Association between METS-IR and female infertility: a cross-sectional study of NHANES 2013–2018
Haiyan Li,
No information about this author
Hongxia Tan,
No information about this author
Zhenbo OuYang
No information about this author
et al.
Frontiers in Nutrition,
Journal Year:
2025,
Volume and Issue:
12
Published: Feb. 28, 2025
Background
Obesity
and
metabolic
syndrome
are
significant
contributors
to
infertility
in
women
closely
associated
with
insulin
resistance
(IR).
The
score
for
(METS-IR)
is
a
new,
non-insulin-based
fasting
index
used
measure
IR.
However,
the
potential
of
METS-IR
as
predictive
indicator
female
risk
has
not
been
established.
This
study
aimed
explore
association
between
infertility.
Methods
cross-sectional
data
from
National
Health
Nutrition
Examination
Survey
(NHANES)
2013
2018.
We
conducted
multivariate
logistic
regression,
restricted
cubic
spline
(RCS),
threshold
effect
analyses
investigate
relationship
Results
According
self-reported
data,
188
(12.20%)
participants
were
classified
infertile.
A
significantly
higher
proportion
elevated
found
have
Multivariable
regression
analysis
revealed
that
was
increased
infertility,
irrespective
independent
variable
by
continuous
variables
or
tertiles
fully
adjusted
model
(Model
3,
variable:
OR
=
1.02,
95%
confidence
interval
(CI):1.01–1.04,
p
0.005;
tertile
3
vs.
1:
2.00,
CI
1.21–3.28,
0.0128,
trend
=0.0126).
RCS
indicated
linear
correlation
(
0.121),
further
supported
this
0.136).
Moreover,
above
inflection
point
32.94,
increasing
level
<
0.0001).
Conclusion
Our
results
suggest
high
levels
positively
among
reproductive-aged
females
United
States.
Language: Английский
Correlation of alternative healthy eating index with risk of frailty among metabolic syndrome individuals: a cross-sectional study
Yi Wei,
No information about this author
Min Zha,
No information about this author
Jiangyi Yu
No information about this author
et al.
Aging Clinical and Experimental Research,
Journal Year:
2025,
Volume and Issue:
37(1)
Published: March 17, 2025
Abstract
Background
Mounting
evidence
identifies
diet
quality
as
a
frailty
modifying
factor.
Individuals
suffering
from
metabolic
syndrome
(MetS)
are
more
likely
to
be
affected
by
frailty.
Therefore,
our
research
sought
explore
the
relationship
of
Alternative
Healthy
Eating
Index
(AHEI)
with
risk
among
patients
MetS.
Methods
National
Health
and
Nutrition
Examination
Survey
(NHANES)
data
2005
2018
were
gathered.
Frailty
(FI)
was
utilized
for
assessment
status.
Weighted
multivariate
logistic
regression
model
adopted
investigating
association
AHEI
Subgroup
analysis,
interaction
test
restricted
cubic
spline
(RCS)
also
performed
in
this
study.
Results
When
covariates
considered
entirely
adjusted
for,
higher
scores
exhibited
significant
reduced
(OR
=
0.99,95%CI
0.981–0.998,
P
0.022).
Relative
participants
belonging
lowest
quartile(Q1),
that
individuals
highest
quartile(Q4)
decreased
32%
0.68,
95%
CI
0.51–0.92,
0.01).
Additionally,
negative
persisted
all
subgroup
analyses,
which
indicates
reliability
relationship.
Conclusion
For
MetS,
reduce
developing
This
investigation
provides
valuable
knowledge
could
treating
MetS
clinically
guiding
healthy
eating
program
development.
Language: Английский