Research Progress and Trends in Exercise Interventions for Mild Cognitive Impairment: A Bibliometric Visualization Analysis Using CiteSpace
Qifeng Han,
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Sung Min Kim
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Journal of Multidisciplinary Healthcare,
Journal Year:
2025,
Volume and Issue:
Volume 18, P. 505 - 529
Published: Jan. 1, 2025
With
the
increasing
global
aging
population,
exercise
interventions
for
mild
cognitive
impairment
(MCI)
have
gained
significant
research
attention.
This
study
uses
CiteSpace6.3R2
to
systematically
analyze
progress
and
emerging
trends
in
this
field.
A
comprehensive
literature
search
Web
of
Science
Core
Collection
focused
on
MCI.
After
screening,
420
relevant
publications
were
imported
into
bibliometric
analysis,
generating
visual
maps
keywords,
authors,
institutions,
other
key
indicators.
Publications
MCI
shown
steady
growth,
with
Journal
Alzheimer's
Disease
leading
volume,
Geriatrics
&
Gerontology
as
dominant
subject
area.
The
USA
ranks
highest
collaborative
output,
Chinese
University
Hong
Kong
top
institution.
Among
Shimada
Hiroyuki
three
Japanese
colleagues
are
contributors,
while
Neurology
is
most
frequently
co-cited
journal.
author,
Petersen,
R.C.
has
his
2018
work
reference.
High
co-occurrence
keywords
include
"mild
impairment",
"dementia",
"Alzheimer's
disease".
primary
keyword
clusters
#0
Cognitive
training,
#1
impairment,
#2
Mild
newly
burst
"systematic
review",
"recommendations",
"depression".
Research
been
steadily
gaining
attention,
becoming
an
interdisciplinary
area
fields
such
geriatrics
neuroscience,
findings
concentrated
specific
journals.
In
collaboration
network,
developed
countries
dominate,
showing
systematic
patterns
inter-institutional
collaboration,
author
collaborations
primarily
within
institutions.
Current
centered
design
mechanisms
intervention
programs.
Future
studies
will
prioritize
integrated
strategies,
evidence
synthesis,
personalized
populations.
Language: Английский
The Impact of Digital Competence on Pedagogical Innovation among Nurse Educators: The Moderating Role of Artificial Intelligence Readiness
Nurse Education in Practice,
Journal Year:
2025,
Volume and Issue:
85, P. 104367 - 104367
Published: April 8, 2025
Language: Английский
Use of artificial intelligence in nursing
LatIA,
Journal Year:
2024,
Volume and Issue:
2, P. 92 - 92
Published: Sept. 2, 2024
Introduction:
Artificial
Intelligence
(AI)
encompasses
technologies
such
as
machine
learning
and
neural
networks,
with
applications
across
various
fields.
The
World
Health
Organization
recognizes
its
potential
to
enhance
healthcare,
yet
emphasizes
the
need
address
ethical
considerations
in
implementation.
In
nursing,
AI
has
increase
autonomy
efficiency
care,
though
use
remains
limited
poorly
understood
within
profession.Objective:
To
analyze
of
nursing
by
evaluating
impact
on
care
functions,
administrative
tasks,
educational
activities,
research.Methods:
A
literature
review
was
conducted,
including
original
articles,
reviews,
bibliometric
studies.
research
focused
four
primary
functions
nursing.Results:
demonstrated
benefits
predictive
analytics
improving
patient
efficiency,
well
management
classification.
education,
generative
facilitates
development
materials,
although
it
presents
risks
bias.
research,
serves
an
assistant
data
search
analysis,
despite
facing
methodological
challenges.Conclusions:
significantly
transform
practice,
enhancing
both
quality
care.
However,
integration
necessitates
careful
limitations
ensure
a
positive
field.
Language: Английский