Npj Ment Health Res
May 2025
Concerns about the accuracy of self-reported screen time persist due to discrepancies with objective measures. This study compared passive smartphone tracking via the "Effortless Assessment of Risk States'' (EARS) app with self-reported screen time from 495 adolescents. Based on self-reports, 94.
View Article and Find Full Text PDFBackground: Adolescent mental health issues were surging during COVID-19 pandemic. Yet it is unclear whether the pandemic amplified pre-existing vulnerabilities for psychiatric disorders.
Methods: Using the longitudinal data from Adolescent Brain Cognitive Development (ABCD) Study (n = 7,560, 2~3 waves of assessments before pandemic and 2~3 waves after first nation-wide pandemic lock-down), we evaluated associations of the pandemic, genetic liabilities to psychiatric disorders, and their interactions with 20 different measures of psychopathology.
Objective: Childhood complex trauma (CCT) prevalence among individuals with comorbid posttraumatic stress disorder (PTSD) and substance use disorder (SUD) is unknown. We conducted a meta-analysis to compare CCT prevalence in samples of PTSD alone, SUD alone and comorbid PTSD+SUD.
Method: A systematic review of PTSD, CCT and SUD literature was conducted using online databases.
Evid Based Pract Child Adolesc Ment Health
January 2024
Parental monitoring of teens' activities is a well-established protective factor targeted in many interventions to reduce problem behavior. However, no paper has compiled the extant recommendations on how clinicians should seek to improve parental monitoring-what psychoeducation to give parents, what behaviors to request of parents, and how to support parents in changing monitoring behaviors. Drawing from the Society for Clinical Child and Adolescent Psychology's (SCCAP) lists of empirically supported treatments for adolescent problem behaviors, we reviewed the contents of 16 manualized interventions and extracted every mention of parental monitoring, then synthesized and organized the content.
View Article and Find Full Text PDFDev Cogn Neurosci
April 2025
The Adolescent Brain Cognitive Development® (ABCD) Study provides a unique opportunity to investigate developmental processes in a large, diverse cohort of youths, aged approximately 9-10 at baseline and assessed annually for 10 years. Given the size and complexity of the ABCD Study, researchers analyzing its data will encounter a myriad of methodological and analytical considerations. This review provides an examination of key concepts and techniques related to longitudinal analyses of the ABCD Study data, including: (1) characterization of the factors associated with variation in developmental trajectories; (2) assessment of how level and timing of exposures may impact subsequent development; (3) quantification of how variation in developmental domains may be associated with outcomes, including mediation models and reciprocal relationships.
View Article and Find Full Text PDFIntroduction: The use of psychotropic substances has negative short- and long-term health outcomes, including complex direct and indirect effects on sleep and sleep-cardiovascular function. Here, we investigate daily relationships between self-reported substance use and objective measures of sleep and sleep-related heart rate (HR) in community-dwelling young adults.
Methods: Fifty-five healthy young adults (M = 23.
This editorial focuses on the issue of data misuse that is increasingly evidenced in social media as well as some premiere scientific journals. This issue is of critical importance to open science projects in general, and ABCD in particular, given the broad array of biological, behavioural and environmental information collected on this American sample of 12,000 youth and parents. ABCD data are already widely used with over 1,200 publications and twice as many citations per year as expected (relative citation index based on year, field and journal).
View Article and Find Full Text PDFJAMA Netw Open
December 2024
Importance: The extent to which neuroanatomical variability associated with early substance involvement, which is associated with subsequent risk for substance use disorder development, reflects preexisting risk and/or consequences of substance exposure remains poorly understood.
Objective: To examine neuroanatomical features associated with early substance use initiation and to what extent associations may reflect preexisting vulnerability.
Design, Setting, And Participants: Cohort study using data from baseline through 3-year follow-up assessments of the ongoing longitudinal Adolescent Brain Cognitive Development Study.
JAACAP Open
December 2024
Objective: This paper investigated the effects of prenatal drug exposure (PDE), childhood trauma (CT), and their interactions on the neurobiological markers for emotion processing.
Method: Here, in a non-clinical sample of pre-adolescents (9-10 years of age) from the Adolescent Brain Cognitive Development (ABCD) Study (N = 6,146), we investigate the impact of PDE to commonly used substances (ie, alcohol, cigarettes, and marijuana), CT, and their interaction on emotion processing. From the Emotional N-back functional magnetic resonance imaging task data, we selected 26 regions of interests, previously implicated in emotion processing, and conducted separate linear mixed models (108 total) and accounted for available environmental risk factors.
Dev Cogn Neurosci
December 2024
Dopaminergic projections from the ventral tegmental area (VTA) to limbic regions play a key role in the initiation and maintenance of substance use; however, the relationship between mesolimbic resting-state functional connectivity (RSFC) and alcohol use during development remains unclear. We examined the associations between alcohol use and VTA RSFC to subcortical structures in 796 participants (12-21 years old at baseline, 51 % female) across 9 waves of longitudinal data from the National Consortium on Alcohol and Neurodevelopment in Adolescence. Linear mixed effects models included interactions between age, sex, and alcohol use, and best fitting models were selected using log-likelihood ratio tests.
View Article and Find Full Text PDFBiol Psychiatry Glob Open Sci
January 2025
Despite the advantage of neuroimaging-based machine learning (ML) models as pivotal tools for investigating brain-behavior relationships in neuropsychiatric studies, these data-driven predictive approaches have yet to yield substantial, clinically actionable insights for mental health care. A notable impediment lies in the inadequate accommodation of most ML research to the natural heterogeneity within large samples. Although commonly thought of as individual-level analyses, many ML algorithms are unimodal and homogeneous and thus incapable of capturing the potentially heterogeneous relationships between biology and psychopathology.
View Article and Find Full Text PDFThis editorial focuses on the issue of data misuse which is increasingly evidenced in social media as well as some premiere scientific journals. This issue is of critical importance to open science projects in general, and ABCD in particular, given the broad array of biological, behavioral and environmental information collected on this American sample of 12.000 youth and parents.
View Article and Find Full Text PDFStudy Objectives: Early exposure to mature content is linked to high-risk behaviors. This study aims to prospectively investigate how sleep and sensation-seeking behaviors influence the consumption of mature video games and R-rated movies in early adolescents. A secondary analysis examines the bidirectional relationships between sleep patterns and mature screen usage.
View Article and Find Full Text PDFYouth screen media activity is a growing concern, though few studies include objective usage data. Through the longitudinal, U.S.
View Article and Find Full Text PDFEarly adolescent drinking onset is linked to myriad negative consequences. Using the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA) baseline to year 8 data, this study (1) leveraged best subsets selection and Cox Proportional Hazards regressions to identify the most robust predictors of adolescent first and regular drinking onset, and (2) examined the clinical utility of drinking onset in forecasting later binge drinking and withdrawal effects. Baseline predictors included youth psychodevelopmental characteristics, cognition, brain structure, family, peer, and neighborhood domains.
View Article and Find Full Text PDFHeavy alcohol drinking is a major, preventable problem that adversely impacts the physical and mental health of US young adults. Studies seeking drinking risk factors typically focus on young adults who enrolled in 4-year residential college programs (4YCP) even though most high school graduates join the workforce, military, or community colleges. We examined 106 of these understudied young adults (USYA) and 453 4YCPs from the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA) by longitudinally following their drinking patterns for 8 years from adolescence to young adulthood.
View Article and Find Full Text PDFCannabis Cannabinoid Res
April 2025
Cannabidiol (CBD) is rising in popularity, including as a potential medicinal product. Yet data on use of commercial CBD for medicinal or health reasons in adolescents are lacking. In this study we aim to detail characteristics of adolescents given commercial CBD for health reasons (health CBD [hCBD]) and to investigate predictors of use.
View Article and Find Full Text PDFAcademic performance plays a crucial role in long-term educational attainment and occupational function. Chronotype refers to an individual's daily tendencies for times for waking, activity, and sleep. Social jetlag reflects the mismatch between an individual's chronotype and their social schedule.
View Article and Find Full Text PDFBackground And Aims: The precise roles of screen media activity (SMA) and sleep problems in relation to child/adolescent psychopathology remain ambiguous. We investigated temporal relationships among sleep problems, SMA, and psychopathology and potential involvement of thalamus-prefrontal-cortex (PFC)-brainstem structural covariation.
Methods: This study utilized data from the Adolescent Brain Cognitive Development study (n = 4,641 ages 9-12) at baseline, Year1, and Year2 follow-up.