Nutrition Research Reviews,
Journal Year:
2023,
Volume and Issue:
37(2), P. 416 - 456
Published: Oct. 31, 2023
Abstract
Ultra-processed
food
(UPF)
intake
is
associated
with
increased
non-communicable
disease
risks.
However,
systematic
reports
on
sociodemographic
predictors
of
UPF
are
lacking.
This
review
aimed
to
understand
consumption
based
factors,
using
nationally
representative
cohorts.
The
was
pre-registered
(PROSPERO:CRD42022360199),
following
PRISMA
guidelines.
PubMed/MEDLINE
searches
(‘ultra-processed/ultraprocessed’
and
‘ultra-processing/ultraprocessing’)
until
7
September
2022
retrieved
1131
results.
Inclusion
criteria
included:
observational,
adult
samples,
in
English,
peer-reviewed
journals,
assessing
the
association
between
sociodemographics
individual-level
defined
by
NOVA
classification.
Exclusion
not
representative,
no
assessment
NOVA.
Risk
bias
assessed
Newcastle–Ottawa
Scale
(NOS).
Fifty-five
papers
were
included,
spanning
thirty-two
countries.
All
thirteen
variables
identified
significantly
one
or
more
studies.
Significant
differences
seen
across
age,
race/ethnicity,
rural/urbanisation,
insecurity,
income
region,
up
10–20%
(%
total
energy).
Higher
intakes
younger
urbanisation
being
unmarried,
single,
separated
divorced.
Education,
socioeconomic
status
showed
varying
associations,
depending
country.
Multivariate
analyses
indicated
that
associations
independent
other
sociodemographics.
Household
gender
generally
intake.
NOS
averaged
5·7/10.
Several
characteristics
independently
high
intake,
indicating
large
variation
risk.
These
findings
highlight
significant
public
health
inequalities
urgent
need
for
policy
action
minimise
social
injustice-related
inequalities.
Systematic Reviews,
Journal Year:
2025,
Volume and Issue:
14(1)
Published: March 3, 2025
Ultra-processed
food
(UPF)
consumption
has
been
steadily
increasing
globally,
yet
the
associated
risk
of
all-cause
mortality
remains
unclear.
We
aimed
to
assess
UPFs
via
an
updated
systematic
review
and
dose-response
meta-analysis.
A
comprehensive
literature
search
was
conducted
in
PubMed,
Embase,
Cochrane
Library
for
studies
published
until
July
2,
2024,
addition
referred
included
previous
review.
Prospective
cohort
assessing
association
between
NOVA
classification-defined
UPF
were
included.
Dose-response
meta-analysis
a
random-effect
model
used
combine
results
with
hazard
ratio
(HR)
as
effect
measure.
Overall,
18
1,148,387
participants
(173,107
deaths)
identified.
Compared
lowest,
highest
had
15%
increased
(HR
=
1.15,
95%
CI
1.09–1.22;
I2
83.0%).
Furthermore,
10%
higher
detected
each
increment
1.10,
1.04–1.16;
91.0%).
analysis
showed
positive
linear
(Pdose-response
<
0.001).
Moreover,
subgroups
sensitivity
analyses
indicated
consistent
findings,
while
meta-regression
suggested
sex
distributions
partially
explained
heterogeneity,
males.
Our
meta-analysis,
incorporating
greater
number
newly
using
classification
largest
sample
size
date,
strengthens
evidence
linking
risk.
Strategies
such
dietary
guidelines
policies
limiting
worldwide
should
be
encouraged.
PROSPERO
CRD42023467226.
Nutrition Research Reviews,
Journal Year:
2023,
Volume and Issue:
37(2), P. 416 - 456
Published: Oct. 31, 2023
Abstract
Ultra-processed
food
(UPF)
intake
is
associated
with
increased
non-communicable
disease
risks.
However,
systematic
reports
on
sociodemographic
predictors
of
UPF
are
lacking.
This
review
aimed
to
understand
consumption
based
factors,
using
nationally
representative
cohorts.
The
was
pre-registered
(PROSPERO:CRD42022360199),
following
PRISMA
guidelines.
PubMed/MEDLINE
searches
(‘ultra-processed/ultraprocessed’
and
‘ultra-processing/ultraprocessing’)
until
7
September
2022
retrieved
1131
results.
Inclusion
criteria
included:
observational,
adult
samples,
in
English,
peer-reviewed
journals,
assessing
the
association
between
sociodemographics
individual-level
defined
by
NOVA
classification.
Exclusion
not
representative,
no
assessment
NOVA.
Risk
bias
assessed
Newcastle–Ottawa
Scale
(NOS).
Fifty-five
papers
were
included,
spanning
thirty-two
countries.
All
thirteen
variables
identified
significantly
one
or
more
studies.
Significant
differences
seen
across
age,
race/ethnicity,
rural/urbanisation,
insecurity,
income
region,
up
10–20%
(%
total
energy).
Higher
intakes
younger
urbanisation
being
unmarried,
single,
separated
divorced.
Education,
socioeconomic
status
showed
varying
associations,
depending
country.
Multivariate
analyses
indicated
that
associations
independent
other
sociodemographics.
Household
gender
generally
intake.
NOS
averaged
5·7/10.
Several
characteristics
independently
high
intake,
indicating
large
variation
risk.
These
findings
highlight
significant
public
health
inequalities
urgent
need
for
policy
action
minimise
social
injustice-related
inequalities.