Real-World Life Analysis of a Continuous Glucose Monitoring and Smart Insulin Pen System in Type 1 Diabetes: A Cohort Study
Diabetology,
Journal Year:
2025,
Volume and Issue:
6(1), P. 7 - 7
Published: Jan. 16, 2025
Background:
Diabetes
affects
over
460
million
people
worldwide
and
represents
a
growing
public
health
challenge
driven
largely
by
dietary
lifestyle
factors.
While
Type
2
diabetes
(T2D)
is
more
prevalent,
1
(T1D)
presents
unique
therapeutic
challenges,
particularly
in
younger
individuals.
Advances
management,
such
as
continuous
glucose
monitoring
(CGM),
insulin
pumps
(IP),
and,
recently,
smart
multiple
dose
injection
(MDI)
pens,
have
significantly
enhanced
glycemic
control
improved
patients’
quality
of
life.
Aim:
This
study
aims
to
evaluate
the
baseline
characteristics
patients
switching
from
MDI
therapy
Medtronic
Smart
system
[composed
pen
(InPenTM)
connected
CGM
SimpleraTM
sensor]
assess
its
impact
on
outcomes
different
time
periods
(14,
30,
90
days).
Methods:
A
retrospective
observational
was
conducted
among
adults
with
T1D
who
initiated
therapy.
Participants
were
enrolled
voluntarily
at
Nutrition
Clinic
Ast
Fermo,
Marche
Region,
Italy.
Glycemic
parameters
monitored
using
data
analyzed
descriptive
statistics,
including
mean,
standard
deviation
(SD),
interquartile
range
(IQR).
Comparisons
across
performed
Wilcoxon
signed-rank
test,
statistical
significance
set
p
<
0.05.
Results:
included
21
participants
mean
age
51.5
years,
BMI
24.7,
duration
21.9
years.
The
transition
traditional
resulted
significant
improvements
key
parameters:
Sensor
Glucose
(SG)
decreased
171.0
mg/dL
153.5
(p
=
0.035),
Time
In
Range
(TIR)
increased
58.0%
64.4%
0.005),
above
(TAR;
>180
mg/dL)
39.0%
34.2%
0.015).
No
differences
observed
below
(TBR).
Conclusions:
lowering
levels
increasing
TIR.
These
findings
highlight
efficacy
improving
hyperglycemia
management
while
maintaining
stable
risk
hypoglycemia.
Language: Английский
The Relationship Between Quality of Life, Diabetes Distress, and Metabolic Control in Hungarian Type 1 Diabetic Patients: A Cross-Sectional Study
Diabetology,
Journal Year:
2025,
Volume and Issue:
6(3), P. 19 - 19
Published: March 11, 2025
Background:
Diabetes-related
distress
(DD)
significantly
impacts
self-management
and
quality
of
life
(QoL)
in
individuals
with
type
1
diabetes
(T1D).
While
previous
research
has
established
a
strong
link
between
DD
glycemic
control
2
diabetes,
the
relationship
remains
less
consistent
T1D.
Additionally,
continuous
glucose
monitoring
(CGM)
been
shown
to
improve
outcomes,
yet
its
effects
on
QoL
are
still
debated.
This
study
aimed
examine
DD,
efficacy
(SME),
T1D,
incorporating
both
physiological
behavioral
indicators.
Furthermore,
differences
CGM-users
non-users
were
investigated.
Methods:
A
cross-sectional
including
108
T1D
patients
was
conducted.
Participants
completed
several
validated
self-report
measures,
Diabetes
Distress
Scale
(DDS),
Self-Management
Questionnaire
(DSMQ),
Audit
Diabetes-Dependent
Quality
Life
(ADDQoL-19).
HbA1c
levels
CGM
usage
retrieved
from
medical
records.
Structural
equation
modeling
(SEM)
used
relationships
self-management,
QoL.
Results:
level
(DDS)
had
significant
negative
effect
SME
(β
=
−0.47,
p
<
0.001),
suggesting
that
higher
associated
lower
self-management.
In
contrast,
showed
no
impact
0.03,
0.779).
However,
−0.37,
meaning
linked
life.
No
SME,
HbA1c,
or
found
among
users
non-users.
Conclusions:
Therefore,
PROs
aspects
alongside
clinical
care
is
essential
for
optimizing
treatment
plans
improving
physical
health
outcomes.
technology
facilitates
regulation,
it
does
not
inherently
QoL,
which
more
closely
distress.
Language: Английский
Sleep Quality and Glycemic Control in Type 1 Diabetes: A Retrospective Cohort Study Using Advanced Technological Devices
Paola Pantanetti,
No information about this author
Federico Biondini,
No information about this author
Stefano Mancin
No information about this author
et al.
Diabetology,
Journal Year:
2025,
Volume and Issue:
6(3), P. 21 - 21
Published: March 14, 2025
Introduction/Aim:
Type
1
diabetes
(T1D)
challenges
glycemic
control,
with
sleep
disturbances
affecting
insulin
sensitivity
and
glucose
variability.
This
study
aimed
to
observe
quality
in
T1D
patients
outcomes,
particularly
at
bedtime
hours.
Methods:
retrospective
observational
study,
conducted
an
Italian
clinical
center,
included
using
Medtronic
devices.
Sleep
was
assessed
the
version
of
Pittsburgh
Quality
Index
(PSQI),
outcomes
were
analyzed
CGM
data.
Descriptive
statistics
non-parametric
tests
applied
for
statistical
comparisons.
Results:
Of
45
patients,
four
excluded,
leaving
41
analysis.
The
mean
PSQI
score
6.0
±
4.1,
36.6%
showing
poor
quality.
No
significant
differences
age,
sex,
BMI,
or
duration
found.
Poor
sleepers
had
a
higher
time
above
range
level
2
(TAR2)
(6.3
6.2%)
compared
good
(4.1
5.0%).
During
hours,
showed
significantly
TAR2
(6.7
7.2%
vs.
3.3
6.2%,
p
=
0.013).
Conclusions:
is
associated
increased
nocturnal
hyperglycemia
patients.
Enhancing
may
contribute
improved
during
nighttime.
Future
research
should
explore
targeted
interventions
care,
specific
lifestyle-based
healthcare
programs
are
recommended
optimize
outcomes.
Language: Английский
Role of a School Nurse in the Management of Type 1 Diabetes in Schools: Teachers' Perspectives
Despoina Chatziklonidou,
No information about this author
Spyridon Rigatos,
No information about this author
Εvangelos C. Fradelos
No information about this author
et al.
Cureus,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 31, 2025
Language: Английский
Anhedonia in Youth and the Role of Internet-Related Behavior: A Systematic Review
Psychiatry International,
Journal Year:
2024,
Volume and Issue:
6(1), P. 1 - 1
Published: Dec. 26, 2024
Introduction:
The
Diagnostic
and
Statistical
Manual
of
Mental
Disorders
(DSM-5)
defines
depression
as
a
persistent
period
sadness
or
reduced
interest
in
everyday
activities
lasting
at
least
two
weeks.
Anhedonia,
key
symptom
depression,
is
notable
for
its
significance
regarded
the
second
most
important
factor
related
to
non-somatic
issues,
following
closely
behind
depressed
mood.
This
study
primarily
investigates
how
excessive
problematic
use
Internet-connected
devices
affects
mood
emotions
young
people,
with
specific
emphasis
on
anhedonia.
Additionally,
it
explores
associated
socio-behavioral
changes
examines
interaction
between
IA
depression.
Methods:
systematic
review
was
conducted
PRISMA
international
guidelines.
Searches
were
performed
PubMed,
Cochrane
Library
(Clinical
Trials
section),
Scopus,
Embase,
PsycInfo,
grey
literature
sources
like
Google
Scholar.
A
predefined
search
strategy
using
Boolean
operators
employed,
researchers
independently
selected
papers,
third
researcher
resolving
any
discrepancies.
reviews
minimize
selection
bias.
Results:
Out
3812
records,
7
studies
included.
findings
suggest
that
social
anhedonia
correlates
higher
levels
IA,
particularly
among
adolescents
adults.
In
some
studies,
loneliness
identified
mediator
functioning,
indicating
complex
interplay
emotional
factors.
Other
investigations
revealed
increased
screen
time
heightened
risk
developing
addiction-related
behaviors.
Practical
Implications
Conclusions:
highlights
role
development
Internet
addiction
(IA)
through
impact
regulation
interactions.
Addressing
psychological
environmental
factors
essential
targeted
strategies
prevent
manage
mental
health
challenges.
Language: Английский
The Internet of Things in the Nutritional Management of Patients with Chronic Neurological Cognitive Impairment: A Scoping Review
Healthcare,
Journal Year:
2024,
Volume and Issue:
13(1), P. 23 - 23
Published: Dec. 25, 2024
Background/Objectives:
The
Internet
of
Things
(IoT)
technology
connects
objects
to
the
internet,
and
its
applications
are
increasingly
used
in
healthcare
improve
quality
care.
However,
use
IoT
for
nutritional
management
patients
with
chronic
neurological
cognitive
impairment
is
still
development.
This
scoping
review
aims
describe
integration
support
monitoring,
interventions,
education
impairment.
Methods:
A
was
conducted
using
Cochrane,
PubMed/Medline,
CINAHL,
Embase,
Scopus,
Web
Science
databases
following
Arksey
O’Malley
framework.
Results:
Of
1424
records
identified,
10
were
included
review.
Most
articles
peer-reviewed
proceedings
from
conferences
or
publications
scientific
journals.
IoT-based
innovations
discussed
methodological
articles,
case
studies,
project
descriptions.
Innovations
identified
across
three
key
areas:
intervention,
education.
Conclusions:
offers
promising
capabilities
this
field
early
stages
development
not
yet
highly
specific.
Language: Английский