Network Analysis of ADHD and ODD Symptoms: Novel Insights or Redundant Findings with the Latent Variable Model?

Preszler, Jonathan; Burns, G. Leonard

doi:10.1007/s10802-019-00549-y

Cited by 16 publications

(13 citation statements)

References 23 publications

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“…A recent article examined the overlap between latent variable modeling and network analysis, questioning if network analysis techniques were necessary beyond latent variable modeling (Preszler & Burns, 2019). Due to the replication crisis widespread throughout psychology, we find consistent results between the two methods to be meaningful for continued support about the structure of ADHD symptoms across adulthood.…”

Section: Discussionmentioning

confidence: 99%

Networks of ADHD and SCT Symptoms in Emerging Adulthood

et al. 2021

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Objective: Emerging adulthood (18–25 years) is a transitional and understudied developmental period. Yet, little is known about how specific symptoms of ADHD, as well as those from the related SCT domain, may differentially relate to one another during this period, if there are differences based on biological sex, or how closely results will align with adulthood. Methods: We used network analysis techniques to explore the structure of ADHD and SCT symptoms within emerging adulthood, with additional comparisons between sexes as well as between emerging adulthood and adulthood. Using an online platform, 8,506 adults reported on their symptoms of ADHD and SCT. Results: Symptoms grouped together within their respective domains during emerging adulthood with no significant differences in overall network structure between sexes. Similarly, network structure appeared to be robust across emerging adulthood and adulthood. Conclusion: Such consistency supports a conceptualization of ADHD in emerging adulthood as similar to adulthood.

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Section: Discussionmentioning

confidence: 99%

Networks of ADHD and SCT Symptoms in Emerging Adulthood

et al. 2021

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“…Parent-reported KSAD symptoms were used as indicators for two separate latent variables: (a) defiant/headstrong behavior and (b) angry/irritable mood with symptoms assigned based on how they are classified in DSM-5. Composite selection was guided by prior literature suggesting that ODD symptoms are best understood as two correlated but distinct dimensions of behavior (Burke et al, 2014;Stringaris & Goodman, 2009), as well as with recent network analyses suggesting network structure aligns with these latent variables (Preszler & Burns, 2019). Consistent with the literature, this model fit the data well (RMSEA = .043, CFI = .993, TLI = .995).…”

Section: Oppositional Defiant Disordermentioning

confidence: 91%

Longitudinal network model of the co-development of temperament, executive functioning, and psychopathology symptoms in youth with and without ADHD

et al. 2021

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Attention-deficit hyperactivity disorder (ADHD) is a common, chronic, and impairing disorder, yet presentations of ADHD and clinical course are highly heterogeneous. Despite substantial research efforts, both (a) the secondary co-occurrence of ADHD and complicating additional clinical problems and (b) the developmental pathways leading toward or away from recovery through adolescence remain poorly understood. Resolving these requires accounting for transactional influences of a large number of features across development. Here, we applied a longitudinal cross-lagged panel network model to a multimodal, multilevel dataset in a well-characterized sample of 488 children (nADHD = 296) to test Research Domain Criteria initiative-inspired hypotheses about transdiagnostic risk. Network features included Diagnostic and Statistical Manual of Mental Disorders symptoms, trait-based ratings of emotional functioning (temperament), and performance-based measures of cognition. Results confirmed that ADHD symptom domains, temperamental irritability, and working memory are independent transdiagnostic risk factors for psychopathology based on their direct associations with other features across time. ADHD symptoms and working memory each had direct, independent associations with depression. Results also demonstrated tightly linked co-development of ADHD symptoms and temperamental irritability, consistent with the possibility that this type of anger dysregulation is a core feature that is co-expressed as part of the ADHD phenotype for some children.

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“…The ndings showed that the symptoms of angry, annoy, and argue were central in the network, with angry being most central. Preszler and Burns (2019) examined the network structure of DSM-5 ODD symptoms together with Attention De cit/Hyperactivity Disorder (ADHD, APA, 2013) symptoms in a group of primary school-aged children from the general community, based on mother and father ratings, using a partial correlation procedure for the network.…”

Section: Empirical Research On Odd Networkmentioning

confidence: 99%

“…Although there have been three studies that have examined networks that included the OSS symptoms (Hukkelberg & Ogden, 2018, Preszler & Burns, 2019, Smith et al, 2017, only the Smith et al study focused exclusively on DSM-5 ODD symptoms, based on parent ratings. Preszler and Burns (2019) examined the network structure of DSM-5 ODD symptoms together with ADHD symptoms, and Hukkelberg and Ogden (2018) examined the network structure of ten relevant ODD symptoms and not the eight DSM-5 ODD symptoms.…”

Section: Comparison Of Current and Past Odd Network Findingsmentioning

confidence: 99%

“…To date, there have been at least three studies that have examined the network structure of ODD symptoms (Hukkelberg & Ogden, 2018, Preszler & Burns, 2019, Smith et al, 2017. Smith et al examined the structure of DSM-5 ODD symptoms in a mixed (those with and without ODD) group of preschool children, using zero order correlations for the network.…”

Section: Empirical Research On Odd Networkmentioning

confidence: 99%

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Network Analyses of Oppositional Defiant Disorder (ODD) Symptoms in Children

Gomez

Stavropoulos

Gomez³

et al. 2021

Preprint

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Based on parent and teacher ratings of their children, this study used regularized partial correlation network analysis (EBIC glasso) to examine the structure of DSM-5 Oppositional Defiant Disorder (ODD) symptoms. Parent and teachers (N = 934) from the general community in Malaysia completed questionnaires covering DSM-5 ODD symptoms. The most central ODD symptom for parent ratings was anger, followed by argue. For teacher ratings, it was anger, followed by defy. For both parent and teacher ratings, the networks revealed at least medium effect size connections for temper and argue, defy and argue, blames others and annoy, and spiteful and angry. Overall, the findings were highly comparable across parent and teacher ratings, and they showed a novel understanding of the structure of the ODD symptoms. The clinical implications of the findings for assessment and treatment of ODD are discussed.

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Network Analysis of ADHD and ODD Symptoms: Novel Insights or Redundant Findings with the Latent Variable Model?

Cited by 16 publications

References 23 publications

Networks of ADHD and SCT Symptoms in Emerging Adulthood

Networks of ADHD and SCT Symptoms in Emerging Adulthood

Longitudinal network model of the co-development of temperament, executive functioning, and psychopathology symptoms in youth with and without ADHD

Network Analyses of Oppositional Defiant Disorder (ODD) Symptoms in Children

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