From CBCL to DSM: A Comparison of Two Methods to Screen for DSM-IV Diagnoses Using CBCL Data

Krol, Nicole P. C. M.; Bruyn, E.E.J. De; Coolen, Jolanda C; Aarle, E.J.M. van

doi:10.1207/s15374424jccp3501_11

Cited by 60 publications

(41 citation statements)

References 13 publications

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“…Additional analyses revealed that our results were unaffected by controlling for subthreshold oppositional defiant disorder (ODD) symptoms based on the Child Behavior Checklist (CBCL; Krol et al 2006) (Supplementary Tables S1 and S2). In addition, in a supplementary linear model using ADHD as a continuous variable, contrasts revealed that, for all significant associations between ADHD and neurocognitive variables, a linear trend could be detected and no other higher-order link function was statistically significant (Supplementary Table S3).…”

Section: Resultsmentioning

confidence: 88%

Mechanisms underpinning inattention and hyperactivity: neurocognitive support for ADHD dimensionality

et al. 2014

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Background. Taxometric and behavioral genetic studies suggest that attention deficit hyperactivity disorder (ADHD) is best modeled as a dimension rather than a category. We extended these analyses by testing for the existence of putative ADHD-related deficits in basic information processing (BIP) and inhibitory-based executive function (IB-EF) in individuals in the subclinical and full clinical ranges. Consistent with the dimensional model, we predicted that ADHD-related deficits would be expressed across the full spectrum, with the degree of deficit linearly related to the severity of the clinical presentation.Method. A total of 1547 children (aged 6-12 years) participated in the study. The Development and Well-Being Assessment (DAWBA) was used to classify children into groups according to levels of inattention and hyperactivity independently: (1) asymptomatic, (2) subthreshold minimal, (3) subthreshold moderate and (4) clinical ADHD. Neurocognitive performance was evaluated using a two-choice reaction time task (2C-RT) and a conflict control task (CCT). BIP and IB-EF measures were derived using a diffusion model (DM) for decomposition of reaction time (RT) and error data.Results. Deficient BIP was found in subjects with minimal, moderate and full ADHD defined in terms of inattention (in both tasks) and hyperactivity/impulsivity dimensions (in the 2C-RT). The size of the deficit increased in a linear manner across increasingly severe presentations of ADHD. IB-EF was unrelated to ADHD.Conclusions. Deficits in BIP operate at subclinical and clinical levels of ADHD. The linear nature of this relationship provides support for a dimensional model of ADHD in which diagnostic thresholds are defined in terms of clinical and societal burden rather than representing discrete pathophysiological states.

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Section: Resultsmentioning

confidence: 88%

Mechanisms underpinning inattention and hyperactivity: neurocognitive support for ADHD dimensionality

et al. 2014

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“…Similar concerns were voiced by Boots [2008] in her work focusing on the ability of DSMoriented problems to predict serious offending over time in the youngest cohort of Pittsburgh Youth Study boys, as ''it stands to reason that parents may mitigate their child's behaviors because they may view these problems as reflective of their own dysfunction or failure in parenting' ' (p 130-131). With respect to developmentally based research, such as that conducted here, scholars have argued persuasively that the use of multiple informants offers a more comprehensive picture of assessment of functioning across domains and situations than a sole informant can provide [Krol et al, 2006]. Indeed, such designs are ''essential to preserve the contributions of different informants, even if their reports are not correlated highly'' [Renk and Phares, 2004, p 240].…”

Section: Discussionmentioning

confidence: 99%

Does controlling for comorbidity matter? DSM‐oriented scales and violent offending in chicago youth

Boots

Wareham

2010

Aggressive Behavior

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Mental health problems have long been linked to antisocial behaviors. Despite an impressive body of literature demonstrating this relationship and claims that comorbidity matters, few studies examine comorbidity using multiple distinct mental health indicators, with most studies instead adopting single or composite mental health measures. This study tested separate and comorbid effects of five DSM-oriented mental health issues on self-reported violence using a community-based sample of Chicago youths from the Project on Human Development in Chicago Neighborhoods. Moreover, it utilized both primary caregiver and youth self-reports of psychopathology across four developmental stages of childhood and adolescence. When examined separately, the results indicated affective/depressive, anxiety, attention deficit hyperactivity, and oppositional defiant/antisocial personality problems independently predicted violence. When considering comorbidity, however, only oppositional defiant and antisocial personality problems significantly predicted violence at any stage, regardless of informant type. Implications for future studies and policy are discussed.

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“…Although the DOSs are not directly equivalent to any clinical diagnosis, they satisfactorily predict DSM-IV diagnoses [30]. Recent twin multivariate genetic epidemiological analyses in the Italian general population showed that compared with the classic CBCL/6-18 empirical subscales, the DOSs have higher heritability (lowest 0.56 and 0.61 for attention deficit/hyperactivity problems and oppositional defiant problems; highest 0.71 for conduct problems), and simpler causal structure, in that the phenotypic variance is satisfactorily explained by additive genetic and unique environmental factors only [48].…”

Section: Behavioural Assessmentmentioning

confidence: 92%

COMT Val158Met polymorphism and socioeconomic status interact to predict attention deficit/hyperactivity problems in children aged 10–14

Nobile

Rusconi

Bellina

et al. 2009

Eur Child Adolesc Psychiatry

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The functional Val158Met COMT polymorphism appears to affect a host of behaviours mediated by the pre-frontal cortex, and has been found associated to the risk for disruptive behaviours including ADHD. Parental socioeconomic status (SES) has also been reported as a predictor for the same childhood disorders. In a general population sample of 575 Italian pre-adolescents aged 10-14, we examined the association of the functional Val158Met COMT polymorphism and SES-both as linear and interactive effects-with oppositional defiant problems, conduct problems, and attention deficit/hyperactivity problems, as defined by the newly established Child Behaviour Check-List/6-18 DSM oriented scales. Multivariate-and subsequent univariate-analysis of covariance showed a significant association of COMT 9 SES interaction with CBCL 6/18 DOS attention deficit/hyperactivity problems (p = 0.004), and revealed higher scores among those children with Val/Val COMT genotype who belonged to low-SES families. We also found a significant association of SES with attention deficit/hyperactivity problems and conduct problems DOS (p = 0.04 and 0.01, respectively). Our data are consistent with a bulk of recent literature suggesting a role of environmental factors in moderating the contribution of specific genetic polymorphisms to human variability in ADHD. While future investigations will refine and better clarify which specific environmental and genetic mechanisms are at work in influencing the individual risk to ADHD in pre-adolescence, these data may contribute to identify/prevent the risk for ADHD problems in childhood.

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From CBCL to DSM: A Comparison of Two Methods to Screen for DSM-IV Diagnoses Using CBCL Data

Cited by 60 publications

References 13 publications

Mechanisms underpinning inattention and hyperactivity: neurocognitive support for ADHD dimensionality

Mechanisms underpinning inattention and hyperactivity: neurocognitive support for ADHD dimensionality

Does controlling for comorbidity matter? DSM‐oriented scales and violent offending in chicago youth

COMT Val158Met polymorphism and socioeconomic status interact to predict attention deficit/hyperactivity problems in children aged 10–14

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