SynthesisThe Lancet. Global health2025
The effects of prenatal multiple micronutrient supplementation and small-quantity lipid-based nutrient supplementation on small vulnerable newborn types in low-income and middle-income countries: a meta-analysis of individual participant data.
Synthesis in The Lancet. Global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Pooled it
- Effects of vitamin and multiple micronutrient supplementation for pregnant and/or lactating women on maternal and infant nutritional status in low- and middle-income countries: a systematic review and meta-analysis.Advances in nutrition (Bethesda, Md.) · 2025Pooled it
- Pooled it
- Effect of prenatal multiple micronutrient supplementation compared with iron and folic acid supplementation on size at birth and subsequent growth through 24 mo of age: a systematic review and meta-analysis.The American journal of clinical nutrition · 2025Pooled it
- Associations of antenatal micronutrient supplementation with adolescent blood pressure: evidence from a 14-year follow-up study of a randomized controlled trial.BMC public health · 2025Trial
- Antenatal interventions to support newborn survival: updates for the Lives Saved Tool.Journal of global health · 2026Review
- Impact of Prenatal Nutrition Interventions on Infant Longitudinal Growth: A Secondary Analysis of the Mumta Pregnant Women Trial in Pakistan.Mayo Clinic proceedings. Innovations, quality & outcomes · 2026Article
- Costs and benefits of replacing preventive antenatal iron and folic acid with multiple micronutrients in 25 low- and middle-income countries.BMJ global health · 2026Article
- Acceptability, Adherence, and Provision Through Antenatal Care: Evidence on Multiple Micronutrient Supplementation in Pakistan and Nigeria.Nutrients · 2026Article
- Dietary Supplements in Pregnancy and Postpartum: Evidence, Safety Challenges and a Precision Nutrition Framework (GAPSS).Antioxidants (Basel, Switzerland) · 2026Review
- Micronutrient Biomarker Selection and Assay Methods and Performance in Double-Blind, Randomized, Controlled Micronutrient Dose Response (MiNDR) Trials among Women of Reproductive Age and Pregnant Women in Rural Bangladesh.Current developments in nutrition · 2025Article
- Micronutrients in Obstetrics and Gynecology: Mini-Review Article.Journal of obstetrics and gynaecology of India · 2025Review
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Authors and funding
9 authors.
Funding
Abstract
backgroundSmall vulnerable newborn types, defined by combinations of being born too soon or too small, have distinct determinants and health consequences. We aimed to assess the effects of prenatal multiple micronutrient supplementation (MMS) and small-quantity lipid-based nutrient supplementation (SQ-LNS) on small vulnerable newborn types, which are currently unknown.
methodsIn this meta-analysis, individual participant data from randomised controlled trials of MMS and randomised controlled trials of SQ-LNS in low-income and middle-income countries were used. We systematically searched the literature using PubMed, Embase, and Web of Science to identify randomised controlled trials of prenatal nutritional supplementation using MMS or SQ-LNS among pregnant people published between Jan 1, 2000, and Dec 31, 2021. Studies were excluded if they were conducted exclusively among participants selected by pre-existing health conditions, such as anaemia status, HIV infection, or diabetes. We contacted the corresponding authors of all identified studies to seek data contribution. As individual participant data became available, we mapped relevant variables and harmonised the data across studies. Iron and folic acid supplementation was the control group in most studies. Newborns were classified into ten groups through the combinations of preterm or term birth, small, appropriate, and large for gestational age, and low birthweight (LBW) or non-LBW. Newborns were also analysed using a four-group categorisation of preterm or term and LBW or non-LBW. Log-binomial models were used to estimate study-specific risk ratios (RRs), which were pooled using meta-analyses.
findings14 randomised controlled trials of MMS (n=42 618; the mean maternal age at study enrolment was 24·3 years [SD 5.6]; 22 086 [51·8%] male neonates and 20 532 [48·2%] female neonates) and four randomised controlled trials of SQ-LNS (n=6246; the mean maternal age at study enrolment was 23·3 years [SD 5·3]; 3137 [50·2%] male neonates and 3109 [49·8%] female neonates) were used. In the ten-group categorisation of small vulnerable newborns, prenatal MMS reduced the risk of preterm-small for gestational age (SGA)-LBW (RR 0·73, 95% CI 0·64-0·84; p=0·0003); preterm-appropriate for gestational age (AGA)-LBW (0·82, 0·74-0·91; p=0·0010); preterm-AGA-non-LBW (0·89, 0·80-0·98; p=0·019); term-SGA-LBW (0·91, 0·85-0·96; p=0·0046); and term-SGA-non-LBW (0·95, 0·90-1·00; p=0·050). In the four-group categorisation, prenatal MMS reduced the risk of preterm-SGA (0·71, 0·62-0·82; p=0·0002) and term-SGA (0·93, 0·89-0·98; p=0·0066). Prenatal SQ-LNS had no significant effects on the risk of giving birth to small vulnerable newborns except for preterm-large for gestational age-non-LBW in the ten-group categorisation (0·78, 0·65-0·94; p=0·023).
interpretationPrenatal MMS and SQ-LNS reduce the risk of giving birth to small vulnerable newborns to varying extents, with the greatest magnitude of effects observed for small vulnerable newborn types that confer the greatest neonatal mortality risk. This study underscores the importance of nutritional supplements in prenatal care.
fundingBill & Melinda Gates Foundation.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.