The Lancet Planetary Health,
Journal Year:
2022,
Volume and Issue:
6(3), P. e219 - e229
Published: March 1, 2022
BackgroundAir
pollution
exposure
is
one
of
the
modifiable
risk
factors
cognitive
decline.
We
aimed
to
test
association
between
several
outdoor
air
pollutants
and
domain-specific
performance.MethodsIn
this
cross-sectional
study,
we
used
data
from
enrolment
phase
French
CONSTANCES
cohort.
From
220
000
people
(aged
18–69
years)
randomly
recruited
in
cohort,
participants
aged
45
years
old
or
older
(104
733
people)
underwent
a
comprehensive
assessment
(verbal
episodic
memory,
language
skills,
executive
functions).
After
exclusion
those
who
were
not
suitable
for
our
analysis,
61
462
with
available
included
analyses.
annual
mean
concentrations
at
residential
addresses,
derived
land-use
regression
models,
assign
particulate
matter
aerodynamic
diameters
less
than
2·5
μm
(PM2·5),
nitrogen
dioxide
(NO2),
black
carbon.
multiple
linear
models
different
covariate
adjustments
associations
each
pollutant
outcomes.
did
sensitivity
analyses,
including
multilevel
modelling,
meta-analysis
by
centre
recruitment,
specific
population
groups.FindingsWe
found
significantly
poorer
function,
especially
on
semantic
fluency
domains
functions,
an
increase
carbon
NO2.
Exposure
PM2·5
was
mainly
significant
test.
that
decrease
performance
interquartile
range
ranged
1%
nearly
5%.
The
largest
effect
size
(percentage
decrease)
both
PM2.5
NO2
(PM2.5
4·6%,
95%
CI
2·1–6·9
3·8%,
1·9–5·7),
whereas
carbon,
digit
symbol
substitution
functions
(4·5%,
2·7–6·3).
Monotonic
exposure–response
performance,
starting
low
level
exposures.InterpretationSignificantly
associated
even
levels
exposure.
This
highlights
importance
further
efforts
reduce
pollution.FundingThe
Caisse
Nationale
d'Assurance
Maladie,
partly
funded
Merck
Sharp
&
Dohme
L'Oréal,
National
Research
Agency,
Fondation
de
France.TranslationFor
translation
abstract
see
Supplementary
Materials
section.
Environmental Challenges,
Journal Year:
2022,
Volume and Issue:
7, P. 100467 - 100467
Published: Jan. 28, 2022
Due
to
rapid
economic
growth
and
development,
human
demand
for
natural
resources
is
growing
in
Bangladesh,
which
causes
climate
change,
loss
of
biodiversity,
soil
degradation,
environmental
hazard.
Few
studies
have
been
conducted
investigate
the
determinants
ecological
footprint
air
quality
(PM2.5)
Bangladesh
between
1990
2016.
This
paper
also
investigates
existence
EKC
hypothesis
both
PM2.5
case.
Single
structural
break
analysis
has
employed
know
point
while
estimating
integration
each
variable.
After
integration,
we
ARDL
bound
testing
approach
co-integration
show
long
run
relationship
among
urbanization,
resources,
population
density,
growth,
PM2.5.
For
robustness
about
variables,
employ
Bayer
Hanck
joint
co-integration.
The
results
from
models
demonstrate
that
density
energy
consumption
are
major
However,
technological
innovation
reducing
provide
evidence
case
Bangladesh.
study
suggested
some
important
policy
implications
regarding
sustainability.
Environment International,
Journal Year:
2022,
Volume and Issue:
165, P. 107304 - 107304
Published: May 25, 2022
To
alleviate
the
ecological
and
environmental
problems
caused
by
rapid
urban
development,
China
has
formulated
implemented
new-type
urbanization
strategy.
However,
there
is
insufficient
empirical
research
on
specific
relationship
between
air
pollution.
Therefore,
based
panel
data
of
30
provinces
in
from
2005
to
2018,
this
paper
constructs
a
comprehensive
evaluation
index
system
using
five
dimensions
population,
economy,
space,
society,
green.
The
spatial
Durbin
model
mediating
are
used
discuss
effect,
transmission
mechanism,
regional
heterogeneity
results
show
that
China's
pollution
mainly
presents
pattern
high-high
agglomeration
low-low
agglomeration,
fluctuations.
construction
significantly
reduces
local
pollution,
industrial
structure
optimization,
technological
innovation,
energy
adjustment
considered
as
important
mechanisms.
under
fiscal
decentralization
political
tournament
China,
policy
implementation
deviation
may
weaken
emission
reduction
effect
urbanization,
which
not
conducive
governance.
From
sub-regional
level,
impact
heterogeneity.
A
robustness
test
confirms
reliability
our
conclusions.
This
study
also
proposes
some
suggestions
government
can
utilize
grasping
focus
discover
effective
ways
controlling
Ecological Indicators,
Journal Year:
2022,
Volume and Issue:
144, P. 109436 - 109436
Published: Sept. 15, 2022
Accurately
analyzing
the
spatial
and
temporal
evolution
of
regional
eco-environmental
quality
exploring
response
to
natural
environment
human
factors
are
essential
protect
ecological
environment.
This
study
analyzed
environmental
Chang-Zhu-Tan
metropolitan
circle,
central
China
from
2000
2020
based
on
Google
Earth
Engine
(GEE)
Remote
Sensing
Ecological
Index
(RSEI).
Subsequently,
we
introduced
Partial
Least
Squares
Structural
Equation
Model
(PLS-SEM)
explore
RSEI
direct
indirect
effects
anthropogenic
factors,
assessed
autocorrelation
quality.
The
results
showed
that
mean
value
in
area
was
showing
an
increasing
trend,
with
lowest
2010
(0.6508)
highest
(0.6948).
level
mainly
good
excellent,
average
accounted
for
more
than
70%
total
area,
upward
trend
during
2000–2020.
Climate,
soil,
terrain,
urbanization
had
different
environment,
climate,
terrain
positive
while
negative
it.
effect
climate
gradually
weakened,
strengthened.
Climate
weakened
soil
degrees.
provides
a
method
rapid
accurate
assessment
exploration
complex
interaction
pathways
influencing
which
is
balancing
relationship
between
development
nature.
