Digital sleep phenotype and wrist actigraphy in individuals at clinical high risk for psychosis and people with schizophrenia spectrum disorders: a systematic review and meta-analysis
BMJ Mental Health,
Год журнала:
2025,
Номер
28(1), С. e301337 - e301337
Опубликована: Фев. 1, 2025
Aim
To
identify
sleep
abnormalities
in
individuals
at
clinical
high
risk
for
psychosis
(CHR-P)
or
with
schizophrenia
spectrum
disorders
(SSDs)
compared
healthy
controls
(HCs)
using
wrist
actigraphy,
and
to
assess
potential
differences
the
direction
of
effect
self-reported
assessments
sleep.
Methods
We
conducted
a
systematic
review
observational
studies,
search
last
updated
on
29
April
2024.
Primary
outcome
was
total
time
(TST),
secondary
outcomes
including
bed
(TIB),
latency,
efficiency,
wake
after
onset,
nighttime
awakenings
quality.
Random-effects
pairwise
meta-analyses
were
used
summarise
effects
each
outcome.
Results
Nineteen
studies
included,
18
contributing
(202
CHR-P,
584
SSD,
582
HC).
TST
results
inconclusive
CHR-P
(MD
−4.88
min
(95%
CI
−20.57
10.81)),
while
SSD
participants
showed
an
increase
HC
106.13
(86.02
124.24)).
Factors
such
as
antipsychotic
medications
(pseudo-R²=88.14%),
age
(38.89%)
gender
(26.29%)
partially
explained
heterogeneity
between
subgroups.
Additionally,
exhibited
reduced
efficiency
−2.04%
(−3.55
0.53)),
whereas
had
increased
TIB
121.58
(88.16
155.00))
latency
13.05
(2.11
24.00)).
The
risk-of-bias
assessment
ranged
from
some
concerns
.
Conclusions
Our
analyses
identified
placebo.
However,
observed
biases
across
may
limit
interpretability
findings.
These
limitations
underscore
need
standardised
guidelines
more
precise
participant
stratification.
Язык: Английский
Exploring actigraphy as a digital phenotyping measure: A study on differentiating psychomotor agitation and retardation in depression
Acta Psychiatrica Scandinavica,
Год журнала:
2024,
Номер
151(3), С. 401 - 411
Опубликована: Июль 19, 2024
Psychomotor
activity
stands
out
as
a
crucial
symptom
in
characterizing
behaviors
associated
with
depression.
This
study
aims
to
explore
the
potential
of
actigraphy
tool
for
digital
phenotyping
symptoms
psychomotor
agitation
and
retardation,
which
are
clinically
challenging
dimensions
capture,
patients
diagnosed
major
depressive
episode
(MDE)
according
DSM-5
criteria.
We
compared
rest-activity
circadian
rhythm
biomarkers
measured
by
Motion
Watch
8
between
58
(78.4%)
MDE
retardation
(PMR),
16
(21.6%)
(PMA),
Actigraphy
allowed
objectively
report
PMA
through
heightened
over
24-h
period,
while
PMR
manifests
reduced
during
most
active
10
h.
Lower
(RAR)
amplitude
was
accompanied
increased
irregularities
intra-
inter-day
rhythms.
Interestingly,
emerges
an
objective
measure
characteristics
rest
periods,
free
from
confounding
effects
sleep
disturbances.
Indeed,
no
differences
disturbances
were
identified
exhibiting
those
displaying
PMR.
Digital
may
aid
distinguishing
allowing
more
precise
characterization
depression
phenotype.
When
integrated
clinical
assessment,
measurements
could
offer
additional
insights
into
rhythms
alongside
subjective
assessments
hold
augment
existing
decision-making
processes
psychiatry.
Язык: Английский