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Enregistrement W4409466260 · doi:10.3389/frcha.2025.1556534

Editorial: Women in developmental psychopathology and mental health

2025· editorial· en· W4409466260 sur OpenAlexaff
Isabelle V. Daignault, Eva Möhler

Notice bibliographique

RevueFrontiers in Child and Adolescent Psychiatry · 2025
Typeeditorial
Langueen
DomaineMedicine
ThématiqueMaternal Mental Health During Pregnancy and Postpartum
Établissements canadiensUniversité de Montréal
Organismes subventionnairesnon disponible
Mots-clésPsychopathologyDevelopmental psychopathologyMental healthPsychologyDevelopmental psychologyClinical psychologyPsychiatry

Résumé

récupéré en direct d'OpenAlex

It was with this vision that Dr. Eva Möhler and I accepted the invitation to act as co-editors of this special issue. Our mission was to create a platform to promote and amplify the work of women scientists across developmental psychopathology and mental health. To ensure this focus, we invited submissions where the first or last author identifies as a woman, highlighting the diversity of research being conducted. Despite the broad scope of developmental psychopathology, a unifying theme emerged: trauma-related issues. Trauma remains a critical focus in the field, with profound implications for children, adolescents, caregivers, and mental health professionals alike. The contributions in this issue explore trauma-related challenges through multiple lenses, offering unique insights into the systemic, interpersonal, and psychological factors that shape mental health outcomes.The collection begins with a critical investigation into barriers to effective intervention for children with sexual behavior problems. The study sheds light on the challenges hindering therapy completion and highlights actionable pathways to improve outcomes for this underserved group within mental health systems. Notably, the findings emphasize the importance of placement stability, social support networks, and maternal support in facilitating therapy completion and enhancing the likelihood of successful intervention.Child Maltreatment Among Autistic Children in Protection Services Another study explores the complexities of child maltreatment among autistic children involved in child protection services. Results revealed that autistic children appear at higher risk of child maltreatment and at higher risk of presenting co-occurring conditions compared to their nonautistic peers. By examining the specific forms and correlates of maltreatment, the research underscores the need for tailored interventions and robust support systems to address the unique challenges faced by this vulnerable population.Residential Child Care Worker and perceptions of Well-Being and Work-Related Stress Brend and colleagues examine the well-being of residential childcare workers by exploring their sense of work-related pride and achievement. Given that caretakers' attitudes play a crucial role in the success of treatment in residential mental health facilities, this study addresses an important aspect of child welfare. It identifies a rarely studied protective mechanism for childcare workers, which relies on the reciprocity, trust, and confidence established in their relationships with children. Their findings are relevant not only to mental health professionals but also to child caretakers in daycare settings, emphasizing the importance of prevention in child mental health.How adverse childhood experiences impact the professional quality of life of residential care workers: resilience as a mediator for burnout, secondary traumatic stress, and compassion satisfaction. This important study investigates how adverse childhood experiences (ACEs) impact the professional quality of life of care providers. The findings underscore the cumulative effects of personal trauma, examining how burnout, secondary traumatic stress, and compassion fatigue are mitigated by resilience. This research provides valuable insights into sustaining mental health professionals in demanding caregiving fields.The issue also addresses adolescents in outpatient clinic settings, with a study exploring PTSD, emotional dysregulation profiles, and substance use. By identifying key patterns and risk factors within this population, the research highlights the interconnectedness of trauma, behavioral regulation, and substance-related challenges, offering clinicians new pathways for intervention.Collectively, these contributions address some of the most pressing challenges in developmental psychopathology: The vulnerability of children and adolescents, especially those experiencing trauma, maltreatment, or systemic barriers to care. The mental health and well-being of caregivers, including the gendered nature of caregiving and its emotional toll. The need for resilience-based interventions, tailored support systems, and innovative strategies to address the ripple effects of trauma across individuals and systems. This issue is unique in its multi-faceted exploration of trauma-whether in child protection settings, outpatient clinics, or caregiving environments. It reflects not only the diversity of the challenges but also the resilience and innovative contributions of women researchers leading the field. Through this special issue, we underscore the importance of amplifying women's voices in developmental psychopathology and mental health research. Their work shines a light on underserved populations, systemic barriers, and pathways for change-bringing us closer to equitable, trauma-informed care for all. We hope this collection inspires further research, policy change, and global efforts to promote gender equality in science, mental health, and developmental care.Dr. Isabelle V. Daignault and Dr. Eva Möhler Co-Editor, Special Issue on Women in Developmental Psychopathology

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,106
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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 Opus0,005
Tête enseignante GPT0,263
Écart entre enseignants0,258 · 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 tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

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
Publié2025
Routes d'admission1
Résumé présentoui

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