JMIR Formative Research,
Год журнала:
2020,
Номер
5(1), С. e25372 - e25372
Опубликована: Дек. 9, 2020
Background
Emotional
intelligence
(EI)
and
mindfulness
can
impact
the
level
of
anxiety
depression
that
an
individual
experiences.
These
symptoms
have
been
exacerbated
among
college
students
during
COVID-19
pandemic.
Ajivar
is
app
utilizes
artificial
(AI)
machine
learning
to
deliver
personalized
EI
training.
Objective
The
main
objective
this
research
study
was
determine
effectiveness
delivering
curriculum
techniques
using
AI
conversation
platform,
Ajivar,
improve
Methods
A
total
99
subjects,
aged
18
29
years,
were
recruited
from
a
second-semester
group
freshmen
students.
All
participants
completed
online
TestWell
Wellness
Inventory
at
start
end
14-week
semester.
comparison
members
(49/99,
49%)
given
routine
mental
wellness
instruction.
intervention
(50/99,
51%)
required
complete
activities
in
addition
instruction
semester,
which
coincided
with
onset
This
also
assessments
evaluate
for
anxiety,
7-item
Generalized
Anxiety
Disorder
(GAD-7)
scale,
depression,
9-item
Patient
Health
Questionnaire
(PHQ-9).
Results
Study
reported
mean
age
19.9
(SD
1.94)
years;
27%
(27/99)
male
60%
(59/99)
identified
as
Caucasian.
No
significant
demographic
differences
existed
between
groups.
Subjects
interacted
time
1424
1168)
minutes.
There
decrease
measured
by
GAD-7:
score
11.47
1.85)
compared
6.27
1.44)
(P<.001).
reduction
PHQ-9:
10.69
2.04)
6.69
2.41)
(P=.001).
Both
groups
independently
had
improvements
pretest
posttest.
subgroups
social
awareness
spirituality
inventories
showed
improvement
group.
In
subgroup
(11/49,
22%)
where
GAD-7
available
pandemic,
there
increase
(mean
11.63,
SD
2.16)
mid-March
(ie,
pandemic)
13.03,
1.48;
P=.23),
followed
period
5.9,
1.44;
P=.001).
Conclusions
It
possible
training
scalable
way
resulting
student
population.
Frontiers in Psychology,
Год журнала:
2021,
Номер
12
Опубликована: Март 10, 2021
The
COVID-19
lockdown
has
significantly
disrupted
the
higher
education
environment
within
Netherlands
and
led
to
changes
in
available
study-related
resources
study
demands
of
students.
These
,
uncertainty
confusion
about
educational
activities,
developing
fear
anxiety
disease,
implementation
measures
may
have
a
significant
impact
on
mental
health
As
such,
this
aimed
investigate
trajectory
patterns,
rate
change,
longitudinal
associations
between
resources–demands
141
university
students
from
before
during
lockdown.
present
employed
design
piecewise
latent
growth
modeling
strategy
over
3
month
period.
results
showed
that
moderate
levels
student
decreased
before,
followed
by
substantial
increase
during,
In
contrast,
were
reported
be
stable
throughout
study.
Finally,
trajectories
only
associated
procedures
implemented.
Despite
growing
concerns
relating
negative
psychological
students,
our
shows
initial
remained
relatively
unchanged.
Journal of Affective Disorders Reports,
Год журнала:
2021,
Номер
4, С. 100113 - 100113
Опубликована: Фев. 7, 2021
The
Covid-19
pandemic
has
led
to
drastic
public
health
measures
with
a
substantial
impact
on
the
individual.
Previous
studies
reported
elevated
levels
of
stress,
anxiety,
and
depression
in
general
population
as
consequence
pandemic-related
measures.
In
vulnerable
individuals,
exposure
an
uncontrolled
global
stressor
like
might
be
felt
particularly
threatening.
A
127
healthy
individuals
that
expressed
increased
trait
anxiety
(HADS
≥
8)
already
before
outbreak
were
tested
state
stress
four
weeks
after
Netherlands.
Online
questionnaires
administered
between
April
16
23,
2020.
We
observed
increase
(STAI)
during
but
no
change
depression.
Yet,
did
not
predict
pandemic.
Further,
was
associated
being
contact
infected
person,
having
symptoms
Covid-19,
protective
behavior,
or
degree
social
isolation
when
controlling
for
However,
maladaptive
emotion
regulation
strategies
measured
predicted
perceived
pandemic,
while
adaptive
had
association
Reducing
learned
helplessness
self-blaming
prevent
giving
up
self-devaluation
more
beneficial
than
training
strategies.
Time
variation
baseline
measurements.
Scandinavian Journal of Public Health,
Год журнала:
2021,
Номер
49(7), С. 741 - 749
Опубликована: Май 26, 2021
The
COVID-19
pandemic
has
had
a
profound
effect
on
societies
and
citizens
worldwide,
raising
concerns
about
potential
mental
health
impacts.
We
aimed
to
describe
trajectories
of
depression,
anxiety
stress
symptoms
during
the
outbreak
compared
before
outbreak,
determine
if
were
modified
by
pre-pandemic
loneliness,
poor
sleep
quality
problems.We
conducted
cohort
study
with
1836
Swedish
university
students
entering
13
March
2020,
onset
pandemic,
follow-ups
within
three
(FU1)
six
months
(FU2)
outbreak.
Generalized
Estimating
Equations
used
estimate
mean
differences
in
symptom
levels
over
time-periods,
modifications.We
found
small
scale
(DASS-21)
time.
Compared
depression
increased
0.25
points
21
(95%
CI:
0.04
0.45)
at
FU1
decreased
0.75/21
CI:-0.97
-0.53)
FU2.
Anxiety
from
baseline
0.09/21
-0.24
0.07)
0.77/21
-0.93
-0.61)
Stress
0.30/21
-0.52
-0.09)
1.32/21
-1.55
-1.09)
Students
or
problems
did
not
have
worse
symptoms.Symptom
relatively
stable
first
while
there
was
slight
decrease
summer
months,
probably
due
seasonality
effects.
The
COVID-19
pandemic
has
led
to
changes
in
people’s
private
and
public
lives
that
are
unprecedented
modern
history.
However,
little
is
known
about
the
differential
psychological
consequences
of
restrictions
have
been
imposed
fight
pandemic.
In
a
large
diverse
German
sample
(N
=
1,320),
we
examined
how
individual
differences
(perceived
restrictiveness
government-supported
measures;
global
pandemic-related
appraisals;
subjective
well-being)
were
associated
with
broad
set
faceted
personality
traits
(Big
Five,
Honesty-Humility,
Dark
Triad).
Facets
Extraversion,
Neuroticism,
Openness
among
strongest
most
important
predictors
outcomes,
even
after
controlling
for
basic
socio-demographic
variables
(gender,
age).
These
findings
suggest
depend
on
thus
add
growing
literature
importance
considering
crisis
situations.
JMIR Formative Research,
Год журнала:
2020,
Номер
5(1), С. e25372 - e25372
Опубликована: Дек. 9, 2020
Background
Emotional
intelligence
(EI)
and
mindfulness
can
impact
the
level
of
anxiety
depression
that
an
individual
experiences.
These
symptoms
have
been
exacerbated
among
college
students
during
COVID-19
pandemic.
Ajivar
is
app
utilizes
artificial
(AI)
machine
learning
to
deliver
personalized
EI
training.
Objective
The
main
objective
this
research
study
was
determine
effectiveness
delivering
curriculum
techniques
using
AI
conversation
platform,
Ajivar,
improve
Methods
A
total
99
subjects,
aged
18
29
years,
were
recruited
from
a
second-semester
group
freshmen
students.
All
participants
completed
online
TestWell
Wellness
Inventory
at
start
end
14-week
semester.
comparison
members
(49/99,
49%)
given
routine
mental
wellness
instruction.
intervention
(50/99,
51%)
required
complete
activities
in
addition
instruction
semester,
which
coincided
with
onset
This
also
assessments
evaluate
for
anxiety,
7-item
Generalized
Anxiety
Disorder
(GAD-7)
scale,
depression,
9-item
Patient
Health
Questionnaire
(PHQ-9).
Results
Study
reported
mean
age
19.9
(SD
1.94)
years;
27%
(27/99)
male
60%
(59/99)
identified
as
Caucasian.
No
significant
demographic
differences
existed
between
groups.
Subjects
interacted
time
1424
1168)
minutes.
There
decrease
measured
by
GAD-7:
score
11.47
1.85)
compared
6.27
1.44)
(P<.001).
reduction
PHQ-9:
10.69
2.04)
6.69
2.41)
(P=.001).
Both
groups
independently
had
improvements
pretest
posttest.
subgroups
social
awareness
spirituality
inventories
showed
improvement
group.
In
subgroup
(11/49,
22%)
where
GAD-7
available
pandemic,
there
increase
(mean
11.63,
SD
2.16)
mid-March
(ie,
pandemic)
13.03,
1.48;
P=.23),
followed
period
5.9,
1.44;
P=.001).
Conclusions
It
possible
training
scalable
way
resulting
student
population.