Atmospheric Environment,
Journal Year:
2023,
Volume and Issue:
303, P. 119753 - 119753
Published: April 5, 2023
Fine
particulate
matter
(PM2.5)
air
pollution
exposure
is
associated
with
short
and
long-term
health
effects.
Several
studies
found
differences
in
PM2.5
neighborhood
racial
socioeconomic
composition.
However,
most
focused
on
total
mass
rather
than
its
chemical
components
their
sources.
In
this
study,
we
describe
the
ZIP
code
characteristics
that
drive
disparities
to
attributed
source
categories
both
nationally
regionally.
We
obtained
annual
mean
predictions
of
fourteen
from
spatiotemporal
models
predictor
variables
2010
US
Census,
American
Community
Survey
5-year
estimates.
used
non-negative
matrix
factorization
attribute
five
categories.
fit
generalized
nonlinear
assess
associations
between
predictors
each
category
urban
areas
United
States
(n
=
25,790
zip
codes).
observed
higher
levels
codes
proportions
Black
individuals
lower
status.
Racial
were
mainly
Heavy
Fuel,
Oil
Industrial,
Metal
Processing
Industry
Agricultural,
Motor
Vehicle
Economic
Soil
Crustal
Dust,
Fuel
Upon
further
analysis
through
stratifying
by
regions
within
States,
source-attributed
generally
greater
Western
states.
conclusion,
racial,
socioeconomic,
geographic
inequalities
are
driven
systematic
component
sources
can
inform
quality
improvement
strategies.
American Economic Review,
Journal Year:
2019,
Volume and Issue:
109(12), P. 4178 - 4219
Published: Nov. 26, 2019
We
estimate
the
causal
effects
of
acute
fine
particulate
matter
exposure
on
mortality,
health
care
use,
and
medical
costs
among
US
elderly
using
Medicare
data.
instrument
for
air
pollution
changes
in
local
wind
direction
develop
a
new
approach
that
uses
machine
learning
to
life-years
lost
due
exposure.
Finally,
we
characterize
treatment
effect
heterogeneity
both
life
expectancy
generic
inference.
Both
approaches
find
mortality
are
concentrated
about
25
percent
population.
Journal of the American Heart Association,
Journal Year:
2020,
Volume and Issue:
10(1)
Published: Dec. 31, 2020
Background
Fine
particulate
matter
<2.5
µm
in
diameter
(PM
2.5
)
has
known
effects
on
cardiovascular
morbidity
and
mortality.
However,
no
study
quantified
compared
the
risks
of
incident
myocardial
infarction,
stroke,
ischemic
heart
disease
(IHD)
mortality,
cerebrovascular
mortality
relation
to
long‐term
PM
exposure.
Methods
Results
We
sought
quantitatively
summarize
studies
exposure
risk
IHD
stroke
events
by
conducting
a
review
meta‐analysis
published
December
31,
2019.
The
main
outcomes
were
Random
meta‐analyses
used
estimate
combined
each
outcome
among
studies.
reviewed
69
included
42
meta‐analyses.
In
meta‐analyses,
we
found
that
10‐µg/m
3
increase
was
associated
with
an
increased
23%
for
(95%
CI,
15%–31%),
24%
13%–36%),
13%
11%–15%),
8%
infarction
−1%
18%).
There
insufficient
number
recurrent
conduct
Conclusions
Long‐term
is
stroke.
relationship
suggestive
but
not
conclusive.
More
research
needed
understand
events.
Nanomaterials,
Journal Year:
2022,
Volume and Issue:
12(15), P. 2656 - 2656
Published: Aug. 2, 2022
Air
pollution
exerts
several
deleterious
effects
on
the
cardiovascular
system,
with
disease
(CVD)
accounting
for
80%
of
all
premature
deaths
caused
by
air
pollution.
Short-term
exposure
to
particulate
matter
2.5
(PM2.5)
leads
acute
CVD-associated
and
nonfatal
events,
whereas
long-term
increases
risk
death
reduces
longevity.
Here,
we
summarize
published
data
illustrating
how
PM2.5
may
impact
system
provide
information
mechanisms
which
it
contribute
CVDs.
We
an
overview
PM2.5,
its
associated
health
risks,
global
statistics,
mechanistic
underpinnings
related
mitochondria,
hazardous
biological
effects.
elaborate
association
between
CVD
development
examine
preventive
measures
future
strategies
combating
PM2.5-related
adverse
The
insights
gained
can
critical
guidelines
preventing
pollution-related
CVDs
through
governmental,
societal,
personal
measures,
thereby
benefitting
humanity
slowing
climate
change.
Analytical Chemistry,
Journal Year:
2020,
Volume and Issue:
92(13), P. 8732 - 8740
Published: June 22, 2020
Microplastics
have
been
observed
in
indoor
and
outdoor
air.
This
raises
concern
for
human
exposure,
especially
should
they
occur
small
enough
sizes,
which
if
inhaled,
reach
the
central
airway
distal
lung.
As
yet,
methods
their
detection
not
spectroscopically
verified
chemical
composition
of
microplastics
this
size-range.
One
proposed
method
is
an
automated
spectroscopic
technique,
Raman
spectral
imaging;
however,
generates
large
complex
data
sets.
study
aims
to
optimize
imaging
identification
(≥2
μm)
ambient
particulate
matter,
using
different
chemometric
techniques.
We
show
that
images
analyzed
statistical
approaches
are
appropriate
both
virgin
environmental
≥2
μm
size.
On
basis
sensitivity,
we
recommend
developed
Pearson's
correlation
agglomerative
hierarchical
cluster
analysis
Finally,
applicability
by
identifying
airborne
>4.7
matter
sample
obtained
at
urban
sampling
site
London,
United
Kingdom.
semiquantitative
will
enable
procurement
exposure
concentrations
guiding
future
toxicological
assessments.
Chemical Research in Toxicology,
Journal Year:
2020,
Volume and Issue:
33(5), P. 1110 - 1120
Published: April 17, 2020
Particulate
matter
(PM),
an
important
component
of
air
pollution,
induces
significant
adverse
health
effects.
Many
the
observed
effects
caused
by
inhaled
PM
are
associated
with
oxidative
stress
and
inflammation.
This
association
has
been
linked
in
particular
to
particles'
chemical
components,
especially
inorganic/metal
organic/polycyclic
aromatic
hydrocarbon
(PAH)
fractions,
their
ability
generate
reactive
oxygen
species
biological
systems.
The
transcription
factor
NF-E2
nuclear
erythroid-related
2
(Nrf2)
is
activated
redox
imbalance
regulates
expression
phase
II
detoxifying
enzymes.
Nrf2
plays
a
key
role
preventing
PM-induced
toxicity
protecting
against
damage
review
focuses
on
specific
particularly
dissolved
metals
PAH
roles
inducing
inflammation
cell
animal
models
respect
mitochondria.
Environment International,
Journal Year:
2021,
Volume and Issue:
156, P. 106752 - 106752
Published: July 10, 2021
An
increasing
number
of
studies
have
linked
ambient
air
pollution
to
chronic
kidney
disease
(CKD)
prevalence.
However,
its
potential
effect
modification
by
urbanization
has
not
been
investigated.
Based
on
data
47,204
adults
from
the
China
National
Survey
Chronic
Kidney
Disease
(CKSCKD)
dataset,
night
light
satellite
remote
sensing
and
high-resolution
inversion
products,
present
cross-sectional
study
investigated
association
between
fine
particulate
matter
<2.5
mm
in
diameter
(PM2.5),
nitrogen
dioxide
(NO2),
index
(NLI)
CKD
prevalence
China,
characterized
administrative
classification
NLI
pollutant-health
associations.
Our
results
showed
that
a
10-μg/m3
increase
PM2.5
at
3-year
moving
average,
NO2
5-year
10-U
average
were
significantly
associated
with
increased
odds
[OR
=
1.24
(95
%CI:1.14,
1.35);
OR
1.12
%CI:1.09,
1.15);
1.05
%CI:1.02,
1.07)].
Meanwhile,
associations
more
apparent
medium-urbanized
areas
compared
low-
high-urbanized
areas.
For
instance,
concentration
2-year
was
level
second
2.78
%CI:1.77,
4.36)]
third
quartiles
1.49
1.95)],
lowest
0.96
(95%
CI:
0.73,
1.26)]
highest
0.63
0.39–1.02)]
quartiles.
prevalence,
especially
medium
levels,
suggesting
necessity
strengthening
environmental
management
regions.
Environment International,
Journal Year:
2024,
Volume and Issue:
183, P. 108417 - 108417
Published: Jan. 1, 2024
The
association
of
specific
PM2.5
chemical
constituents
with
childhood
overweight
or
obesity
(OWOB)
remain
unclear.
Furthermore,
the
long-term
impacts
exposure
on
trajectory
children's
body
mass
index
(BMI)
have
not
been
explored.
We
conducted
a
longitudinal
study
among
1,450,830
Chinese
children
aged
6-19
years
from
Beijing
and
Zhongshan
in
China
during
2005-2018
to
examine
associations
its
incident
OWOB
risk.
extracted
five
main
component
Tracking
Air
Pollution
(TAP)
dataset.
Cox
proportional
hazards
models
were
applied
quantify
exposure-response
associations.
further
performed
principal
analysis
(PCA)
handle
multi-collinearity
used
quantile
g-computation
(QGC)
approach
analyze
mixtures.
Additionally,
we
selected
125,863
at
least
8
physical
examination
measurements
combined
group-based
(GBTM)
multinomial
logistic
regression
explore
BMI
Z-score
trajectories
years.
observed
each
interquartile
range
increment
was
significantly
associated
5.1%
increase
risk
(95%
confidence
Interval
[CI]:
1.036-1.066).
also
found
black
carbon,
sulfate,
organic
matter,
often
linked
fossil
combustion,
had
comparable
larger
estimates
effect
(HR
=
1.139-1.153)
than
PM2.5.
Exposure
mass,
nitrate,
ammonium,
matter
carbon
an
increased
odds
being
assigned
persistent
trajectory.
Our
findings
provide
evidence
that
mainly
fuel
combustion
may
perceptible
influence
China.
Moreover,
contributes
lager
trajectories.