Associations of physical activity and sleep with mental health during and post-COVID-19 pandemic in chinese college students: a longitudinal cohort study
Haonan Wang,
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Yixiao Ding,
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Yinghong Dai
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et al.
Comprehensive Psychiatry,
Journal Year:
2025,
Volume and Issue:
139, P. 152591 - 152591
Published: March 14, 2025
The
COVID-19
pandemic
seriously
impacted
people's
lifestyles,
leading
to
changes
in
physical
activity,
sleep
and
mental
health.
This
study
aimed
assess
the
recovery
of
these
indicators
Chinese
university
students
post-COVID-19
pandemic,
explore
association
between
lifestyle
psychological
problems.
A
two-wave
longitudinal
was
conducted
with
2,748
college
Hebei,
China.
Self-report
questionnaires
measured
variables
(depression
symptoms,
anxiety
perceived
stress)
2022
2024.
McNemar
chi-square
test
compared
differences
two
waves.
Additionally,
univariate
multivariate
logistic
regression
analyses
were
performed
examine
independent
joint
associations
behaviors
problems
across
this
period.
Proportion
inactivity
decreased
from
22.5%
16.2%,
poor
quality
reduced
18.3%
16.2%
after
(P
<
0.05).
Depression
symptoms
also
improved
0.05),
while
stress
remained
high
(64.5%).
Compared
consistently
inactive
students,
those
becoming
physically
active
OR
=
0.40,
0.34,
0.56)
persistently
0.43,
0.38,
0.47)
had
symptoms.
However,
adjusting
for
confounders,
activity
health
insignificant
>
Improved
0.42,
0.24,
0.42)
good
0.20,
0.37)
demonstrated
a
protective
effect
fully
demographics
socioeconomic
status.
found
that
persisted.
Although
period,
its
change
not
significantly
associated
adjustments.
reductions
depression
levels,
stress.
These
findings
highlight
importance
post-pandemic
need
targeted
interventions.
Language: Английский
The UNIversity students’ LIFEstyle behaviors and Mental health cohort (UNILIFE-M): Study protocol of a multicenter, prospective cohort study
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 16, 2024
Abstract
Background
Students
enrolling
in
higher
education
often
adopt
lifestyles
linked
to
worse
mental
health,
potentially
contributing
the
peak
age
onset
of
health
problems
early
adulthood.
However,
extensive
research
is
limited
by
focusing
on
single
lifestyle
behaviors,
including
time
points,
within
cultural
contexts,
and
a
set
symptoms.
Methods
The
UNIversity
students’
LIFEstyle
behaviors
Mental
cohort
(UNILIFE-M)
prospective
worldwide
study
aiming
investigate
associations
between
symptoms
during
their
college
years.
UNILIFE-M
will
gather
self-reported
data
through
an
online
survey
(i.e.,
depression,
anxiety,
mania,
sleep
problems,
substance
abuse,
inattention/hyperactivity,
obsessive/compulsive
thoughts/behaviors)
diet,
physical
activity,
use,
stress
management,
social
support,
restorative
sleep,
environment,
sedentary
behavior)
over
3.5
Participants
69
universities
from
28
countries
(300
per
site)
be
assessed
at
university
admission
2023
and/or
2024
academic
year
followed
up
for
1,
2,
Discussion
portrays
unique
opportunity
comprehensively
understand
how
multiple
behavior
trajectories
relate
large
international
students.
Language: Английский
Title: Study protocol for a web-based Mental Health Survey in a Brazilian University Abstract: Background: Global concern for the mental well-being of university students is appropriately on the rise. Prevalence studies worldwide indicate that rates of mental health disorders among young adults attending university have reached 30%, with a staggering 80% of these individuals not receiving proper treatment ((Auerbach et al., 2018)). This not only adversely affects their academic performance but…
Published: June 25, 2024
BACKGROUND
The
mental
health
of
university
students
is
a
widely
recognized
global
concern.
transition
to
life
marks
crucial
developmental
phase
characterized
by
individuation,
the
establishment
new
social
connections,
and
increased
autonomy
responsibility.
This
period
aligns
with
continued,
rapid
brain
development
at
time
when
are
exposed
multiple
risk
factors
known
affect
health,
including
psychosocial
stressors,
recreational
drug
use,
alcohol
binging,
disruptions
in
sleep
patterns.
Mental
disorders
typically
present
before
or
during
young
adulthood,
often
going
unrecognized
for
years,
resulting
significant
delays
receiving
treatment.
Failing
adequately
address
issues
timely
fashion
can
lead
progression
more
complex
outcomes,
such
as
school
dropout,
addiction,
self-harm.
Indeed,
international
prevalence
estimates
reveal
higher
rates
among
college
compared
general
population.
For
example,
multicenter
study
involving
13,984
from
eight
countries,
led
World
Health
Organization
(WHO),
demonstrated
that
one
third
met
clinical
criteria
psychiatric
disorder
previous
year
(Auerbach
et
al.,
2018).
most
frequently
reported
were
depressive
(18.5%)
anxiety
(16.7-18.6%),
followed
(6.8%)
other
substance
use
(3.0%).
Moreover,
approximately
22.6%
experiencing
suicidal
thoughts.
Tragically,
suicide
stands
second
leading
cause
death
within
this
population
(Sivertsen
2019).
presence
linked
numerous
detrimental
consequences
both
short
long
term.
In
term,
individuals
may
experience
decline
their
quality
life,
poorer
academic
performance,
absenteeism
likelihood
course
dropout.
endure
lower
unemployment
rates,
socioeconomic
impairment
(Duffy
2019);
(Dyrbye
2012).
Though
alarming
data
presented
above
derived
studies
conducted
countries
diverse
income
levels,
date,
there
disproportionately
limited
body
evidence
addressing
adults
attending
universities
low
countries.
Brazil,
million
enrolled
2714
education
institutions
(INEP,
2021;
(Power
BI
Report,
n.d.).
few
have
been
Brazil
tended
focus
on
medical
students;
also
unveiling
concerns
about
distress
(Miguel
2021).
37%
under
treatment
4.5%
had
attempted
suicide.
prevalent
diagnoses
depression
(39.1%)
disorders/phobias
(33.2%),
while
severe
like
psychotic
(3.7%)
bipolar
(1.9%)
less
common
(Campos
2017).
Here
we
aim
gaps
current
national
literature.
First,
will
university-aged
country,
namely
Brazil.
addition,
given
plagued
selection
biases
owing
challenge
engaging
otherwise
healthy
research
surveys,
utilize
an
web-based
survey
mitigate
possibility.
another
largely
unexplored
facet
issues,
longitudinal
college.
To
end,
propose
measure
8,028
undergraduate
UniEduK
group.
private
located
two
medium-sized
cities
southeast
(Indaiatuba
Jaguariúna),
offering
courses
technical
fields
(e.g.,
administration,
accounting,
architecture,
law,
engineering)
sciences
medicine,
nursing,
psychology,
biomedicine,
veterinary
medicine).
achieve
goal,
carefully
designed
suitable
Brazilian
Students
considering
three
main
challenges:
large
number
screen
(n
=
8,028),
relatively
budget
resources
available
us,
expected
response
kind
survey.
OBJECTIVE
paper
describe
methods
used
design
be
administered
University.
METHODS
3.1
Overall
based
validated
self-report
questionnaires,
structured
electronic
protocol
repeated
every
year,
evaluating
trajectories
over
time,
incoming
account
any
trends
specific
cohorts
students.
analyzed
cross-sectionally
(with
descriptive
association
analyses
between
different
constructs
measured)
longitudinally
trajectory
level
individual,
area
concentration,
institution).
3.2
Participants/Recruitment
All
UniEduk
8,028)
invited
participate
annually
through
email
message
briefly
explaining
encouraging
participation
via
only
exclusion
related
limitations
accessing
responding
(i.e.,
no
access
devices
internet
connection;
being
illiterate
[both
considered
negligible
occurrence
setting]).
We
devised
several
strategies
aimed
increasing
participation.
conduct
wide
media
campaigns
promote
awareness
concerning
discuss
importance
study.
Second,
professors
all
disciplines
encouraged
remind
engage
Third,
non-responders
non-completers
receive
invitation
reminders
email,
text
(WhatsApp).
Importantly,
informed
spent
count
equivalent
complementary
activity.
these
steps
executed
automatically
anonymously
ensure
students'
privacy.
When
invited,
required
read
sign
consent
twice
year.
They
declining
not
harm
standing
relationship
University
they
invitations.
3.3
Instruments
Research
Requirements
selected
empirically
psychometric
Portuguese
translation,
electronically.
A
typical
dilemma
encountered
type,
tension
having
enough
items
assess
phenotypes
measure,
impact
consuming
engagement
rate
participants.
dilemma,
two-step
strategy
(Figure
1).
first
step,
addition
collecting
sociodemographic
overall
lifestyle/quality
information
(SHORT-SMILE)
(De
Boni
2023),
array
conditions
using
DSM-5
Cross-Sectional
Adult
Symptoms
Scale
Level
1
(DSM-5-TR
Online
Assessment
Measures,
n.d.)
version
Self
Report
Attention
Deficit/Hyperactivity
Disorder
(ASRS-18)
(Kessler
2005)
(Table
participants
scoring
indicated
threshold
domain
detailed
scales.
These
scales
could
relate
depression,
mania,
generalized
anxiety,
sleeping
disorders,
borderline
personality
disorder,
obsessive-compulsive
attention-deficit/hyperactivity
and/or
2).
After
administration
relevant
scales,
participant
option
respond
questionnaire
traits
(i.e,
Big
Five
Inventory
(Roiz
Junior
2023)).
Finally,
total
complete
estimated
20
40
minutes,
depending
domains
assessed.
3.4
Data
Collection
collection
performed
Electronic
Capture
(REDCap),
it
secure
online
platform
management
allows
presentation
generalizable
instruments
database
storage.
support
capture
protecting
anonymity
(Tamuhla
2022).
provides
convenient
“Survey
Queue”
questionnaires
“to-do
list”
so
keep
track
progress.
tracking
initial
participation,
completeness
status,
REDCap
feature
best
suited
automation
communication
process
and,
furthermore,
better
Automated
Invitations.
individual
link
able
choose
how
many
sent
well
periodization.
3.5
Survey
Distribution
Tools
upload
student
straight
file
containing
emails
(provided
university's
sector),
order
generate
unique
ID
each
student.
allow
us
participants’
engagement/completion
rate.
3.6
Reports
Alerts
“Reports
alerts”
tools
built
into
certain
events
outcomes
collected
data.
Our
completion
rates.
establish
which
needed
reports,
apply
logic
filter
our
results.
report
then
queries
records
returns
those
match
criteria.
same
principle
applied
monitoring
2),
security
procedure
answers
PHQ-9
Scales.
Specifically,
set
up
answering
affirmative
either
questions
directly
1)
ideation
2)
plans,
generates
alert
notifying
team.
team
immediately
notifies
healthcare
associated
Upon
notification,
care
contact
offer
them
appropriate
care.
If
does
answer
contact,
call
again
day
days.
accepts
offered
care,
evaluated
psychiatry
professionals
necessary
referrals.
do
agree,
register
non-agreement
end.
3.7
Statistics
As
assessing
(annually)
journey,
methodological
designs
statistical
cross-sectional,
accelerated
cohorts,
traditional
cohorts.
3.7.1
Simple
Analyses
Descriptive
statistics
variables,
reports
divided
categories
interest
enrolled,
data,
etc.).
associations
comparisons
independent
groups
Student's
t-test
(for
variables
normal
distribution),
Mann-Whitney
test
non-normal
ANOVA
(depending
studied).
associate
indices
interest,
dropout
performance.
Linear
logistic
regressions
control
confounding
gender,
age,
status.
anticipated
include,
but
necessarily
to,
following:
comparing
traits,
symptoms
various
university;
exploring
identify
potential
protective
factors.
3.7.2
Accelerated
Cohort
Taking
advantage
sample
size
last
semester
course,
cross-sectional
compare
(or
year)
student,
inferring
possible
changes
beginning
end
course.
purpose,
Generalized
Estimation
Equations
(GEE)
designed,
variable
semester/year
substitute
analyses,
controlling
confounds
3.7.3
Longitudinal
Analyses/Cohort
By
following
analyze
Equations;
detection
nonlinear
variations
turn,
evolution
symptomatology
individuals.
3.8
Ethical
aspects
was
approved
Ethics
Committee
UNIFAJ
Center
(no.
6.153.870,
carried
out
accordance
recommendations
Resolution
no.
466/2012
National
Council
(Conselho
Nacional
de
Saúde,
objectives
methods.
provided
guarantee
confidentiality
anonymity.
Informed
Consent
Form
(ICF)
form.
Participants
instructed
ICF
express
agreement
question:
"Have
you
understood
guidelines
agree
freely,
knowledgeably
spontaneously
research?"
asked
enter
full
name
attached
acceptance
take
part
directed
thank
note
closed.
RESULTS
Discussion:
psychological
well-being
adult
gaining
attention.
appropriate,
major
determinants
success,
personal
development,
future
prospects.
Meanwhile,
existing
literature
suffers
dearth
describes
proposal
systematically
plan
upon
decisions
balance
quality,
precision,
scalability,
cost,
engagement.
Among
challenges
survey,
highlighted
need
aiming
maximum
increase
generalizability.
considerations
addressed
here
ensuring
privacy
interaction
local
services
provide
assistance
cases
emergency
suicide).
strived
cost-efficient
financial
constraints.
proposed
portal
improve
engagement,
integration
reduce
expense
(Donohoe
2012)(Callegaro
2015).
automated
minimizes
paid
researchers
run
reducing
entry
errors
(Alessi
&
Martin,
2010).
since
involves
easier
(Bernard,
2011).
Limitations:
Of
disadvantages
research.
open-ended
cannot
explored
immediate
follow-up
unable
seek
clarification
ambiguous
(Andrews
2003).
issue,
easily
project
have.
Selection
bias
presents
Internet
affected
myriad
income,
geographical
location,
status
age.
(Ball,
2019)(Gulliver
anticipate
serious
accessibility.
has
free
181.8
users
2023,
means
84.3%
(Kemp,
2023);
southeast,
where
is,
even
greater
user
concentration.
WhatsApp
finish
sound,
Brazilians,
around
169
2023).
Thus,
though
fully
possibilities,
maximizes
accessibility
way
consequently,
identifying
participants,
contains
maximize
probability
continue
a)
piques
b)
helps
understand
research,
c)
increases
confidence
participating.
hold
meetings
coordinators
transmit
reaches
Furthermore,
two-minute
video
team,
reason
its
objectives,
details
(application
confidentiality,
freedom
decline)
opportunity
ask
email.
intention
demonstrate
promoting
ensured
platform,
trusted
storage
(Patridge
Bardyn,
2018)
throughout
scientific
community.
long-term
reduction
costs,
possibility
utilization
devices,
entry,
review
analysis
(Walther
include
Each
aims
summarize
integrate
think
intervention
strategies.
noted
Introduction,
paucity
Existing
mainly
(Pacheco
2017)
–
covering
range
degrees
rare.
represents
hub
critically
impacts
responsibilities,
values
(Aceijas
methodology
inform
preventative
measures.
It
established
preventive
actions
feasible,
cost
effective
efficient
improving
(Arango
believe
results
guide
implementation
programs
destined
positive
CONCLUSIONS
College
high
issues.
developed
described
evaluate
detect
reasonable
efforts
near
future,
monitor
efficiency
programs.
model
scaled
across
communities.
CLINICALTRIAL
Study
registration:
registered
Open
Science
Framework
(OSF)
https://doi.org/10.17605/OSF.IO/AM5WS
Language: Английский