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Enregistrement W2966864293 · doi:10.1097/j.pbj.0000000000000047

Industrialized foods in early infancy: a growing need of nutritional research

2019· article· en· W2966864293 sur OpenAlexaboutno aff
Célia Araújo, Karla Danielly da Silva Ribeiro, Patrícia Padrão, Pedro Moreira

Notice bibliographique

RevuePorto Biomedical Journal · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueConsumer Attitudes and Food Labeling
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEnvironmental healthMedicineConsumption (sociology)PopulationRed meatAdded sugarDeveloped countryNutrition transitionFood scienceObesityBiology

Résumé

récupéré en direct d'OpenAlex

A systematic analysis for the global burden of disease study assessing data from 195 countries, identified high intake of sodium, and low intake of whole grains, fruit, vegetables, nuts, and seeds as the main dietary risks factors for deaths and disability-adjusted life-years.1 In this global overview, consumption of nearly all healthy foods such as fruit, vegetables, and legumes, was suboptimal, whereas the consumption of sugar-sweetened beverages was far higher than the optimal intake. High consumption of red meat, processed meat, and trans-fat were also toward the bottom when ranking the dietary risks for deaths and disability-adjusted life-years for most high-population countries.1 These findings require an urgent need to implement healthy eating patterns2 as soon as possible during the early windows of opportunity for preventing noncommunicable diseases (NCDs) such as the complementary feeding period and the early infancy.3 During these life stages, commercially produced infant foods may be particularly used, and many of them are also industrialized. At the present time, there is a complex and controversial debate about the role of food processing as the primary driver of diet quality.4 In general, food processing implies changing raw commodities into ingredients or food substances, after some changes that may be physical, chemical, or microbiological, for example, and the main goals of these transformations may include expanding shelf life, increasing nutritional quality, attending special nutritional requirements, or adding variety and convenience.5 Although many industrialized healthful foods are minimal processed, such as fruits, vegetables, nuts, legumes, or eggs, the specific category of ultraprocessed foods has been studied in relation to diet adequacy and to risk factors for NCDs. Monteiro et al4,6–8 proposed that the main shaping force of the global food system and the main determinant of poor diets and their related influences on obesity and diet related NCDs was “food processing.” The definitions of ultra-processed foods have been changing and showed variability particularly in the last 10 years.4 More recently, Monteiro et al9,10 defined ultraprocessed foods in NOVA classification as industrial formulations of several ingredients which, besides salt, sugar, oils and fats, include food substances not commonly used in culinary preparations, such as hydrolysed protein, modified starches, and hydrogenated or interesterified oils, or additives whose purpose is to imitate sensorial qualities of unprocessed or minimally processed foods and their culinary preparations or to disguise undesirable qualities of the final product, such as colorants, flavorings, nonsugar sweeteners, emulsifiers, humectants, sequestrants, and firming, bulking, defoaming, anticaking, and glazing agents. The contribution of ultraprocessed foods to energy intake of populations in the higher quintiles of intake may vary from 49% in Brazil, to 76% in Canada, 78% in the UK, and 81% in the USA; in Mediterranean countries highly processed foods may contribute with 70% of the energy, and 50% to 90% of the nutrients intake in Nordic/Central Europe (with the exceptions of vitamin C and beta-carotene).4 However, the contribution of processed and ultraprocessed foods in children is also referred as a factor that may decrease the quality of diet in children considering that many foods exhibit unhealthy nutrient profiles, with higher amounts of sugar, trans fat, and sodium, compared with unprocessed or minimally processed foods; furthermore, after adjustment for energy intake, they may provide lower amounts of zinc, calcium, and vitamins A, B12, C, and E.11 In infants and young children from Canada, 63% of the food products sold in Canada were reported as having high levels of sodium or sugar contribution to energy content,12 and in Brazil, the analysis of 2945 processed foods that are usually consumed as snacks by children showed that 21% presented high levels of sodium.13 Maalouf et al14 assessed the sodium, sugar, and fat content of complementary infant and toddler foods sold in USA, and most commercial toddler meals, cereal bars and breakfast pastries, and infant-toddler snacks and desserts have high sodium contents or contain added sugars, suggesting a need for continued public health efforts to support families implementing healthy eating strategies. The described nutritional characteristics of these products are particularly important considering that (1) nutritional guidelines recommend to limit the intake of added sugars,15 particularly before 2 years of age,16 sodium,17 and saturated and trans-fat and (2) habitual diets of children aged 1 to 3 years across different parts of the world may exceed sodium18 or the energy contribution from sugar and saturated fat.19–22 Bearing in mind this global health and dietary intake scenarios, it is important to assess across different nations, including those facing a nutrition transition and developed countries, information on the nutritional profiles, and food processing characteristics of industrialized foods and beverages that are specifically labeled for infants, toddlers, and children younger than 3 years, and to help parents and health professionals with the right information in choosing complementary and baby foods in this biological window of opportunity to prevent NCDs. Furthermore, data collection on industrialized baby foods will be useful to monitor nutritional composition, to assess the eventual need of product nutritional reformulation or other measures of quality control, such as consumer-friendly labeling or nutrient profiling tools, and to evaluate the impact of any future strategies aiming to improve industrialized foods for children.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,083
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,073
Tête enseignante GPT0,381
Écart entre enseignants0,307 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations10
Publié2019
Routes d'admission1
Résumé présentoui

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