Journal of the American Heart Association,
Год журнала:
2021,
Номер
10(18)
Опубликована: Сен. 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.
Frontiers in Cardiovascular Medicine,
Год журнала:
2023,
Номер
10
Опубликована: Фев. 17, 2023
Sleep
regularity
is
an
essential
part
of
the
multidimensional
sleep
health
framework.
The
phenomenon
irregular
patterns
widespread
in
contemporary
lifestyles.
This
review
synthesizes
clinical
evidence
to
summarize
measures
and
discusses
role
different
indicators
developing
cardiometabolic
diseases
(coronary
heart
disease,
hypertension,
obesity,
diabetes).
Existing
literature
has
proposed
several
measurements
assess
regularity,
mainly
including
standard
deviation
(SD)
duration
timing,
index
(SRI),
interdaily
stability
(IS),
social
jetlag
(SJL).
Evidence
on
associations
between
variability
varies
depending
measure
used
characterize
sleep.
Current
studies
have
identified
a
robust
association
SRI
diseases.
In
comparison,
other
metrics
was
mixed.
Meanwhile,
with
differ
across
population.
SD
characteristics
or
IS
may
be
more
consistently
associated
HbA1c
patients
diabetes
compared
general
SJL
hypertension
for
accordant
than
Interestingly,
age-stratified
metabolic
factors
observed
present
studies.
Furthermore,
relevant
reviewed
generalize
potential
mechanisms
through
which
increases
risk,
circadian
dysfunction,
inflammation,
autonomic
hypothalamic–pituitary–adrenal
(HPA)
axis
disorder,
gut
dysbiosis.
Health-related
practitioners
should
give
attention
human
future.
Diabetes Care,
Год журнала:
2020,
Номер
43(6), С. 1219 - 1226
Опубликована: Март 24, 2020
To
identify
sleep
duration
trajectories
from
early
to
middle
adulthood
and
their
associations
with
incident
type
2
diabetes.Using
a
group-based
modeling
approach,
we
identified
based
on
in
ages
20-25,
26-35,
36-45,
46+
years,
which
were
retrospectively
assessed
2009
among
60,068
women
the
Nurses'
Health
Study
II
(median
age
54.9
years)
who
free
of
diabetes,
cardiovascular
disease,
cancer.
We
investigated
prospective
between
diabetes
risk
(2009-2017)
using
multivariable
Cox
proportional
hazards
models.We
documented
1,797
cases
over
median
follow-up
7.8
years
(442,437
person-years).
Six
identified:
persistent
5-,
6-,
7-,
or
8-h
increased
decreased
duration.
After
adjustment
for
factors,
compared
7-h
group,
hazard
ratio
was
1.43
(95%
CI
1.10,
1.84)
5-h
1.17
(1.04,
1.33)
6-h
0.96
(0.84,
1.10)
1.33
(1.09,
1.61)
1.32
(1.10,
1.59)
group.
Additional
time-updated
comorbidities
BMI
attenuated
these
associations,
although
significantly
higher
remained
group
(1.24
[1.03,
1.50]).Persistent
short
changes
associated
later
life.
These
weaker
after
obesity
metabolic
accounted
for.
International Journal of Environmental Research and Public Health,
Год журнала:
2021,
Номер
18(19), С. 9980 - 9980
Опубликована: Сен. 23, 2021
As
the
primary
environmental
cue
for
body’s
master
biological
clock,
light–dark
patterns
are
key
circadian
alignment
and
ultimately
fundamental
to
multiple
dimensions
of
health
including
sleep
mental
health.
Although
daylight
provides
proper
qualities
light
promoting
alignment,
our
modern
indoor
lifestyles
offer
fewer
opportunities
adequate
exposure.
This
field
study
explores
how
increasing
circadian-effective
in
residences
affects
phase,
sleep,
vitality,
In
this
crossover
study,
20
residents
spent
one
week
their
apartments
with
electrochromic
glass
windows
another
functionally
standard
blinds.
Calibrated
sensors
revealed
higher
daytime
levels
windows,
participants
exhibited
consistent
melatonin
onset,
a
22-min
earlier
regularity.
blinds
condition,
15-min
delay
dim
subjective
vitality
throughout
day,
an
overall
lower
positive
affect.
demonstrates
impact
lighting
on
physiological,
behavioral,
measures
real-world
environment
stresses
importance
designing
buildings
that
optimize
human
wellbeing.
Journal of the American Heart Association,
Год журнала:
2021,
Номер
10(18)
Опубликована: Сен. 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.