Abstract: Traditional and Cyber Bullying and Sexual Harassment: A Longitudinal Assessment of Risk and Protective Factors (Society for Prevention Research 27th Annual Meeting)

151 Traditional and Cyber Bullying and Sexual Harassment: A Longitudinal Assessment of Risk and Protective Factors

Schedule:
Wednesday, May 29, 2019
Pacific A (Hyatt Regency San Francisco)
* noted as presenting author
Ruth Leemis, MPH, Research Scientist, Centers for Disease Control and Prevention, Atlanta, GA
Dorothy Espelage, PhD, Professor, University of Florida, Gainesville, FL
Kathleen Basile, PhD, Senior Scientist, Centers for Disease Control and Prevention, Atlanta, GA
Laura Kollar, PhD, Behavioral Scientist, Centers for Disease Control and Prevention, Atlanta, GA
Jordan Davis, PhD, Assistant Professor, University of Southern California, Los Angeles, CA
Introduction: Bullying and sexual harassment perpetration are public health problems that co-occur among adolescents. With increased access to technology, adolescents now have opportunities to perpetrate via cell phones and/or computers. Literature has demonstrated that traditional (in-person) and cyber bullying perpetration co-occur, but studies have not yet assessed the co-occurrence of traditional and cyber sexual harassment perpetration among the same adolescents. The present study assessed the overlap of these forms of aggression in high school and identified middle school predictors. We expected that students reporting higher levels of both bullying and sexual harassment perpetration would have more risk factors and less protective factors across the social ecology (i.e., individual, relationship, school/community, societal levels) in middle school than other students.

Methods: Racially diverse middle and high school students in the Midwest (n = 3,549) were surveyed at four time points from Spring 2008 to Spring 2013. A latent class analysis was used to identify classes of individuals according to endorsement of traditional and cyber bullying and sexual harassment perpetration items in high school. Using multinomial logistic regression models, we then assessed late middle school predictors of class membership across different levels of the social ecology based on participants’ perceptions.

Results: Four classes were identified: (1) low all (n=1,261); (2) traditional bullying perpetration (n=604); (3) traditional and cyber bullying perpetration (n=450); and (4) high all, consisting of traditional and cyber bullying and sexual harassment perpetration (n=227). Preliminary results suggest that students with higher levels of anger, pornographic exposure, and traditional masculinity (individual level), and lower levels of social support and parental monitoring (relational level) had increased odds of being in the high all class when compared to the other classes. Surprisingly, higher levels of self-esteem and empathy (individual level) and school belonging (community level) also were associated with increased odds of being in the high all class.

Conclusions: While half of students reported low levels of bullying and sexual harassment, a high-risk group of perpetrators emerged with more associated risk factors in middle school. Interestingly, not all of the protective factors assessed were in the expected direction and this presentation will expand on these findings. Overall, findings suggest that prevention efforts may want to consider addressing both forms of aggression within traditional and online contexts early in adolescence using a multi-level approach across the social ecology.