A sensory perspective on the development of food likes in children: implication for food intake
Notice bibliographique
Résumé
All aspects of eating habits (i.e. ‘how', ‘what', ‘when', and ‘how much' to eat) are learned, essentially during the first years of life (1). Moreover eating habits established in the early years will contribute to the development of subsequent eating habits (2-4). At this stage, nutrition is still critical for child development, so parental choices bear a key importance for future health. It therefore appears essential to understand the most important periods for the acquisition of healthy eating habits, as well as the most important factors driving eating habits. Since eating behaviour is complex and multi-determined, these factors may be multiple. Because in our sophisticated, superabundant food environment, a wide range of foods are available, it is particularly relevant to understand how the properties of foods may impact how they are liked and consumed by children. In this presentation, we will specifically focus on two sensory aspects of foods that may impact how they are liked and consumed, taste and flavour. Learning before complementary feedingEarly events may contribute to shape eating behaviour (5). Flavour learning may happen during pregnancy and lactation (6), through the exposure of the infant to flavours of the foods from the mother's diet (7). Taste exposure during milk feeding may also lead to different preferences in children. For instance, longer breastfeeding is associated with a higher acceptance of the umami taste (taste of glutamate) at the age of 6 months (8); which is interpreted in relation with the higher glutamate content of breast milk compared to formula milk. Learning after the onset of complementary feedingBeyond this stage of flavour discoveries, the most important phase for learning to eat is likely to be the transition from milk feeding to a diversified diet, i.e. the beginning of complementary feeding. At this moment, infants start to discover the sensory (texture, taste and flavour) and nutritional properties (energy density) of the foods that will ultimately compose their adult diet. This presentation will highlight some factors that favour the development of food acceptance at the beginning of complementary feeding. In particular, the influence of complementary feeding practices such as repeated exposure (9, 10), introducing a variety of foods (11), and of food sensory properties (12, 13) on the acceptance of new foods by infants will be outlined (14). Implication for food intakeIf the sensory properties can influence how a food is acceptance at the onset of complementary feeding, one may wonder whether it may also determine how much a food is eaten. In toddlers, adding sugar or fat to a food does not lead to an increase in the amount eaten in an ad libitum situation (15). However, adding salt is associated to a higher intake, in toddlers (15) and in school children (16). Optimal food formulation should be thought about in order to trigger pleasure during consumption; without threatening children's health. There is a need for further studies toward a better understanding of how children learn to like foods and how much to eat of them (17). References1. Schwartz C, Scholtens P, Lalanne A, Weenen H, Nicklaus S. Development of healthy eating habits early in life: review of recent evidence and selected guidelines. Appetite. 2011;57(3):796-807.2. Nicklaus S, Boggio V, Chabanet C, Issanchou S. A prospective study of food preferences in childhood. Food Quality and Preference. 2004 2004/0;15(7-8):805-18.3. Nicklaus S, Boggio V, Chabanet C, Issanchou S. A prospective study of food variety seeking in childhood, adolescence and early adult life. Appetite. 2005;44(3):289-97.4. Nicklaus S, Remy E. Early origins of overeating: Tracking between early food habits and later eating patterns. Current Obesity Reports. 2013 2013/03/07;2(2):179-84.5. Migraine A, Nicklaus S, Parnet P, Lange C, Monnery-Patris S, Des Robert C, et al. Effect of preterm birth and birth weight on eating behavior at 2 y of age. American Journal of Clinical Nutrition. 2013 June 2013;97(6):1270-7.6. Mennella JA, Jagnow CP, Beauchamp GK. Prenatal and postnatal flavor learning by human infants. Pediatrics. 2001;107(6):e88.7. Hausner H, Nicklaus S, Issanchou S, Mølgaard C, Møller P. Breastfeeding facilitates acceptance of a novel dietary flavour compound. Clinical nutrition. 2010;29(1):141-8.8. Schwartz C, Chabanet C, Laval C, Issanchou S, Nicklaus S. Breastfeeding duration: influence on taste acceptance over the first year of life. British Journal of Nutrition. 2013;109(6):1154-61.9. Remy E, Issanchou S, Chabanet C, Nicklaus S. Repeated exposure of infants at complementary feeding to a vegetable puree increases acceptance as effectively as flavor-flavor learning and more effectively than flavor-nutrient learning. Journal of Nutrition. 2013 May 22;143(7):1194-200.10. Caton SJ, Blundell P, Ahern SM, Nekitsing C, Olsen A, Møller P, et al. Learning to eat vegetables in early life: the role of timing, age and individual eating traits. PloS one. 2014;9(5):e97609.11. Mennella JA, Nicklaus S, Jagolino AL, Yourshaw LM. Variety is the spice of life: Strategies for promoting fruit and vegetable acceptance during infancy. Physiology
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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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 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 ».