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Predictive Validity of CU Traits on Conduct Disorder-Related Antisocial Behaviors in Canadian Adolescents: Advancing Understandings Relevant to the DSM-5 Specifier With Limited Prosocial Emotions

2023· dissertation· en· W7070703503 sur OpenAlexaboutno aff

Notice bibliographique

RevueScholarship at UWindsor (University of Windsor) · 2023
Typedissertation
Langueen
DomaineSocial Sciences
ThématiqueSocial Sciences and Humanities
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPredictive validityProsocial behaviorAggressionModerationJuvenile delinquencySocioeconomic statusPredictive powerTest (biology)Poison controlLogistic regressionConduct disorder
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The cross-sectional study employed logistic regression models to test hypotheses and explore the relationships between callous unemotional (CU) traits and antisocial behavioral outcomes among a sample of Canadian youth. Four main predictive associations were hypothesized, suggesting significant direct links between CU traits and antisocial behaviors. Specifically, it was hypothesized that four CU traits, namely, thinking school is unimportant, having a lack of sympathy, failure to comfort distressed children, and engaging in cruel behaviors would serve as strong predictors of antisocial behaviors. Furthermore, the study sought to assess the predictive validity of additional participant characteristics, including age, gender, socioeconomic status (SES), and exposure to parental physical or verbal abuse. In addition to examining predictive associations and youth’s characteristics, the study also explored the moderation of CU trait-antisocial behavior relationships by gender. Interactions between each of the four CU traits and gender were systematically explored to determine if gender moderated any of the CU-antisocial behavior predictive associations. This study analyzed a nationally representative sample of 5,539 Canadian youth, nearly evenly distributed across three age brackets (10 to 11, 12 to 13, 14 years) and closely balanced on gender (49.9% girls, 50.1% boys). SES of the sample ranged from 14.3% in the lowest to 12.1% in the highest SES brackets. This study identified significant associations between CU traits and a multitude of antisocial behaviors among Canadian youth. Among these predictive associations there was a strong, statistically significant relationship between cruelty toward others and acts of aggression such as kicking, biting or hurting others (OR = 13.24 [95% CI 8.04, 21.80]). In terms of property destruction, this study again found that multiple CU traits led to increased likelihood of damaging of property (OR ranging from 2.08 [95% CI 1.62, 2.67] to 3.53 [95% CI 2.15, 5.76]), while violations of prosocial norms, such as school disobedience, were also predicted by a number of CU traits. Examining secondary hypothesized covariates further found that that age, gender, SES and parental behavior significantly influence antisocial behaviors. Among the findings, older children (OR = 0.54 [95% CI 0.46, 0.63]), were less likely to engage in fights, contrasted with boys (OR = 2.06 [95% CI 1.82, 2.34]), and those from low SES households (OR = 1.69 [95% CI 1.32, 2.16]). Further, those experiencing parental physical or verbal abuse (ORs ranging from 1.55 to 7.17), showed increased risk across antisocial behaviors, including property offenses and school disobedience. The propensity to lie or cheat increased with age (ORs from 1.32 to 1.50), and escalated with parental abuse (ORs from 1.55 to 3.32). Finally, this study investigated the interplay between gender and key predictors in antisocial behavior. A significant interaction was found between gender and the CU trait regarding the importance of school and disobedience in school. Boys who saw school as somewhat important (OR = 2.16 [95% CI 1.75, 2.55]) or unimportant (OR = 3.07 [95% CI 1.87, 5.04]) were more likely to be disobedient, while for girls, the risk was higher (OR = 2.95 [95% CI 2.32, 3.76]; OR = 7.74 [95% CI 3.65, 16.40]). This study contributes valuable practically and statistically significant findings to the existing Canadian literature on CU traits and antisocial outcomes by providing a nationally representative examination of their predictive validity among Canadian youth. Finally, the findings have implications for Canadian social workers by providing increased understandings of early identification of, and subsequent interventions for, antisocial behaviors related to conduct disorder. Understanding the role of CU traits and other participant characteristics can inform tailored approaches to support at-risk youth and promote positive developmental trajectories.

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)0,003
score de la tête « metaresearch » (Gemma)0,009
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 enseignants0,015
Score d'incertitude au seuil0,108

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,009
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0030,003
Études des sciences et des technologies0,0030,001
Communication savante0,0020,000
Science ouverte0,0010,002
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 Opus0,051
Tête enseignante GPT0,289
Écart entre enseignants0,238 · 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
Publié2023
Routes d'admission1
Résumé présentoui

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