FOOD FOR THOUGHT: BIOPSYCHOSOCIAL FACTORS AND FEEDING BEHAVIOURS IN FAILURE TO THRIVE
Notice bibliographique
Résumé
Abstract BACKGROUND Failure to thrive (FTT) is prevalent in 5% of the paediatric population and results from the interactions between the child’s health, behaviour, development and social environment. A multi-disciplinary team approach to treat FTT is effective but resources are not always available. OBJECTIVES To characterize biopsychosocial factors and feeding behaviours in children presenting with failure to thrive in our clinic. DESIGN/METHODS A retrospective cross-sectional chart review of children referred to our academic growth and feeding clinic was performed. Children between the ages of 2 months and 5 years with a first clinic visit between 1st January 2015 and 31st of December 2016 were included. Data from the patient’s first visit was included in the study. In a REDCAP database, anthropometric measures according to WHO growth curves, medical history and concurrent developmental delays were recorded. Factors important to the child’s social environment (e.g. maternal mental health, financial problems) were identified. These factors were self-reported by parents to the clinic team or noted on the patient’s referral. Specific attention was paid to the identification of feeding behaviours of children (e.g. vomiting, gagging) and parents (e.g. force feeding, use of distractions). Descriptive statistics were used to analyze the data. RESULTS The study included n = 138 (53.6% male) children with a mean age of 16.9 (SD 10.8) months. The mean weight-for-age percentile was 16.0 (SD 24.3), mean height-for age percentile was 23.8 (SD 30.7), and mean weight-for-length percentile was 16.8 (SD 23.4). 88 (63.8%) children had both growth and feeding behaviour concerns. 26 (18.8%) children were born prematurely and 24 (17.4%) were small for gestational age. 57 (41.3%) children had a history of gastro-oesophageal reflux. In 10 (7.2 %) children, a genetic diagnosis was identified. Concurrent developmental delays were described in the gross motor (20.3%), fine motor (8.0%), speech and language (20.3%) and social domains (6.5%). Feeding developmental milestones that were delayed included not-self feeding (17.4%) and a diet inappropriate for age (20.3%). Important factors that were identified in the child’s social environment were: maternal depression (5.1%), CAS involvement (10.1%) and financial problems (7.2 %). Maternal anxiety was reported but difficult to define. In more than half (50.7%) of the children, feeding behaviours of vomiting, gagging and/or crying and arching were described. Parents used force feeding (14.5%) and distractions (47.1%), and reported mealtimes longer than 30 minutes (70.3%). Most commonly used distractions were television (25.4%) and mobile screens (14.5%). CONCLUSION In our academic population of children with FTT, there is a high incidence of concurrent developmental delays, delayed feeding milestones and feeding behaviour problems. Almost half of the parents used distractions and even more parents prolonged mealtimes to make their child eat. These results underscore the importance of a multi-disciplinary team approach to address feeding behaviours and child development in our population of children with FTT.
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) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| 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) | 0,004 | 0,000 |
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.
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 ».