International Journal of Digital Earth,
Год журнала:
2024,
Номер
17(1)
Опубликована: Июль 4, 2024
This
study
investigates
the
joint
effect
of
air
pollution
and
different
types
green
spaces
(e.g.
mixed
forests)
on
stress
levels
in
South
Korea.
Two
periods
were
examined:
before
COVID-19
pandemic
(2017–2019)
during
(2020–2022).
We
used
16
total
parameters
for
our
Random
Forest
model.
Stress
was
dependent
variable,
15
other
variables
independent
parameters.
Our
focused
PM10
(forest
types).
findings
show
that
forests
reduce
stress,
particularly
when
are
low.
In
addition,
is
associated
with
increased
levels,
this
relationship
became
stronger
COVID-19.
These
indicate
protecting
improving
quality
may
improve
people's
mental
health.
provides
insights
into
how
cities
can
be
made
healthier
happier
places
to
live,
challenging
such
as
a
pandemic.
EBioMedicine,
Год журнала:
2024,
Номер
107, С. 105270 - 105270
Опубликована: Авг. 12, 2024
Short-term
exposure
to
particulate
matter
air
pollution
has
been
associated
with
the
exacerbations
of
COPD,
but
its
association
COPD
mortality
was
not
fully
elucidated.
We
aimed
assess
between
short-term
and
risk
in
China
using
individual-level
data.
Environmental Health Perspectives,
Год журнала:
2024,
Номер
132(3)
Опубликована: Март 1, 2024
There
are
few
studies
on
the
health
effects
of
long-term
exposure
to
neighborhood
greenness
in
a
longitudinal
setting,
especially
Asian
countries
with
high
population
densities.
Environment International,
Год журнала:
2024,
Номер
186, С. 108657 - 108657
Опубликована: Апрель 1, 2024
The
increasing
frequency
of
heat
waves
under
the
global
urbanization
and
climate
change
background
poses
elevating
risks
chronic
kidney
disease
(CKD).
Nevertheless,
there
has
been
no
evidence
on
associations
between
long-term
exposures
to
CKD
as
well
modifying
effects
land
cover
patterns.
Based
a
national
representative
population-based
survey
covering
47,086
adults
high
spatial
resolution
datasets
temperature
data,
we
found
that
annual
days
exposure
were
associated
with
increased
odds
prevalence.
For
one
day/year
increases
in
HW_975_4d
(above
97.5
%
maximum
lasting
for
at
least
4
consecutive
days),
ratio
(OR)
was
1.14
(95
%CI:
1.12,
1.15).
Meanwhile,
stronger
observed
regions
lower
urbanicity
[rural:
1.16)
vs
urban:
1.07
1.03,
1.11),
Pinteraction
<
0.001],
water
body
coverage
[lower:
higher:
1.02
0.98,
1.05),
impervious
area
1.16
1.14,
1.18)
1.06
1.10),
=
0.008].
In
addition,
this
study
disparities
bodies
areas
rural
urban
settings.
regions,
prevalence
showed
consistent
decreasing
trend
both
proportions
(Pinteraction
0.05).
significant
effect
modification
by
bodies,
but
not
areas.
Our
indicates
need
targeted
planning
part
adapting
impacts
waves,
focus
construction
utilization
regions.
Sustainability,
Год журнала:
2024,
Номер
16(20), С. 8924 - 8924
Опубликована: Окт. 15, 2024
Global
climate
change
presents
a
serious
threat
to
the
sustainable
development
of
human
society,
highlighting
urgent
need
develop
effective
adaptation
strategies
mitigate
impact
climate-related
disasters.
Campus
waterfront
green
spaces,
integral
blue-green
infrastructure,
have
been
demonstrated
facilitate
stress
recovery.
However,
in
hot
and
humid
regions,
severe
outdoor
thermal
conditions
may
impair
students’
mental
physical
health
cognitive
function,
leading
symptoms
such
as
increased
stress,
anxiety,
depression.
This
study
examined
influence
environments
on
recovery
by
selecting
three
different
spaces
this
climate:
Space
A
(medium
water
body,
sky
view
factor
(SVF)
=
0.228),
B
(large
SVF
0.808),
C
(small
0.292).
The
volunteers’
comfort
restorative
benefits
these
were
evaluated
via
perceived
restorativeness
scale
(PRS),
heart
rate
(HR),
electrodermal
activity
(EDA).
We
found
variations
neutral
physiological
equivalent
temperature
(PET)
across
with
values
28.1
°C
(A),
28.9
(B),
29.1
(C).
lowest
skin
conductance
(RSC)
at
0.8811
was
observed
B,
suggesting
suboptimal
recovery,
despite
higher
scores
psychological
(fascination)
15.23.
level
region
showed
negative
correlation
overall
PRS
score,
“being
away”
dimension,
(RHR).
At
lightly
warm
level,
where
PET
from
31.0
35.7
°C,
RSC
peaked
between
1.45
1.53
all
spaces.
These
insights
provide
guidance
for
urban
designers
planners
creating
space
designs
that
can
improve
microclimate
promote
health,
achieving
health.
Environmental Science & Technology,
Год журнала:
2024,
Номер
58(32), С. 14146 - 14157
Опубликована: Июль 31, 2024
We
investigated
the
independent
and
joint
associations
between
multiple
environmental
exposures
incident
hypertension
in
a
US
nationwide
prospective
cohort
of
women:
Nurses'
Health
Study
II.
followed
107,532
nonhypertensive
participants
from
1989
to
diagnosis
hypertension,
loss
follow-up,
death,
or
end
follow-up
June
2019.
applied
Cox
proportional
hazards
models
assess
with
time-varying
residential
exposure
air
pollution,
noise,
surrounding
greenness,
temperature,
neighborhood
socioeconomic
status
(nSES),
adjusting
for
potential
confounders
coexposures.
evaluated
association
simultaneous
using
quantile
g-computation.
observed
38,175
cases
over
2,062,109
person-years.
Increased
incidence
was
consistently
associated
lower
nSES
higher
levels
fine
particles
(PM2.5)
nighttime
noise
exposures:
hazard
ratio
(HRs)
95%
confidence
intervals
(CIs)
1.06
(1.04,
1.08),
1.04
(1.01,
1.07),
1.01
(1.00,
1.03),
respectively,
per
interquartile
range
change.
Joint
HR
one-quartile
change
mixture
1.05
(95%
CI:
1.02,
1.09),
assuming
additivity,
1.13
1.06,
1.20),
considering
interactions
within
mixture.
Hypertension
prevention
should
focus
on
enhancing
reducing
PM2.5
levels,
recognizing
that
overall
may
yield
additional
benefits.
Journal of Medical Internet Research,
Год журнала:
2025,
Номер
27, С. e68442 - e68442
Опубликована: Март 12, 2025
Background
Hypertension
is
a
major
global
health
issue
and
significant
modifiable
risk
factor
for
cardiovascular
diseases,
contributing
to
substantial
socioeconomic
burden
due
its
high
prevalence.
In
China,
particularly
among
populations
living
near
desert
regions,
hypertension
even
more
prevalent
unique
environmental
lifestyle
conditions,
exacerbating
the
disease
in
these
areas,
underscoring
urgent
need
effective
early
detection
intervention
strategies.
Objective
This
study
aims
develop,
calibrate,
prospectively
validate
2-year
prediction
model
by
using
large-scale
examination
data
collected
from
residing
4
regions
surrounding
Taklamakan
Desert
of
northwest
China.
Methods
We
retrospectively
analyzed
1,038,170
adults
(2019-2021)
validated
our
findings
separate
cohort
961,519
(2021-2023).
Data
included
demographics,
factors,
physical
examinations,
laboratory
measurements.
Feature
selection
was
performed
light
gradient-boosting
machine–based
recursive
feature
elimination
with
cross-validation
Least
Absolute
Shrinkage
Selection
Operator,
yielding
24
key
predictors.
Multiple
machine
learning
(logistic
regression,
random
forest,
extreme
gradient
boosting,
machine)
deep
(Feature
Tokenizer
+
Transformer,
SAINT)
models
were
trained
Bayesian
hyperparameter
optimization.
Results
Over
follow-up,
15.20%
(157,766/1,038,170)
participants
retrospective
10.50%
(101,077/961,519)
prospective
developed
hypertension.
Among
developed,
CatBoost
demonstrated
best
performance,
achieving
area
under
curve
(AUC)
values
0.888
(95%
CI
0.886-0.889)
0.803
0.801-0.804)
cohort.
Calibration
via
isotonic
regression
improved
model’s
probability
estimates,
Brier
scores
0.090
0.089-0.091)
0.102
0.101-0.103)
internal
validation
cohorts,
respectively.
Participants
ranked
positive
predictive
value
calculated
calibrated
stratified
into
categories
(low,
medium,
high,
very
high),
group
exhibiting
41.08%
(5741/13,975)
incidence
over
2
years.
Age,
BMI,
factors
identified
as
predictors
Conclusions
Our
effectively
predicted
hypertension,
making
it
suitable
preventive
care
management
high-risk
exhibited
excellent
performance
has
potential
clinical
application.
A
web-based
application
based
on
model,
which
further
enhanced
accessibility
public
use,
aiding
reducing
through
timely
prevention
