Examination
Survey
(NHANES)
2005-2018.
Participants
aged
18
years
above
with
intake
serum
uric
acid
level
information
were
included.
scores
calculated
using
data,
which
participants
categorized
into
tertiles.
Multivariable
logistic
regression
analysis
adopted
hyperuricemia.Among
total
31,781
analysis,
5,491
had
After
adjusting
confounding
factors,
odds
hyperuricemia
are
significantly
higher
second
(OR
1.17,
95%
CI
1.07-1.29)
third
tertiles
1.31,
1.19-1.44)
relative
first
one.This
diet
potential,
as
measured
by
DII,
associated
increased
risk.
These
findings
indicated
modification
may
be
approach
for
hyperuricemia's
prevention
control.
Background
and
objective
Chronic
kidney
disease
(CKD)
is
a
global
health
concern
that
frequently
associated
with
hypertension.
Inflammation
an
important
factor
in
the
development
of
both
illnesses.
The
Dietary
Index
(DII)
has
evolved
as
way
to
measure
how
much
diet
can
cause
inflammation,
which
may
impact
CKD,
especially
hypertensive
persons.
study's
goal
investigate
link
between
DII
occurrence
CKD
individuals.