46: Longitudinal Follow-Up of Temperament and Nutrition Risk in Preschool Children
Notice bibliographique
Résumé
Nutrition plays an essential role in the growth and development, school-readiness and well-being of children. Temperament is defined as constitutionally based individual differences in reactivity and self-regulation. While temperament tends to be relatively stable over time, there is evidence that links between early temperament and child health outcomes are malleable. Temperament is increasingly recognized as an early childhood behavioral risk factor, and may impact screen time use, outdoor play and childhood obesity. The relationship between temperament and child nutrition is however less clear. The primary objective is to investigate if early temperament factors in preschool aged children are associated with later nutritional risk. The secondary objective is to examine the relationship between early temperament and later dietary intake and eating behaviour. Longitudinal data was collected through a primary care practice based research network (TARGet Kids!). At each visit nutritional risk was assessed with the total score of the Nutrition Screening Tool for Every Preschooler (NutriSTEP®) and its dietary intake and eating behavior subscales. In addition temperament was measured at each visit with the very short form of the Child Behavior Questionnaire including three domains: Negative Affectivity (e.g. discomfort, frustration), Effortful Control (e.g. inhibitory- and attentional control) and Surgency (e.g. impulsivity, activity). Multivariate linear regression modeling was used to examine the effect of the three temperament domains with changes in total score of nutritional risk, and dietary intake and eating behavior subscores over time adjusted for the covariates age, gender, neighborhood income, maternal education, parent BMI, and baseline NutriSTEP score. 693 children were included (mean age at baseline 3.1 years, 49.7% male, mean follow-up 14 months) with a mean total NutriSTEP® score of 13.9 (SD 5.9) at follow-up. For each one point increase in effortful control at baseline (mean score 5.4 [SD 0.7]) there was a significant decrease in total nutritional risk score (adjusted β −0.68 [95% CI −1.06 to −0.29]) and a healthier dietary intake (adjusted β −0.51 [95% CI −0.78 to −0.25]) over time, independent of covariates. For each one point increase in negative affectivity (mean score 3.7 [SD 0.8]), there was a small increase in poor dietary behaviours (adjusted β 0.01 [95% CI 0.00 to 0.02]) but no effect on total nutritional risk score or dietary intake subscore was found. No relationship with surgency was identified. Early childhood temperament impacts future nutritional risk in preschool children. Interventions to promote early effortful control in young children may lead to reduced nutritional risk.
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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 ».