Association between dietary quality and accelerated aging: a cross-sectional study of two cohorts
Food & Function,
Год журнала:
2024,
Номер
15(15), С. 7837 - 7848
Опубликована: Янв. 1, 2024
Background:
Diet
quality
significantly
influences
aging
processes
and
age-related
health
outcomes.
This
study
aims
to
explore
the
association
between
dietary
accelerated
in
two
large
cohorts.
Methods:
collected
data
from
Kailuan
National
Health
Nutrition
Examination
Survey
(NHANES)
cohorts;
participants'
was
evaluated
using
American
Heart
Association
(AHA)
score
Healthy
Eating
Index-2015
(HEI-2015),
respectively.
Accelerated
participants
determined
by
calculating
difference
phenotypic
age
chronological
age.
Logistic
regression
models
were
used
scores
aging.
Additionally,
variations
this
across
different
subgroups
investigated.
To
minimize
influence
of
excessive
aging,
individuals
aged
75
above
excluded
sensitivity
analyses.
Results:
In
study,
we
included
33
701
(27.3%
female,
mean
57.29
±
11.88)
9285
(50.6%
49.83
17.62)
NHANES.
cohort,
with
ranging
3
5
exhibited
a
22%
lower
risk
compared
those
scoring
0
2
(OR
=
0.78,
95%
CI
0.72-0.85).
Similarly,
NHANES
highest
quartile
HEI-2015
experienced
34%
reduction
lowest
0.66,
0.52-0.84).
Subgroup
analyses
underscored
more
pronounced
among
males
unhealthy
lifestyles.
Sensitivity
confirmed
robustness
Conclusion:
summary,
our
found
significant
Better
associated
reduced
particularly
males,
smokers,
Язык: Английский
Construction and validation of a DNN-based biological age and its influencing factors in the China Kadoorie Biobank
Yushu Huang,
Lijuan Da,
Yue Dong
и другие.
GeroScience,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 7, 2025
Biological
age
is
an
important
measure
of
aging
that
reflects
individual's
physical
health
and
linked
to
various
diseases.
Current
prediction
models
are
still
limited
in
precision,
the
risk
factors
for
accelerated
remain
underexplored.
Therefore,
we
aimed
develop
a
precise
biological
assess
impact
socio-demographic
behavioral
patterns
on
process.We
utilized
Deep
Neural
Networks
(DNN)
construct
from
participants
with
examinations,
blood
samples,
questionnaires
data
China
Kadoorie
Biobank
(CKB)
between
June
2004
December
2016.
△age,
calculated
as
residuals
chronological
age,
was
used
investigate
associations
acceleration
Socio-demographics
(gender,
education
attainment,
marital
status,
household
income)
lifestyle
characteristics
(body
mass
index
[BMI],
smoking,
drinking,
activity,
sleep)
were
also
assessed
explore
their
acceleration.
18,261
aged
57
±
10
years
included
this
study.
The
DNN-based
model
has
demonstrated
accurate
predictive
performance,
achieving
mean
absolute
error
3.655
years.
△age
associated
increased
risks
morbidity
mortality,
highest
found
circulatory
respiratory
diseases,
hazard
ratios
1.033
(95%
CI:
1.023,
1.042)
1.078
1.027,
1.130),
respectively.
Socio-demographics,
including
being
female,
lower
education,
widowed
or
divorced,
low
income,
along
patterns,
such
underweight,
insufficient
poor
sleep,
aging.
Our
DNN
capable
constructing
using
commonly
collected
data.
aging,
highlighting
addressing
modifiable
can
effectively
slow
reduce
disease
risk,
providing
valuable
insights
interventions
promote
healthy
Язык: Английский
Identification of potential diagnostic biomarkers for hypertension via integrated analysis of gene expression and DNA methylation
Blood Pressure,
Год журнала:
2024,
Номер
33(1)
Опубликована: Авг. 1, 2024
Hypertension
refers
to
the
elevated
blood
pressure
(BP)
in
arteries,
with
a
BP
reading
of
140/90
mm
Hg
or
higher
adults.
Over
40%
>25-year-old
population
have
suffered
from
hypertension.
Thus,
this
study
aimed
find
novel
diagnostic
biomarkers
for
Язык: Английский
PhenoAge and PhenoAgeAccel in the context of dyslipidemia: association with stroke and potential as a new predictor in the US general population
Postgraduate Medical Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 31, 2024
The
challenges
posed
by
an
aging
society
are
increasingly
recognized,
particularly
regarding
the
potential
impacts
of
high-fat
diets
and
trend
toward
younger
ages
disease
onset.
purpose
this
study
was
to
clarify
relationships
between
prevalence
stroke
in
general
US
population
PhenoAge
(PA)
PhenoAgeAccel
(PAA).
Язык: Английский
Evaluating the role of biological age in osteoporosis risk among middle-aged and older adults: A nationwide perspective
Bone,
Год журнала:
2024,
Номер
189, С. 117255 - 117255
Опубликована: Сен. 14, 2024
Язык: Английский
From the molecular to the functional level: the aging continuum through blood pressure trajectories
The journal of nutrition health & aging,
Год журнала:
2024,
Номер
28(9), С. 100320 - 100320
Опубликована: Июль 20, 2024
Язык: Английский
Association between phenotypic age and mortality risk in individuals with obesity: a retrospective cohort study
Frontiers in Public Health,
Год журнала:
2024,
Номер
12
Опубликована: Дек. 9, 2024
This
study
investigates
the
association
between
phenotypic
age
acceleration
(PAA)
and
all-cause
cause-specific
mortality
in
obese
individuals.
Язык: Английский