Trial reportPloS one2019
A network analysis approach to ADHD symptoms: More than the sum of its parts.
Trial report in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed.
- Addictions are linked but distinct: A transdiagnostic network analysis of concurrent disorder risk.Journal of behavioral addictions · 2026Article
- Common cause versus dynamic mutualism: Insights into ADHD's common comorbidities.JCPP advances · 2026Article
- Breaking down the ADHD construct to build a valid diagnosis.Acta neuropsychiatrica · 2026Review
- Interventions for children and adolescents with specific learning disability and co-occurring disorders.Pediatric research · 2025Review
- Utility for Clinical Practice of a Bifactor ADHD Model in an Elementary School Population in Mexico.Child psychiatry and human development · 2025Article
- Stimulant medication and symptom interrelations in children, adolescents and adults with attention-deficit/hyperactivity disorder.European child & adolescent psychiatry · 2025Article
- The Connection Between Sleep Problems and Emotional and Behavioural Difficulties in Autistic Children: A Network Analysis.Journal of autism and developmental disorders · 2025Article
- Symptom Networks and Associations with Quality of Life in Patients with Early to Mid-Stage Parkinson's Disease: A Network Analysis.Degenerative neurological and neuromuscular disease · 2025Article
- A multi-layer similarity approach for analyzing ADHD symptomology and assessment methods considering DSM-5 diagnostic criteria.Frontiers in psychiatry · 2025Article
- A Network Approach to Understanding the Role of Executive Functioning and Alpha Oscillations in Inattention and Hyperactivity-Impulsivity Symptoms of ADHD.Journal of attention disorders · 2024Article
- Leveraging big data for causal understanding in mental health: a research framework.Frontiers in psychiatry · 2024Review
- Centrality measures in psychological networks: A simulation study on identifying effective treatment targets.PloS one · 2024Article
- Identifying different patterns of emotion dysregulation in adult ADHD.Borderline personality disorder and emotion dysregulation · 2023Article
- Article
- Functional and structural brain network development in children with attention deficit hyperactivity disorder.Human brain mapping · 2023Article
- Data-Driven Methods for Predicting ADHD Diagnosis and Related Impairment: The Potential of a Machine Learning Approach.Research on child and adolescent psychopathology · 2023Article
- Baseline depressive symptoms as predictors of efficacy and tolerability of the treatment with duloxetine: a network analysis approach.Frontiers in psychiatry · 2023Article
- Network analysis of 18 attention-deficit/hyperactivity disorder symptoms suggests the importance of "Frontiers in psychiatry · 2022Article
- Longitudinal network model of the co-development of temperament, executive functioning, and psychopathology symptoms in youth with and without ADHD.Development and psychopathology · 2021Article
- Developmental Relations Between Internalising Problems and ADHD in Childhood: a Symptom Level Perspective.Research on child and adolescent psychopathology · 2021Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In interpreting attention-deficit/hyperactivity disorder (ADHD) symptoms, categorical and dimensional approaches are commonly used. Both employ binary symptom counts which give equal weighting, with little attention to the combinations and relative contributions of individual symptoms. Alternatively, symptoms can be viewed as an interacting network, revealing the complex relationship between symptoms. Using a novel network modelling approach, this study explores the relationships between the 18 symptoms in the Diagnostic Statistical Manual (DSM-5) criteria and whether network measures are useful in predicting outcomes. Participants were from a community cohort, the Children's Attention Project. DSM ADHD symptoms were recorded in a face-to-face structured parent interview for 146 medication naïve children with ADHD and 209 controls (aged 6-8 years). Analyses indicated that not all symptoms are equal. Frequencies of endorsement and configurations of symptoms varied, with certain symptoms playing a more important role within the ADHD symptom network. In total, 116,220 combinations of symptoms within a diagnosis of ADHD were identified, with 92% demonstrating a unique symptom configuration. Symptom association networks highlighted the relative importance of hyperactive/impulsive symptoms in the symptom network. In particular, the 'motoric'-type symptoms as well as interrupts as a marker of impulsivity in the hyperactive domain, as well as loses things and does not follow instructions in the inattentive domain, had high measures of centrality. Centrality-measure weighted symptom counts showed significant association with clinical but not cognitive outcomes, however the relationships were not significantly stronger than symptom count alone. The finding may help to explain heterogeneity in the ADHD phenotype.
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