Adolescent dating violence statistics
and there are no studies in which they have been used within the context of TDV.
With our study we aimed to create the first algorithms for physical and sexual TDV perpetration.
These models adequately discriminated between future perpetrators and nonoffenders (area under the curve statistic CONCLUSIONS: Our study represents one of the first applications of reclassification analyses to psychosocial research in a pediatric population.We examined theoretically relevant, empirically validated predictors of TDV perpetration in a large sample of ethnically and racially diverse adolescents as they transitioned into emerging adulthood, a high-risk developmental transition for TDV perpetration.We examined whether assessing these distinct risk factors led to better forecasts for future TDV perpetration compared with assessing TDV perpetration history alone.Because of the deleterious consequences of teen dating violence (TDV), identifying which adolescents are most likely to perpetrate violent behavior is an important public health priority.
To date, ∼50 risk factors for TDV perpetration have been identified.
An important priority for researchers with this agenda is to identify individuals who are at greatest risk to perpetrate TDV.