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Enregistrement W6940644742 · doi:10.7939/r3-2w9y-c967

Maternal Iron and Vitamin D Status During and After Pregnancy and Their Relationships With Maternal and Child Health Outcomes: Evidence From the APrON Cohort Study

2023· dissertation· en· W6940644742 sur OpenAlexaboutno aff

Notice bibliographique

RevueUniversity of Alberta Library · 2023
Typedissertation
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueMycorrhizal Fungi and Plant Interactions
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPregnancyVitamin D and neurologyProspective cohort studyFerritinCohort studyIron deficiencyOffspringCohortvitamin D deficiency

Résumé

récupéré en direct d'OpenAlex

Background: Investigations that assess how maternal iron or vitamin D status biomarkers change across pregnancy and postpartum, and their relationships with maternal and offspring outcomes, in cohorts of healthy pregnant individuals from high-income countries are limited. Recent reports suggest that the prevalence of iron or vitamin D insufficiencies among pregnant people are underestimated. Further, evidence supporting associations between maternal iron and vitamin D status and prospective maternal and child health outcomes is mixed, and the possible combined impact of both micronutrients is poorly described. Objectives: The first objective was to determine how maternal concentrations of iron and vitamin D biomarkers changed across pregnancy into postpartum and to assess the combined maternal status of iron and vitamin D during the 2nd trimester (mid-pregnancy). Relationships between maternal iron biomarkers and birth weights (BWs) and birth head circumferences (BHCs) were examined. Lastly, relationships between maternal iron and vitamin D biomarkers and maternal depression symptoms along with internalizing and externalizing behaviours in children at age 5 were determined. Methods: The Alberta Pregnancy Outcomes and Nutrition (APrON) prospective cohort study recruited 2,189 generally healthy pregnant individuals from Calgary and Edmonton, Alberta. Maternal blood was drawn at each trimester of pregnancy and at 3 months postpartum, and maternal hemoglobin (Hb) concentrations were immediately quantified. Concentrations of maternal serum ferritin (SF) were measured using chemiluminescent microparticle immunoassays, and erythropoietin (EPO), hepcidin and soluble transferrin receptor (sTfR) using enzyme-linked immunosorbent assays. Maternal 25-hydroxyvitamin D3 (25(OH)D3) and 3-epi-25-hydroxyvitamin D3 (3-epi-25(OH)D3) concentrations were quantified by liquid chromatography with tandem mass spectroscopy. Ratios of sTfR:SF and hepcidin:EPO were calculated, and four categories of maternal iron and vitamin D status conceptualized. Neonatal BWs (n=2,022) and BHCs (n=1,873) were obtained. Maternal Edinburgh Postnatal Depression Scale (EPDS) scores, collected during the 3rd trimester (n=1,920) and at 3 months postpartum (n=1,822), and the Behavior Assessment System for Children 2nd Edition internalizing and externalizing T-scores from children at age 5 (n=662) were also assessed. Child outcome models were stratified by offspring sex. Directed acyclic graphs and change-in-estimate rules determined multivariate linear regression model adjustment. Results: Concentrations of maternal Hb, hepcidin and SF decreased, and sTfR and sTfR:SF increased as pregnancy progressed, with Hb and SF rebounding by 3 months postpartum (all p<0.001). Maternal 25(OH)D3 and 3-epi-5(OH)D3 concentrations decreased between the 2nd trimester and 3 months postpartum (p<0.01). In 627 pregnant participants with 2nd trimester SF and 25-hydroxyvitamin D data, 63% were replete in both micronutrients, 15% were iron replete but low in vitamin D, 18% were vitamin D replete but low in iron and 4% were low in both. Higher maternal 3rd trimester SF and hepcidin:EPO concentrations were linearly associated with lower BWs in male (SF: p<0.01; hepcidin:EPO: p=0.03) and female newborns (SF: p=0.02; hepcidin:EPO: p=0.02). There were inverse associations between BWs and 3rd trimester maternal hepcidin (p=0.03) and Hb (p<0.01), and BHCs and maternal 2nd trimester SF (p<0.05) and 3rd trimester Hb (p=0.02), but only in the male models. Higher 2nd trimester maternal SF (p<0.05), hepcidin (p<0.01) and 25(OH)D3 (p<0.01) concentrations predicted lower 3rd trimester maternal EPDS scores. Pregnant individuals that were vitamin D replete but low in iron (p=0.04) or low in iron and vitamin D (p=0.02) during mid-pregnancy had higher 3rd trimester EPDS scores compared to those that were replete in both micronutrients. An inverse association between 3rd trimester maternal sTfR:SF and externalizing T-scores was observed in female children (p=0.04), whereas in male children a negative relationship was observed between maternal 3-epi-25(OH)D3 concentrations at 3 months postpartum and externalizing T-scores (p=0.02). Child externalizing T-scores differed depending on the combined maternal iron and vitamin D status during mid-pregnancy (all p<0.04). Conclusions: Iron and vitamin D biomarker concentrations were dynamic across gestation and into the postpartum period in generally healthy pregnant individuals. Maternal SF concentrations were inversely related to BWs, BHCs, prenatal maternal depression symptoms and child externalizing behaviours at age 5, but these associations may be time and offspring sex dependent. Negative relationships were also observed between maternal vitamin D biomarkers and maternal prenatal depression symptoms as well as child externalizing behaviours at age 5. The potential impact of concurrent micronutrient deficiencies on maternal and offspring health outcomes should be explored in future research.

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)0,005
score de la tête « metaresearch » (Gemma)0,006
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: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,323
Score d'incertitude au seuil0,643

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,006
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,003
Études des sciences et des technologies0,0010,001
Communication savante0,0010,000
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
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 Opus0,009
Tête enseignante GPT0,183
Écart entre enseignants0,174 · 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
Publié2023
Routes d'admission1
Résumé présentoui

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