Double Burden of Nutrition and some Eating Habits Characteristics of Preschool Children in Nam Hong Commune, Dong Anh district, Hanoi, 2018
Notice bibliographique
Résumé
Abstract: The study aims to provide evidence of double nutritional burden (including malnutrition and overweight/obesity) as well as the impact of eating habits on nutritional status of preschool children at Nam Hong commune, Dong Anh district, Hanoi. Subjects of study: children aged from 24 to 60 months old at 2 preschools of Nam Hong commune. The study is divided into 2 phases: at the phase 1: a cross sectional study was applied to 1593 children; at the phase 2: a matched case-control study was applied in order to analyze effects of eating habits to nutritional status of children (1 malnourished child / 5 normal children and 1 obese overweight child / 5 normal children, matched pairs in age, sex, class). Research results: the percentage of children with normal nutritional status is 86.8%, however, Nam Hong still suffer a double burden of nutrition when the rate of malnourished children is still high (accounting for 4.2%) and overweight/obesity children is 9.0%, in which the rate of overweight and obesity children in boys is higher than girls (10.9% compared with 6.7%, respectively). Eating characteristics affect malnutrition status of children including: loss appetite (OR=4.3), slowness in eating (OR=2.23), enjoyment of food score (OR=0.69), desire to drink score (OR=0.82). Eating characteristics affect the overweight/obesity child’s include: appetite characteristics (OR=4.24), loss appetite (OR=0.43), fast eating (OR=2.56), slowness eating (OR=0.43), eating more (OR=6.78), eating less (OR=0.31), prefer fat (OR=2.18), food responsiveness score (OR=1.59), enjoyment of food score (OR=1.8), satiety responsiveness score (OR=0.51), slowness in eating score (OR=0.05), emotional under eating score (OR=0.67), food fussioness score (OR=0.72). Keywords Double burdens, malnutrition, overweight/obesity, Nam Hong commune, Dong Anh. References [1] L.T. Huong, N.T. Linh, N.T.T. Ha, Nutritional status and cognitive development of children under 6 in urban, rural and mountainous area of the north in 2012, Journal of Food and Nutrition Sciences 10 (2014) 67-74 (in Vietnamese). http://viendinhduong.vn/research/detail?id=620&catName=cac-de-tai-va-xuat-ban-pham&lang=vi[2] N.T.T. Thu, L.T. 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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 | 0,000 | 0,000 |
| 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 | 0,000 | 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) | 0,001 | 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 ».