UNSTRUCTURED
The
use
of
artificial
intelligence
(AI)
to
assist
with
the
prevention,
identification,
and
management
eating
disorders
body
image
concerns
is
exciting,
but
it
not
without
risk.
Technology
advancing
rapidly,
ensuring
that
responsible
standards
are
in
place
mitigate
risk
protect
users
vital
success
safety
technologies
users.
Journal of Medical Internet Research,
Год журнала:
2023,
Номер
25, С. e50696 - e50696
Опубликована: Авг. 14, 2023
The
use
of
artificial
intelligence
(AI)
to
assist
with
the
prevention,
identification,
and
management
eating
disorders
body
image
concerns
is
exciting,
but
it
not
without
risk.
Technology
advancing
rapidly,
ensuring
that
responsible
standards
are
in
place
mitigate
risk
protect
users
vital
success
safety
technologies
users.
Frontiers in Digital Health,
Год журнала:
2025,
Номер
7
Опубликована: Апрель 17, 2025
Digital
health
interventions
(DHIs)
hold
promise
for
improving
the
reach
of
mental
care
adolescents,
particularly
those
from
under-resourced
communities
who
may
face
significant
barriers
to
accessing
in-person
care.
Yet,
low
engagement
and
uptake
have
challenged
DHIs’
potency.
Human-centered
design
(HCD)
integrates
end-users
(i.e.,
future
users
DHI)
into
iterative
processes,
thereby
prioritizing
their
needs
preferences.
Clinical
scientists
are
increasingly
embracing
HCD,
but
often
lack
expertise
in
how
apply
these
methods
practice.
We
provide
a
template
creating
session
interview
guide
assessment,
which
is
first
phase
our
HCD
process
DHI
dysregulated
eating
adolescents.
To
create
guide,
we
conducted
“needs
assessment”
within
team
identify
important
topic
areas
that
required
feedback
adolescents
(“investigate”).
then
consolidated
ideas
structured
domains
through
brainstorming
(“ideate”),
resulted
an
initial
draft
(“prototype”).
Next,
piloted
prototype
with
members
technology-savvy
adolescent
(“evaluate”)
refine
it
prior
administration
target
audience
(“refine
develop”).
Our
internal
assessment
identified
needed
learn
adolescents’
preferences
technology
(e.g.,
desired
features),
clinical
content
specialized
support),
delivery
coaching),
developmental
relevance
focus
on
self-regulation).
organized
topics
six
domains:
experiences
current
help-seeking
behaviors,
major
challenges
impact
eating,
preferred
intervention
features
skills,
coaching
support,
potential
role
sensors
assess
activity
aesthetics
brand.
created
relevant
prompts
each
domain,
revised,
reordered
them
elicit
more
comprehensive
responses
during
administration.
practiced
administering
internally
amongst
team,
non-participant
volunteer.
Using
semi-structured
will
be
administered
upcoming
continue
evolve
as
This
case
example
unpacks
iterating
could
applied
across
domains.
Internet Interventions,
Год журнала:
2023,
Номер
34, С. 100677 - 100677
Опубликована: Сен. 28, 2023
As
digital
mental
health
interventions
(DMHIs)
proliferate,
there
is
a
growing
need
to
understand
the
complexities
of
moving
these
tools
from
concept
and
design
service-ready
products.
We
highlight
five
case
studies
center
that
specializes
in
evaluation
illustrate
pragmatic
approaches
development
interventions,
make
transparent
some
key
decision
points
researchers
encounter
along
design-to-product
pipeline.
Case
cover
different
process
focus
on
partnership
building,
understanding
problem
or
opportunity,
prototyping
product
service,
testing
service.
lessons
learned
offer
series
questions
can
use
navigate
intervention
(DMHI)
process.
Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity,
Год журнала:
2024,
Номер
29(1)
Опубликована: Апрель 12, 2024
Abstract
Purpose
Perfectionism
is
a
transdiagnostic
risk
factor
for
eating
disorders.
Treating
perfectionism
can
reduce
symptoms
of
No
research
has
examined
an
indicated
prevention
trial
using
internet-based
Cognitive-Behavioural
Therapy
(ICBT-P)
in
adolescent
girls
at
elevated
Our
aim
was
to
conduct
preliminary
feasibility
co-designed
ICBT-P
intervention.
It
hypothesised
that
higher
proportion
participants
the
condition
would
achieve
reliable
and
clinically
significant
change
on
perfectionism,
disorders,
anxiety
depression,
compared
waitlist
control.
Methods
Twenty-one
with
disorders
(
M
age
=
16.14
years)
were
randomised
4-week
online
program
or
Qualitative
surveys
used
gain
participant
perspectives.
Results
The
had
classified
as
recovered
anxiety,
findings
100%
found
helpful.
Conclusion
results
indicate
feasible
acceptable
disorder
symptoms.
Future
required
examine
outcomes
controlled
trial.
Level
evidence
III:
Evidence
obtained
from
well-designed
cohort
case–control
analytic
studies.
Trial
registration
number
This
prospectively
registered
Australian
New
Zealand
Clinical
Trials
Registry
(ACTRN12620000951954P)
23/09/2020.
International Journal of Eating Disorders,
Год журнала:
2024,
Номер
57(11), С. 2278 - 2284
Опубликована: Июль 15, 2024
Dialectical
behavior
therapy
(DBT)
is
an
evidence-based
treatment
for
disorders
characterized
by
recurrent
binge
eating.
Yet,
access
to
specialized
like
DBT
remains
limited.
To
increase
the
accessibility
of
DBT,
we
developed
a
skills
training
app
(Resilience:
eDBT)
management
eating
disorder
(ED)
symptoms.
This
paper
delineates
developmental
process
Resilience
and
tests
its
usability.
Nutrients,
Год журнала:
2024,
Номер
16(17), С. 2905 - 2905
Опубликована: Авг. 30, 2024
Disordered
eating
is
a
significant
issue
in
university
student
populations.
Currently,
access
to
interventions
limited.
Online
present
an
innovative
way
increase
accessibility
treatment
for
those
need.
The
current
study
explored
how
online
intervention
disordered
(everyBody)
could
be
modified
suit
the
needs
of
students
Aotearoa
New
Zealand.
Zealand
unique
cultural
context,
with
indigenous
population
that
has
high
incidence
rate
eating,
highlighting
need
adapt
everyBody
local
context.
Individual
interviews
were
conducted
nine
currently
at
Zealand,
aged
between
18
and
33
years
old
(five
females,
four
males).
Three
first-order
themes
identified
using
template
analysis.
indicate
participants
perceived
programme
as
acceptable
feasible
use
Zealand’s
population.
Furthermore,
provide
insight
into
potential
adaptions
facilitate
engagement
uptake.
suggested
changes
largely
consistent
previous
research
on
E-therapy
design
(e.g.,
content
length,
therapeutic
alliance),
also
highlight
specific
fit
findings
have
implications
universities
other
funders
deciding
services
disorders.
Journal of Eating Disorders,
Год журнала:
2024,
Номер
12(1)
Опубликована: Ноя. 14, 2024
Abstract
Background
Co-production
is
increasingly
used
in
mental
health
research
and
clinical
settings.
Maze
Out
a
digital
game
co-produced
by
clinicians,
patients
with
eating
disorders
(EDs),
an
art
director
lived
experience
EDs,
game-developing
company.
based
on
everyday
challenges
when
suffering
from
EDs
currently
being
evaluated
as
supplement
tool
treatment.
Several
studies
co-producing
interventions
focus
design
effectiveness,
but
the
experiences
of
those
involved
co-production
process
remain
unexplored.
An
in-depth
exploration
stakeholders’
offers
valuable
insights
into
impact
different
groups
generates
crucial
knowledge
for
successful
implementation.
Objectives
This
study
explored
meaning
that
patients,
designers
attributed
to
their
participation
Out.
The
objectives
were
determine
(1)
how
stakeholders
experienced
collaboration
Out.;
(2)
what
extent
developing
followed
Cahn’s
principles
equality,
diversity,
accessibility,
reciprocity.
Methods
Five
(two
two
designer)
who
participated
completed
semi-structured
interviews.
Two
one
clinician’s
diaries
supplemented
Reflexive
thematic
analysis
was
interpret
data.
Results
results
this
highlight
importance
building
common
language
between
other
professionals
new
forms
treatment
interventions.
A
recommendation
researchers
clinicians
implement
future
principles:
reciprocity,
serve
strong
foundation
co-production.
In
study,
three
partially
four
about
identified:
accessibility.
When
applied
ED
context,
these
provided
insights,
enriching
practice-based
knowledge,
using
applicable
practice,
demonstrating
role
fostering
effective
processes.
BACKGROUND
Engagement
with
digital
mental
health
interventions
is
often
measured
as
a
summary-level
variable
and
remains
under-researched
despite
its
importance
for
meaningful
symptom
change.
OBJECTIVE
The
current
study
deepens
understanding
of
engagement
in
eating
disorder
intervention
by
measuring
unique
components
the
app,
on
two
different
devices
(phone
watch),
at
summary-level.
METHODS
Participants
binge-eating
behavior
were
recruited
part
Binge
Eating
Genetics
Initiative
(BEGIN
study)
to
use
4
weeks.
Demographic
severity
illness
variables
captured
baseline
survey
enrollment,
data
through
both
an
iPhone
Apple
Watch
version
intervention.
was
characterized
log
type
(urge,
behavior,
mood,
or
meal),
device
(logs
phone
overall
usage
(total
logs)
averaged
each
week
four
Descriptives
tabulated
demographic
variables,
multilevel
growth
models
conducted
measure
characteristics
time
predictors.
RESULTS
(n=893)
self-reported
primarily
White
(n=743,
85.3%),
non-Hispanic
(n=92;
10.3%),
females
(n=772,
86.5%)
mean
age
29.6
years
(SD=7.4)
BMI
32.5
kg/m2
(SD=9.8)
used
app
24
days.
Most
logs
phones
(96%),
mood
most
component
(62%
logs).
All
measures
declined
over
time,
illustrated
visualizations,
but
participant
trajectories
time.
Time
significant
negative
predictor
every
model.
Sex
ethnicity
also
predictors
across
several
engagement,
female
participants
demonstrating
greater
than
male
Hispanic
counterparts.
Other
(age,
BMI,
binge
episodes
past
28
days)
one
each.
CONCLUSIONS
This
highlighted
that
far
more
complex
nuanced
typically
described
research,
specific
mode
delivery
may
have
profiles
Future
work
would
benefit
from
developing
early
informed
predict
outcomes,
thereby
tailoring
individual
level.
INTERNATIONAL
REGISTERED
REPORT
RR2-10.1186/s12888-020-02698-7
