Exploring the complexities of weight management care for children with spina bifida: a qualitative study with children and parents
Notice bibliographique
Résumé
1) To explore how children with spina bifida (SB) and their parents understand bodyweight, health and weight management; and 2) To identify what services and supports children with SB and their families feel are most appropriate to help them manage their health and weight. The study used interpretive description within a qualitative design. Participants were children with SB (aged 10-18) attending two Canadian SB clinics and their parents. Data were collected through individual interviews and analyzed using inductive thematic analysis. Five children and five parents participated in the study. Children and parents had a weight-centric approach to health, which was related to the child’s mobility. Weight was considered to be under individual control and mostly through diet. Trusting relationships between healthcare providers, children and families were important to discuss weight in a non-judgemental manner. Children should be involved in setting meaningful and achievable weight management goals. Greater knowledge of how children with SB and their families understand weight and health offers opportunities for non-judgemental discussions about their needs and wishes. Helping families to place more value on health over weight may reduce feelings of stigma, while allowing children to develop some autonomy over health-related decisions. Children with spina bifida and their parents do not recognise the complexity of factors contributing to weight regulation.Weight regulation was often seen as the child’s responsibility, which could lead to feelings of guilt and shame through internalised weight stigmaHealthcare professionals working with children with spina bifida should explore their perceptions, beliefs, and behaviours related to weight, health and mobility to ensure they are not causing themselves physical and/or psychological harm Children with spina bifida and their parents do not recognise the complexity of factors contributing to weight regulation. Weight regulation was often seen as the child’s responsibility, which could lead to feelings of guilt and shame through internalised weight stigma Healthcare professionals working with children with spina bifida should explore their perceptions, beliefs, and behaviours related to weight, health and mobility to ensure they are not causing themselves physical and/or psychological harm
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Prédiction distillée sur la base complète
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 | 0,000 | 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 | 0,000 | 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)
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 tête enseignante, 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 ».