The Association between Use of Tobacco, Alcohol, or Cannabis and Metabolic Syndrome
Betty M. Drees,
No information about this author
Pavani Chilamkuri,
No information about this author
Bong Nguyen
No information about this author
et al.
American Journal of Health Behavior,
Journal Year:
2025,
Volume and Issue:
49(1), P. 52 - 63
Published: Jan. 31, 2025
Objectives:
In
this
study,
we
describe
the
relationship
between
metabolic
syndrome
(MetS)
components
and
tobacco
use
other
behavioral
socio-economic
characteristics.
Methods:
We
collected
demographic,
anthropometric,
bioclinical
data
on
961
individuals
at
risk
of
MetS.
categorized
frequency
product
substances
(alcohol
cannabis)
as
never,
occasional,
regular.
used
regression
models
to
assess
substance
with
MetS
Results:
Tobacco
differed
significantly
by
age,
gender,
race,
education,
employment
status.
Regular
was
associated
higher
blood
pressure
(131/85
in
regular
users
compared
127/82
never
users;
p
<
.05).
alcohol
levels
glucose
(p
=
.002)
a
lower
likelihood
meeting
criteria
based
low
HDL
.017).
cannabis
waist
circumference
.006)
level
.027).
Conclusion:
Use
or
impacts
factors.
This
impact
should
be
considered
when
assessing
cardiovascular
disease
making
recommendations
for
lifestyle
changes.
Language: Английский
Type 2 Diabetes Mellitus and Cardiometabolic Prospects: A Rapid Narrative Review
Kona Chowdhury,
No information about this author
Susmita Sinha,
No information about this author
Rahnuma Ahmad
No information about this author
et al.
Cureus,
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 30, 2024
Cardiometabolic
syndrome
(CMS),
type
2
diabetes
mellitus
(T2DM),
and
cardiovascular
diseases
are
among
the
major
altruists
to
international
liability
of
disease.
The
lifestyle
dietary
changes
attributable
economic
growth
have
resulted
in
an
epidemiological
transition
towards
non-communicable
(NCDs)
as
leading
causes
death.
Low-
middle-income
countries
(LMICs)
bear
a
more
substantial
disease
burden
due
limited
healthcare
sector
capacities
address
rapidly
growing
number
chronic
patients.
purpose
this
narrative
review
paper
was
explore
interrelationships
between
CMS,
T2DM,
impairments
context
NCDs,
well
preventative
control
interventions.
role
insulin
resistance,
hyperglycemia,
dyslipidemia
pathogenesis
T2DM
development
severe
highlighted.
This
elaborated
on
pivotal
modifications,
such
healthy
diets
physical
activity,
cornerstones
addressing
epidemics
metabolic
diseases.
Foods
high
calories,
refined
sugar,
red
meat,
processed
ready-to-eat
meals
were
associated
with
amplified
risk
CMS
T2DM.
In
contrast,
based
fruits,
legumes,
vegetables,
whole
grain,
home-cooked
foods
demonstrated
protective
effects
against
Additionally,
psychological
behavioral
approach
highlighted,
especially
regarding
its
impact
patient
empowerment
patient-centered
therapeutic
Language: Английский
Exploratory analysis of the variable response to an intensive lifestyle change program for metabolic syndrome
BMC Primary Care,
Journal Year:
2024,
Volume and Issue:
25(1)
Published: Oct. 1, 2024
Language: Английский
Mindfulness-Based Interventions for Metabolic Syndrome in The Elderly: A Review of Evidence on Psychological and Physiological Outcomes
Pradhiba SPM,
No information about this author
Thephilah Cathrine R,
No information about this author
P Jayanthi
No information about this author
et al.
National Journal of Community Medicine,
Journal Year:
2024,
Volume and Issue:
15(07), P. 606 - 614
Published: July 1, 2024
Background:
Metabolic
syndrome
poses
a
significant
health
challenge
in
the
elderly,
affecting
both
psychological
and
physiological
aspects.
The
application
of
mindfulness
treating
lifestyle
variables
linked
to
risk
cardiovascular
disease
shows
promise
improving
self-awareness,
mood
regulation,
attention
control.
In
addition
lowering
stress,
anxiety,
depression
therapies
have
potential
improve
glycemic
management.
This
study
aims
investigate
efficacy
mindfulness-based
interventions
addressing
this
complex
issue.
Methods:
Cochrane
Library,
Embase,
PubMed/MEDLINE
electronic
databases
were
searched
by
author
find
pertinent
systematic
reviews
meta-analyses.
Results:
A
summary
available
research
review
explores
impact
on
elderly
individuals
with
metabolic
from
years
2011-2023.
Examining
outcomes,
focuses
depression,
quality
life,
key
indicators
such
as
BMI,
cholesterol
levels,
blood
sugar.
Conclusion:
Findings
shed
light
benefits
practices
mental
well-being
positively
influencing
parameters
population.
To
fully
understand
biological
impacts
human
processes,
more
investigation
is
required.
Language: Английский
Food Security and Cardio-Metabolic Risk in Individuals with Metabolic Syndrome
International Journal of Environmental Research and Public Health,
Journal Year:
2024,
Volume and Issue:
22(1), P. 28 - 28
Published: Dec. 29, 2024
This
study
assessed
the
association
of
food
security
with
potential
cardio-metabolic
risk
factors
among
persons
metabolic
syndrome
(MetS).
Data
were
derived
from
baseline
data
a
randomized
controlled
lifestyle
intervention
trial
for
individuals
MetS.
Household
security,
fruit
and
vegetable
intake,
perceived
environment,
stress
collected
using
validated
questionnaires.
Cardio-metabolic
measures
standardized
procedures
included
body
mass
index,
waist
circumference,
blood
pressure,
glucose,
HbA1c,
lipids.
Regression
models
adjusted
demographics,
medication
use,
performed.
Of
total
664
participants
(median
age
56),
majority
female,
non-Hispanic
White,
college-educated,
employed.
Food
insecurity
affected
23%
(n
=
152),
5%
31)
experiencing
very
low
security.
Food-insecure
had
significantly
higher
(p
<
0.001),
lacked
healthy
access
less
likely
to
consume
≥2
servings
vegetables/day
0.003).
HbA1c
was
only
measure
associated
0.007).
The
link
between
elevated
levels
highlights
importance
addressing
improve
health
outcomes
in
MetS
population.
Language: Английский
Development of a Predictive Model for Metabolic Syndrome Using Noninvasive Data and its Cardiovascular Disease Risk Assessments: Multicohort Validation Study (Preprint)
Jin-Hyun Park,
No information about this author
Inyong Jeong,
No information about this author
Gang-Jee Ko
No information about this author
et al.
Published: Oct. 14, 2024
BACKGROUND
Metabolic
syndrome
is
a
cluster
of
metabolic
abnormalities,
including
obesity,
hypertension,
dyslipidemia,
and
insulin
resistance,
that
significantly
increase
the
risk
cardiovascular
disease
(CVD)
other
chronic
conditions.
Its
global
prevalence
rising,
particularly
in
aging
urban
populations.
Traditional
screening
methods
rely
on
laboratory
tests
specialized
assessments,
which
may
not
be
readily
accessible
routine
primary
care
community
settings.
Limited
resources,
time
constraints,
inconsistent
practices
hinder
early
identification
intervention.
Developing
noninvasive
scalable
predictive
model
could
enhance
accessibility
improve
detection.
OBJECTIVE
This
study
aimed
to
develop
validate
for
using
body
composition
data.
Additionally,
we
evaluated
model’s
ability
predict
long-term
CVD
risk,
supporting
its
application
clinical
public
health
settings
intervention
preventive
strategies.
METHODS
We
developed
machine
learning–based
data
from
two
nationally
representative
cohorts:
Korea
National
Health
Nutrition
Examination
Survey
(KNHANES)
Korean
Genome
Epidemiology
Study.
The
was
trained
dual-energy
x-ray
absorptiometry
KNHANES
(2008-2011)
validated
internally
with
bioelectrical
impedance
analysis
2022.
External
validation
conducted
Study
follow-up
datasets.
Five
learning
algorithms
were
compared,
best-performing
selected
based
area
under
receiver
operating
characteristic
curve.
Cox
proportional
hazards
regression
used
assess
risk.
RESULTS
demonstrated
strong
performance
across
cohorts.
Area
curve
values
prediction
ranged
0.8338
0.8447
internal
validation,
0.8066
0.8138
external
1,
0.8039
0.8123
2.
predictions
associated
future
indicating
individuals
classified
as
having
had
1.51-fold
higher
developing
(hazard
ratio
1.51,
95%
CI
1.32-1.73;
<i>P</i><.001).
highlights
potential
utility
this
guiding
interventions.
CONCLUSIONS
diverse
By
enabling
without
tests,
enhances
large-scale
screenings.
supports
proactive
strategies,
potentially
reducing
burden
cardiometabolic
diseases.
Further
research
should
refine
additional
factors
broader
population
maximize
impact.
Language: Английский
Factors associated with male recruitment in a multi-site randomized behavioral clinical trial targeting the metabolic syndrome: analysis of screening and recruitment data from the ELM trial
Trials,
Journal Year:
2024,
Volume and Issue:
25(1)
Published: Dec. 21, 2024
Males
are
underrepresented
in
behavioral
clinical
trials
of
lifestyle.
The
aim
this
exploratory
study
was
to
investigate
factors
associated
with
trial
interest
males
at
different
stages
recruitment
and
overall,
into
a
multi-site
targeting
lifestyle
change
remission
the
metabolic
syndrome.
Similar
analyses
were
performed
for
female
participation
uniqueness
or
consistency
findings
males.
Data
collected
various
an
ongoing
used.
A
series
logistic
regressions
compared
respondents
who
moved
forward
next
step
screening
process
versus
those
did
not.
These
stratified
by
sex.
chi-squared
test
used
directly
compare
proportions
men
women
chose
advance
step.
showed
more
likely
be
self-aware
their
current
health
risk.
Comparison
females
that
tended
lose
earlier
(58.3%
vs.
66.5%
attended
in-person
information
session,
p
<
0.001),
but
proportion
among
demonstrated
initial
similar
women.
Efforts
increase
male
enrollment
will
benefit
from
focus
on
early
recruitment,
aiming
potential
participants'
levels
awareness
As
differ
reasons
they
choose
participate
trial,
should
tailored
sex
maximize
participation.
ClinicalTrials.gov
NCT04036006.
Registered
July
29,
2019.
https://clinicaltrials.gov/study/NCT04036006
Language: Английский