Wearables in Chronomedicine and Interpretation of Circadian Health
Denis Gubin,
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Dietmar Weinert,
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Oliver Stefani
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et al.
Diagnostics,
Journal Year:
2025,
Volume and Issue:
15(3), P. 327 - 327
Published: Jan. 30, 2025
Wearable
devices
have
gained
increasing
attention
for
use
in
multifunctional
applications
related
to
health
monitoring,
particularly
research
of
the
circadian
rhythms
cognitive
functions
and
metabolic
processes.
In
this
comprehensive
review,
we
encompass
how
wearables
can
be
used
study
disease.
We
highlight
importance
these
as
markers
well-being
potential
predictors
outcomes.
focus
on
wearable
technologies
sleep
research,
medicine,
chronomedicine
beyond
domain
emphasize
actigraphy
a
validated
tool
monitoring
sleep,
activity,
light
exposure.
discuss
various
mathematical
methods
currently
analyze
actigraphic
data,
such
parametric
non-parametric
approaches,
linear,
non-linear,
neural
network-based
applied
quantify
non-circadian
variability.
also
introduce
novel
actigraphy-derived
markers,
which
personalized
proxies
status,
assisting
discriminating
between
disease,
offering
insights
into
neurobehavioral
status.
lifestyle
factors
physical
activity
exposure
modulate
brain
health.
establishing
reference
standards
measures
further
refine
data
interpretation
improve
clinical
The
review
calls
existing
tools
methods,
deepen
our
understanding
health,
develop
healthcare
strategies.
Language: Английский
Light Exposure, Physical Activity, and Indigeneity Modulate Seasonal Variation in NR1D1 (REV-ERBα) Expression
Biology,
Journal Year:
2025,
Volume and Issue:
14(3), P. 231 - 231
Published: Feb. 25, 2025
Nuclear
receptor
subfamily
1
group
D
member
(NR1D1
or
REV-ERBα)
is
a
crucial
element
of
the
circadian
clock’s
transcriptional
and
translational
feedback
loop.
Understanding
its
expression
in
humans
critical
for
elucidating
role
rhythms
metabolic
processes,
finding
potential
links
to
various
pathologies.
In
longitudinal
survey,
we
examined
REV-ERBα
at
08:00
using
real-time
polymerase
chain
reaction
(qRT-PCR)
blood
mononuclear
cells
from
Arctic
native
non-native
residents
during
equinoxes
solstices.
exhibited
pronounced
seasonality,
peaking
summer
solstice,
reaching
nadir
winter
solstice
both
natives
non-natives,
with
relatively
higher
peak
natives.
After
adjusting
age,
sex,
body
mass
index,
amount
timing
light
exposure,
physical
activity,
indigeneity
emerged
as
significant
predictors
expression.
Language: Английский
Factors of depression according to actigraphy in the fall season
Denis Gubin,
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Yu. V. Boldyreva,
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Sergey Kolomeichuk
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et al.
S S Korsakov Journal of Neurology and Psychiatry,
Journal Year:
2025,
Volume and Issue:
125(5), P. 27 - 27
Published: May 15, 2025
Objective.
To
evaluate
the
relationship
between
sleep
parameters,
physical
activity,
and
illumination
obtained
by
weekly
actigraphy
depression
symptoms
measured
Beck
Depression
Inventory
(BDI-II)
in
young
adults
fall
season.
Material
methods.
The
crossover
study,
conducted
during
one
month,
included
122
(mean
age
24.40
years,
76.6%
females)
from
Tyumen
(Russia).
Participants
were
monitored
for
seven
days
using
completed
Russian
version
of
BDI-II
questionnaire
to
assess
depressive
symptoms.
Actigraphy
data
analyzed
quantitative
qualitative
dynamic
illumination,
circadian
rhythm
motor
activity.
Both
mean
values
regularity
indicators
recorded.
Statistical
analysis
was
performed
linear
multiple
regression
methods,
Benjamini—Hochberg
procedure
control
incidence
false
correlations
associated
with
testing.
Results.
showed
significant
various
actigraphic
level
according
BDI-II.
In
particular,
integral
score
significantly
a
decrease
amplitude
activity
(PIM
A:
–0.258;
p=0.005),
high
instability
efficiency
(SL_EFF
SD:
–0.323;
p=0.0003),
standard
deviation
moment
awakening
(WT
inter-day
stability
(IS:
–0.260;
p=0.004),
lower
light
hygiene
index
(NA_bl:
–0.193;
p=0.036).
After
comparison
adjustments,
low
PIM
A,
reduced
(IS),
increased
WT
SD,
SL_EFF
SD
remained
predictors
age-,
sex-,
body
mass
(BMI)-adjusted
regression,
(β=–0.258;
p=0.006),
(β=–0.302;
p=0.0006),
IS
(β=–0.225;
p=0.013)
factors.
Conclusion.
indicate
complex
dynamics
mental
health
context
They
emphasize
critical
importance
parameters
that
as
markers
biological
clock
synchrony
increase
informative
value
improve
interpretation
wearable
devices.
Language: Английский