medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Ноя. 17, 2022
Abstract
Objectives
The
mental
health
impacts
of
the
COVID-19
pandemic
continue
to
be
documented
worldwide
with
systematic
reviews
playing
a
pivotal
role.
Here
we
present
updated
findings
from
our
review
and
meta-analysis
on
among
hospital
healthcare
workers
during
COVID-19.
Methods
We
searched
MEDLINE,
CINAHL,
PsycINFO,
Embase
Web
Of
Science
Core
Collection
between
1st
January
2000
17
th
February
2022
for
studies
using
validated
methods
reporting
prevalence
diagnosed
or
probable
disorders
in
pandemic.
A
proportions
odds
ratio
was
performed
random
effects
model.
Heterogeneity
investigated
test
subgroup
differences
95%
prediction
intervals.
Results
included
401
studies,
representing
458
754
participants
across
58
countries.
Pooled
depression
28.5%
(95%CI:
26.3-30.7),
anxiety
28.7%
26.5-31.0),
PTSD
25.5%
22.5-28.5),
alcohol
substance
use
disorder
25.3%
13.3-39.6)
insomnia
24.4%
19.4-29.9).
Prevalence
rates
were
stratified
by
physicians,
nurses,
allied
health,
support
staff
students,
which
varied
considerably.
There
significantly
higher
women,
those
working
high-risk
units
providing
direct
care.
Limitations
Majority
used
self-report
measures
reflected
rather
than
actual
diagnosis.
Conclusions
These
have
enhanced
understanding
at-risk
groups
hospitals.
Targeted
research
towards
these
risks
are
recommended
mitigate
any
long-term
consequences.
Long-term
deterioration
in
the
mental
health
of
healthcare
workers
(HCWs)
has
been
reported
during
and
after
COVID-19
pandemic.
Determining
impact
incidence
mortality
rates
on
HCWs
is
essential
to
prepare
for
potential
new
pandemics.
This
study
aimed
investigate
association
with
depressive
symptoms
over
2
years
among
20
countries
Frontiers in Psychology,
Год журнала:
2022,
Номер
13
Опубликована: Июнь 30, 2022
The
COVID-19
pandemic
hit
healthcare
professionals
(HCPs)
hard,
potentially
leading
to
mental
health
deterioration.
This
longitudinal
study
investigated
the
1-year
evolution
of
psychological
acute
care
HCPs
during
and
explored
possible
differences
between
high
low
resilient
HCPs.
From
April
2020
2021,
a
convenience
sample
520
multinational
completed
an
online
survey
every
3
months,
up
five
times.
We
used
mixed
linear
models
examine
association
resilience
variation
COVID-19-related
anxiety,
depressiveness,
perceived
vulnerability,
trauma
symptomatology.
demonstrated
“u-shaped”
trajectories
for
all
symptoms.
also
in
abovementioned
variables
front-line
second-line
In
contrast
HCP.s
with
lower
levels
(-1SD),
those
higher
(+1SD)
showed
increased
anxiety
vulnerability
over
time.
Front-line
differed
their
depressiveness
analysis.
High
average
steeper
increases
time
than
Acute
reported
most
elevated
clinical
symptoms
(5–7%)
symptomatology
(26–46%)
2020.
During
first
year
pandemic,
more
worsening
may
benefit
from
interventions
at
beginning
whereas
might
resilience-enhancing
later
phases.
Trial
Registration
protocol
was
pre-registered
International
Standard
Randomised
Controlled
Number
(ISRCTN13694948)
published
(
Fuchs
et
al.,
).
F1000Research,
Год журнала:
2023,
Номер
12, С. 229 - 229
Опубликована: Март 1, 2023
Background:
Today
COVID-19
is
having
a
dire
effect
on
the
mental
and
physical
health
of
general
population.
Although
long-term
psychological
effects
remain
unknown,
studies
have
shown
increasing
depression,
anxiety
stress
among
healthcare
workers.
The
aim
study
was
to
examine
psychometric
properties
validation
Depression,
Anxiety,
Stress
Scale
(DASS-21)
evaluate
level
anxiety,
workers
in
tertiary
hospital
during
SARS-CoV-2
delta
variant
outbreak.Methods:
Using
an
online
questionnaire,
we
conducted
cross-sectional
1201
hospital.
DASS-21
performed
by
examining
factorial
structure
(construct
validity)
using
confirmatory
factor
analysis
(CFA),
internal
consistency
(reliability),
convergent
validity,
discriminate
validity
measurement
invariance.Results:
Cronbach's
Alpha
acceptable
for
depression
(0.88),
(0.81),
(0.86).
CFA
provides
support
three-factor
oblique
model
with
following
fit
indexes:
(Chi-Square
χ2/
(degrees
freedom)
=
1628.5/(186),
p<
0.001),
comparative
index
(CFI
0.923),
Tucker-Lewis
(TLI
0.901),
standardized
root
mean
square
residual
(SRMR
0.0452)
error
approximation
(RMSEA
0.07).
achieved
both
configural
metric
Conclusions:
Our
results
indicate
that
reliable
valid
self-reporting
screening
tool
This
also
invariant
across
sex,
doctors,
nurses,
non-clinical
Thus
essential
identify
at
higher
risk
developing
work-related
disorders.
The
effects
of
COVID-19
on
mental
health
are
severe.
It
is
widely
acknowledged
that
there
a
link
between
anxiety,
depression,
and
sleep
disorders.
Although
we
aware
such
disorders
can
be
exacerbated
during
an
active
infection,
the
exact
pandemic
relationship
not
yet
clear.
Sleep
appear
to
associated
with
high
levels
typically
disregarded
classified
as
nonspecific
occurrences.
However,
they
should
still
expected
cause
problems.
This
because
conditions
other
problems
often
shared.
chapter
aims
provide
comprehensive
overview
how
anxiety
depression
impacted
pandemic.
also
briefly
explores
prevalence
treatment
options
available
for
these
conditions.
overall
was
higher
compared
before
In
addition,
bidirectionally
significant
associations
were
found
disorders,
depression.
suggests
predict
vice
versa.
Thus,
might
recommend
treating
prevent
from
developing.
medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Ноя. 17, 2022
Abstract
Objectives
The
mental
health
impacts
of
the
COVID-19
pandemic
continue
to
be
documented
worldwide
with
systematic
reviews
playing
a
pivotal
role.
Here
we
present
updated
findings
from
our
review
and
meta-analysis
on
among
hospital
healthcare
workers
during
COVID-19.
Methods
We
searched
MEDLINE,
CINAHL,
PsycINFO,
Embase
Web
Of
Science
Core
Collection
between
1st
January
2000
17
th
February
2022
for
studies
using
validated
methods
reporting
prevalence
diagnosed
or
probable
disorders
in
pandemic.
A
proportions
odds
ratio
was
performed
random
effects
model.
Heterogeneity
investigated
test
subgroup
differences
95%
prediction
intervals.
Results
included
401
studies,
representing
458
754
participants
across
58
countries.
Pooled
depression
28.5%
(95%CI:
26.3-30.7),
anxiety
28.7%
26.5-31.0),
PTSD
25.5%
22.5-28.5),
alcohol
substance
use
disorder
25.3%
13.3-39.6)
insomnia
24.4%
19.4-29.9).
Prevalence
rates
were
stratified
by
physicians,
nurses,
allied
health,
support
staff
students,
which
varied
considerably.
There
significantly
higher
women,
those
working
high-risk
units
providing
direct
care.
Limitations
Majority
used
self-report
measures
reflected
rather
than
actual
diagnosis.
Conclusions
These
have
enhanced
understanding
at-risk
groups
hospitals.
Targeted
research
towards
these
risks
are
recommended
mitigate
any
long-term
consequences.