Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Dec. 6, 2023
Abstract
Osteoporosis
is
emerging
as
a
growing
public
health
concern
worldwide
due
to
the
aging
population,
and
metal
exposure
widely
recognized
risk
factor
for
human
health.
However,
studies
on
relationship
between
bone
yield
inconsistent
results.
Limited
epidemiological
research
exists
associations
of
mixtures
with
osteopenia
osteoporosis,
particularly
among
ethnic
minorities
in
China.
We
conducted
study
9206
Chinese
(Dong
Miao)
aged
30–79
years
using
data
from
Multi-Ethnic
Cohort
Study
(CMCS)
baseline
survey
database.
utilized
inductively
coupled
plasma
mass
spectrometry
(ICP-MS)
measure
concentrations
11
metals
urine
quantitative
ultrasound
mineral
density
(BMD).
Multivariate
logistic
regression
model,
Quantile
g-computation
Principal
component
analysis
were
used
explore
correlation
single-metal
mixture
osteoporosis.
In
urinary
As,
Cd,
Cr,
Fe,
Hg
Mn
positively
associated
osteopenia.
Conversely,
Co
Zn
negatively
Urinary
Cr
while
V
was
addition,
g-comptation
showed
that
identified
principal
1,
characterized
by
Fe
Mn,
3,
These
findings
suggest
co-exposure
polymetals
affects
occurrence
development
warranting
further
investigation
into
complex
mechanisms
involved.
Human Reproduction,
Journal Year:
2024,
Volume and Issue:
39(12), P. 2816 - 2829
Published: Oct. 15, 2024
What
are
the
roles
of
maternal
preconception
diabetes
and
related
periconceptional
hyperglycemia
on
risk
major
congenital
malformations
(MCMs)
in
offspring?
Frontiers in Public Health,
Journal Year:
2022,
Volume and Issue:
10
Published: June 14, 2022
The
objective
of
this
project
was
to
explore
the
distribution
and
related
factors
blood
lead
association
between
hepatitis
B
core
antibody
(HBcAb).
All
data
were
from
U.S.
National
Health
Nutrition
Examination
Survey
(NHANES).
In
total,
15,097
(aged
20-80
years)
participants
included.
Participants
without
a
history
transfusion
more
likely
be
exposed
lower
levels
[-2.30
(-3.13,
-1.47)
for
HBcAb
(-)
-2.23
(-4.54,
0.08)
(+)].
odds
ratio
(OR)
(+)
increased
with
result
1.09
(1.06,
1.12).
This
study
showed
that
older
adults,
men,
people
education
level,
family
income
poverty
(PIR),
body
mass
index
(BMI),
or
transfusion,
who
lived
companion
total
number
in
>3,
living
United
States
longer
time,
citizens
by
birth
naturalization,
not
born
associated
higher
exposure,
had
positive
(+).
Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Feb. 1, 2023
Abstract
Background
It
has
been
reported
that
metal
exposure
is
associated
with
the
risk
of
diabetes,
but
results
are
inconsistent.The
relationship
between
diabetes
and
a
single
might
be
attenuated
or
strengthened
due
to
complex
interactions
metals
chronic
diseases
comorbidity
(especially
in
elderly).
However,
evidence
multiple
effect
participants
only
limited,
particularly
elderly.
The
present
case-control
study
188
diabetic
376
healthy
aimed
evaluate
potential
relationships
concentrations
9
urine
access
interactive
effects
Chinese
community-dwelling
Methods
levels
(cobalt,
zinc,
copper,
arsenic,
molybdenum,
cadmium,
tellurium,
thallium,
lead)
were
detected
by
inductively
coupled
plasma
mass
spectrometry
(ICP-MS)
564
adults
recruited
from
Yinchuan
Community
Health
Service
Center
(Yinchuan,
China).Logistic
regression
restricted
cubic
spline
(RCS)
analysis
used
explore
associations
dose-response
diabetes.
To
multi-metal
exposures
risk,
weighted
quantile
sum
Models
(WQS)
Bayesian
Kernel
Machine
Regression
(BKMR)
model
applied.
Results
cobalt,
thallium
lead
higher
group
(p
<
0.05).
In
logistic
analysis,
we
found
OR
values
urinary
quartiles
showed
an
increasing
trend.
single-metal
model,
adjusted
ORs(95%CI)
highest
2.94(1.72,5.05)
for
cobalt,5.05
(2.85,8.93)
2.28(1.32,3.91)
1.99(1.15,3.43)
2.61(1.54,4.43)
2.89(1.68,4.96)
2.52(1.44,4.41)
3.53(2.03,6.12)
2.18(1.27,3.75)
compared
lowest
quartile.
And
RCS
nonlinear
(
P
-overall
0.05,
-nonlinear
multi-pollutant
models
all
indicated
mixture
was
positively
Zn
Tl
major
contributors
combined
effect.
Conclusion
Elevated
increased
There
positive
interaction
on
The Journal of AMD,
Journal Year:
2023,
Volume and Issue:
26(1), P. 6 - 6
Published: June 1, 2023
Gli
interferenti
endocrini
rappresentano
una
categoria
di
sostanze,
sia
origine
naturale
che
sintetica,
capaci
interferire
con
i
sistemi
ormonali
a
vari
livelli.
La
loro
presenza
nell’ambiente,
spesso
persistente,
aumenta
il
rischio
esposizione
umana
potenziali
effetti
negativi
sulla
salute.
In
particolare,
alcuni
sembrano
avere
la
capacità
alterare
l’omeostasi
glicemica,
portando
conseguenze
dannose
sul
metabolismo
glicidico
e
aumentando
sviluppare
diabete
mellito.
Tra
gli
questo
tipo
si
annoverano
metalli
pesanti,
pesticidi,
bisfenoli,
PBDE
ftalati.
Tuttavia,
nono[1]stante
alcune
evidenze
suggeriscano
un’associazione
tra
l’esposizione
questi
le
alterazioni
glicemiche,
scientifiche
finora
raccolte
sono
contrastanti.
Inoltre,
non
è
ancora
ben
compreso
meccanismo
fisiopatologico
attraverso
quale
queste
sostanze
in
grado
provocare
tali
alterazioni.
Pertanto,
ulteriori
studi
necessari
per
approfondire
comprensione
dell’associazione
agli
al
fine
delineare
meglio
meccanismi
fisiopatologici
sottostanti.
PAROLE
CHIAVE
endocrini;
diabete;
pesticidi;
pesanti;
bisfenolo
A.
Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Dec. 6, 2023
Abstract
Osteoporosis
is
emerging
as
a
growing
public
health
concern
worldwide
due
to
the
aging
population,
and
metal
exposure
widely
recognized
risk
factor
for
human
health.
However,
studies
on
relationship
between
bone
yield
inconsistent
results.
Limited
epidemiological
research
exists
associations
of
mixtures
with
osteopenia
osteoporosis,
particularly
among
ethnic
minorities
in
China.
We
conducted
study
9206
Chinese
(Dong
Miao)
aged
30–79
years
using
data
from
Multi-Ethnic
Cohort
Study
(CMCS)
baseline
survey
database.
utilized
inductively
coupled
plasma
mass
spectrometry
(ICP-MS)
measure
concentrations
11
metals
urine
quantitative
ultrasound
mineral
density
(BMD).
Multivariate
logistic
regression
model,
Quantile
g-computation
Principal
component
analysis
were
used
explore
correlation
single-metal
mixture
osteoporosis.
In
urinary
As,
Cd,
Cr,
Fe,
Hg
Mn
positively
associated
osteopenia.
Conversely,
Co
Zn
negatively
Urinary
Cr
while
V
was
addition,
g-comptation
showed
that
identified
principal
1,
characterized
by
Fe
Mn,
3,
These
findings
suggest
co-exposure
polymetals
affects
occurrence
development
warranting
further
investigation
into
complex
mechanisms
involved.