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Problematic Behaviors and Predicting Online Risk Behaviors in High School Students
Elizabeth B Dowdell1, Raina V Lamade2, Austin F Lee3,4
1M. Louise Fitzpatrick College of Nursing, Villanova University, Villanova, PA, USA.
Summary
Adolescent behavioral wrongdoing and bullying experiences predict online risk-taking behaviors in high school students. Understanding these links is crucial for promoting adolescent health and well-being.
Area of Science:
- Adolescent Psychology
- Cyberpsychology
- Digital Well-being
Background:
- Offline and online adolescent behaviors are often studied in isolation.
- The predictive relationship between offline problem behaviors and online risk-taking remains unclear.
- Adolescent health and well-being strategies require understanding the interplay between digital and real-world conduct.
Purpose of the Study:
- To investigate which offline problem behaviors predict online risk-taking among high school students.
- To identify common behavioral predictors for adolescent online risk behaviors.
- To inform the development of targeted interventions for adolescent health.
Main Methods:
- Utilized a 2009 dataset comprising 2,077 high school students (grades 9-12).
- Examined five categories of offline problematic behaviors: academic issues, anxiety, behavioral wrongdoing, bullying, and social-emotional challenges.
- Classified nine types of online risks, including sexting, online harassment, and exposure to sexual content.
Main Results:
- Behavioral wrongdoing (e.g., fighting, theft, police trouble) significantly predicted all nine online risk behaviors.
- Experiencing bullying (as a perpetrator or victim) was a significant predictor in six of the nine online risk models.
- These findings highlight specific offline behaviors as key indicators of online risk-taking.
Conclusions:
- Offline behavioral wrongdoing and bullying experiences are significant predictors of adolescent online risk-taking.
- Identifying these common problem behaviors is essential for developing effective strategies to promote adolescent health.
- Interventions should consider the interconnectedness of offline and online adolescent behaviors for comprehensive well-being support.
Keywords:
adolescentspredictive modelproblem behaviorsquantitative researchscreening/risk identificationsocial mediaMore Related Videos
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