Objective: To determine the association between transgender or gender-questioning identity and cyberbullying victimization in a diverse national sample of early adolescents in the US.
Methods: We analyzed cross-sectional data from the Adolescent Brain Cognitive Development (ABCD) Study (N=9,989, Year 3, 2019-2021, 11-14 years old, 48.8% female, 47.
Purpose: To examine the association between multiple dimensions of gender diversity and physical activity (daily steps) in a diverse national sample of early adolescents in the United States.
Methods: This study analyzed Year 2 data from the Adolescent Brain Cognitive Development (ABCD) Study (N = 6038, M=12.0 years).
Background: Sexual orientation discrimination increases the risks of negative health outcomes for sexual minorities. Previous studies have found increased rates of eating disorder symptoms in sexual minority individuals, which is attributable to minority stress and discrimination that they experience. Emerging research suggests relationships between sexual orientation discrimination and eating disorder symptoms.
View Article and Find Full Text PDFBackground: There are limited large-scale, prospective analyses examining contemporary screen use and substance use experimentation in early adolescents. The current study aimed to determine associations between eight forms of contemporary screen modalities and substance use experimentation one year later in a national cohort of 11-12-year-olds in the United States.
Methods: The sample consisted of 8006 early adolescents (47.
Purpose: The purpose of this study was to examine associations between identifying as transgender and attention deficit hyperactivity disorder (ADHD) symptoms in US early adolescents.
Methods: We analyzed cross-sectional data from the Adolescent Brain Cognitive Development Study (Year 3, 2019-2021) to estimate associations between gender identity and ADHD symptoms using the Child Behavior Checklist Diagnostic and Statistical Manual of Mental Disorders-oriented attention problem scale scores, adjusting for age, sex, ethnicity, parent education, household income, and study site. Additional models adjusted for stress problems and depression symptoms.