Evidence map›Paper›PMID 41964858›Full record

ArticleResearch on child and adolescent psychopathology2026

Bidirectional Within-Person Associations Between Callous-Unemotional Traits and Student-Teacher Relationships Across Elementary School.

Vincent Bégin, Georgette E Fleming, Alexa Martin-Storey, Gabrielle Garon-Carrier, Elizabeth Harvey, Michèle Déry

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Article in Research on child and adolescent psychopathology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Vincent BéginDepartment of Psychoeducation, University of Sherbrooke, 2500 boulevard de l'Université, Sherbrooke, Québec, Canada. vincent.begin@usherbrooke.ca.ORCID 0000-0003-4949-6935
Georgette E FlemingSchool of Psychological Sciences, Macquarie University, Sydney, Australia.ORCID 0000-0002-9606-066X
Alexa Martin-StoreyDepartment of Psychoeducation, University of Sherbrooke, 2500 boulevard de l'Université, Sherbrooke, Québec, Canada.ORCID 0000-0003-0026-1545
Gabrielle Garon-CarrierDepartment of Psychoeducation, University of Sherbrooke, 2500 boulevard de l'Université, Sherbrooke, Québec, Canada.ORCID 0000-0002-9906-5247
Elizabeth HarveyGroup for Research and Intervention on Children's Social Adjustment, Sherbrooke, Canada.ORCID 0000-0002-5639-6986
Michèle DéryDepartment of Psychoeducation, University of Sherbrooke, 2500 boulevard de l'Université, Sherbrooke, Québec, Canada.ORCID 0000-0003-0994-000X

Funding

CIHR 82694Social Sciences and Humanities Research Council 435-2012-0803
6 · The paper itself

Abstract

Callous-unemotional (CU) traits characterize a distinct subgroup of children with conduct problems and are linked to poorer quality student-teacher relationships. Knowledge is lacking, however, about the directional dynamics underlying these associations at the within-person level. To address this gap, we examined the within-person associations between CU traits and teacher-child closeness and conflict across elementary school, as well as the invariance of these associations across sexes and reception of specialized services for conduct problems. Data from 463 at-risk children (46.2% girls, 8.35 years at study intake) were collected annually from elementary school teachers and used to conduct random-intercepts cross-lagged panel models decomposing between- from within-person associations between CU traits and teacher-child closeness, and CU traits and teacher-child conflict. Besides associations at the between-person level, these models revealed significant correlations between the within-person components of CU traits and teacher-child closeness, as well as between those of CU traits and teacher-child conflict. Cross-lagged estimates revealed bidirectional within-person associations between CU traits and teacher–child closeness among boys, unidirectional within-person associations from CU traits to teacher–child closeness among girls, and bidirectional within-person associations between CU traits and teacher–child conflict that were invariant across sexes. All models were invariant across reception of specialized services. These results provide further evidence for bidirectional associations between CU traits and student-teacher relationships quality. Interventions deployed within school settings should aim to support teachers in building and maintaining positive relationships and avoiding coercive and conflictual cycles with children presenting these traits to promote better developmental and educational outcomes.

Indexed as

Conduct DisorderEmotionsEmpathyInterpersonal RelationsSchool TeachersStudentsChildFemaleHumansMaleSchoolsCallous-Unemotional TraitsSex-Specific EffectsStudent-Teacher RelationshipTeacher-Child ClosenessTeacher-Child Conflict

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.