Kevin S Kuehn1, Annelise Wagner2, Jennifer Velloza3. 1. 1 Department of Psychology, University of Washington, Seattle, WA, USA. 2. 2 Department of Statistics, University of Washington, Seattle, WA, USA. 3. 3 Department of Epidemiology, University of Washington, Seattle, WA, USA.
Abstract
Background: Suicide is the second leading cause of death among US adolescents aged 12-19 years. Researchers would benefit from a better understanding of the direct effects of bullying and e-bullying on adolescent suicide to inform intervention work. Aims: To explore the direct and indirect effects of bullying and e-bullying on adolescent suicide attempts (SAs) and to estimate the magnitude of these effects controlling for significant covariates. Method: This study uses data from the 2015 Youth Risk Behavior Surveillance Survey (YRBS), a nationally representative sample of US high school youth. We quantified the association between bullying and the likelihood of SA, after adjusting for covariates (i.e., sexual orientation, obesity, sleep, etc.) identified with the PC algorithm. Results: Bullying and e-bullying were significantly associated with SA in logistic regression analyses. Bullying had an estimated average causal effect (ACE) of 2.46%, while e-bullying had an ACE of 4.16%. Limitations: Data are cross-sectional and temporal precedence is not known. Conclusion: These findings highlight the strong association between bullying, e-bullying, and SA.
Background: Suicide is the second leading cause of death among US adolescents aged 12-19 years. Researchers would benefit from a better understanding of the direct effects of bullying and e-bullying on adolescent suicide to inform intervention work. Aims: To explore the direct and indirect effects of bullying and e-bullying on adolescent suicide attempts (SAs) and to estimate the magnitude of these effects controlling for significant covariates. Method: This study uses data from the 2015 Youth Risk Behavior Surveillance Survey (YRBS), a nationally representative sample of US high school youth. We quantified the association between bullying and the likelihood of SA, after adjusting for covariates (i.e., sexual orientation, obesity, sleep, etc.) identified with the PC algorithm. Results: Bullying and e-bullying were significantly associated with SA in logistic regression analyses. Bullying had an estimated average causal effect (ACE) of 2.46%, while e-bullying had an ACE of 4.16%. Limitations: Data are cross-sectional and temporal precedence is not known. Conclusion: These findings highlight the strong association between bullying, e-bullying, and SA.
Authors: Malka S Moya; Paul Caldarella; Ross A A Larsen; Jared S Warren; Jennifer R Bitton; Paul M Feyereisen Journal: Educ Treat Children Date: 2022-07-14
Authors: Jacqueline Nesi; Taylor A Burke; Alexandra H Bettis; Anastacia Y Kudinova; Elizabeth C Thompson; Heather A MacPherson; Kara A Fox; Hannah R Lawrence; Sarah A Thomas; Jennifer C Wolff; Melanie K Altemus; Sheiry Soriano; Richard T Liu Journal: Clin Psychol Rev Date: 2021-05-08