Influence of Personal Traits, Social Relationships, and External Resources on the Development of Emotional Resilience in Children From East London: Protocol for an Observational Accelerated Longitudinal Cohort Study
Notice bibliographique
Résumé
BACKGROUND: Emotional resilience is a dynamic process by which individuals may prevent, overcome, and thrive following challenging events. Emotional resilience can be defined as absence of negative outcomes (ie, symptoms of psychopathology) and/or the presence of adaptive outcomes (ie, well-being). Despite the wealth of research tracking the nature of and contributions to emotional resilience in adolescence and adulthood, there is a dearth of evidence on the nature of resilience and its development during preadolescent childhood despite this being an important preventative period for later mental health difficulties and a period when emotional experiences change. OBJECTIVE: Our primary study objectives are 3-fold: to explore how preadolescent children growing up in deprived areas of London may operationalize resilience, evaluate whether there are differences in the development or trajectories of resilience among our target population, and understand what contributes to resilience pathways over time. Additionally, our research aims to better understand the psychometric properties of resilience measures used in a preadolescent sample and assess the feasibility of developing a longitudinal cohort study of preadolescent children in East London. METHODS: We will conduct an accelerated longitudinal cohort study in primary schools across the broad geographical area of East London. The multimethod approach will span across 3 data collection arms: (1) child cognitive tasks and psychometric questionnaires in classroom settings, (2) teacher ratings, including teacher assessments of school mental health provisions, and (3) parent questionnaires. We aim to recruit approximately 1200 children aged 7-11 years at baseline across UK school years 3, 4, and 5. Our measures will span themes of resilience and mental health, as well as personal, social, and community resources available to the children. We will collect quantitative data via questionnaires from children, their parents, and school staff. We will collect qualitative data from the children through paper-based tasks. RESULTS: Study recruitment commenced in October 2022 and continued till December 2023. Baseline testing commenced in October 2022 and continued till December 2023; 873 students were enrolled at baseline. Follow-up is anticipated to continue at least annually until June 2027. CONCLUSIONS: This study will assess the feasibility of conducting a longitudinal cohort study on preadolescent children in East London. Alongside evaluating the psychometric properties of resilience measures used in this age group, this study will explore how resilience develops in children across time and relate this to other outcome measures. By identifying how personal, social, and community resources may affect resilience in preadolescent children, we will enhance the understanding of how emotional resilience develops in preadolescent children, and future studies will be able to develop interventions to boost resilience by targeting young and diverse populations. TRIAL REGISTRATION: ISRCTN ISRCTN12430839; https://www.isrctn.com/ISRCTN12430839. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/70797.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,027 | 0,024 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,003 |
| Méta-épidémiologie (sens large) | 0,004 | 0,004 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,004 | 0,002 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,025 | 0,006 |
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.
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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».