ArticleJournal of child psychology and psychiatry, and allied disciplines2021
Unique longitudinal relationships between symptoms of psychopathology in youth: A cross-lagged panel network analysis in the ABCD study.
Article in Journal of child psychology and psychiatry, and allied disciplines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.
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96 citing papers in PubMed, 173 citations in OpenAlex.
- Treatment-associated network dynamics in patients with globus sensations: a proof-of-concept study.Scientific reports · 2023Trial
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- The role of arousal symptoms in PTSD and depression comorbidity: a longitudinal network analysis among adolescents after a natural disaster.European journal of psychotraumatology · 2026Article
- Developmental Changes in the Relationships Between Depressive Symptoms and Bullying Victimization From Early to Middle Adolescence: A Cross-Lagged Panel Network Analysis.Journal of youth and adolescence · 2026Article
- Perceived Parental Comparison, Authenticity and School Adjustment in Adolescence: A Cross-Lagged Panel Network Analysis.International journal of psychology : Journal international de psychologie · 2026Article
- Unpacking early risks for peer victimization: A network analysis of early temperament and polygenic risk scores.JCPP advances · 2026Article
- Distress Intolerance, Social Anxiety, and Depressive Symptoms in Adolescents: Evidence from Random-Intercept Cross-Lagged Panel and Cross-Lagged Panel Network Analyses.Journal of youth and adolescence · 2026Article
- Mapping item-level dynamics of positive youth development in Chinese adolescents: A four-wave cross-lagged panel network study.Applied psychology. Health and well-being · 2026Article
- The Adolescent Brain Cognitive Development (ABCD) Study: Ten years of statistical and methodological contributions.Developmental cognitive neuroscience · 2026Article
- Dynamic Network Characteristics of Adolescent Mental Health Symptoms: Gender and Grade Differences Based on a Cross-Lagged Panel Network Model.Behavioral sciences (Basel, Switzerland) · 2026Article
- Child and adolescent psychiatry: challenges, solutions, opportunities, and future directions.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026Article
- Symptom-specific links between internalizing problems and functional connectivity in adolescents: a network analysis.European child & adolescent psychiatry · 2026Article
- The longitudinal relationships between social networks, trust and depression: a cross-lagged panel network analysis.BMC psychology · 2026Article
- A population-based cross-lagged panel network analysis of multidimensional mental health symptoms among Chinese secondary school students.BMC public health · 2026Article
- Exploring the Dynamics of Perioperative Quality of Life in Patients with Pancreatic Cancer: A Cross-Lagged Panel Network Analysis.Annals of surgical oncology · 2026Article
- Transdiagnostic symptom networks in adolescent psychopathology: A longitudinal panel network analysis.JCPP advances · 2026Article
- Posttraumatic stress disorder symptom change in youth after trauma-focused cognitive behavioral therapy: Insights from cross-sectional and cross-lagged panel network analysis.Journal of traumatic stress · 2026Article
- Developmental changes in youth affect: A within-person approach.Emotion (Washington, D.C.) · 2026Article
- Chinese-specific dietary patterns and cognitive function in Chinese older adults: a cross-lagged panel network analysis.European journal of nutrition · 2026Article
- Executive dysfunction and impulsivity in adolescence: a cross-lagged panel network analysis.BMC psychology · 2026Article
36 more citing papers are in PubMed but not listed here.
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5 authors at 2 institutions in 1 country.
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Abstract
backgroundThe network theory suggests that psychopathology may reflect causal relationships between individual symptoms. Several studies have examined cross-sectional relationships between individual symptoms in youth. However, these studies cannot address the directionality of the temporal relationships hypothesized by the network theory. Therefore, we estimated the longitudinal relationships between individual internalizing, externalizing, and attention symptoms in youth.
methodsData from 4,093 youth participants in the Adolescent Brain Cognitive Development (ABCD) study were used. Symptoms were assessed using the Brief Problem Monitor, which was administered at three time points spaced six months apart. Unique longitudinal relationships between symptoms at T1 and T2 were estimated using cross-lagged panel network modeling. Network replicability was assessed by comparing this network to an identically estimated replication network of symptoms at T2 predicting symptoms at T3.
resultsAfter controlling for all other symptoms and demographic covariates, depressed mood, inattention, and worry at T1 were most predictive of other symptoms at T2. In contrast, threats of violence and destructiveness at T2 were most prospectively predicted by other symptoms at T1. The reciprocal associations between depressed mood and worthlessness were among the strongest bivariate relationships in the network. Comparisons between the original network and the replication network (correlation between edge lists = .61; individual edge replicability = 64%-84%) suggested moderate replicability.
conclusionsAlthough causal inferences are precluded by the observational design and methodological considerations, these findings demonstrate the directionality of relationships between individual symptoms in youth and highlight depressed mood, inattention, and worry as potential influencers of other symptoms.
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