Bullying victimization can have serious consequences for adolescents. This article examines the association between traditional and cyberbullying victimization, depressive symptoms, and suicidality in a national school-based sample, utilizing general strain theory (GST) as a guide to how these variables might relate to each other. We additionally examine whether the associations between these variables differ by gender. Results suggest that traditional and cyberbullying victimization have significant, positive associations with both depressive symptoms and suicidality. Results are partly supportive of the full model suggested by GST, with the associations between bullying and suicidality being weakened in some models when accounting for depressive symptoms. Gender differences also emerge. These findings are discussed in relation to their relevance for policy and theory.

PurposeIn 2018, the National Human Trafficking hotline received 275 cases of human trafficking in Pennsylvania, a higher than average portion of the 10,949 human trafficking cases received for the USA. Whether human trafficking victims receive services or enter the criminal justice system as prostitution offenders depends on how police identify them, as police officers are usually the first to interact with human trafficking victims. Thus, understanding how police identify human trafficking is important. The purpose of the study is to explore Pennsylvania police perceptions of human trafficking.Design/methodology/approachScenarios were presented in a survey to 489 Pennsylvania police officers.FindingsPolice training improved officer identification of human trafficking (vs prostitution) involving older victims. Officers with more tenure were less likely to identify older victims of human trafficking than officers with less tenure. However, older officers were better able to successfully identify older (i.e. age 25 years) victims of human trafficking, but officer age had no effect on identifying younger (i.e. age 15 years) victims of human trafficking. The implications are discussed in the study.Originality/valueThe study contributes to the literature by testing (1) whether training affects police ability to identify human trafficking victims in a scenario, controlling for other factors and (2) whether victim age affects officer identification of human trafficking victims. More officers correctly identified younger victims of human trafficking when force was explicitly stated, but more officers misidentified younger victims when force was not explicitly stated and older victims when force was explicitly stated.

Bullying victimization among adolescents is associated with increased illicit substance use. This research estimates whether the association between bullying victimization and substance use is significantly greater among female adolescents. Using R software and the national Youth Risk Behavior Survey (2011, 2013, 2014, and 2017), interactions were estimated to determine the association between self-reported school or electronic bullying victimization and previous 30-day alcohol use, binge drinking, marijuana use, cigarette smoking, and electronic vaping product use. Bullying victimization was significantly associated with each of the substance use variables, Effects were significantly greater in female students. Efforts should be put in place in schools and communities to reduce bullying, mitigate the harmful effects of this form of victimization, and reduce illicit substance use.

Research suggests that minority children with one mental health condition are more likely than White children to have a secondary mental health condition. However, there are no current studies that test the interaction between race and family resources to examine this apparent racial difference in mental health conditions in children. Yet research suggests that family resources vary by race/ethnicity. This study examines the interaction between family structure and socioeconomic status by race and ethnicity to understand how it predicts the number of mental health conditions among children. Our findings are consistent with the existing literature that children in resource-poor families (single parent, step-parent families, and lower income families) have higher counts of mental health conditions. Yet we also found that children in resource-rich families (two-parent biological families with higher levels of income) in some cases also had higher counts of mental health conditions and this varied by race/ethnicity.