Nutrition & Metabolism,
Journal Year:
2024,
Volume and Issue:
21(1)
Published: Nov. 19, 2024
Circadian
eating
patterns
and
chrono-nutrition
may
influence
obesity
disease
incidence.
Thus,
this
study
aimed
to
assess
the
mediating
role
of
in
relationship
between
meal-specific
dietary
(DPs),
chrono-nutritional
components,
cardiometabolic
risk
using
structural
equation
modeling
(SEM).
A
cross-sectional
involving
825
Iranian
adults
was
conducted.
Dietary
intake
recorded
three
24-h
recalls.
The
morning-evening
questionnaire
completed.
Meal
timing,
frequency
occasions,
irregular
energy
scores
were
derived
from
Principal
component
analysis
identified
DPs
for
breakfast,
lunch,
dinner.
Anthropometric
measurements,
blood
pressure,
laboratory
investigations,
including
fasting
glucose
levels,
lipid
profiles,
insulin
performed.
Insulin
resistance
assessed
homeostatic
model,
triglyceride
indices
calculated.
final
SEM
showed,
that
"oil,
egg,
cereals"
at
breakfast
directly
associated
with
lipids
[β
(95%
CI);
0.105
(0.007–0.203)].
dairy,
potato,
egg"
lunch
indirectly
linked
increased
[0.156
(0.040–0.271),
BP
(0.338
(0.226–0.449)],
[0.208
(0.188–0.277)].
At
dinner,
"cereal,
oil,
poultry,
legume"
related
lower
[−
0.095
(−
0.179
−
0.012)].
levels
0.101
0.193
0.008)].
An
score
not
outcomes.
More
frequent
meals
healthier
DPs,
especially
better
outcomes,
some
effects.
Longitudinal
studies
are
needed
clarify
causal
relationships.
Biomolecules,
Journal Year:
2021,
Volume and Issue:
11(4), P. 487 - 487
Published: March 24, 2021
The
circadian
rhythm
plays
a
fundamental
role
in
regulating
biological
functions,
including
sleep-wake
preference,
body
temperature,
hormonal
secretion,
food
intake,
and
cognitive
physical
performance.
Alterations
can
lead
to
chronic
disease
impaired
sleep.
rhythmicity
human
beings
is
represented
by
complex
phenotype.
Indeed,
over
24-h
period,
person's
preferred
time
be
more
active
or
sleep
expressed
the
concept
of
morningness-eveningness.
Three
chronotypes
are
distinguished:
Morning,
Neither,
Evening-types.
Interindividual
differences
need
considered
reduce
negative
effects
disruptions
on
health.
In
present
review,
we
examine
bi-directional
influences
rest-activity
cycle
pathologies
disorders.
We
analyze
main
characteristics
three
chronotypes.
Journal of the American Heart Association,
Journal Year:
2021,
Volume and Issue:
10(18)
Published: Sept. 6, 2021
Background
Sleep
variability
and
social
jetlag
are
associated
with
adverse
cardiometabolic
outcomes
via
circadian
disruption.
Variable
eating
patterns
also
lead
to
disruption,
but
associations
health
unknown.
Methods
Results
Women
(n=115,
mean
age:
33±12
years)
completed
a
1-week
food
record
using
the
Automated
Self-Administered
24-Hour
Dietary
Assessment
Tool
at
baseline
1
year.
Timing
of
first
last
occasions,
nightly
fasting
duration,
%kcal
consumed
after
5
pm
(%kcal
pm)
8
were
estimated.
Day-to-day
was
assessed
from
SD
these
variables.
Eating
defined
as
weekday-weekend
differences
in
metrics.
Multivariable-adjusted
linear
models
examined
cross-sectional
longitudinal
day-to-day
metrics
risk.
Greater
start
time,
related
higher
body
mass
index
waist
circumference
(P<0.05).
In
analyses,
10%
increase
predicted
increased
(β,
0.52;
95%
CI,
0.23-0.81)
1.73;
0.58-2.87);
greater
0.25;
0.07-0.43).
Every
30-minute
duration
diastolic
blood
pressure
0.95;
0.40-1.50);
an
equivalent
systolic
0.58;
0.11-1.05)
0.45;
0.10-0.80).
Per
SD,
there
2.98
mm
Hg
(95%
0.04-5.92)
2.37mm
0.19-4.55)
increases
pressure;
1.83;
0.30-3.36).
For
hemoglobin
A1c,
every
end
time
0.09%
0.03-0.15),
0.06%
0.001-0.12),
0.23%
0.07-0.39)
increases,
respectively.
Conclusions
adiposity
worse
glycemic
control.
Findings
warrant
confirmation
population-based
cohorts
intervention
studies.
European Journal of Nutrition,
Journal Year:
2023,
Volume and Issue:
62(5), P. 2303 - 2315
Published: April 26, 2023
Abstract
Purpose
To
investigate
the
association
of
meal
timing
with
body
composition
and
cardiometabolic
risk
factors
in
young
adults.
Methods
In
this
cross-sectional
study
participated
118
adults
(82
women;
22
±
2
years
old;
BMI:
25.1
4.6
kg/m
).
Meal
was
determined
via
three
non-consecutive
24-h
dietary
recalls.
Sleep
outcomes
were
objectively
assessed
using
accelerometry.
The
eating
window
(time
between
first
last
caloric
intake),
midpoint
(local
time
at
which
≥
50%
daily
calories
are
consumed),
jetlag
(variability
non-working
working
days),
from
midsleep
point
to
food
intake,
intake
calculated.
Body
by
DXA.
Blood
pressure
fasting
(i.e.,
triglycerides,
total
cholesterol,
high-density
lipoprotein-cholesterol,
low-density
insulin
resistance)
measured.
Results
not
associated
(
p
>
0.05).
negatively
related
HOMA-IR
score
men
R
=
0.348,
β
−
0.605;
0.234,
0.508;
all
≤
0.003).
positively
0.212,
0.485;
0.228,
0.502;
These
associations
remained
after
adjusting
for
confounders
multiplicity
(all
0.011).
Conclusions
seems
unrelated
However,
a
longer
shorter
earlier
24
h
cycle)
better
health
men.
Clinical
trial
registration
NCT02365129
https://www.clinicaltrials.gov/ct2/show/NCT02365129?term=ACTIBATE&draw=2&rank=1
Nutrients,
Journal Year:
2024,
Volume and Issue:
16(23), P. 4226 - 4226
Published: Dec. 6, 2024
Obesity
is
a
global
health
problem
with
significant
chronic
disease
risks.
This
study
examined
gender
differences
in
eating
behaviour,
body
composition,
frequency
and
time
of
hunger
an
Italian
cohort
obesity
(BMI
≥
30)
to
inform
gender-specific
management
strategies.
Nutrition and Diabetes,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Feb. 27, 2024
Abstract
Objective
To
investigate
the
association
of
timing,
frequency,
and
food
quality
night
eating
with
all-cause,
cancer,
diabetes
mortality.
Methods
This
study
included
41,744
participants
from
US
National
Health
Nutrition
Examination
Survey
(2002–2018).
Night
information
was
collected
by
24-h
dietary
recall
exposures
were
eating.
Food
assessed
latent
class
analysis.
The
outcomes
mortality,
which
identified
Death
Index
International
Classification
Diseases
10th
Revision.
Adjusted
hazard
ratios
[aHR]
95%
confidence
intervals
[CI]
computed
Cox
regression.
Results
During
a
median
follow-up
8.7
years,
6066
deaths
documented,
including
1381
cancer
206
diabetes.
Compared
no
(eating
before
22:00),
later
timing
associated
higher
risk
all-cause
mortality
(each
P
-trend
<0.05)
rather
than
highest
being
00:00–1:00
(aHR
1.38,
CI
1.02–1.88)
23:00–00:00
2.31,
1.21–4.40),
respectively.
However,
increased
risks
not
observed
for
22:00-23:00.
Likewise,
one
time
or
over
frequency
<
0.05).
That
further
in
high-dietary-energy-density
group
(all-cause
mortality:
aHR
1.21
[95%
1.06–1.38];
1.97
1.13–3.45]),
but
low-dietary-energy-density
group.
Finally,
correlation
analysis
found
positive
associations
glycohemoglobin,
fasting
glucose,
OGTT.
Conclusions
mortality;
however,
reduction
excess
when
23:00
foods.
International Journal of Behavioral Nutrition and Physical Activity,
Journal Year:
2025,
Volume and Issue:
22(1)
Published: April 24, 2025
Abstract
Background
A
growing
number
of
studies
have
investigated
chrononutrition-related
variables
in
relation
to
health
outcomes.
However,
only
a
few
questionnaires
specifically
designed
for
assessing
parameters
been
validated.
We
aimed
examine
the
relative
validity
Chrono-Nutrition
Behavior
Questionnaire
(CNBQ)
against
11-day
event-based
ecological
momentary
assessment
(EMA)
diaries
eating.
Methods
Informed
by
previous
research,
we
developed
CNBQ
comprehensive
parameters,
including
sleep
variables,
eating
frequency,
timing
eating,
duration
occasions,
windows,
and
time
interval
between
workdays
non-workdays
separately.
Between
February
April
2023,
total
1050
Japanese
adults
aged
20–69
years
completed
online
subsequently
kept
EMA
food
11
days,
6.5
4.5
on
average.
Results
Mean
differences
estimates
derived
from
were
<
10%
most
examined,
both
(27
33;
82%)
(25
76%),
based
non-workdays,
such
as
jetlag
(5
6;
83%).
Spearman
correlation
coefficients
≥
0.50
26
(79%)
22
(67%)
(e.g.,
mid-sleep
time;
frequency;
first
occasion,
last
meal,
meal;
meal
window;
midpoint;
wake
occasion
time),
2
base
breakfast
timing).
Bland–Altman
analysis
showed
that
limits
agreement
wide
bias
overestimation
was
proportional
mean
increased.
Conclusions
These
findings
suggest
justifies
its
use
estimating
values
ranking
individuals
majority
parameters.
Nutrition Journal,
Journal Year:
2025,
Volume and Issue:
24(1)
Published: April 28, 2025
Inconsistent
epidemiologic
findings
on
the
associations
of
chrononutrition
behaviors
with
diet
quality
and
adiposity
measures
may
be
due
to
use
different
dietary
assessment
methodologies
a
lack
consideration
misreporting.
We
aimed
investigate
by
using
questionnaires
diaries,
adjustment
for
energy
intake
(EI)
This
cross-sectional
study
included
1047
Japanese
adults
aged
20-69
years.
used
Chrono-Nutrition
Behavior
Questionnaire
(CNBQ)
or
11-day
diaries
assess
(meal
frequency,
snack
total
eating
timing
first
occasion,
last
duration
window,
midpoint)
workdays
non-workdays
separately.
Eating
jetlag
was
defined
as
midpoint
difference
between
non-workdays.
Diet
assessed
Healthy
Index-2020,
based
Meal-based
History
(MDHQ)
4-day
weighed
food
diaries.
EI
misreporting
evaluated
Goldberg
cut-off
principle.
Using
questionnaire
data
(CNBQ
MDHQ),
we
found
inverse
frequencies,
midpoint,
(P
<
0.05),
irrespective
Also,
positive
meal,
snack,
frequencies
window
prevalence
general
obesity
(body
mass
index
≥
25
kg/m2),
abdominal
(waist
circumference
90
cm
males;
80
females),
both;
many
these
were
only
evident
0.05)
after
In
contrast,
diary
data,
no
quality,
obesity,
regardless
(except
timings
occasions
quality).
The
dependent
methodology
behaviors.
Adjustment
radically
changed
in
questionnaire-based
analysis.
These
suggest
importance
careful
method
selection
research.
Nutrients,
Journal Year:
2022,
Volume and Issue:
14(2), P. 351 - 351
Published: Jan. 14, 2022
After
the
COVID-19
lockdown,
a
'new
normal'
was
established,
involving
hybrid
lifestyle
that
combined
face-to-face
with
virtual
activity.
We
investigated,
in
case-control
study,
impact
of
on
daily
sleep
and
eating
routines,
compared
pre-pandemic
conditions.
To
do
this,
we
propose
using
social
jet
lag
as
markers
regularity
routines.
Additionally,
studied
whether
had
an
body
mass
index
(BMI),
diet
quality,
other
health-related
variables.
This
study
included
71
subjects
group,
68
group
(20-30
years).
For
all
participants,
evaluated
lag,
BMI,
behaviors,
physical
activity,
well-being.
General
linear
models
were
used
to
compare
outcome
variables
between
groups.
The
results
revealed
associated
greater
routines
(-0.7
h
(95%
CI:
-1.0,
-0.4),
-0.3
-0.5,
-0.1)),
longer
duration
weekdays
(1.8
1.5,
2.2)),
lower
debt
(-1.3
-1.7,
-0.9)).
Regarding
BMI
variables,
observed
these
similar
These
findings
indicate
positive
our
indicated
offered
college
students
more
sustainable
lifestyle,
which
hours
during
week
debt.
This,
long
run,
could
have
overall
health.