Using path analysis to understand parents' perceptions of their children's weight, physical activity and eating habits in the Champlain region of Ontario
Notice bibliographique
Résumé
INTRODUCTION: Parents have a fundamental role in promoting the healthy weight of their children. OBJECTIVES: To determine parental perceptions of their child's body weight, eating and physical activity (PA) behaviours, and to test a predictive model of parental perceptions regarding their child's PA and healthy eating behaviours. METHODS: A random-digit telephone survey was conducted among parents of children four to 12 years of age living in the Champlain region of Ontario. Descriptive statistics were used to summarize the responses. Path analysis was used to identify predictors of parental perceptions of PA and healthy eating. RESULTS: The study sample consisted of 1940 parents/caregivers. Only 0.2% of parents reported their child as being obese; 8.6% reported their child as being overweight. Most parents perceived their child to be physically active and eating healthily. Approximately 25% of parents reported that their child spent 2 h/day or more in front of a screen, and that their child consumed less than three servings of fruits and vegetables daily, and regularly consumed fast food. Variables that correlated with PA perceptions included time spent reading/doing homework, interest in PA, perceived importance of PA, frequency of PA, level of parental PA, participation in organized sport, child weight and parental concern for weight. Variables that predicted perceptions regarding healthy eating were parental education, household income, preparation of home-cooked meals, fruit and vegetable intake, and concern for and influence on the child's weight. CONCLUSIONS: Parents in the present study sample did not appear to understand, or had little knowledge of the recommendations for PA and healthy eating in children. Parents appeared to base their judgment of healthy levels of PA or healthy eating behaviours using minimal criteria; these criteria are inconsistent with those used by health professionals to define adequate PA and healthy eating. The present survey highlights an important knowledge gap between scientific opinion and parental perceptions of the criteria for healthy PA and eating behaviours.
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 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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| 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 | 0,001 |
| 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 ».