Archives of Public Health,
Journal Year:
2025,
Volume and Issue:
83(1)
Published: April 3, 2025
While
interventions
aimed
at
improving
the
food
habits
of
people
living
with
diabetes,
obesity
or
hypertension
have
been
implemented
and
proven
effective,
we
know
little
about
how
they
produce
effects.
To
develop
meaningful
programs,
it
is
essential
to
identify
elements
that
favor
prohibit
successful
outcomes
mechanisms
work.
Using
a
realist
approach
evaluation,
this
study
assess
diet
support
program
offered
by
community-based
organization
in
Greater
Paris
Region
disadvantaged
women
hypertension.
We
carried
out
qualitative
using
observations
semistructured
interviews
(n
=
12)
supported
organization.
The
data
were
analyzed
thematically
then
cross-sectionally.
intervention-context-actor-mechanism-effect
(ICAMO)
configuration
was
used
structure
analysis
interactions
between
various
components.
identified
three
different
types
effects:
awareness
importance
balanced
(cognitive
change),
initiation
changes
eating
behavior,
significant
habits.
led
these
based
on
empowerment
(strengthening
knowledge
skills,
self-esteem,
participation,
critical
awareness).
also
individual
contextual
factors
either
limited
behavior
(lack
financial
resources,
culinary
habits)
facilitated
them
(having
experienced
health
event,
access
kitchen).
This
contributes
better
understanding
programs
for
change
work
can
overcome
constraints
faced
populations
chronic
disease.
exploration
ICAMO
configurations
enables
us
intervention's
key
characteristics
will
be
relevant
consider
when
replicating
other
contexts
territories.
Frontiers in Medicine,
Journal Year:
2018,
Volume and Issue:
5
Published: July 12, 2018
Introduction:
The
public
health
problem
food
insecurity
also
affects
the
elderly
population.
This
study
aimed
to
estimate
prevalence
of
household
and
its
associations
with
chronic
disease
health-related
quality
life
characteristics
in
individuals
≥65
years
age
living
community
Portugal.
Methods:
data
were
collected
from
Epidemiology
Chronic
Diseases
Cohort
Study
3
(EpiDoC3)
-
Promoting
Food
Security
(2015–2016),
which
was
third
evaluation
wave
EpiDoC
represented
Portuguese
adult
assessed
using
a
psychometric
scale
adapted
Brazilian
Insecurity
Scale.
on
sociodemographic
variables,
disease,
management
self-reported.
Health-related
European
Quality
Life
Survey
(version
validated
for
population).
Logistic
regression
models
used
determine
crude
adjusted
odds
ratios
(for
group,
gender,
region
education).
dependent
variable
perceived
level
security.
Results:
Among
older
adults,
23%
food-insecure
household.
higher
70–74
group
(odds
ratio
(OR)=1.405,
95%
confidence
interval
(CI)
1.392–1.417),
females
(OR=1.545,
CI
1.534–1.556),
those
less
education
(OR=3.355,
3.306–3.404),
low
income
(OR=4,150,
4.091–4.210),
reporting
it
very
difficult
live
current
(OR=16.665,
16.482–16.851).
having
greater
among
households:
diabetes
mellitus
(OR=1.832,
1.818–1.846),
pulmonary
diseases
(OR=1.628,
1.606–1.651),
cardiac
(OR=1.329,
1.319–1.340),
obesity
(OR=1.493,
1.477–1.508),
who
reduced
their
frequency
medical
visits
(OR=4.381,
4.334–4.428),
stopped
taking
medication
due
economic
difficulties
(OR=5.477,
5.422–5.532).
Older
adults
households
had
lower
(OR=
0.212,
0.210–0.214).
Conclusions:
Our
findings
indicated
that
significantly
associated
factors,
values
diseases,
poor
decreased
community.
Nutrients,
Journal Year:
2018,
Volume and Issue:
10(3), P. 361 - 361
Published: March 16, 2018
In
order
to
investigate
the
impact
of
food
insecurity
on
college
students
in
a
highly
health
disparate
region
we
(1)
assessed
prevalence
among
young
adults
at
large,
rural
university
Appalachia,
and
(2)
investigated
relationship
between
behavioral
characteristics
including
academic
performance,
coping
strategies,
money
expenditure.
A
cross-sectional
design
was
used
capture
representative
sample
attending
central
Appalachian
Fall
2016.
The
United
States
Department
Agriculture
(USDA)
Adult
Food
Security
Survey
measure
insecurity.
Independent
variables
include
expenditure
(MES),
strategies
(CSS),
performance
(APS),
demographic,
health,
economic
culinary
variables.
Participant
responses
(n
=
692)
showed
one
third
(36.6%)
respondents
were
food-insecure.
Students
with
higher
scores
for
MES
CSS
had
significantly
odds
being
food-insecure
(odds
ratio
(OR)
2.07;
95%
confidence
interval
(CI)
1.81
2.38
OR
1.20;
CI
1.16
1.23,
respectively).
high
APS
(OR
0.79;
0.73
0.86)
inversely
related
Results
logistic
regression
MES,
CSS,
school
year
remained
significant
predictor
students.
These
findings
suggest
differences
terms
expenditure,
progress
can
be
identify
target
at-risk
promote
student
security
well-being.
Sustainability,
Journal Year:
2020,
Volume and Issue:
12(9), P. 3654 - 3654
Published: May 1, 2020
Food
insecurity
is
a
substantial
problem
in
nearly
every
advanced
capitalist
nation,
with
sizable
portions
of
residents
many
affluent
countries
struggling
to
eat
healthily
day.
Over
time,
very
large
literature
has
developed
that
documents
food
insecurity,
evaluates
programs
meant
reduce
and
proposes
solutions
attenuate
the
problem.
The
purpose
current
review
provide
broad
overview
literature,
including
definitions,
measurement,
areas
study,
impacts
on
health.
Importantly,
this
suggests
there
are
two
major
causes
nations:
economic
inequality
neoliberalism.
diminished
government
responsibility
nations
corresponds
an
increase
feeding
run
by
non-profit
charitable
organizations.
This
concludes
suggesting
that,
while
massive
amount
research
currently
exists,
more
still
needed
address
gaps
when
it
comes
significant
events,
coping
strategies
disadvantaged
populations.
Cadernos de Saúde Pública,
Journal Year:
2018,
Volume and Issue:
34(4)
Published: March 28, 2018
The
aim
of
this
study
was
to
analyze
trends
and
factors
associated
with
food
insecurity
in
Brazil
2004,
2009,
2013,
using
microdata
from
the
National
Household
Sample
Survey
(PNAD).
Food
assessed
Brazilian
Insecurity
Scale.
Independent
variables
were
selected
a
conceptual
model
determination
insecurity,
which
also
used
elaboration
multiple
generalized
linear
models.
results
show
downward
trend
prevalence
2004
especially
for
moderate
severe
17%
(95%CI:
15.7-18.4)
7.9%
2013
7.2-8.7).
Despite
important
decreases
regardless
level
determination,
population
strata
lowest
showed
largest
relative
reduction.
As
they
remained
same
ten
years
covered
by
PNAD
survey,
namely:
North
Northeast
regions,
urban
areas
inadequate
sanitation,
household
density
>
2
persons
per
bedroom,
≤
4
durable
consumer
goods,
households
headed
females,
individuals
<
60
years,
non-whites,
schooling,
being
unemployed.
From
dropped
half,
but
perspective
equity
advances
occurred
unequally
lower
greater
social,
economic,
demographic
vulnerability.O
objetivo
deste
estudo
foi
analisar
tendência
e
fatores
associados
à
insegurança
alimentar
no
Brasil
nos
anos
de
2009
utilizando
microdados
da
Pesquisa
Nacional
por
Amostra
Domicílios
A
avaliada
meio
Escala
Brasileira
Insegurança
Alimentar.
variáveis
independentes
foram
selecionadas
partir
modelo
conceitual
determinação
alimentar,
sendo
esse
também
utilizado
para
elaboração
dos
modelos
lineares
generalizados
múltiplos.
Os
resultados
descrevem
redução
na
prevalência
entre
2004-2013,
especialmente,
quanto
moderada
grave
que
passou
(IC95%:
15,7-18,4)
em
7,9%
7,2-8,7)
2013.
Por
outro
lado,
apesar
das
importantes
reduções
grave,
observou-se
que,
independentemente
do
nível
determinação,
os
estratos
populacionais
com
menor
apresentaram
relativa
maior
magnitude.
Quanto
aos
permaneceram
mesmos
dez
cobertos
pela
PNAD,
eles:
as
macrorregiões
Norte/Nordeste,
área
urbana
(na
presença
saneamento
inadequado),
densidade
domiciliar
pessoas/dormitório,
possuir
bens
consumo
pessoa
referência
domicílio
ser
sexo
feminino,
ter
idade
anos,
raça/etnia
diferente
branca,
escolaridade
estar
desempregada.
Entre
domicílios
brasileiros
situação
caiu
metade;
contudo,
dentro
perspectiva
equidade,
destaca-se
avanços
ocorreram
modo
desigual,
menores
vulnerabilidade
econômica
demográfica.El
este
estudio
fue
analizar
la
tendencia
y
factores
asociados
inseguridad
alimentaria
en
durante
los
años
microdatos
Encuesta
Muestra
Domicilios
La
se
evaluó
mediante
Brasileña
Inseguridad
Alimentaria.
Las
independientes
seleccionaron
determinación
alimentaria,
siendo
también
elaboración
lineales
múltiples.
Los
describen
reducción
prevalencia
cuanto
pasó
un
hasta
otro
pesar
las
reducciones
observó
independientemente
del
nivel
determinación,
poblacionales
con
presentaron
una
mayor
magnitud.
En
permanecieron
mismos
diez
cubiertos
estos:
macrorregiones
(con
presencia
saneamiento
inadecuado),
densidad
domiciliaria
personas/dormitorio,
poseer
bienes
persona
referencia
domicilio
sea
femenino,
tener
edad
años,
raza/etnia
blanca,
escolaridad
desempleada.
domicilios
brasileños
situación
disminuyó
mitad;
obstante,
equidad,
destaca
avances
produjeron
vulnerabilidad
económica
demográfica.
BMC Public Health,
Journal Year:
2017,
Volume and Issue:
17(1)
Published: June 12, 2017
Mixed
evidence
exists
with
respect
to
the
association
between
household
food
insecurity
(HFIS)
and
obesity
in
low-to-middle
income
countries
(LMICs),
particularly
among
women.
This
study
aimed
measure
socioeconomic
correlates
of
HFIS
explores
its
dietary
intake
odds
mothers
Lebanon,
a
middle-income
country
undergoing
nutrition
transition.
A
cross-sectional
was
conducted
representative
sample
households
(n
=
378)
Beirut,
Lebanon.
Surveys
were
completed
children
<18
years.
measured
using
locally-validated,
Arabic-translated
Household
Food
Insecurity
Access
Scale
(HFIAS).
Dietary
assessed
multiple
pass
24-h
recall
method.
Associations
(food
vs
insecure)
socio-demographic
characteristics
reported
crude
adjusted
ratios.
The
consuming
<2/3rd
Reference
Intakes
(DRIs)
for
nutrients
from
secure
insecure
explored.
In
addition,
logistic
regression
analyses
explore
(BMI
≥
30
kg/m2)
at-risk
waist
circumference
(WC
80
cm)
mothers.
found
50%
inversely
associated
mother's
educational
level,
even
after
adjusting
other
variables
(p
<
0.01).
Mothers
significantly
less
dairy
products,
fruits,
nuts
yet
more
breads
sweets;
they
had
higher
DRI's
key
micronutrients
(potassium,
folate,
vitamin
C)
compared
ones.
Adjusting
correlates,
1.73
(95%
CI:
1.02–2.92)
High
prevalence
urban
Lebanese
households.
high
risk
inadequacy
obesity.
Adequate
evidence-based
public
health
strategies
are
needed
reduce
vulnerability
LMIC
settings
alleviate
their
burden
nutrient
Obesity,
Journal Year:
2020,
Volume and Issue:
29(1), P. 143 - 149
Published: Nov. 1, 2020
Objective
Food
insecurity
(a
lack
of
stable
access
to
nutritious
food)
is
reliably
associated
with
poor
diet,
malnutrition,
and
obesity;
however,
the
underlying
mechanisms
are
unclear.
In
this
study,
hypothesis
that
these
relations
explained
by
higher
levels
distress,
which
due
experience
food
insecurity,
unhealthy
coping
behaviors
(eating
high‐calorie
foods,
drinking
alcohol)
was
tested.
Methods
Adults
from
United
Kingdom
(
N
=
604),
who
were
recruited
online
at
banks,
completed
questionnaire
measures
household
physical
stress,
psychological
eating
cope,
diet
quality,
self‐reported
height
weight
calculate
BMI.
Results
Structural
equation
modeling
used
test
hypothesized
relationships,
including
a
multilevel
structural
model
controlling
for
effect
income.
As
predicted,
indirectly
BMI
via
greater
distress
cope.
directly
poorer
but
relationship
not
cope
Conclusions
Our
data
provide
novel
insight
into
being
food‐insecure
how
maladaptive
might
play
some
role
in
association
between
obesity.
British Journal Of Nutrition,
Journal Year:
2016,
Volume and Issue:
116(2), P. 300 - 315
Published: May 18, 2016
Identification
and
characterisation
of
dietary
patterns
are
needed
to
define
public
health
policies
promote
better
food
behaviours.
The
aim
this
study
was
identify
the
major
in
French
adult
population
determine
their
main
demographic,
socio-economic,
nutritional
environmental
characteristics.
Dietary
were
defined
from
consumption
data
collected
second
national
cross-sectional
survey
(2006-2007).
Non-negative-matrix
factorisation
method,
followed
by
a
cluster
analysis,
implemented
derive
patterns.
Logistic
regressions
then
used
demographic
socio-economic
Finally,
profiles
contaminant
exposure
levels
compared
using
ANOVA.
Seven
patterns,
with
specific
behaviours,
identified:
'Small
eater',
'Health
conscious',
'Mediterranean',
'Sweet
processed',
'Traditional',
'Snacker'
'Basic
consumer'.
For
instance,
Health-conscious
pattern
characterised
high
low-fat
light
products.
Individuals
belonging
likely
be
older
have
profile
than
overall
population,
but
more
exposed
many
contaminants.
Conversely,
individuals
Snacker
younger,
consumed
highly
processed
foods,
had
nutrient-poor
limited
number
identified
distinct
behaviours
features.
Paradoxically,
for
potential
risks
cannot
ruled
out.
Therefore,
demonstrated
need
conduct
risk-benefit
analysis
efficient
regarding
diet.