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Enregistrement W6926821776 · doi:10.25394/pgs.15046773

Placing a Lens on the First 1000 Days of Life: Prenatal Intake, Infant Feeding, the Microbiome and Child Growth

2021· dissertation· en· W6926821776 sur OpenAlexaboutno aff

Notice bibliographique

RevuePurdue · 2021
Typedissertation
Langueen
DomaineMedicine
ThématiqueBirth, Development, and Health
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBreastfeedingPsychomotor learningChild developmentCohortBreast milkCohort studyBreast feedingWindow of opportunityInfant developmentCognitive development

Résumé

récupéré en direct d'OpenAlex

The first 1000 days of life, from conception until the child’s second birthday, constitute a critical window for child growth and development. During infancy and early childhood, significant and rapid physical changes occur, including increases in weight, height, and brain size and organ development accompanied by cognitive and psychomotor development. Adequate infant feeding, including breastfeeding and complementary feeding, that meets the infants’ energy and nutrient requirements can help protect against growth faltering, infant and child morbidity and mortality, and delayed mental and motor development. Adequate nutrition during this critical period can also protect against adverse health outcomes and chronic diseases later in life according to the hypothesis of developmental origins of health and disease. A web of factors that are country- and culture- specific influence infant feeding practices and child growth. Further, the microbiome has been suggested as a strong potential player in the association between infant nutrition and child growth. Therefore, the overarching theme of the current dissertation is to investigate hypotheses that can provide evidence to inform the paradigm linking socio-demographic, maternal, and child determinants including prenatal intake to infant feeding, the breast milk and infant gut microbiome, and child growth within the first 1000 days of life. Specifically, aims one and two examine the socio-demographic, maternal, and child determinants of child growth and breastfeeding in a cross-sectional survey of mother-child dyads in Lebanon, a middle-income country undergoing nutrition transition in the Middle East. The third aim focuses on the CHILD cohort study, a multi-center longitudinal prospective birth cohort study, to examine the associations between prenatal diet and supplement intake and the breast milk microbiome. Finally, the fourth aim is to review the evidence for the potential of the infant gut microbiome as a promising target linking complementary feeding to child undernutrition in low- and middle- income countries (LMIC) with the highest burden of undernutrition. The results for aim one revealed sex-specific determinants of child growth in Lebanon. The determinants examined through a hierarchical conceptual framework included: maternal and paternal education among boys and crowding index among girls at the distal sociodemographic level, and maternal obesity among girls at the intermediate maternal level. The proximal child determinants included birth length, number of children in the household and breastfeeding duration among girls, birthweight among boys and child’s age among boys and girls. In the analysis for aim two, breastfeeding practices were suboptimal in Lebanon as less than half (41.5%) of the infants were exclusively breastfed during the 40-day rest period and 12.3% were exclusively breastfed during the 6-month duration recommended by the World Health Organization. Higher socioeconomic status, as reflected by a larger number of cars owned, and C-section delivery were consistently inversely associated with lower odds of exclusive breastfeeding for 40 days and 6 months. Belonging to a family with more children was associated with higher odds of exclusive breastfeeding for 40 days; while maternal overweight and obesity were associated with lower odds of exclusive breastfeeding for 6 months. Findings from aim three suggested that prenatal supplement use, but not prenatal dietary quality and patterns, modulate the breast milk microbiota composition in the CHILD cohort in Canada. This project was exploratory and utilized one of the largest birth cohort studies with available breast milk microbiome data. Specifically, use of vitamin C and D supplements plus multivitamins during any trimester in pregnancy was consistently associated with milk microbial diversity and genus composition before and after adjustment for socio-demographic, maternal, and child covariates. Use of other supplements such as fish oil, folate, and calcium was less consistently associated with the breast milk microbiome.The fourth aim of the review chapter focused on the infant gut microbiome. The effects of complementary feeding on the infant gut microbiome are less commonly studied than those of breastfeeding, with most research conducted in high-income countries but not LMIC. In contrast, associations between inadequate complementary feeding and undernutrition have been examined in LMIC where undernutrition is most prevalent. Further, a disrupted gut microbiota has been associated with child undernutrition. Indeed, animal studies have suggested a causal association although the direction of the causality is not clear and is potentially bi-directional depending on genetic and environmental conditions. In light of the current state of knowledge described in our review supporting the potential of the gut microbiota as a key player in the relation between complementary feeding and undernutrition, the development of microbiota-directed interventions during the complementary period offers a promising route for undernutrition management. Findings from the studies presented in this dissertation highlight several culture-specific determinants of child growth and breastfeeding in Lebanon. The findings also highlight the need for future research using longitudinal prospective cohorts, intervention trails and animal models to provide evidence for the proposed links to enhance the understanding of the paradigm. Such a holistic view of the determinants of and pathways between infant feeding and child growth are of great public health significance to improve the health of children throughout their lives.

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 machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,018
Score d'incertitude au seuil0,036

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0020,003
Communication savante0,0050,005
Science ouverte0,0010,002
Intégrité de la recherche0,0020,004
Charge utile insuffisante (le modèle a refusé de juger)0,0070,001

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.

Tête enseignante Opus0,014
Tête enseignante GPT0,247
Écart entre enseignants0,233 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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