Analysis of the significance and gender differences in the factors influencing antisocial behaviors among adolescents
Wenze Sui,
No information about this author
Yan Gao,
No information about this author
Liangyu Zhao
No information about this author
et al.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 3, 2025
Abstract
Adolescent
antisocial
behavior
not
only
has
an
adverse
effect
on
the
healthy
development
of
adolescents
but
also
poses
a
threat
to
social
order
and
public
safety.
The
study
included
18,470
high
school
students
during
2020–2023
year
as
participants.
Random
forest
was
used
assess
importance
influencing
factors,
binary
logistic
regression
analysis
conducted
top
eight
identified
factors.The
participants,
consisting
8,867
boys
9,603
girls.
results
showed
that
parents'
educational
expectations
(boys:
OR
=
0.942,
girls:
0.903)
smoking
1.055,
1.066)
were
common
factors
affecting
in
both
boy
girl
adolescents.
number
good
friends
(OR
1.122),
current
place
residence
1.039),
engage
regular
physical
activity
0.916)
specific
for
adolescents'
behavior,
while
family
economic
conditions
1.092)
factor
behavior.
showcases
Forest
Model
Logistic
can
effectively
identify
analyze
model
performance
is
good.
their
effects
show
gender
differences.
Therefore,
we
should
formulate
targeted
prevention
improvement
measures
anti-social
behaviors.
Language: Английский
Analysis of the significance and gender differences in the factors influencing antisocial behaviors among adolescents
Wenze Sui,
No information about this author
Yan Gao,
No information about this author
Liangyu Zhao
No information about this author
et al.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: April 29, 2025
Adolescent
antisocial
behavior
not
only
has
an
adverse
effect
on
the
healthy
development
of
adolescents
but
also
poses
a
threat
to
social
order
and
public
safety.
The
study
included
18,470
high
school
students
during
2020-2023
year
as
participants.
Random
forest
was
used
assess
importance
influencing
factors,
binary
logistic
regression
analysis
conducted
top
eight
identified
factors.
participants,
consisting
8867
boys
9603
girls.
results
showed
that
parents'
educational
expectations
(boys:
OR
=
0.942,
girls:
0.903)
smoking
1.055,
1.066)
were
common
factors
affecting
in
both
boy
girl
adolescents.
number
good
friends
(OR
1.122),
current
place
residence
1.039),
engage
regular
physical
activity
0.916)
specific
for
adolescents'
behavior,
while
family
economic
conditions
1.092)
factor
behavior.
showcases
Forest
Model
Logistic
can
effectively
identify
analyze
model
performance
is
good.
their
effects
show
gender
differences.
Therefore,
we
should
formulate
targeted
prevention
improvement
measures
anti-social
behaviors.
Language: Английский