Obesity,
Journal Year:
2022,
Volume and Issue:
31(2), P. 506 - 514
Published: Dec. 27, 2022
Abstract
Objective
The
goal
of
this
study
was
to
investigate
the
association
between
neighborhood
socioeconomic
status
(NSES)
and
BMI
what
extent
is
moderated
by
availability
fast‐food
(FF)
outlets
pay‐for‐use
physical
activity
(PA)
facilities.
Methods
Baseline
data
adults
in
Lifelines
(
N
=
146,629)
were
linked
Statistics
Netherlands
a
register
using
geocoding
compute,
respectively,
NSES
(i.e.,
low,
middle,
high)
number
FF
PA
facilities
within
1
km
residential
address.
Multivariable
multilevel
linear
regression
analyses
performed
examine
BMI.
Two‐way
three‐way
interaction
terms
tested
moderation
Results
Participants
living
low
areas
had
higher
than
participants
high
(B
[95%
CI]:
0.76
[0.65
0.87])
or
middle
0.40
[0.28
0.51]),
independent
individual
status.
Although
two‐
interactions
NSES,
outlets,
significant,
stratified
did
not
show
consistent
patterns.
Conclusions
People
lower
BMI,
their
found
no
clear
Environmental
factors
that
may
mitigate
differences
should
be
subject
future
research.
American Journal of Health Education,
Journal Year:
2023,
Volume and Issue:
54(6), P. 439 - 450
Published: Oct. 10, 2023
Background
Evidence
suggests
that
adolescent
males’
physical
activity
levels
are
declining
more
rapidly
than
females.
Adolescent
motivation
to
be
physically
active
needs
better
understood
ensure
they
stay
into
adulthood.
Methodist DeBakey Cardiovascular Journal,
Journal Year:
2024,
Volume and Issue:
20(5), P. 37 - 46
Published: Jan. 1, 2024
With
the
growing
evidence
that
connects
urban
environments
with
public
health
outcomes,
role
of
planning
has
become
increasingly
critical
in
addressing
challenges.
Cardiovascular
diseases
(CVDs)
are
leading
cause
mortality
areas
and
worldwide
impacted
by
characteristics
built
environment,
such
as
walkability
nature
exposure.
In
this
literature
view,
we
explore
influence
physical
specifically
green
spaces
walkability,
on
cardiovascular
health.
Results
from
prior
studies
show
a
clear
reduction
disease-related
risk
factors,
morbidity,
neighborhoods
integrate
and/or
walkability.
Cumulative
suggests
(such
parks)
(eg,
safe
sidewalks)
can
significantly
improve
Urban
policies
strategies
prioritize
integration
infrastructure
walkable
designs
contribute
to
improving
residents
while
also
enhancing
overall
well-being
quality
life.
Wellbeing Space and Society,
Journal Year:
2022,
Volume and Issue:
3, P. 100085 - 100085
Published: Jan. 1, 2022
Growing
evidence
shows
the
positive
influence
of
neighbourhood
green
space
on
mental
well-being
among
adults
through
multiple
health
behaviours,
but
similar
studies
are
lacking
for
adolescents.
Data
were
drawn
from
2019
wave
Youth2000
survey
series
in
Aotearoa,
New
Zealand
with
secondary
school
students
(aged
10-19
years)
city
Tamaki
Makaurau,
Auckland.
Emotional
was
measured
World
Health
Organization-5
Well-being
Index,
and
depressive
symptoms
assessed
using
Reynolds
Adolescent
Depression
Scale-short
form.
Neighbourhood
three
different
measures:
percentage
space,
Normalised
Difference
Vegetation
Index
(NDVI)
distance
to
nearest
place
residence.
Exposure
areas
these
measures
calculated
Euclidean
buffers
100m,
300m,
800m
1600m
around
participants'
meshblock
residential
addresses.
Three
mediating
(physical
activity,
social
cohesion,
sleep)
ten
control
variables
(in
adjusted
models)
included
path
analysis
test
direct
indirect
relationships
between
adolescent
well-being.
In
unadjusted
models,
had
a
negative
relationship
emotional
well-being,
inconsistent
effects
NDVI
detected
buffers.
Minor
physical
activity
sleep
also
found.
Depressive
more
strongly
related
other
individual
factors
(e.g.,
deprivation).
After
adjusting
variables,
no
significant
associations
identified.
Urban
does
not
appear
be
dominant
factor
contributing
cohesion
sleep.
Appropriate
environmental
needed
take
into
consideration
future
that
explore
space-mental
Obesity,
Journal Year:
2022,
Volume and Issue:
31(2), P. 506 - 514
Published: Dec. 27, 2022
Abstract
Objective
The
goal
of
this
study
was
to
investigate
the
association
between
neighborhood
socioeconomic
status
(NSES)
and
BMI
what
extent
is
moderated
by
availability
fast‐food
(FF)
outlets
pay‐for‐use
physical
activity
(PA)
facilities.
Methods
Baseline
data
adults
in
Lifelines
(
N
=
146,629)
were
linked
Statistics
Netherlands
a
register
using
geocoding
compute,
respectively,
NSES
(i.e.,
low,
middle,
high)
number
FF
PA
facilities
within
1
km
residential
address.
Multivariable
multilevel
linear
regression
analyses
performed
examine
BMI.
Two‐way
three‐way
interaction
terms
tested
moderation
Results
Participants
living
low
areas
had
higher
than
participants
high
(B
[95%
CI]:
0.76
[0.65
0.87])
or
middle
0.40
[0.28
0.51]),
independent
individual
status.
Although
two‐
interactions
NSES,
outlets,
significant,
stratified
did
not
show
consistent
patterns.
Conclusions
People
lower
BMI,
their
found
no
clear
Environmental
factors
that
may
mitigate
differences
should
be
subject
future
research.
