Longitudinal Stability of the CBCL-Juvenile Bipolar Disorder Phenotype: A Study in Dutch Twins

Boomsma, Dorret I.; Rebollo, Irene; Derks, Eske M.; Beijsterveldt, Catharina E. M. van; Althoff, Robert R.; Rettew, David C.; Hudziak, James J.

doi:10.1016/j.biopsych.2006.02.028

Cited by 77 publications

(79 citation statements)

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“…It has been suggested that such increase in heritability during adolescence may partially reflect active gene-environment correlation [44], a phenomenon which we cannot investigate via the classical twin design, however. Our results with the Affective Problems scale in the two age groups agree with those of Boomsma et al [5], which found similar trends for the CBCL juvenile bipolar scale. Consistently, Thapar and McGuffin [52], found that shared environmental influences on the one side, and genetic factors on the other, were substantial in explaining variance of children's (8-11 years) and adolescents' (12-16 years) depressive symptoms, respectively.…”

Section: Discussionsupporting

confidence: 92%

“…An additional issue to consider is that a bulk of studies on problem behaviours show that the proportion of genetic and environmental contribution to individual differences vary depending on the age of children [5,29,44]: Silberg et al [48] suggested that differences in the genetic or environmental contributions to problem behaviours in prepubertal versus post-pubertal youth can indicate the presence of different subtypes of the same disorder, or even different psychological syndromes.…”

Section: Introductionmentioning

confidence: 99%

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Genetic and environmental influences upon the CBCL/6-18 DSM-oriented scales: similarities and differences across three different computational approaches and two age ranges

Spatola

Rende

Battaglia

2010

Eur Child Adolesc Psychiatry

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To cite this version:Chiara A. M. Spatola, Richard Rende, Marco Battaglia. Genetic and environmental influences upon the CBCL/6-18 DSM-oriented scales: similarities and differences across three different computational approaches and two age ranges. European child & adolescent psychiatry, 2010, 19 (8), pp.647-658. <10.1007/s00787-010-0102-z>. ORIGINAL CONTRIBUTIONGenetic and environmental influences upon the CBCL/6-18 DSM-oriented scales: similarities and differences across three different computational approaches and two age ranges Abstract Inasmuch as the newly established DSM-oriented CBCL/6-18 scales are to be increasingly employed to assess clinical/high-risk populations, it becomes important to explore their aetiology both within the normal-and the extreme range of variation in general population samples and to compare the results obtained in different age groups. We investigated by the Quantitative Maximum Likelihood, the De Fries-Fulker, and the Ordinal Maximum Likelihood methods the genetic and environmental influences upon the five DSM-oriented CBCL/6-18 scales in 796 twins aged 8-17 years belonging to the general population-based Italian Twin Registry. When children were analysed together regardless of age, most best-fitting solutions yielded genetic and non-shared environmental factors as the sole influences for DSMoriented CBCL/6-18 behaviours, both for the normal and the extreme variations. When analyses were conducted separately for two age groups, shared environmental influences emerged consistently for Affective and Anxiety Problems in children aged 8-11. Oppositional-Defiant, Attention Deficit/Hyperactivity, and Conduct Problems appeared-with few exceptions-influenced only by genetic and non-shared environmental factors in both age groups, according to all three computational approaches. The De Fries-Fulker method appeared to be more sensitive in detecting shared environmental effects. Analysing the same set of data with different analytic approaches leads to better-balanced views on the aetiology of psychopathological behaviours in the developmental years.

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Section: Discussionsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Genetic and environmental influences upon the CBCL/6-18 DSM-oriented scales: similarities and differences across three different computational approaches and two age ranges

Spatola

Rende

Battaglia

2010

Eur Child Adolesc Psychiatry

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“…Heritability of the CBCL-juvenile bipolar disorder (CBCL-JBD) increases with age (from 63% to 75%) whereas the effects of shared environment decrease with age (from 20% to 8%). The stability of the CBCL-JBD phenotype is high (Boomsma et al, 2006b). Genetic factors account for the majority of the stability.…”

Section: Discussionmentioning

confidence: 99%

Netherlands Twin Register: From Twins to Twin Families

Boomsma¹,

et al. 2006

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“…The diagnostic value of the CBCL-DP has been discussed in recent years. Previous studies have revealed evidence of high heritability [4,7,8], longitudinal stability [8], stability across ages [4,5,9] and neurobiological basis [10,11]. In addition, there is a growing consensus that the CBCL-DP phenotype should be considered an indicator of poor self-regulation, overall psychopathology, symptom severity, exposure to psychosocial adversity and functional impairment [12,13,14,15,16,17], as well as a heritable trait that increases susceptibility for later psychopathology and impairment [5,17,18].…”

Section: Introductionmentioning

confidence: 99%

Prevalence and Correlates of Psychopathology in Children and Adolescents Evaluated with the Strengths and Difficulties Questionnaire Dysregulation Profile in a Clinical Setting

Carballo

Serrano-Drozdowskyj²,

Nieto³

et al. 2014

Psychopathology

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Background: The clinical presentation of children and adolescents referred to mental health services is frequently complicated by comorbid and severe affective and behavioral dysregulation. This dysregulation phenotype seems to be an indicator of overall psychopathology, symptom severity and functional impairment. Currently, this phenotype is assessed by the Child Behavior Checklist. However, the widely used Strengths and Difficulties Questionnaire (SDQ) has been recently validated to screen the Dysregulation Profile (SDQ-DP) in clinical settings. The objective of this study was to determine the prevalence and demographic, psychosocial and clinical correlates of the SDQ-DP phenotype in a Spanish clinical sample. Sampling and Methods: In a clinical sample of 623 consecutively referred children and adolescents (4-17 years old), we compared clinical and sociodemographic correlates between subjects who met the SDQ-DP criteria (DP) and those who did not (NO_DP). Sociodemographic data, parent-rated SDQ, Children's Global Assessment Scale, Clinical Global Impression, family Apgar scale and clinical diagnoses were collected by experienced child and adolescent psychiatrists. Results: Overall in our sample, 175 subjects (28.1%) met the SDQ-DP criteria (DP group). Compared with the NO_DP group, the DP subjects had significantly higher scores on internalizing and externalizing psychopathology, problems with peers and overall problems as well as significantly lower scores on prosocial behavior. Clinical diagnoses assigned revealed that DP subjects showed significantly greater psychiatric comorbidity. DP subjects also showed significantly worse family functioning and increased symptom severity and significantly lower scores on psychosocial functioning. Conclusions: A high prevalence of children and adolescents with the dysregulated profile, assessed by the SDQ-DP, was found in our clinical setting. The SDQ-DP may serve as an index of overall psychological severity and functional impairment. In addition, it may indicate family dysfunction. Further research is needed to validate the clinical value of SDQ-DP by examining longitudinal stability, heritability, adult outcome, risk factors and diagnostic correlates.

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Longitudinal Stability of the CBCL-Juvenile Bipolar Disorder Phenotype: A Study in Dutch Twins

Cited by 77 publications

References 40 publications

Genetic and environmental influences upon the CBCL/6-18 DSM-oriented scales: similarities and differences across three different computational approaches and two age ranges

Genetic and environmental influences upon the CBCL/6-18 DSM-oriented scales: similarities and differences across three different computational approaches and two age ranges

Netherlands Twin Register: From Twins to Twin Families

Prevalence and Correlates of Psychopathology in Children and Adolescents Evaluated with the Strengths and Difficulties Questionnaire Dysregulation Profile in a Clinical Setting

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