Large-scale digital phenotyping: Identifying depression and anxiety indicators in a general UK population with over 10,000 participants
Journal of Affective Disorders,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
Язык: Английский
Sleep disparities in the United States: comparison of logistic and linear regression with stratification by race
Sleep Epidemiology,
Год журнала:
2025,
Номер
unknown, С. 100106 - 100106
Опубликована: Янв. 1, 2025
Язык: Английский
Wearable Device–Based Intervention for Promoting Patient Physical Activity After Lung Cancer Surgery
JAMA Network Open,
Год журнала:
2024,
Номер
7(9), С. e2434180 - e2434180
Опубликована: Сен. 20, 2024
Importance
Emerging
evidence
suggests
that
wearable
devices
are
feasible
for
monitoring
physical
activity
among
patients
with
lung
cancer.
However,
the
association
between
and
improvement
in
patient
recovery
after
surgery
remains
underexplored.
Objective
To
evaluate
effects
of
a
device
intervention
on
activity,
cardiopulmonary
function,
health-related
quality
life
(HRQOL)
cancer
surgery.
Design,
Setting,
Participants
This
nonrandomized
clinical
trial
historical
control
was
conducted
at
single
tertiary
center
(Samsung
Comprehensive
Cancer
Center)
Seoul,
South
Korea,
October
18,
2018,
May
24,
2019.
Patients
were
included
if
they
had
suspected
or
confirmed
non–small
cell
scheduled
curative
more
extensive
than
lobectomy
an
Eastern
Cooperative
Oncology
Group
status
0
1.
compared
participants
from
data
collected
September
20,
2017,
10,
as
part
Coordinated
Approach
to
Patients’
Health
Lung
(CATCH-LUNG)
prospective
cohort
study.
Data
analysis
performed
June
21
July
16,
2020.
Intervention
A
personalized
exercise
regimen
monitored
via
administered
home
3
stages:
preoperative
(from
diagnosis
surgery),
immediate
discharge
2
months
later
postoperative
6
surgery).
Control
received
usual
care.
Main
Outcomes
Measures
The
primary
outcome
co–primary
surgery,
measured
6-minute
walking
distance
(6MWD)
number
daily
steps,
using
linear
regression
model.
Secondary
outcomes
changes
HRQOL,
including
function
symptoms
baseline
weeks
Additionally,
(number
steps
time
spent
moderate-to-vigorous
[MVPA])
(time
MVPA)
assessed
secondary
outcomes.
Results
74
group
(mean
[SD]
age,
60.4
[8.7]
years;
31
[41.9%]
men
43
[58.1%]
women)
120
60.2
65
[54.2%]
55
[45.8%]
women).
Daily
MVPA,
6MWD
decreased
initially
but
increased
thereafter.
larger
decrease
(−4877
[95%
CI,
−5861
−3893]
vs
−1753
−2968
−539]
steps)
By
their
by
2220
(95%
1006
3435)
baseline,
whereas
did
not
return
steps.
significantly
(12
321
8749-15
761]
10
118
7341-13
420];
P
=
.007)
greater
vigorous
(33.6
13.5
59.8]
18.5
[5.7
40.8]
minutes;
.003)
group.
No
difference
found.
better
patient-reported
score,
82.2
[17.3]
76.9
[17.5];
.04),
less
dyspnea
24.8
[27.1]
34.5
[31.6];
.03),
pain
21.4
[20.2]
30.1
[26.8];
.01)
5.4[12.4]
12[23.3];
Conclusions
Relevance
In
this
trial,
integration
perioperative
interventions
improved
(especially
finding
promising
role
personalizing
rehabilitation
strategies.
Trial
Registration
ClinicalTrials.gov
Identifier:
NCT03215537
Язык: Английский
From wearable sensor data to digital biomarker development: ten lessons learned and a framework proposal
npj Digital Medicine,
Год журнала:
2024,
Номер
7(1)
Опубликована: Июнь 18, 2024
Wearable
sensor
technologies
are
becoming
increasingly
relevant
in
health
research,
particularly
the
context
of
chronic
disease
management.
They
generate
real-time
data
that
can
be
translated
into
digital
biomarkers,
which
provide
insights
our
and
well-being.
Scientific
methods
to
collect,
interpret,
analyze,
translate
from
wearables
biomarkers
vary,
systematic
approaches
guide
these
processes
currently
lacking.
This
paper
is
based
on
an
observational,
longitudinal
cohort
study,
BarKA-MS,
collected
wearable
physical
rehabilitation
people
living
with
multiple
sclerosis
(MS).
Based
experience
we
discuss
ten
lessons
learned
relation
biomarker
development
across
key
study
phases.
We
then
summarize
a
guiding
framework
(DACIA)
aims
informs
use
for
management
future
research
teaching.
Язык: Английский
Digital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associations
Cell,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 1, 2024
Язык: Английский
Data from the All of Us research program reinforces existence of activity inequality
npj Digital Medicine,
Год журнала:
2025,
Номер
8(1)
Опубликована: Янв. 4, 2025
Large-scale
and
detailed
analyses
of
activity
in
the
United
States
(US)
remain
limited.
In
this
work,
we
leveraged
comprehensive
wearable,
demographic,
survey
data
from
All
Us
Research
Program,
largest
most
diverse
population
health
study
US
to
date,
apply
extend
previous
global
findings
on
inequality
within
context
US.
We
found
that
daily
steps
differed
by
sex
at
birth,
age,
body
characteristics,
geography,
built
environment.
Quantifying
using
modified
Gini
index,
a
strong
correlation
with
obesity
prevalence
(R2
=
0.804)
moderate
perceived
walkability
0.426)
gender
gap
0.385).
This
demonstrates
value
digital
technologies
exploring
understanding
public
practices
while
highlighting
need
examine
complexities,
including
biopsychosocial
factors
may
contribute
inequality.
Язык: Английский
'If It Doesn't Work for Me as a Researcher, Let Alone Others' : Understanding Wellbeing Through an Autoethnography of Wearable and Non-Wearable Technologies
Опубликована: Апрель 23, 2025
Язык: Английский
A framework for remotely enabled co-design with young people: its development and application with neurodiverse children and their caregivers
Frontiers in Psychiatry,
Год журнала:
2024,
Номер
15
Опубликована: Авг. 16, 2024
This
paper
describes
an
innovative
Framework
for
Remotely
Enabled
Co-Design
with
Young
people
(FREDY),
which
details
adaptable
four-stage
process
generating
design
concepts
children
and
other
key
stakeholders
in
a
naturalistic
inclusive
way.
Язык: Английский
The Moderating Effect of Atypical Events on the Relationship between Heart Rate and Stress in Medical Residents working in an ICU: Exploratory Study (Preprint)
Опубликована: Окт. 21, 2024
BACKGROUND
Residency
is
a
critical
period
in
physician’s
training,
characterized
by
significant
physical,
cognitive,
and
emotional
demands
that
make
residents
highly
susceptible
to
stress
associated
negative
health
outcomes.
While
physiological
signals
like
heart
rate
have
been
explored
as
potential
biomarkers
of
stress,
their
predictive
utility
high-stress
environments
such
the
intensive
care
unit
(ICU)
remains
inconclusive,
especially
when
factoring
atypical
events
can
further
exacerbate
resident
levels.
OBJECTIVE
This
study
aimed
investigate
relationship
between
daily
average
(AHR)
perceived
among
ICU
examine
moderating
effect
on
this
relationship.
METHODS
The
TILES-2019
dataset
collected
longitudinal
data
from
44
who
provided
self-reported
ratings
wore
Fitbit
device
track
over
3-week
period.
main
predictor
variables
were
AHR
occurrence
(both
work/life
related
hassles).
primary
outcome
was
level
measured
7-point
Likert
scale.
Linear
mixed
models
(LMM)
used
analyze
accounting
for
within-subject
between-subject
variance.
Interaction
effects
also
examined.
RESULTS
analysis
revealed
positive
association
(β
=
0.032,
P
.04).
However,
attenuated
presence
-0.076,
.20).
We
analyzed
whether
severity
had
an
additional
but
found
no
statistical
significance.
CONCLUSIONS
marker
its
moderated
events.
Future
research
should
replicate
these
findings
more
diverse
cohorts,
assess
generalizability
broader
populations,
control
confounding
variables.
Incorporating
assessment
could
lead
accurate
context-sensitive
interpretations
data.
Язык: Английский
Relationship between physical activity and biomarkers of pathology and neuroinflammation in preclinical autosomal‐dominant Alzheimer's disease
Alzheimer s & Dementia Translational Research & Clinical Interventions,
Год журнала:
2024,
Номер
10(4)
Опубликована: Окт. 1, 2024
Язык: Английский