Injury talk: spontaneous parent–child conversations in the aftermath of a potentially traumatic event
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Notice bibliographique
Résumé
BACKGROUND: While talking about traumatic experiences is considered central to psychological recovery, little is known about how these conversations occur in daily life. OBJECTIVE: We investigated spontaneous injury talk among parents and children in the aftermath of a child's hospitalisation due to physical trauma, and its relationship with children's socioemotional functioning. METHODS: In a prospective naturalistic observation study, we audio-sampled the daily life of 71 families with the Electronically Activated Recorder after their child (3-16 years old) was discharged from hospital. We collected close to 20 000 snippets of audio information, which were double-coded for conversation characteristics, and measured children's socioemotional functioning with the Strengths and Difficulties Questionnaire (SDQ) at 6 weeks and 3 months postinjury. FINDINGS: The children were involved in injury talk for, on average, 46 min/day, 9 min of which referred to emotions. Children had significantly more injury conversations with their mothers than with their fathers. The tone of injury conversations was significantly more positive than that of non-injury conversations. More direct injury talk was associated with fewer problems on the emotion subscale of the SDQ at 3 months. Other associations between aspects of injury talk and children's socioemotional functioning were mostly non-significant, although they appeared to be stronger at 3 months than at 6 weeks. CONCLUSIONS: Families spontaneously talked about the injury and associated issues for about the same amount of time per day as a therapist might within a session (a 'therapy hour'). CLINICAL IMPLICATIONS: Making full use of naturally occurring injury talk may be a valuable direction for parent and family-focused postinjury interventions. However, the study design prevents causal inference, and further exploration is warranted.
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Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
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Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_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