ArticleJournal of child psychology and psychiatry, and allied disciplines2020
Measuring strengths and weaknesses in dimensional psychiatry.
Article in Journal of child psychology and psychiatry, and allied disciplines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic instruments for the assessment of disruptive mood dysregulation disorder: a systematic review of the literature.European child & adolescent psychiatry · 2023Pooled it
- Multiscale Heterogeneity of White Matter Morphometry in Psychiatric Disorders.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- Are Differences in Social Drive in Childhood and Adolescence Diagnosis Specific? A Multimeasurement Subtyping Approach.JAACAP open · 2026Article
- An open, fully-processed data resource for studying mood and sleep variability in the developing brain.Aperture neuro · 2026Article
- Parsing the heterogeneity of social motivation in autism.Journal of child psychology and psychiatry, and allied disciplines · 2025Article
- Considering the interconnected nature of social identities in neuroimaging research.Nature neuroscience · 2025Review
- Embracing variability in the search for biological mechanisms of psychiatric illness.Trends in cognitive sciences · 2025Review
- Article
- Social Effort Discounting Reveals Domain-General and Social-Specific Motivation Components.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Article
- Transitive inference in a clinical childhood sample with a focus on autism spectrum disorder.Autism research : official journal of the International Society for Autism Research · 2024Article
- Latent classes of adolescent health behaviour, social covariates and mental wellbeing: a longitudinal birth cohort study.BMC public health · 2024Article
- Assessment of affective dysregulation in children: development and evaluation of a semi-structured interview for parents and for children.Child and adolescent psychiatry and mental health · 2024Article
- Comparing the stability and reproducibility of brain-behavior relationships found using canonical correlation analysis and partial least squares within the ABCD sample.Network neuroscience (Cambridge, Mass.) · 2024Article
- Evaluation of a new intrinsic and extrinsic motivation scale in youth with psychosis spectrum symptoms.Comprehensive psychiatry · 2023Article
- Probing the overarching continuum theory: data-driven phenotypic clustering of children with ASD or ADHD.European child & adolescent psychiatry · 2023Article
- Comparing the stability and reproducibility of brain-behaviour relationships found using Canonical Correlation Analysis and Partial Least Squares within the ABCD Sample.bioRxiv : the preprint server for biology · 2023Article
- IQ Modulates Coupling Between Diverse Dimensions of Psychopathology in Children and Adolescents.Journal of the American Academy of Child and Adolescent Psychiatry · 2023Article
- Predicting the future of neuroimaging predictive models in mental health.Molecular psychiatry · 2022Review
- A longitudinal resource for studying connectome development and its psychiatric associations during childhood.Scientific data · 2022Article
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundThe Extended Strengths and Weaknesses Assessment of Normal Behavior (E-SWAN) reconceptualizes each diagnostic criterion for selected DSM-5 disorders as a behavior, which can range from high (strengths) to low (weaknesses). Initial development focused on Panic Disorder, Social Anxiety, Major Depression, and Disruptive Mood Dysregulation Disorder.
methodsData were collected from 523 participants (ages 6-17). Parents completed each of the four E-SWAN scales and traditional unidirectional scales addressing the same disorders. Distributional properties, Item Response Theory Analysis (IRT), and Receiver Operating Characteristic (ROC) curves were used to assess and compare the performance of E-SWAN and traditional scales.
resultsIn contrast to the traditional scales, which exhibited truncated distributions, all four E-SWAN scales had symmetric distributions. IRT analyses indicate the E-SWAN subscales provided reliable information about respondents throughout the population distribution; traditional scales only provided reliable information about respondents at the high end of the distribution. Predictive value for DSM-5 diagnoses was comparable to prior scales.
conclusionsE-SWAN bidirectional scales can capture the full spectrum of the population distribution of behavior underlying DSM disorders. The additional information provided can better inform examination of inter-individual variation in population studies, as well as facilitate the identification of factors related to resiliency in clinical samples.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.