The Ethical Compass: Establishing ethical guidelines for research practices in sports medicine and exercise science
International journal of Sport Studies for Health,
Год журнала:
2024,
Номер
7(2), С. 31 - 46
Опубликована: Янв. 1, 2024
Objective:
Research
in
sports
medicine
and
exercise
science
has
experienced
significant
growth
over
recent
years.
With
this
expansion,
there
been
a
concomitant
rise
ethical
challenges
specific
to
these
disciplines.
While
various
guidelines
exist
for
numerous
scientific
fields,
comprehensive
set
tailored
specifically
is
lacking.
Aiming
bridge
gap,
paper
proposes
comprehensive,
updated
of
targeted
at
researchers
science,
providing
them
with
thorough
framework
ensure
research
integrity.
Methods:
A
collaborative
approach
was
adopted,
involving
contributions
from
diverse
group
international
experts
the
field.
review
existing
conducted,
followed
by
identification
detailed
examination
15
topics
relevant
discipline.
Each
topic
discussed
terms
its
definition,
consequences,
preventive
measures.
Results:
The
grown
significantly,
bringing
fore
unique
Our
identifies
key
challenges:
plagiarism,
data
falsification,
role
artificial
intelligence
chatbots
academic
writing,
overstating
results,
excessive/strategic
self-citation,
duplicate
publications,
non-disclosure
conflicts
interest,
image
manipulation,
misuse
peer
review,
ghost
gift
authorship,
inadequate
retention,
fabrication,
falsification
IRB
approvals,
lack
informed
consent,
unethical
human
or
animal
experimentation.
For
each
identified
challenge,
we
propose
practical
solutions
best
practices,
enriched
perspectives
our
expert
panel.
This
endeavor
aims
offer
foundational
nuanced
needs
ensuring
integrity
promoting
responsibility
across
vital
fields.
Conclusion:
article
represents
seminal
contribution
establishment
essential
designed
fields
science.
charts
clear
course
researchers,
clinicians,
policymakers
integrating
principles
heart
scholarly
clinical
activities.
Consequently,
it
envisions
future
where
consistently
inform
every
discovery
engagement.
Язык: Английский
Physical activity and neuroplasticity in neurodegenerative disorders: a comprehensive review of exercise interventions, cognitive training, and AI applications
Frontiers in Neuroscience,
Год журнала:
2025,
Номер
19
Опубликована: Фев. 28, 2025
This
review
aimed
to
elucidate
the
mechanisms
through
which
(i)
physical
activity
(PA)
enhances
neuroplasticity
and
cognitive
function
in
neurodegenerative
disorders,
(ii)
identify
specific
PA
interventions
for
improving
rehabilitation
programs.
We
conducted
a
literature
search
PubMed,
Medline,
Scopus,
Web
of
Science,
PsycINFO,
covering
publications
from
January
1990
August
2024.
The
strategy
employed
key
terms
related
neuroplasticity,
exercise,
function,
personalized
activity.
Inclusion
criteria
included
original
research
on
relationship
between
while
exclusion
eliminated
studies
focusing
solely
pharmacological
interventions.
identified
multiple
pathways
may
enhance
including
releasing
neurotrophic
factors,
modulation
neuroinflammation,
reduction
oxidative
stress,
enhancement
synaptic
connectivity
neurogenesis.
Aerobic
exercise
was
found
increase
hippocampal
volume
by
1–2%
improve
executive
scores
5–10%
older
adults.
Resistance
training
enhanced
control
memory
performance
12–18%
elderly
individuals.
Mind–body
exercises,
such
as
yoga
tai-chi,
improved
gray
matter
density
memory-related
brain
regions
3–5%
emotional
regulation
15–20%.
Dual-task
attention
processing
speed
8–14%
individuals
with
disorders.
also
discuss
potential
role
AI-based
AI
preventing
rehabilitating
illnesses,
highlighting
innovative
approaches
patient
outcomes.
significantly
disorders
various
mechanisms.
resistance
training,
mind–body
practices,
dual-task
exercises
each
offer
unique
benefits.
Implementing
these
activities
clinical
settings
can
Future
should
focus
creating
tailored
conditions,
incorporating
programs
optimize
rehabilitation.
Язык: Английский
Assessment of recommendations provided to athletes regarding sleep education by GPT-4o and Google Gemini (Preprint)
Опубликована: Янв. 16, 2025
BACKGROUND
Inadequate
sleep
is
prevalent
among
athletes,
affecting
adaption
to
training
and
performance.
While
education
on
factors
influencing
can
improve
behaviors,
Large
Language
Models
(LLMs)
may
offer
a
scalable
approach
provide
athletes.
OBJECTIVE
This
study
aims
i)
investigate
the
quality
of
recommendations
generated
by
publicly
available
LLMs,
as
evaluated
experienced
raters,
ii)
determine
whether
varies
with
information
input
granularity.
METHODS
Two
prompts
differing
granularity
(low
high)
were
created
for
two
use
cases
inserted
into
ChatGPT-4o
(GPT-4o)
Google
Gemini,
resulting
in
n=8
different
recommendations.
Experienced
raters
(n=13)
1-5
Likert-scale,
based
n=10
criteria
derived
from
recent
literature.
RESULTS
The
highest
summary
rating
was
achieved
GPT-4o
using
high
granularity,
ratings
>3
(tendency
towards
good),
n=3
equal
3
(neutral),
n=2
<3
bad).
significantly
outperformed
Gemini
9
out
10
(P<.001
P=.045).
Recommendations
received
higher
than
those
low
across
both
LLMs
(P<0.001
P=.049).
CONCLUSIONS
Both
exhibit
limitations,
neglecting
vital
education.
Sleep
suboptimal,
achieving
overall
quality.
However,
demonstrated
improved
recommendation
emphasizing
need
specificity
thorough
review
outputs
securely
implement
AI
technologies
Язык: Английский
Assessment of recommendations provided to athletes regarding sleep education by GPT-4o and Google Gemini: A comparative evaluation study (Preprint)
JMIR Formative Research,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 16, 2025
Язык: Английский
Diet Quality and Caloric Accuracy in AI-Generated Diet Plans: A Comparative Study Across Chatbots
Nutrients,
Год журнала:
2025,
Номер
17(2), С. 206 - 206
Опубликована: Янв. 7, 2025
Background/Objectives:
With
the
rise
of
artificial
intelligence
(AI)
in
nutrition
and
healthcare,
AI-driven
chatbots
are
increasingly
recognised
as
potential
tools
for
generating
personalised
diet
plans.
This
study
aimed
to
evaluate
capabilities
three
popular
chatbots-Gemini,
Microsoft
Copilot,
ChatGPT
4.0-in
designing
weight-loss
plans
across
varying
caloric
levels
genders.
Methods:
comparative
assessed
quality
meal
generated
by
a
calorie
range
1400-1800
kcal,
using
identical
prompts
tailored
male
female
profiles.
The
Diet
Quality
Index-International
(DQI-I)
was
used
dimensions
variety,
adequacy,
moderation,
balance.
Caloric
accuracy
analysed
calculating
percentage
deviations
from
requested
targets
categorising
discrepancies
into
defined
ranges.
Results:
All
achieved
high
total
DQI-I
scores
(DQI-I
>
70),
demonstrating
satisfactory
overall
quality.
However,
balance
sub-scores
related
macronutrient
fatty
acid
distributions
were
consistently
lowest,
showing
critical
limitation
AI
algorithms.
4.0
exhibited
highest
precision
adherence,
while
Gemini
showed
greater
variability,
with
over
50%
its
deviating
target
more
than
20%.
Conclusions:
show
significant
promise
nutritionally
adequate
diverse
Nevertheless,
gaps
achieving
optimal
emphasise
need
algorithmic
refinement.
While
these
have
revolutionise
offering
precise
inclusive
dietary
solutions,
they
should
enhance
rather
replace
expertise
dietetic
professionals.
Язык: Английский
Emotion‐aware psychological first aid: Integrating BERT‐based emotional distress detection with Psychological First Aid‐Generative Pre‐Trained Transformer chatbot for mental health support
Cognitive Computation and Systems,
Год журнала:
2025,
Номер
7(1)
Опубликована: Янв. 1, 2025
Abstract
Mental
health
disorders
have
a
global
prevalence
of
25%,
according
to
the
WHO,
and
this
is
exacerbated
by
factors
such
as
stigma,
geographical
location,
worldwide
shortage
practitioners.
chatbots
been
developed
address
these
barriers,
but
systems
lack
key
features
emotion
recognition,
personalisation,
multilingual
support,
ethical
appropriateness.
This
paper
introduces
an
innovative
mental
support
system
that
integrates
BERT‐based
emotional
distress
detection
with
psychological
first
aid
(PFA)‐generative
pre‐trained
transformer
(PFA‐GPT)
model,
providing
emotion‐aware
PFA
chatbot.
The
methodology
leverages
deep
learning
models,
utilising
bidirectional
encoder
representations
from
transformers
(BERT)
for
fine‐tuning
GPT‐3.5
on
therapy
transcripts
chatbot
development.
findings
demonstrate
BERT's
superior
accuracy
(93%)
compared
long
short‐term
memory.
using
PFA‐GPT
model
demonstrated
BERT
scores
(exceeding
83%)
proficiently
provided
PFA.
A
proof
concept
has
illustrate
integration
novel
generative
conversational
agent
integrated
approach
holds
significant
potential
in
overcoming
existing
barriers
transform
offering
timely
accessible
care
through
AI‐powered
interventions.
Язык: Английский
Integrating Psychological Care in Sports Injury Rehabilitation: A Comprehensive Mini-Review
Опубликована: Янв. 1, 2024
Background:
Sports
injuries
can
have
significant
psychological
impacts
on
athletes,
including
increased
anxiety,
depression,
isolation,
and
fear
of
reinjury.
These
mental
health
factors
impede
physical
rehabilitation.
Aim:
This
mini
review
synthesizes
recent
literature
the
responses
to
sports
argues
for
integrating
care
into
injury
Methods:
The
analyzes
current
research
athletes
across
various
age
groups.
It
focuses
studies
highlighting
emotional
reactions,
identity
loss,
reinjury,
other
distress.
Results:
Injured
commonly
experience
negative
reactions
like
shock,
anger,
sadness,
irritation,
altered
sleep
appetite.
They
also
face
risks
isolation
from
teammates,
loss
identity,
low
motivation
during
negatively
impact
adherence
rehabilitation
return
sport.
Conclusions:
medicine
professionals
should
address
alongside
optimize
outcomes.
Recommended
strategies
include
screening,
counseling,
techniques,
goal-setting,
social
support,
gradual
sport
protocols.
A
biopsychosocial
approach
is
necessary
properly
whole
athlete.
Язык: Английский
Does ChatGPT provide sufficient information about core exercises?
Turkish Journal of Kinesiology,
Год журнала:
2024,
Номер
10(3), С. 178 - 182
Опубликована: Сен. 26, 2024
The
objective
of
this
study
is
to
assess
the
accuracy
ChatGPT's
responses
regarding
core
exercises.
A
total
23
questions
were
asked
ChatGPT
3.5
about
Nine
physiotherapists
assessed
answers
provided
by
for
these
using
a
5-point
Likert
scale
(5:
strongly
agree,
1:
disagree).
maximum
possible
score
achievable
through
scoring
115,
while
minimum
23.
artificial
intelligence
received
an
average
3.93±0.46
(minimum:
3.48,
maximum:
4.91)
points.
lowest
obtained
from
was
3.22
±
0.97
(question
21),
whereas
highest
4.56
0.53
(questions
12
and
18).
Despite
having
some
shortcomings,
has
generally
satisfactory
Artificial
holds
potential
offer
counselling
individuals,
enhance
their
health
outcomes,
support
work
professionals
across
field
exercise
science,
including
sports
specialists.
Язык: Английский
Suboptimal Attainment of Global Goals of Human Rights, Universal Health Coverage and Sustainable Development Goals in Gaza During 2023–2024
Risk Management and Healthcare Policy,
Год журнала:
2024,
Номер
Volume 17, С. 3207 - 3216
Опубликована: Дек. 1, 2024
The
Israel
military
occupation,
ongoing
for
over
75
years,
has
profoundly
impacted
the
health
and
well-being
of
Palestinians.
Despite
longstanding
calls
Universal
Health
Coverage
(UHC)
sustainable
development,
response
global
systems
organizations
to
crises
such
as
recent
large-scale
assault
on
Gaza
in
October
2023
been
inadequate.
There
is
a
critical
need
examine
why
these
approaches
have
failed
how
they
can
be
restructured
address
unique
challenges
effectively.
This
analysis
aims
analyze
shortcomings
strategies
context
crisis
during
2023-2024,
evaluate
their
alignment
with
UHC
Sustainable
Development
Goals
(SDGs),
propose
actionable
solutions
enhance
relevance
effectiveness
conflict-affected
settings.
rendered
uninhabitable,
exacerbating
mass
human
loss,
destruction,
insecurity,
widespread
social
inequities.
highlighted
erosion
inability
meet
basic
population
needs.
Global
strategies,
currently
implemented,
fail
specific
Gaza,
including
ensuring
rights
health,
achieving
UHC,
advancing
SDGs.
These
failures
are
rooted
lack
context-specific
adaptation,
inadequate
accountability,
unresponsive
diplomacy.
concludes
that
entities
largely
ineffective
responding
crisis,
resulting
significant
inequities
life-saving
actions.
To
challenges,
there
an
urgent
tackle
factors
behind
role
suboptimal
attainment
goals.
should
redefined.
Reforming
existing
architecture
shaping
well-representative
alliances
by
involving
influential
actors
from
South
priority.
prioritize
advocacy,
diplomacy
while
developing
innovative
safeguard
rights,
achieve
promote
development
Palestine.
Язык: Английский