Clinical Journal of Sport Medicine,
Journal Year:
2024,
Volume and Issue:
34(4), P. 370 - 375
Published: Jan. 4, 2024
Objective:
The
authors
report
no
conflicts
of
interest.
To
determine
baseline
sleep
characteristics
male/female
student-athletes
across
multiple
sports
using
objective
and
subjective
measures.
Design:
Prospective
study.
Setting:
Division
I
college.
Participants:
Eighty-two
male
female
student-athletes.
Interventions:
Participants
completed
2
validated
questionnaires
(Epworth
Sleepiness
Scale
[ESS]
Single-Item
Sleep
Quality
[SISQS])
to
assess
sleep.
They
also
wore
a
monitoring
device
(WHOOP
4.0
band)
for
at
least
14
nights
collect
data
on
total
time
(TST)
architecture.
Main
Outcome
Measures:
Overnight
variables,
including
TST,
spent
awake
in
bed
after
falling
asleep,
light
sleep,
rapid
eye
movement
(REM)
slow-wave
(SWS)
cycles.
quality
daytime
sleepiness
were
assessed.
Results:
There
statistical
differences
between
average
architecture,
consistency,
SISQS,
ESS
scores.
TST
was
409.2
±
36.3
minutes.
architecture
consisted
25.6%
REM,
19.9%
SWS,
54.4%
consistency
61.6%
8.9%.
SISQS
score
6.48
1.71,
the
7.57
3.82.
A
significant
difference
found
wake
males
females
(55.0
vs
43.7
min,
P
=
0.020),
with
an
overall
50.2
16.2
Conclusions:
College
do
not
typically
obtain
recommended
amount
Optimizing
can
positively
affect
academic
athletic
performance.
JMIR mhealth and uhealth,
Journal Year:
2020,
Volume and Issue:
8(10), P. e20465 - e20465
Published: Sept. 23, 2020
Background
Assessment
of
sleep
quality
is
essential
to
address
poor
and
understand
changes.
Owing
the
advances
in
Internet
Things
wearable
technologies,
monitoring
under
free-living
conditions
has
become
feasible
practicable.
Smart
rings
smartwatches
can
be
employed
perform
mid-
or
long-term
home-based
monitoring.
However,
validity
such
wearables
should
investigated
terms
parameters.
Sleep
validation
studies
are
mostly
limited
short-term
laboratory
tests;
there
a
need
for
study
assess
attributes
everyday
settings,
where
users
engage
their
daily
routines.
Objective
This
aims
evaluate
parameters
Oura
ring
along
with
Samsung
Gear
Sport
watch
comparison
medically
approved
actigraphy
device
midterm
setting,
Methods
We
conducted
which
45
healthy
individuals
(23
women
22
men)
were
tracked
7
days.
Total
time
(TST),
efficiency
(SE),
wake
after
onset
(WASO)
assessed
using
paired
t
tests,
Bland-Altman
plots,
Pearson
correlation.
The
also
considering
gender
participants
as
dependent
variable.
Results
found
significant
correlations
between
ring’s
actigraphy’s
TST
(r=0.86;
P<.001),
WASO
(r=0.41;
SE
(r=0.47;
P<.001).
Comparing
showed
correlation
(r=0.59;
mean
differences
TST,
WASO,
within
satisfactory
ranges,
although
(P<.001);
ranges
watch,
was
slightly
higher
than
range
(31.27,
SD
35.15).
considerably
those
ring.
difference
(P<.001)
female
male
groups.
Conclusions
In
sample
population
adults,
both
have
acceptable
indicate
actigraphy,
but
outperforms
nonstaging
Nature and Science of Sleep,
Journal Year:
2021,
Volume and Issue:
Volume 13, P. 841 - 862
Published: June 1, 2021
Purpose:
The
objective
of
this
systematic
review
was
to
1)
determine
how
studies
evaluated
napping
behavior
in
athletes
(frequency,
duration,
timing
and
measurement);
2)
explore
impacted
physical
performance,
cognitive
perceptual
measures
(eg,
fatigue,
muscle
soreness,
sleepiness
alertness),
psychological
state
night-time
sleep
athletes.
Methods:
Five
bibliographic
databases
were
searched
from
database
inception
11
August
2020.
Observational
experimental
comprising
able-bodied
(mean
age
≥
12
years),
published
English,
peer-reviewed
journal
papers
included.
Downs
Black
Quality
Assessment
Checklist
used
for
quality
appraisal.
Results:
Thirty-seven
identified
moderate
quality.
Most
did
not
include
consistent
information
regarding
nap
frequency,
timing.
Napping
may
be
beneficial
a
range
outcomes
that
benefit
measures,
sleep).
In
addition,
presents
with
the
opportunity
supplement
their
without
compromising
Conclusion:
Athletes
consider
between
20
90
min
duration
13:00
16:00
hours.
Finally,
should
allow
30
reduce
inertia
prior
training
or
competition
obtain
better
performance
outcomes.
Future
comprehensive
recordings
quality,
using
over
24
hour
period
(daytime
naps
period),
specifically
methods
assessment
polysomnography/actigraphy).
Keywords:
athlete,
health
behavior,
health,
sleep,
sports
PLoS ONE,
Journal Year:
2021,
Volume and Issue:
16(6), P. e0253376 - e0253376
Published: June 17, 2021
Previous
research
shows
that
female
athletes
sleep
better
according
to
objective
parameters
but
report
worse
subjective
quality
than
male
athletes.
However,
existing
studies
did
not
investigate
variations
in
and
stages
over
longer
periods
have,
so
far,
elucidated
the
role
of
menstrual
cycle
athletes’
sleep.
To
address
these
methodological
shortcomings,
we
investigated
sex
differences
61
continuous
days
37
men
19
women
examined
its
phases
15
women.
Sleep
was
measured
by
a
non-contact
radar,
bleeding
self-reported.
Associations
were
with
multilevel
modeling.
Overall,
tended
poorer
(
p
=
.057),
measurements
showed
obtained
duration
<
.001),
more
light
.013)
rapid
eye
movement
(REM;
hours
(h):
.001,
%:
.007),
shorter
REM
latency
higher
efficiency
.003)
men.
R
2
values
duration,
especially
affected
sex.
Among
women,
found
time
bed
.027)
deep
(h:
.036),
(%:
.021)
during
vs.
non-bleeding
days;
less
.040),
.011)
pre-menstrual
phase;
lower
.042)
.026)
follicular
luteal
phase.
These
findings
indicate
may
impact
need
for
physiological
recovery,
as
evidenced
stage
variations.
Altogether,
observed
be
related
cycle.
The
paper
provides
unique
data
novel
insights
into
among
Brain Sciences,
Journal Year:
2023,
Volume and Issue:
13(2), P. 238 - 238
Published: Jan. 31, 2023
Quantifying
athlete
sleep
patterns
may
inform
development
of
optimal
training
schedules
and
strategies,
considering
the
competitive
challenges
faced
across
season.
Therefore,
this
study
comprehensively
quantified
a
female
basketball
team
examined
variations
in
between
nights.
Seven
semi-professional,
players
had
their
monitored
using
wrist-worn
activity
monitors
perceptual
ratings
during
13-week
in-season.
Sleep
variables
were
compared
different
nights
(control
nights,
before
games,
non-congested
game
congested
nights),
generalized
linear
mixed
models,
as
well
Cohen’s
d
odds
ratios
effect
sizes.
Players
experienced
less
on
games
to
control
(p
<
0.05,
=
0.43–0.69).
also
exhibited
later
onset
times
0.01,
0.68),
earlier
offset
following
all
other
0.74–0.79).
Moreover,
attaining
better
perceived
quality
was
88%
lower
than
0.001).
While
attained
an
adequate
duration
(7.3
±
0.3
h)
efficiency
(85
2%)
average
in-season,
they
susceptible
poor
games.
Although
limited
team-based
case
series
design,
these
findings
suggest
coaches
need
reconsider
scheduling
team-based,
on-court
sessions
prior
consider
implementing
suitable
psychological
recovery
strategies
around
optimize
player
sleep.
Frontiers in Sports and Active Living,
Journal Year:
2021,
Volume and Issue:
3
Published: Sept. 10, 2021
University
athletes
are
unique
because
they
not
only
have
to
cope
with
the
normal
psycho-physiological
stress
of
training
and
playing
sport,
but
also
need
accommodate
associated
their
academic
studies
along
considerable
from
social
environment.
The
ability
manage
adapt
ultimately
helps
improve
athletic
performance,
when
becomes
too
much
for
athlete,
it
can
result
in
maladaptation's
including
sleep
disruption
which
is
performance
loss,
negative
mood
changes,
even
injury
or
illness.
This
research
aimed
determine
if
quantity
quality
were
maladaptation
university
athletes.
We
examined
subjective
measures
duration
state,
energy
levels,
stress,
quantity,
frequency
illness
82
young
(18–23
years)
elite
over
a
1
year
period
2020.
Results
indicate
decreased
first
few
weeks
coincided
increased
training,
stress.
Regression
analysis
indicated
levels
perceived
(1.3,
1.1–1.5,
Odds
Ratio
95%
confidence
limits),
(2.9,
2.5–3.3),
(1.2,
1.0–1.4),
1.1–1.5),
improved
(1.1,
1.0–1.3)
≥8
h
sleep.
Athletes
that
slept
had
higher
less
likely
suffer
injury/illness
(0.8,
0.7–0.9,
0.6,
0.5–0.7
quality,
respectively).
In
conclusion,
who
maintain
good
habits
(sleep
h/night
high
scores)
problems
elevated
levels.
Educating
athletes,
coaches,
trainers
signs
symptoms
excessive
(including
deprivation)
may
help
reduce
athlete's
outcomes.
Journal of Sports Sciences,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 10
Published: Jan. 20, 2025
This
study
aimed
to
examine
the
sleep
parameters
and
sleep/wake
regularity
of
a
cohort
student-athletes
who
start
training
between
06:30
07:00.
Twenty-one
male
Rugby
Union
players,
aged
21
±
2
years
competing
at
national
level,
were
assessed
using
actigraphy
over
two
weeks,
Athlete
Sleep
Screening
Questionnaire
(ASSQ).
Sleep/wake
was
calculated
Regularity
Index
(SRI).
Wilcoxon
signed-rank
tests
showed
that
nocturnal
preceding
morning
had
significantly
shorter
duration
(1.8
hr,
r
=
.67),
advanced
onset
(0.9
.50)
offset
times
(3.2
.85)
compared
free
days.
The
variability
demands
resulted
in
an
inconsistent
pattern
consecutive
days,
resulting
median
SRI
score
67.0
(interquartile
range:
17.0).
Pearson
correlations
revealed
lower
associated
with
higher
daily
including
naps
(r
-.62),
delayed
-.50)
-.60),
later
chronotype
ASSQ
.52).
These
findings
indicate
early
is
factor
contributing
irregular
patterns
student-athletes,
where
feasible
should
be
scheduled
alternative
time.