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Enregistrement W6990528547

Dysregulation in Childhood and Adolescence: Measurement, Development, and Correlates

2019· article· en· W6990528547 sur OpenAlexaboutno aff

Notice bibliographique

RevueData Archiving and Networked Services (DANS) · 2019
Typearticle
Langueen
DomainePsychology
ThématiqueChild and Adolescent Psychosocial and Emotional Development
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEmotional dysregulationCBCLConceptualizationChild Behavior ChecklistPsychometricsMental healthStrengths and Difficulties QuestionnairePoison controlHuman factors and ergonomics
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Many children and adolescents referred to clinical mental health institutions present a complex picture of co-occurring internalizing problems (e.g. anxiety) and externalizing problems (e.g. aggressive behavior). These ‘dysregulated’ children have problems with regulating affect, behavior and cognition, and are at increased risk for maladaptive outcomes. The DP has emerged as a reliable and valid measure of the complex phenotype of dysregulation and is generally defined by elevated scores on three syndrome scales of the Child Behavior Checklist (CBCL), namely the Anxious/Depressed, Aggressive Behavior and Attention Problems (or AAA-)scales. The CBCL is a well-known and widely used parent-reported instrument to chart behavioral and emotional problems of children and adolescents. In this dissertation, five empirical studies on the DP are presented, utilizing four different data sets from three countries (Belgium, Canada, United States). A multi-method and multi-informant approach were adopted. The first aim was to examine the conceptualization and measurement of the DP. Results from factor analyses revealed that a bifactor model best described the profile structure of the AAA-scales that comprise the DP. A bifactor model is a hierarchical model where items (symptoms) load on both on a general underlying factor of Dysregulation as well as one of three specific factors of Anxiety/Depression, Aggressive Behavior or Attention Problems. The same result was found across samples, instruments (CBCL and Strengths and Difficulties Questionnaires), developmental periods (early childhood, middle childhood and adolescence), and reporters (mothers, fathers, teachers, youth themselves). As such, this dissertation provides robust evidence that the DP can best be conceptualized as a broad syndrome of dysregulation which exists over and above specific problems related to affect, behavior, and cognition. This bifactor model bears strong resemblance to models of a ‘general factor of psychopathology’ (GP or ‘p factor’), and integration of both fields of literature is thus warranted. The second aim was to examine stability and change of the DP. Findings showed that across different samples, relative stability of the DP (i.e., the extent to which the relative differences in the DP among children remain the same over time) was strong for parent-reported DP and moderate for teacher-reported DP. The specific factors such as Anxiety/Depression were only weak to moderately stable. This suggests that while dysregulation, as a general vulnerability for developing different forms of psychopathology, is more stable than its specific manifestations. While homotypic continuity (e.g., dysregulation predicting dysregulation at a later time point) was strongest, there was also evidence for heterotypic continuity. This indicates that specific manifestations of psychopathology (e.g., anxiety/depression) increase risk of comorbid psychopathology (i.e., dysregulation) across time and vice versa. Furthermore, in this general population sample, the DP was found to follow a nonlinear developmental course, peaking in early adolescence. Specifically, DP scores increased from age 4 to 11, and then decreased (which looks like an inverted U-shape). The third aim was to investigate early childhood antecedents, adolescent outcomes and psychophysiological correlates of the DP. This dissertation further established the DP as a broad risk marker, as we found that the DP predicted a range of negative outcomes including personality pathology, mental health problems, and psychosocial maladjustment. We added to a scarce body of research on antecedents by showing that the DP is predicted by early temperament and self-control, and family factors including maternal depression and parenting. Exploratory findings showed that the DP was linked to higher resting heart rate, reflecting chronic overarousal.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,010
Score d'incertitude au seuil0,021

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0010,001
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,021
Tête enseignante GPT0,246
Écart entre enseignants0,225 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

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