Cancers,
Journal Year:
2023,
Volume and Issue:
15(6), P. 1770 - 1770
Published: March 15, 2023
A
known
cut-off
problem
hampers
the
interpretation
of
quality
life
(QOL)
scores.
The
purpose
this
study
was
to
apply
a
novel
approach
for
EORTC
QLQ-C30
instrument
identify
proportion
breast
cancer
(BC)
patients
in
need
supportive
care.
Changes
QOL
during
COVID-19
pandemic
were
evaluated,
as
well
changes
over
time
(after
treatment
termination
and
up
4
years
later).
Data
obtained
from
cohort
on
young
adult
BC
with
minor
children
participating
mother–child
rehab
program.
Cross-sectional
data
collected
2015
2021
(baseline).
Follow-up
available
after
diagnosis
subgroup.
baseline
included
853
women
(mean
age
35
years).
More
than
50%
had
In
subgroup
follow-up,
remained
at
high
level
several
diagnosis.
During
pandemic,
regarding
not
expected—with
exception
scale
‘role
functioning’
(+15%).
Even
diagnosis,
every
second
patient
care,
which
is
much
higher
previously
found.
Healthcare
staff
should
be
aware
potential
address
issue.
The
impact
of
the
COVID-19
pandemic
on
mental
health
is
challenging
to
quantify
because
factors
such
as
pre-existing
risk,
disease
burden,
and
public
policy
varied
across
individuals,
time,
regions.
To
understand
dynamic
relationships
between
these
factors,
we
analyzed
time-varying
associations
psychiatric
vulnerability,
loneliness,
psychological
distress,
social
distancing
in
a
longitudinal
study
during
first
year
pandemic.
Participants
(n
=
3655)
were
surveyed
regarding
outcomes
COVID-19-related
circumstances
every
two
weeks
for
six
months.
We
combined
self-reported
outcomes,
regional
estimates,
vulnerability
classifier
that
predicted
probabillity
diagnosis
at
time
enrollment.
Loneliness
both
impacted
distress.
distress
also
linked
distancing,
loneliness
fully
mediated
distancing’s
Future
policies
should
address
when
encouraged,
particularly
those
risk
conditions.
Population Health Metrics,
Journal Year:
2024,
Volume and Issue:
22(1)
Published: Oct. 7, 2024
Regional
variations
in
SARS-CoV-2
infection
were
observed
Canada
and
other
countries.
Studies
have
used
multilevel
analyses
to
examine
how
a
context,
such
as
neighbourhood,
can
affect
the
rates
of
people
within
it.
However,
few
studies
quantified
magnitude
general
contextual
effect
(GCE)
assessed
it
may
be
associated
with
individual-
area-level
characteristics.
To
address
this
gap,
we
will
illustrate
application
median
rate
ratio
(MRR)
Poisson
analysis
for
quantifying
GCE
Ontario,
Canada.
Archives of Public Health,
Journal Year:
2024,
Volume and Issue:
82(1)
Published: Nov. 18, 2024
This
study
aims
to
assess
which
population
groups
experienced
the
heaviest
mortality
burden
during
first
three
COVID-19
waves
in
Belgium;
and
investigate
potential
changes
social
differences
all-cause
epidemic
compared
pre-COVID
period.
Exhaustive
information
(2015–2021)
from
Belgian
register
was
linked
demographic
socioeconomic
census
data.
Annual
cohorts
consisting
of
6.5
million
6.8
persons
were
created
selecting
aged
35
older.
Excess
investigated
comparing
137,354
deaths
observed
with
reference
period
2015–2019.
Methods
analysis
include
direct
standardization
Poisson
regression
analyses.
Elderly
men
highest
absolute
all
COVID-waves,
followed
by
elderly
women,
middle-aged
men,
women.
Care
home
residents
consistently
higher
rates
second
wave
peers
living
other
arrangements.
In
3,
care
showed
significant
deficits
When
adjusting
for
factors,
traditional
pattern
educational
income
inequalities
found
among
COVID-waves.
contrast,
gap
deepened
COVID-waves
2
3
excess
between
19
30%
mainly
lower-educated
persons.
Income
women
remained
stable
or
even
diminished
some
specific
waves.
The
widening
successive
suggest
an
important
role
knowledge
associated
resources
epidemic.
Belgium's
broad
implementation
public
health
control
prevention
measures
may
have
successfully
averted
a
further
inequality
population.
Cancers,
Journal Year:
2023,
Volume and Issue:
15(6), P. 1770 - 1770
Published: March 15, 2023
A
known
cut-off
problem
hampers
the
interpretation
of
quality
life
(QOL)
scores.
The
purpose
this
study
was
to
apply
a
novel
approach
for
EORTC
QLQ-C30
instrument
identify
proportion
breast
cancer
(BC)
patients
in
need
supportive
care.
Changes
QOL
during
COVID-19
pandemic
were
evaluated,
as
well
changes
over
time
(after
treatment
termination
and
up
4
years
later).
Data
obtained
from
cohort
on
young
adult
BC
with
minor
children
participating
mother–child
rehab
program.
Cross-sectional
data
collected
2015
2021
(baseline).
Follow-up
available
after
diagnosis
subgroup.
baseline
included
853
women
(mean
age
35
years).
More
than
50%
had
In
subgroup
follow-up,
remained
at
high
level
several
diagnosis.
During
pandemic,
regarding
not
expected—with
exception
scale
‘role
functioning’
(+15%).
Even
diagnosis,
every
second
patient
care,
which
is
much
higher
previously
found.
Healthcare
staff
should
be
aware
potential
address
issue.