Environment International,
Journal Year:
2023,
Volume and Issue:
175, P. 107919 - 107919
Published: April 8, 2023
Exposure
to
ambient
fine
and
respirable
particulate
matter
is
associated
with
poor
sperm
quality,
but
evidence
for
an
aerodynamic
diameter
≤
1
μm
(PM1)
scarce.
We
aimed
estimate
the
association
between
PM1
exposure
concentration,
count,
total
motility,
progressive
motility
in
Chinese
men.
conducted
a
cross-sectional
study
of
33,221
men
attending
infertility
clinic
Hubei,
China,
2014
2020.
Daily
concentrations
data
were
estimated
from
validated
spatiotemporal
artificial
intelligence
model.
used
multivariate
linear
regression
parameters
during
spermatogenesis
period
after
adjusting
age,
body
mass
index
(BMI),
education,
ever
having
fathered
child,
season
semen
collection.
In
addition,
we
performed
stratified
analysis
assess
whether
was
varied
by
BMI,
educational
attainment.
A
27,854
participants
included
final
analysis.
An
interquartile
range
(17.2
μg/m3)
increase
entire
development
declined
concentration
[-4.39%
(95%
CI:
−7.67%,
−1.12%)]
count
[–23.56%
−28.95%,
−18.18%)],
reduced
[-0.86%
−1.66%,
−0.06%)]
[-2.22%
−3.00%,
−1.43%)].
The
associations
homogeneous
across
subgroups
defined
age
more
pronounced
among
underweight
count.
identified
critical
window
0–9
lag
days,
10–14
70–90
days
before
collection
motility.
Among
especially
ejaculation.
These
results
suggest
that
might
be
novel
risk
factor
impaired
quality.
Environmental Science & Technology,
Journal Year:
2023,
Volume and Issue:
57(46), P. 18282 - 18295
Published: April 28, 2023
Fine
particulate
matter
(PM2.5)
chemical
composition
has
strong
and
diverse
impacts
on
the
planetary
environment,
climate,
health.
These
effects
are
still
not
well
understood
due
to
limited
surface
observations
uncertainties
in
model
simulations.
We
developed
a
four-dimensional
spatiotemporal
deep
forest
(4D-STDF)
estimate
daily
PM2.5
at
spatial
resolution
of
1
km
China
since
2000
by
integrating
measurements
species
from
high-density
observation
network,
satellite
retrievals,
atmospheric
reanalyses,
Cross-validation
results
illustrate
reliability
sulfate
(SO42-),
nitrate
(NO3-),
ammonium
(NH4+),
chloride
(Cl-)
estimates,
with
high
coefficients
determination
(CV-R2)
ground-based
0.74,
0.75,
0.71,
0.66,
average
root-mean-square
errors
(RMSE)
6.0,
6.6,
4.3,
2.3
μg/m3,
respectively.
The
three
components
secondary
inorganic
aerosols
(SIAs)
account
for
21%
20%
14%
(NH4+)
total
mass
eastern
China;
we
observed
significant
reductions
40-43%
between
2013
2020,
slowing
down
2018.
Comparatively,
ratio
SIA
increased
7%
across
except
Beijing
nearby
areas,
accelerating
recent
years.
SO42-
been
dominant
component
China,
although
it
was
surpassed
NO3-
some
e.g.,
Beijing-Tianjin-Hebei
region
2016.
SIA,
accounting
nearly
half
(∼46%)
mass,
drove
explosive
formation
winter
haze
episodes
North
Plain.
A
sharp
decline
concentrations
an
increase
SIA-to-PM2.5
ratios
during
COVID-19
lockdown
were
also
revealed,
reflecting
enhanced
oxidation
capacity
particles.
Circulation,
Journal Year:
2023,
Volume and Issue:
148(4), P. 312 - 323
Published: July 24, 2023
Extreme
temperature
events
(ETEs),
including
heat
wave
and
cold
spell,
have
been
linked
to
myocardial
infarction
(MI)
morbidity;
however,
their
effects
on
MI
mortality
are
less
clear.
Although
ambient
fine
particulate
matter
(PM
Aerosol and Air Quality Research,
Journal Year:
2024,
Volume and Issue:
24(5), P. 230274 - 230274
Published: Jan. 1, 2024
Air
pollution
affects
sustainable
development
of
the
natural
environment
and
social
economy.
In
this
article,
changes
in
air
quality
index
(AQI)
six
pollutants
Hohhot
during
2014–2022
are
analyzed.
The
results
imply
that
annual
average
concentrations
five
(SO2,
PM10,
PM2.5,
NO2,
CO)
AQI
values
declined
year
by
over
2014–2022.
Compared
with
2014,
fell
22.5%
2022.
However,
O3
increased
year.
PM2.5
PM10
were
major
factors
influencing
AQI.
Among
types
atmospheric
pollutants,
relationship
between
NO2
is
strongest,
implying
plays
a
significant
influence
formation
PM2.5.
Meteorological
socio-economic
have
impact
on
quality.
wind
speed
(AWS),
pressure
(AP),
sulfur
dioxide
emissions
(SOE),
nitrogen
oxide
(NOE),
particulate
matter
(PME)
positive
effect
provide
information
great
importance
for
management
City.
Ecotoxicology and Environmental Safety,
Journal Year:
2025,
Volume and Issue:
292, P. 117944 - 117944
Published: March 1, 2025
In
the
context
of
global
warming,
frequency
heat
wave
and
concentration
fine
particulate
matter
(PM2.5)
have
increased,
more
people
are
co-exposed
to
air
pollution
extreme
heat.
However,
interaction
between
PM2.5
on
cardiovascular
disease
(CVD)
mortality
remained
largely
unknown.
We
conducted
a
time-stratified
case-crossover
study
40,169
CVD
deaths
in
Shenzhen,
China
2013
2022.
Meteorological
data
pollutants
information
were
obtained
based
residential
addresses
from
validated
grid
datasets.
A
total
21
definitions
constructed
using
various
relative
temperature
thresholds
durations.
Conditional
logistic
regression
was
used
evaluate
independent
interactive
effects
exposure
mortality.
The
odds
ratios
(ORs)
95
%
confidence
intervals
(CIs)
for
associated
with
waves
ranged
1.17
(95
CI:
1.001,1.36)
1.91
1.42,
2.56).
For
every
increase
10
µg/m³
exposure,
ORs
CI)
1.0283
1.0162,
1.0406)
1.029
1.0169,
1.0413).
There
synergistic
effect
exposures
It
estimated
that
up
2.03
attributable
levels
exceeding
interim
target
4
World
Health
Organization
quality
guidelines
(≥
25
μg/m3),
resulting
816
premature
deaths.
Females
individuals
over
75
years
old
vulnerable
populations.
Heat
individually
synergistically
contributed
increased
risks
Our
findings
indicate
reducing
both
may
yield
significant
health
benefits
prevent
portion
CVDs.
BMC Medicine,
Journal Year:
2024,
Volume and Issue:
22(1)
Published: March 5, 2024
Abstract
Background
Cardiovascular
disease
(CVD)
caused
by
air
pollution
poses
a
considerable
burden
on
public
health.
We
aim
to
examine
whether
lifestyle
factors
mediate
the
associations
of
pollutant
exposure
with
risk
CVD
and
extent
interaction
between
lifestyles
regarding
outcomes.
Methods
included
7000
participants
in
2011–2012
followed
up
until
2018.
The
evaluation
consists
six
as
proxies,
including
blood
pressure,
glucose,
lipids,
body
mass
index,
tobacco
exposure,
physical
activity,
were
categorized
into
three
groups
according
number
ideal
(unfavorable,
0–1;
intermediate,
2–4;
favorable,
5–6).
Satellite-based
spatiotemporal
models
used
estimate
ambient
pollutants
(including
particles
diameters
≤
1.0
μm
[PM
1
],
2.5
10
nitrogen
dioxide
[NO
2
ozone
[O
3
]).
Cox
regression
CVD.
mediation
modification
effects
categories
association
analyzed.
Results
After
adjusting
for
covariates,
per
μg/m
increase
PM
(HR:
1.09,
95%
CI:
1.05–1.14),
1.04,
1.00–1.08),
1.05,
1.03–1.08),
NO
1.11,
1.05–1.18)
was
associated
an
increased
Adherence
healthy
reduced
compared
unfavorable
0.65,
0.56–0.76
intermediate
HR:
0.41,
0.32–0.53
favorable
lifestyle).
Lifestyle
played
significant
partial
mediating
role
contribution
CVD,
proportion
ranging
from
7.4%
14.3%
.
Compared
lifestyle,
relative
excess
due
healthier
reduce
effect
−
0.98
(−
1.52
0.44)
,
0.60
1.05
0.14)
1.84
2.59
1.09)
1.44
2.10
0.79)
2,
1.08,
0.12)
O
Conclusions
partially
mediated
adherence
could
protect
middle-aged
elderly
people
adverse
National Science Review,
Journal Year:
2024,
Volume and Issue:
11(9)
Published: July 29, 2024
ABSTRACT
In
the
past
decade,
China
has
motivated
proactive
emission
control
measures
that
have
successfully
reduced
emissions
of
many
air
pollutants.
For
atmospheric
mercury,
which
is
a
globally
transported
neurotoxin,
much
less
known
about
long-term
changes
in
its
concentrations
and
anthropogenic
China.
this
study,
over
decade
continuous
observations
at
four
Chinese
sites
show
gaseous
elemental
mercury
(GEM)
continuously
increased
until
early
2010s,
followed
by
significant
declines
rates
1.8%–6.1%
yr−1
2022.
The
GEM
decline
from
2013
to
2022
(by
38.6%
±
12.7%)
coincided
with
decreasing
criteria
pollutants
were
larger
than
those
observed
elsewhere
northern
hemisphere
(5.7%–14.2%).
co-benefits
contributed
Hg
led
We
estimated
38%–50%
(116–151
tons)
using
machine-learning
relationship
models.
