Maternal Body Mass Index and Breastmilk Energy, Fat, and Protein Content: A Systematic Review and Regression Analysis of Simulated Data (OR30-06-19)
Notice bibliographique
Résumé
Given increased incidence of maternal postpartum obesity and limited understanding of the degree to which maternal body composition is related to energy and macronutrient content of breastmilk, we conducted a systematic review to assess the associations between maternal body mass index (BMI) and breastmilk energy, fat, and/or total protein content. A protocol was registered prior to the completion of this systematic review (PROSPERO 2018 CRD42018098808). The electronic databases MEDLINE, Embase, CINAHL, and Web of Science were searched. The three outcomes of interest were breastmilk energy (kcal/dL), fat (g/dL), and total protein (g/dL) from mothers of term-born infants. Articles that reported maternal BMI or weight and height, collected breastmilk, and measured energy, fat, or protein concentration in breastmilk one to six months postpartum were eligible. If breastmilk was collected at multiple timepoints, the measures closest to three months postpartum were used. A simulated dataset was generated in Stata 14 based on respective sample sizes and means and variance of maternal BMI and breastmilk energy, fat, and protein content of the included studies, assuming normality of each of these variables based on the literature. Linear regressions were performed to examine associations between maternal BMI (kg/m2) and breastmilk energy and individual macronutrients. A total of 2,012 articles were identified from the search and reference lists of included studies. After full-text screening by two reviewers, 39 articles were included with breastmilk samples from 2,837 mothers. Based on the simulated data, maternal BMI was not significantly associated with breastmilk energy concentration (β = −0.0044, 95% CI [−0.14, 0.14], P > 0.9). However, BMI was positively associated with breastmilk fat concentration (β = 0.015, 95% CI [0.0022, 0.027] P = 0.02) and was negatively associated with total protein concentration (β = −0.0068, 95% CI [−0.011, −0.0027], P = 0.001). Thus, every 1 kg/m2 increase in BMI is associated with a 0.0022 g/dL increase in fat and a 0.011 g/dL decrease in total protein concentration. Statistically significant associations were found between maternal BMI and breastmilk fat and protein content. However, the effect size was small suggesting that these differences may not be clinically meaningful. N/A.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| 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) | 0,000 | 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 tête enseignante, 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 ».