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Record W4404194870 · doi:10.1016/j.ejtd.2024.100483

Traits de personnalité limite en émergence, empathie et comportements intériorisés et extériorisés chez les enfants maltraités

2024· article· fr· W4404194870 on OpenAlexaff
Anne-Laurence Bastarache, Emy Marceau, Juliette St-Onge, Olivier Didier, Miguel M. Terradas

Bibliographic record

VenueEuropean Journal of Trauma & Dissociation · 2024
Typearticle
Languagefr
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsPsychologyHumanitiesArt

Abstract

fetched live from OpenAlex

Certaines études suggèrent que les traits de personnalité limite en émergence (TPLÉ) seraient liés aux mauvais traitements subis à l'enfance et qu'une faible capacité d'empathie ainsi que la présence de comportements intériorisés et extériorisés y soient associées (Dubé et al., 2013). Puisque la majorité des enfants hébergés en Centre de la protection de l'enfance et de la jeunesse (CPEJ) ont été victimes de maltraitance, ceux-ci semblent être davantage à risque de développer ces difficultés, en comparaison aux jeunes issus de la population générale et ceux consultant en psychologie (Directeurs de la protection de la jeunesse, 2023). Cette étude vise à comparer ces trois groupes en ce qui concerne les TPLÉ, l'empathie (cognitive, affective, globale) et les comportements intériorisés et extériorisés. Elle cherche aussi à vérifier le rôle modérateur de l'empathie sur la relation entre les TPLÉ et les comportements extériorisés. Méthode. Cent seize enfants de 6 à 12 ans ont été rencontrés: 35 jeunes hébergés en CPEJ, 42 consultant en psychologie et 39 issus de la population générale. Les enfants ainsi que leur mère ou leur éducateur (enfants en CPEJ) ont rempli des questionnaires mesurant les diverses variables à l’étude. Les analyses de variance révèlent une différence significative entre les enfants hébergés en CPEJ et ceux de la population générale concernant les TPLÉ, l'empathie globale mesurée auprès des enfants et les comportements intériorisés et extériorisés. L'empathie globale mesurée auprès des enfants modère la relation entre les TPLÉ et les comportements extériorisés. La présente recherche permet de cibler des variables à considérer lors des interventions auprès des enfants présentant des TPLÉ afin d’éviter la cristallisation de ces derniers. Some studies suggest that emerging borderline personality traits (EBPD) are linked to childhood maltreatment and that the presence of empathy difficulties and internalized and externalized behaviors are associated with them. Since most children housed in Youth Protection Centers (YPC) have been victims of maltreatment, they appear to be at greater risk of developing these difficulties compared to children from the general population and those consulting a psychologist. This study compares these three groups regarding EBPD, empathy (cognitive, affective, global), and internalized and externalized behaviors. It also aims to verify the moderating role of empathy in the relationship between EBPD and externalized behaviors. Method. One hundred and sixteen children aged 6 to 12 were divided into three groups: 35 housed in Youth Protection Centers, 42 consulting in psychology, and 39 from the general population. Children and caregivers responded to separate questionnaires measuring the various variables under study. Analysis of variance revealed a significant difference between children housed in YPC and those in the general population regarding EBPD, self-reported global empathy, and internalized and externalized behaviors. Global empathy also seems to moderate the relationship between EBPD and externalized behaviors when assessed by children. These results would make it possible to target variables to consider during interventions with children with EBPD to avoid the consolidation of their EBPD traits into adult borderline personality disorder.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.370
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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