Is meeting 24-hour movement guidelines associated with a lower risk of frailty among adults?
Yuxing Liu,
No information about this author
Shuai Gao,
No information about this author
Zhigang Dou
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et al.
International Journal of Behavioral Nutrition and Physical Activity,
Journal Year:
2025,
Volume and Issue:
22(1)
Published: Feb. 21, 2025
Language: Английский
Predicting metabolic syndrome: Machine learning techniques for improved preventive medicine
Orit Goldman,
No information about this author
Ofir Ben‐Assuli,
No information about this author
Shimon Ababa
No information about this author
et al.
Health Informatics Journal,
Journal Year:
2025,
Volume and Issue:
31(1)
Published: Jan. 1, 2025
Objectives:
Metabolic
syndrome
(MetS)
has
a
significant
impact
on
health.
MetS
is
the
umbrella
term
for
group
of
interdependent
metabolic
threats
that
contribute
to
emergence
diseases
can
lead
death.
This
study
was
designed
better
predict
risks
associated
with
enable
medical
personnel
make
more
optimal
preventive
decisions.
Study
design:
Data
from
large
hospital
survey
database
used
train
data
mining
classification
techniques
patient-level
risk
subsequent
extensive
engineering
included
aggregating
predictors
multiple
visits.
Methods:
A
prospective
seemingly
healthy
volunteers
studied
based
obtained
during
their
regular
annual
health
checkups.
Results:
After
variables
over
time,
findings
indicated
predictive
power
our
model
outperformed
methods
presented
in
other
studies
(AUC
=
0.947).
Specific
lifestyle
factors
were
identified
as
contributing
MetS.
Conclusion:
Involvement
avoid
recurring
significantly
decrease
problems
and
treatment
expenses.
The
emphasize
importance
using
tools
healthcare
medicine.
results
be
future
prevention
strategies
encourage
changes
implement
directed
protocols
burden
illness.
Language: Английский
Development of ICT-IoT-VR Ocean Healing Platform Using Wearable Device Linkage Application
Jin Hyeok Park,
No information about this author
Yun Seo Choi,
No information about this author
Hak Soo Lim
No information about this author
et al.
Springer proceedings in business and economics,
Journal Year:
2025,
Volume and Issue:
unknown, P. 397 - 411
Published: Jan. 1, 2025
Language: Английский
Effects of Online-based Exercise on Body Composition and Muscular Function during the COVID-19 Pandemic
Juseong Lee,
No information about this author
Jooeun Park,
No information about this author
Hyunmin Kim
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et al.
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
26(3), P. 74 - 81
Published: July 31, 2024
OBJECTIVES
This
study
aimed
to
assess
the
effectiveness
of
online-based
and
non-face-to-face
exercise
on
body
composition
muscular
function
in
physically
inactive
females
during
coronavirus
2019
(COVID-19)
pandemic.METHODS
included
21
women
with
a
mean
age
40.57
years.
All
participants
engaged
10
weeks
(three
times
per
week)
COVID-19
pandemic
using
Zoom
application,
an
online
communication
platform.
The
attendance
rate
for
30
sessions
program
was
97.6%.
We
used
computer
tomography
scan
cross-sectional
area
visceral
fat
thigh
muscles.
In
addition,
we
evaluated
by
measuring
isokinetic
peak
torque
knee
joint
at
three
angular
velocities
(60°/s,
90°/s,
180°/s),
as
well
lower-limb
proprioception
(joint
position
force
senses
joint).RESULTS
After
exercise,
significantly
decreased
(-3.1%,
p=0.03),
while
muscles
increased
(+2.0%,
p=0.001).
Isokinetic
60°/s
(flexion:
+9.2%
extension:
+13.7%)
180°/s
+12.0%
+12.3%).
Similar
results
were
obtained
regarding
weight
(p<0.01
p<0.001,
respectively).
A
significant
improvement
up
42%
p<0.05).CONCLUSIONS
showed
decrease
increase
muscle
area,
improved
function,
including
lower
proprioception,
following
exercise.
Online-based
nonface-to-face
can
be
suitable
alternative
improve
individuals,
even
post-pandemic.
Language: Английский