A number of machine learning methods can be employed in the prediction of suicide attempts. However, many models do not predict new cases well in cases with unbalanced data. The present study improved prediction of suicide attempts via the use of a generative adversarial network.

Background: Differences in sexual health-related outcomes by sexual behavior and identity remain underinvestigated among bisexual female adolescents. Methods: Data from girls (N?=?875) who participated in the Massachusetts Youth Risk Behavior Surveillance survey were analyzed. Weighted logistic regression models were fit to examine sexual and…

Objective: To examine ethnic identity and ethnic socialization as potential protective factors for risk behaviors among US college students. Participants: Participants were 398 African American and Afro-Caribbean students recruited from 30 colleges and universities during September 2008-October 2009. Methods: Data on hazardous alcohol use,…

Background: We explored the relationship between body mass index-for-age percentile, body image distortion, and unnecessary weight loss efforts in Korean adolescent girls who are underweight and normal weight and examined the mediating effect of body image distortion on weight loss efforts. Methods: This study used data from the 2013 Korea Youth…

Background: Contraception non-use among sexually active adolescents is a major cause of unintended pregnancy (UP). Methods: In this cross-sectional study we sought to identify overall and sex-specific correlates of contraception non-use using the 2015 Philadelphia Youth Risk Behavior Survey (YRBS) (N = 9540). Multivariate regression models were…

Background: Several studies have used latent class analyses to explore obesogenic behaviors and substance use in adolescents independently. We explored a variety of health risks jointly to identify distinct patterns of risk behaviors among adolescents. Methods: Latent class models were estimated using Youth Risk Behavior Surveillance System…

The purpose of the study was to examine relationships between sleep insufficiency, depressive symptoms, demographic factors, and the nonmedical use of prescription medications (NMUPMs) in the U.S. high school students. Data from the 2013 Youth Risk Behavioral Surveillance System were used (n = 13,570) and analyzed using IBM SPSS 23™ (complex…

Background: Teen dating violence (TDV) negatively impacts health, mental and physical well-being, and school performance. Methods: Data from a nationally representative sample of high school students participating in the Centers for Disease Control and Prevention (CDC)'s 2013 Youth Risk Behavior Survey (YRBS) are used to demonstrate associations…

Sexual minorities' risk for exclusionary discipline is a commonly cited indicator of the challenges that these students face. The current study addresses this issue by introducing a new data source for research on sexual minority students: the Fragile Families and Childhood Wellbeing Study. In this geographically diverse, population-based sample,…

This article examines characteristics of online harassment episodes associated with increased distress for youth. Data were collected as part of the Third Youth Internet Safety Survey, a cross-sectional telephone survey conducted in the United States in 2010. Interviews were conducted with 1,560 Internet-using youth, ages 10 through 17. Harassment…

Background: Childhood obesity is a major public health concern. Children with disabilities have a higher prevalence of obesity. Objective: We examined factors associated with obesity within a cross-sectional study of US adolescents with and without disabilities. Methods: Data were obtained from the 2011 Youth Risk Behavior Survey. Logistic…

Background: We examined the relationship between exposure to electronic bullying and absenteeism as a result of being afraid. Methods: This multivariate, multinomial regression analysis of the 2013 Youth Risk Behavior Survey data assessed the association between experiencing electronic bullying in the past year and how often students were absent…

Background: In this cross-sectional study we explored relationships between aggressive and violent behaviors and emotional self-efficacy (ESE) in a statewide sample of public high school adolescents in South Carolina (N = 3836). Methods: The US Centers for Disease Control and Prevention Youth Risk Behavior Survey items on aggressive and violent…

Healthy behaviors including limited screen time (ST), high physical activity (PA), and adequate fruits and vegetables consumption (FV) are recommended for adolescents, but it is unclear how gender, race/ethnicity, and weight status relate to these public health guidelines in diverse urban adolescents. Participants (N = 384) were recruited from…

Background: Suicide is the third leading cause of death for people ages 15-19. Research has established an association across numerous risk factors and suicide, including depression, substance abuse, bullying victimization, and feelings of alienation. However, the connection between disordered eating as manifested in extreme weight-control…