JAMA Network Open,
Journal Year:
2024,
Volume and Issue:
7(8), P. e2427063 - e2427063
Published: Aug. 9, 2024
Adverse
childhood
experiences
(ACEs),
potentially
traumatic
occurring
before
the
age
of
18
years,
are
associated
with
epigenetic
aging
later
in
life
and
may
be
transmitted
across
generations.
BMC Public Health,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: Jan. 8, 2025
The
relationship
between
sugar-sweetened
beverage
(SSB)
intake
and
phenotypic
age
acceleration
(PhenoAgeAccel)
is
unclear.
aim
of
this
study
was
to
explore
the
associations
energy
timing
SSB
PhenoAgeAccel
in
adults.
A
cross-sectional
analysis
conducted
using
data
from
National
Health
Nutrition
Examination
Survey
(NHANES)
2007–2010,
which
involved
U.S.
adults
aged
20
79
years.
assessment
estimation
were
through
24-hour
dietary
recall
interviews,
categorizing
participants
into
three
groups:
non-intake,
low
moderate-intake,
moderate–high-intake.
Furthermore,
consumers
divided
time
intervals
based
on
timing:
dawn-to-forenoon
(5:00
a.m.
11:59
a.m.),
noon-to-afternoon
(12:00
p.m.
17:59
p.m.),
dusk-to-night
(18:00
4:59
a.m.).
Multivariable
linear
regression
models
employed
evaluate
(energy
timing)
PhenoAgeAccel.
Additionally,
stratified
analyses
interaction
conducted.
obesity
assessed
via
two
distinct
metrics:
body
roundness
index
(BRI)
mass
(BMI).
Mediation
investigate
mediating
effect
After
controlling
for
covariates,
(per
100
kcal/day)
positively
correlated
with
(β
=
0.179,
95%
confidence
interval
[CI]:
0.086–0.271).
moderate–high-intake
group
presented
a
significantly
greater
than
non-intake
1.023,
CI:
0.414–1.632).
This
remained
stable
across
analyses.
Compared
those
who
abstained
SSB,
consumed
during
period
exhibited
notably
elevated
0.915,
0.316–1.514).
significant
interactive
smoking
timing–PhenoAgeAccel
association
observed
(P
0.002).
revealed
that
both
BRI
BMI
mediated
PhenoAgeAccel,
mediation
proportions
16.29%
16.21%,
respectively.
Our
positive
correlation
may
be
partially
by
obesity.
Moreover,
consuming
increase
BMC Public Health,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: Jan. 16, 2025
A
significant
relationship
is
present
between
childhood
hunger
experiences
(CHEs)
and
health,
but
explorations
of
the
longitudinal
persistence
this
its
mediating
mechanisms
are
still
lacking.
This
study
aims
to
evaluate
effects
CHEs
on
health
in
middle
old
age
determine
underlying
mechanisms.
Using
data
from
five
2011—2020
China
Health
Retirement
Longitudinal
Study
(CHARLS)
2014
Life
History
Survey
Questionnaire,
a
sample
9,909
individuals
aged
45
years
older
who
participated
all
six
surveys
was
obtained.
We
conducted
panel
analyses,
used
Probit
ordinary
least
squares
regression
models
analyze
age,
stepwise
tests
mediators
relationship.
significantly
predicted
self-assessment
(β
=
−0.18;
95%
CI:
−0.23,
−0.12),
probability
receiving
medical
treatment
−0.09;
−0.13,
−0.05),
depression
−0.30;
−0.35,
−0.25),
memory
−0.13;
−0.18,
−0.07),
cognitive
function
−0.26,
−0.00).
The
showed
an
aggravating
trend
regarding
function,
mitigating
self-assessed
memory.
Smoking,
exercising,
sleep
duration
were
revealed
as
transmitting
factors
health.
had
negative
impact
age.
While
their
gradually
worsen,
mitigated
over
time.
Lifestyle
such
smoking,
CHEs.
Thus,
status
experience
warrants
attention.
Communications Medicine,
Journal Year:
2025,
Volume and Issue:
5(1)
Published: Feb. 4, 2025
The
role
of
diet
in
aging
is
crucial,
yet
research
findings
on
how
specific
diets
influence
human
remain
inconsistent.
Understanding
the
relationship
between
dietary
factors
and
could
inform
interventions
to
promote
healthier
outcomes.
We
analyzed
data
from
UK
Biobank
baseline
survey
a
24-hour
assessment
investigate
association
aging.
study
examined
18
individual
food
intakes,
6
patterns,
3
macronutrient
quality
scores.
High-dimensional
Fixed
Effects
(HDFE)
models
were
used
assess
associations
measures,
including
telomere
length,
phenotypic
age,
brain
grey/white
matter
volumes.
Multivariable
Mendelian
Randomization
(MVMR)
was
employed
explore
causal
links
consumption
Our
results
show
that
are
generally
associated
with
improved
outcomes
HDFE
analyses.
Plant-based
correlates
increased
length
reduced
while
animal-based
intake
linked
adverse
effects.
MVMR
confirm
benefits
carbohydrate
intake,
reductions
age
(β
=
-0.0025;
95%
CI
[-0.0047,
-0.0003];
p
0.0253)
increases
whole-brain
grey
volume
0.0262;
[0.007,
0.046];
0.0087).
latter
remains
significant
after
multiple
testing
correction.
This
underscores
biological
provides
robust
evidence
for
promoting
These
highlight
potential
improve
aging-related
BMC Cancer,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: Feb. 25, 2025
Cancer
survivors
may
experience
accelerated
biological
aging,
increasing
their
risk
of
mortality.
However,
the
association
between
phenotypic
age
acceleration
(PAA)
and
mortality
among
cancer
remains
unclear.
This
study
aimed
to
evaluate
relationship
PAA
all-cause
mortality,
cancer-specific
non-cancer
adult
in
United
States.
We
utilized
data
from
National
Health
Nutrition
Examination
Survey
(NHANES)
1999
2018,
including
2,643
(unweighted)
patients
aged
≥
20
years.
Phenotypic
was
calculated
using
ten
physiological
biomarkers,
residuals
regressing
on
chronological
(age
residuals,
AAR)
were
used
determine
status.
Participants
divided
into
without
groups
based
sign
residuals.
Weighted
Cox
proportional
hazards
regression
models
assess
adjusting
for
demographic
characteristics,
lifestyle
factors,
comorbidities.
Restricted
cubic
spline
(RCS)
employed
explore
dose-response
AAR
Over
a
median
follow-up
9.16
years,
991
participants
died.
After
multiple
covariates,
significantly
associated
with
increased
risks
(HR
=
2.07;
95%
CI:
1.69–2.54),
2.15;
1.52–3.04),
2.06;
1.66–2.57).
Each
one-unit
increase
4%
all-cause,
cancer-specific,
1.04;
1.03–1.05).
RCS
indicated
linear
Among
U.S.
survivors,
is
serve
as
an
important
biomarker
predicting
prognosis
survivors.
GeroScience,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 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
Background:
Biological
aging
exhibits
heterogeneity
across
multi-organ
systems.
However,
it
remains
unclear
how
is
lifestyle
associated
with
overall
and
organ-specific
which
factors
contribute
most
in
Southwest
China.
Methods:
This
study
involved
8396
participants
who
completed
two
surveys
from
the
China
Multi-Ethnic
Cohort
(CMEC)
study.
The
healthy
index
(HLI)
was
developed
using
five
factors:
smoking,
alcohol,
diet,
exercise,
sleep.
comprehensive
biological
ages
(BAs)
were
calculated
Klemera–Doubal
method
based
on
longitudinal
clinical
laboratory
measurements,
validation
conducted
to
select
BA
reflecting
related
diseases.
Fixed
effects
model
used
examine
associations
between
HLI
or
its
components
acceleration
of
validated
BAs.
We
further
evaluated
relative
contribution
comprehension
organ
systems
BAs
quantile
G-computation.
Results:
About
two-thirds
changed
scores
surveys.
After
validation,
three
(the
cardiopulmonary,
metabolic,
liver
BAs)
identified
as
reflective
specific
diseases
included
analyses
BA.
health
alterations
showed
a
protective
association
all
BAs,
mean
shift
–0.19
(95%
CI
−0.34,
–0.03)
acceleration.
Diet
smoking
major
contributors
negative
factors,
metabolic
accounting
for
24%
55%
respectively.
Conclusions:
Healthy
changes
inversely
China,
diet
contributing
separately.
Our
findings
highlight
potential
interventions
decelerate
identify
intervention
targets
limit
less-developed
regions.
Funding:
work
primarily
supported
by
National
Natural
Science
Foundation
(Grant
No.
82273740)
Sichuan
Technology
Program
(Natural
Province,
Grant
2024NSFSC0552).
CMEC
funded
Key
Research
Development
2017YFC0907305,
2017YFC0907300).
sponsors
had
no
role
design,
analysis,
interpretation,
writing
this
article.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 11, 2025
AbstractBackground:
Obesity
and
aging
are
regarded
as
significant
risk
factors
for
type
2
diabetes(T2D).
However,
joint
effect
of
body
roundness
index
(BRI)
age
acceleration
(ACC),
novel
predictors
visceral
the
rate
aging,
with
incident
T2D
remains
unclear.
Objective:
To
examine
associations
BRI
ACC
T2D.
Methods:
This
prospective
cohort
study
used
data
from
UK
Biobank,
participants
pre-existing
diabetes
missing
were
excluded
in
analysis.
The
outcome
interest
was
Joint
assessed
through
eight
paired
quartile
combinations.
Kaplan-Meier
curves
to
estimate
cumulative
incidence,
while
Cox
proportional-hazards
regression
analyze
independent
by
gradually
adjusting
covariates.
Results:
Among
380,146
Biobank
over
14.6
years
follow-up,
15,262
developed
survival
indicated
that
a
higher
level
or
had
Both
levels
positively
associated
(BRI:HR:
1.30,
95%
CI:
1.28-1.32,
ACC:
HR:
1.03,
1.03-1.03).
When
categorized
into
quartiles,
those
top
demonstrated
significantly
increased
(BRI-Q4:HR:3.68,
95%CI:
3.35-4.04;
ACC-Q4:HR:1.59,
95%CI:1.50-1.68;
BRI-Q4
ACC-Q4:
6.76,
5.65-8.09).
Conclusion:
BRI
independently
T2D,
showing
stronger
predictive
capability.
Their
combined
effects
underscore
their
utility
non-invasive
screening
tools
risk.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 19, 2025
Abstract
The
impact
of
early-life
traumatic
experiences
on
late-life
morbidity
remains
partly
unknown.
We
tested
the
hypothesis
that
adverse
childhood
(ACE)
and
specifically
abuse
(physical,
verbal
or
emotional,
sexual)
experienced
during
early
adulthood
are
associated
with
a
higher
rate
accumulation
multi-morbidity
in
women.
Here
we
show
strong
evidence
support
hypothesis.
studied
1,026
women
aged
21–45
years
randomly
selected
from
general
population
Olmsted
County,
Minnesota
used
Rochester
Epidemiology
Project
medical
records-linkage
system
to
measure
development
18
chronic
conditions.
had
median
age
41
at
inclusion
study
were
followed
historically
for
21
years.
Women
an
ACE
score
≥
2
incidence
10
conditions
considered
separately
accelerated
measured
as
compared
0.
In
addition,
exposed
multi-morbidity.
excluded
possible
confounding
effect
socioeconomic
status
explored
series
mediation
events
characteristics.
discuss
several
biological
social
behavioral
mechanisms
underlying
these
associations.