Environmental
access
to
exercise
opportunities
plays
a
crucial
role
in
determining
the
level
of
physical
activity
within
population.
However,
it
is
unclear
how
environmental
factors
contribute
disparities
and
health
outcomes.
We
explored
associations
between
county-level
cardiovascular
disease
(CVD)
mortality
across
US
counties.
conducted
an
ecological
analysis
using
aggregated
data
from
two
primary
sources:
County
Health
Rankings
Roadmaps
CDC
WONDER
data.
compared
age-adjusted
CVD
quartiles
inactivity.
Stratification
was
performed
based
on
age,
sex,
race,
urbanization
variables.
The
rate
ratio
(RR)
for
also
calculated
generalized
linear
models.
observed
significant
variations
different
levels
inactivity,
which
consistent
all
demographic
subgroups
(P
<
0.001).
Access
significantly
associated
with
reduced
risk
(RR
=
0.93
[0.91-0.95]),
association
most
pronounced
acute
myocardial
infarction
(AMI)
(RR,
0.80
[0.76-0.85]).
inactivity
increased
1.16
[1.14-1.17]),
especially
ischemic
heart
(IHD)
1.35
[1.31-1.38])
AMI
1.32
[1.25-1.38]).
All
demonstrated
similar
benefits
reducing
by
improving
indicators
activity.
Counties
have
potential
make
strides
their
populations
enhancing
context
urbanization.
Journal of Clinical Cardiology,
Год журнала:
2024,
Номер
5(1), С. 6 - 29
Опубликована: Янв. 5, 2024
Cardiovascular
diseases
(CVDs)
remain
a
leading
cause
of
morbidity
and
mortality
worldwide.
Effective
prevention
management
strategies
are
essential
to
reduce
the
burden
CVDs.
This
review
summarizes
recent
advances
in
In
terms
prevention,
lifestyle
modifications,
such
as
diet,
exercise,
smoking
cessation,
important
strategies.
Pharmacological
interventions,
including
statins,
antiplatelet
agents,
antihypertensive
medications,
have
also
shown
benefits.
Innovative
approaches,
genetic
testing
risk
stratification,
targeted
strategies,
use
mobile
health
technology,
being
explored.
management,
acute
reperfusion
therapy
for
myocardial
infarction,
heart
failure
stroke
improved
outcomes.
Chronic
medical
failure,
arrhythmia
device
precision
medicine
personalized
treatment,
artificial
intelligence
diagnosis
traditional
Chinese
regenerative
medicine,
investigated.
While
CVDs
promising,
challenges
implementing
these
cost-effectiveness,
access
care,
resistance
change
clinical
practice.
Continued
research
innovation
improve
patient
International Journal of Molecular Sciences,
Год журнала:
2025,
Номер
26(2), С. 449 - 449
Опубликована: Янв. 7, 2025
Cardiovascular
diseases
(CVDs)
encompass
a
range
of
conditions
affecting
both
the
heart
(e.g.,
coronary
disease
and
failure
[1])
blood
vessels
cerebrovascular
[2]
peripheral
artery
[3])
[...].
Journal of Psychiatric Research,
Год журнала:
2024,
Номер
175, С. 437 - 445
Опубликована: Май 21, 2024
Over
300
million
individuals
worldwide
suffer
from
major
depressive
disorder
(MDD).
Individuals
with
MDD
are
less
physically
active
than
healthy
people
which
results
in
lower
cardiorespiratory
fitness
(CRF)
and
favorable
perceived
compared
controls.
Additionally,
may
show
autonomic
system
dysfunction.
The
purpose
of
the
present
study
was
to
evaluate
CRF,
function
in-patients
different
severity
We
used
data
212
(age:
40.7
±
12.6
y,
53%
female)
141
controls
36.7
12.7
58%
female).
assessed
CRF
Åstrand-Rhyming
test,
self-reported
by
heart
rate
variability
(HRV).
In
specific,
we
resting
rate,
time-
frequency-based
parameters
for
HRV.
In-patients
completed
Beck
Depression
Inventory-II
(BDI-II)
self-assess
subjectively
rated
depression.
Based
on
these
scores,
participants
were
grouped
into
mild,
moderate
severe
MDD.
main
finding
an
inverse
association
between
depression
as
well
Resting
elevated
increasing
severity.
time-based
but
not
showed
pattern
suggests
that
among
disorder,
those
particularly
high
self-assessed
scores
a
partial
dysfunction
To
counteract
conditions,
physical
activity
interventions
be
effective.
BMJ Open,
Год журнала:
2025,
Номер
15(1), С. e080307 - e080307
Опубликована: Янв. 1, 2025
Introduction
Cardiovascular
disease
(CVD)
is
the
leading
cause
of
mortality
worldwide,
though
it
may
be
prevented
by
increasing
physical
activity
(PA).
When
behaviour
change
techniques
(BCTs)
are
bundled
together,
they
increase
PA,
which
individual
BCTs
PA
(and
behavioural
mechanism
action
(MoA)
responsible
for
said
increase)
have
not
been
studied.
The
aim
this
study
to
conduct
a
randomised
factorial
experiment
determine
four
significantly
engage
proposed
MoA—self-efficacy
PA—in
adults
at
risk
CVD.
Methods
and
analysis
Eight
hundred
twenty
sedentary
(18–74
years
old)
CVD
will
recruited
between
September
2022
June
2025
fully
remote,
24-week
BCT
intervention.
To
identify
those
who
might
benefit
from
intervention,
we
define
self-reported
walking
<7500
steps
per
day
as
‘sedentary'.
Following
4-week
run-in
period
confirm
adherence
protocol,
624
eligible
participants
an
8-week
intervention
period.
A
full
conducted
with
16
possible
conditions:
one
receive
no
(no-BCT
condition),
another
all
four,
14
unique
combination
BCTs.
During
their
daily
BCT(s)
via
text
message.
Daily
continuously
measured
using
tracker.
Self-efficacy
assessed
bi-weekly
Self-Efficacy
Walking
Scale–Duration.
Participants
complete
12-week
post-intervention
follow-up
where
monitored
despite
being
delivered.
associated
increased
step
counts
self-efficacy
completion
(week
12
follow-up)
determined
alongside
whether
or
mediates
association
each
walking.
Ethics
dissemination
This
trial
was
approved
Northwell
Health
Institutional
Review
Board.
experimental
results
published
in
peer-reviewed
journal.
Data
clinical
made
available
on
reasonable
request.
Trial
registration
number
clinicaltrials.gov;
Identifier:
NCT05425641
,
06/21/2022
Frontiers in Public Health,
Год журнала:
2025,
Номер
12
Опубликована: Янв. 7, 2025
Hyper-personalized
medicine
represents
the
cutting
edge
of
healthcare,
which
aims
to
tailor
treatment
and
prevention
strategies
uniquely
each
individual.
Unlike
traditional
approaches,
often
adopt
a
one-size-fits-all
or
even
broadly
personalized
approach
based
on
broad
genetic
categories,
hyper-personalized
considers
an
individual's
comprehensive
health
data
by
integrating
unique
biological,
genetic,
lifestyle,
environmental
influences.
This
method
goes
beyond
simple
profiling
recognizing
that
outcomes
are
influenced
complex
interactions
among
our
environment,
daily
routines,
physiological
processes
responses.Central
is
integration
lifestyle
factors.
Lifestyle
habits,
such
as
diet
(Dalwood
et
al.,
2020;
Genel
Marx
Hepsomali
&
Groeger,
2021;
Dinu
2022;
Yang
Sadler
2024),
exercise
(Chow
Qiu
Ross
D'Onofrio
2023;
Isath
Mahindru
Ashcroft
2024;
Ponzano
sleep
patterns
(Hepsomali
Baranwal
Eshera
Lim
Sletten
Uccella,
Weinberger
2023),
directly
impact
health.
Hence,
understanding
these
factors
helps
interventions
align
with
day-to-day
realities
Environmental
factors,
air
quality
(Cheek
Markandeya
Shukla
Tang
Abdul-Rahman
Bedi
Bhattacharya,
climate
(Coates
Ebi
Helldén
Reismann
Rocque
Zhang
Münzel
Palmeiro-Silva
exposure
pollutants
(Qadri
Faiq,
2019;
Petroni
Lin
Sun
Xu
Yu
Levin
Shetty
Deziel
Villanueva
Sharma
also
play
significant
roles
in
determining
outcomes.
By
continuously
monitoring
analyzing
elements,
healthcare
providers
can
create
dynamic
plans
adapt
real-time
changes.
would
allow
for
proactive
measures
optimized
care.To
enable
model
care,
advanced
technologies
like
quantum
computing,
artificial
general
intelligence
(AGI),
internet
things
(IoT),
6G
connectivity
crucial
roles.
Quantum
computing
offers
ability
process
vast
intricate
datasets,
those
required
between
markers,
exposures,
choices,
far
greater
speed
accuracy
than
classical
(Munshi
Kumar
Stefano,
Ullah
Garcia-Zapirain,
2024).
AGI,
its
adaptive
learning
capabilities,
analyze
make
sense
this
provide
precise,
evolving
recommendations
change
patient's
environment
does
(Liu
Mitchell,
Tu
IoT
devices,
including
wearables
sensors,
gather
continuous
from
individuals,
tracking
physical
activity,
biometrics,
conditions
humidity
(Puri
Islam
Mathkor
Rocha
Šajnović
Salam,
With
advent
connectivity,
seamlessly
transferred
processed
real
time,
enabling
instant
feedback
intervention
(Nayak
Patgiri,
Nguyen
Ahad
Kumar,
Kaur,
Mahmood
Mihovska
2024).Together,
form
backbone
model,
will
push
medical
practices
highly
responsive,
individual-centered
As
advancements
continue
evolve,
has
potential
fundamentally
reshape
offering
truly
support
long-term
well-being.
Physical
activity
was
associated
with
the
risk
of
all-cause
and
cardiovascular
mortality.
However,
little
is
known
about
older
adults,
especially
those
aged
over
80
years.
2863
adults
in
Chinese
Longitudinal
Healthy
Longevity
Survey
(CLHLS)
were
enrolled.
score
used
to
evaluate
physical
activity.
Serum
25-hydroxyvitamin
D
demographic
characteristics
collected
at
baseline.
We
multivariable-adjusted
Cox
regression
models
stratified
analysis
determine
association
between
activity,
vitamin
all-cause/cardiovascular
Mediation
performed
mediating
effect
The
median
age
this
population
87
years,
70.27%
oldest-old
(age
≥
years).
observed
a
tendency
for
higher
concentration
participants
levels.
Both
levels
inversely
mortality
all
participants.
Between
mortality,
mediation
proportions
7.76%
(P
<
0.001)
4.13%
0.001),
respectively.
remained
significant
various
types
activities.
Furthermore,
accounted
greater
proportion
activities
housework
raising
domestic
animals/pets.
could
reduce
mediated
by
adults.
The
prevalence
of
mental
health
problems,
particularly
depression
and
anxiety
among
university
students,
has
increased
drastically
since
the
COVID‐19
pandemic.
In
this
cross‐sectional
study,
we
take
three
factors
that
evidence
suggests
should
have
an
impact
on
student
health—sleep,
exercise,
alcohol
consumption—and
add
a
novel
factor
preference
for
solitude
(PFS).
This
particular
been
chosen
as
post‐COVID‐19;
it
indicated
there
are
fewer
interactions
lower
sense
community
belonging
amongst
younger
people,
may
individual
students
in
different
ways
relative
to
their
social
interaction
or
solitude.
current
study
recruited
290
participants
from
University
Birmingham
measured
using
Patient
Health
Questionnaire
(PHQ‐9)
generalised
disorder
(GAD‐7)
questionnaire
measures.
Sleep
was
Condition
Indicator
(SCI),
PFS
Preference
Solitude
Scale
(PSS),
exercise
used
Recent
Physical
Activity
(RPAQ),
consumption
by
units
consumed
per
week.
Correlational
analysis
multiple
regression
analyses
were
determine
associations
between
variables
whether
sleep,
consumption,
predicted
our
measures
health.
found
significant
negative
correlation
both
(
r
=
−0.14,
p
0.017)
−0.20,
<
0.001).
Regression
identified
sole
predictor
outcomes,
accounting
3.7%
variance
1.6%
anxiety.
act
protective
risk
health,
underscoring
its
importance
developing
targeted
interventions
students.