Association of Dietary Intake with Chronic Disease and Human Health
Nutrients,
Год журнала:
2025,
Номер
17(3), С. 446 - 446
Опубликована: Янв. 26, 2025
Eating
habits
are
among
the
major
determinants
of
health,
and
in
most
countries
world
part
population
suffers
from
one
or
more
problems
related
to
malnutrition,
by
default
(due
an
acute
chronic
lack
micronutrients)
excess
(energy,
sugars,
fats,
deficiencies
important
[...]
Язык: Английский
Association between Diet Quality and Eating Behavior in Type 2 Diabetes Adults: A Cross-Sectional Study
Nutrients,
Год журнала:
2024,
Номер
16(13), С. 2047 - 2047
Опубликована: Июнь 27, 2024
Type
2
diabetes
mellitus
(T2DM)
has
become
a
global
epidemic.
To
effectively
control
T2DM,
individuals
must
adhere
to
high-quality
diet
that
encompasses
not
only
healthy
dietary
patterns
but
also
promotes
positive
eating
behaviors.
We
conducted
cross-sectional
study
on
314
patients
with
and
we
evaluated
the
quality
examined
associations
between
behavior,
quality,
anthropometric
clinical
factors
in
T2DM
patients.
used
Diet
Quality
Index-International
Dutch
Eating
Behavior
Questionnaire
assess
characteristics.
found
women
had
significantly
higher
than
men
(61.40
vs.
58.68,
p
=
0.002)
were
more
prone
emotional
(2.00
1.53,
<
0.001)
restrained
(2.39
2.05,
0.002).
Restrained
correlated
duration
of
(r
−0.169,
0.003),
body
mass
index
0.182,
0.001),
external
glycated
hemoglobin
0.114,
0.044).
Patients
vitamin
C
adequacy
score
(β
0.117,
0.045).
External
was
positively
associated
grain
0.208,
negatively
empty-calorie
food
moderation
−0.125,
0.032).
For
eating,
−0.138,
0.017)
fruit
0.125,
0.033).
In
conclusion,
results
this
provide
valuable
insight
into
behavior
emphasize
importance
promoting
habits
for
Язык: Английский
Emotional Eating Is Associated with T2DM in an Urban Turkish Population: A Pilot Study Utilizing Social Media
Diabetology,
Год журнала:
2024,
Номер
5(3), С. 286 - 299
Опубликована: Июль 11, 2024
Lifestyle
behaviors
and
their
potential
effects
on
diabetes
are
being
investigated
for
optimal
management.
In
patients
with
type
2
mellitus
(T2DM),
the
necessary
dietary
modifications
extend
to
psychological
components
consideration.
This
study
aimed
determine
eating
behavior
of
T2DM
different
sociodemographic
characteristics
in
an
urban
Turkish
population.
The
Dutch
Eating
Behavior
Questionnaire
(DEBQ)
was
distributed
via
social
media
a
smartphone
application
108
patients,
58
males
50
females,
age
26–40
years
(20
individuals,
18.6%)
over
40
(88
81.4
%).
Basic
component
factor
analysis
varimax
rotation
used
item-total
correlation
coefficient.
group
exhibited
high
both
restrained
emotional
(r
>
0.8),
while
participants
displayed
medium
=
0.6–0.8).
Compared
married
single
participants,
“other”
marital
status
showed
significant
all
categories
0.8).
Married
were
less
correlated
compared
participants.
Participants
lower
education
levels
0.8)
forms
eating,
more
so
those
higher
attained.
Overweight
demonstrated
moderately
0.4–0.6)
restrictive
correlation,
normal
weight
obese
0.6–0.8)
overweight
patients.
Regardless
demographic
factors,
when
combined,
strongest
found
be
other
types
eating.
Язык: Английский
Mendelian Randomization Analysis Identifies Inverse Causal Relationship between External Eating and Metabolic Phenotypes
Nutrients,
Год журнала:
2024,
Номер
16(8), С. 1166 - 1166
Опубликована: Апрель 13, 2024
Disordered
eating
contributes
to
weight
gain,
obesity,
and
type
2
diabetes
(T2D),
but
the
precise
mechanisms
underlying
development
of
different
patterns
connecting
them
specific
metabolic
phenotypes
remain
unclear.
We
aimed
identify
genetic
variants
linked
behaviour
investigate
its
causal
relationships
with
traits
using
Mendelian
randomization
(MR).
tested
associations
between
30
in
individuals
T2D
from
Volga-Ural
region
investigated
associated
various
anthropometric
data
population
large
international
consortia.
detected
HTR1D
CDKAL1
external
eating;
HTR2A
emotional
HTR2A,
NPY2R,
HTR1F,
HTR3A,
HTR2C,
CXCR2,
T2D.
Further
analyses
a
separate
group
revealed
significant
syndrome
(MetS)
loci
CRP,
ADCY3,
GHRL,
CDKAL1,
BDNF,
CHRM4,
CHRM1,
AKT1
genes.
MR
results
demonstrated
an
inverse
relationship
glycated
haemoglobin
levels
sample.
External
influenced
such
as
body
mass
index,
height,
hip
circumference,
waist
GWAS
cohorts.
Our
findings
suggest
that
impact
both
traits.
Язык: Английский