Association between maternal dietary diversity during pregnancy and birth outcomes: evidence from a systematic review and meta-analysis
Notice bibliographique
Résumé
Maternal nutrition is a key factor influencing birth and offspring health outcomes in later life. Dietary diversity (DD) is a proxy for the macro/micronutrient adequacy of an individual’s diet. There is inadequate comprehensive evidence regarding maternal nutrition during pregnancy, measured through DD and birth outcomes. This study aimed to provide extensive evidence on maternal DD during pregnancy and birth outcomes. A comprehensive search was performed using PubMed, HINARI, and Google Scholar databases up to January 17, 2024. Studies conducted among pregnant mothers and measuring maternal DD with an evaluation of birth outcomes (low birth weight, small for gestational age, preterm birth), in the global context without design restriction were included. The Newcastle Ottawa Scale and the Cochrane Risk of Bias tool were used to assess the risk of bias. The results are summarized in a table, and odds ratios were pooled where possible. Between-study heterogeneity was evaluated using I2 statistics. Potential publication bias was assessed using a funnel plot and Egger’s regression test. To explore the robustness, a leave-one-out sensitivity analysis was conducted. Thirty-three studies were used to synthesize narrative evidence (low birth weight: 31, preterm birth: 9, and small for gestational age: 4). In contrast, 24 records for low birth weight, eight for preterm birth, and four for small for gestational age were used to pool the results quantitatively. Of the 31 studies, 17 reported a positive association between maternal DD and infant birth weight, 13 studies reported a neutral association (not statistically significant), and one study reported a negative association. Overall, inadequate DD increased the risk of low birth weight OR = 1.71, 95% CI; (1.24–2.18), with I2 of 68.7%. No significant association was observed between maternal DD and preterm birth. Inadequate DD was significantly associated with small for gestational age (OR = 1.32, 95% CI; 1.15–1.49, and I2 = 0.0%). Inadequate maternal DD is associated with an increased risk of low birth weight and small for gestational age but not preterm birth, underscoring the importance of promoting adequate DD during pregnancy. To address these issues, it is essential to implement and expand nutritional programs targeted at pregnant women, especially in low-resource settings, to ensure they receive diverse and adequate diets. Further research is needed to address the current limitations and to explore the long-term implications of maternal nutrition on child health. The study was prospectively registered on PROSPERO (registration number CRD42024513197). No funding was received for this study.
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 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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,006 | 0,002 |
| Bibliométrie | 0,000 | 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 ».