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Location
Jiann-Ping Hsu College of Public Health (JPHCOPH)
Session Format
Oral Presentation
Co-Presenters and Faculty Mentors or Advisors
Dr. Gulzar Shah, Faculty Advisor
Abstract
Background/Purpose: Bullying among young people is a growing concern due to its devastating impacts on the victim’s physical and emotional wellbeing. The primary purpose of the current study is to examine the association of race, ethnicity, gender, and other sociodemographic variables with in-school and cyber-bullying.
Methods This cross-sectional study uses data on 13,677 students from the 2019 Youth Risk Behavior Surveillance System (YRBSS) Survey. To examine the association of each of the sociodemographic variables, after controlling for other covariates in the model, logistic regression analyses (to control for socio-demographic characteristics such as age, gender, race/ethnicity.
Results: Twenty-one percent of students were bullied on school property during the past 12 months, whereas 15.9% were bullied in cyberspace. Students 12 years or younger had the highest odds of being bullied in school (AOR, 40.0; CI, 4.8-331.4, p
Conclusion: Our study showed disparities in bullying concerning sociodemographic factors. Anti-bullying programs that are tailored to race, age, and other unique needs should be developed. This may increase the adoption of such programs in different school settings.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Presentation Type and Release Option
Presentation (Open Access)
Recommended Citation
Ikhile, Osaremhen, "Sociodemographic Factors Predicting School and Electronic Bullying Among Young People in the United States" (2021). GS4 Georgia Southern Student Scholars Symposium. 32.
https://digitalcommons.georgiasouthern.edu/research_symposium/2021/2021/32
Sociodemographic Factors Predicting School and Electronic Bullying Among Young People in the United States
Jiann-Ping Hsu College of Public Health (JPHCOPH)
Background/Purpose: Bullying among young people is a growing concern due to its devastating impacts on the victim’s physical and emotional wellbeing. The primary purpose of the current study is to examine the association of race, ethnicity, gender, and other sociodemographic variables with in-school and cyber-bullying.
Methods This cross-sectional study uses data on 13,677 students from the 2019 Youth Risk Behavior Surveillance System (YRBSS) Survey. To examine the association of each of the sociodemographic variables, after controlling for other covariates in the model, logistic regression analyses (to control for socio-demographic characteristics such as age, gender, race/ethnicity.
Results: Twenty-one percent of students were bullied on school property during the past 12 months, whereas 15.9% were bullied in cyberspace. Students 12 years or younger had the highest odds of being bullied in school (AOR, 40.0; CI, 4.8-331.4, p
Conclusion: Our study showed disparities in bullying concerning sociodemographic factors. Anti-bullying programs that are tailored to race, age, and other unique needs should be developed. This may increase the adoption of such programs in different school settings.
