The effect of prenatal balanced energy and protein supplementation on small vulnerable newborn types in low- and middle-income countries: A systematic review and meta-analysis of individual participant data

Dongqing Wang, Uttara Partap, Enju Liu, Janaína Calu Costa, Ilana R Cliffer, Molin Wang, Sudeer Kumar Nookala, Vishak Subramoney, Brittany Briggs, Imran Ahmed, Alemayehu Argaw, Shabina Ariff, Nita Bhandari, Ranadip Chowdhury, Trenton Dailey-Chwalibóg, Giles T Hanley-Cook, Lieven Huybregts, Fyezah Jehan, Nancy F Krebs, Carl Lachat, Dharma S Manandhar, Elizabeth M McClure, Sophie E Moore, Ameer Muhammad, Muhammad Imran Nisar, Andrew M Prentice, Dominique Roberfroid, Naomi M Saville, Yasir Shafiq, Bhim P Shrestha, Bakary Sonko, Sajid Soofi, Sunita Taneja, Laéticia Céline Toe and Wafaie W Fawzi

PLOS Medicine, 2026, vol. 23, issue 2, 1-18

Abstract: Background: Small vulnerable newborn (SVN) types, defined by combinations of being born too soon or too small, have distinct determinants, health consequences, and prevention strategies. The effects of prenatal balanced energy and protein (BEP) supplementation on SVN types remain unknown. Methods and findings: We conducted a systematic review and meta-analysis of individual participant data from eight randomized controlled trials of prenatal BEP supplements (N = 10,252, with 5,164 in the BEP arm and 5,088 in the control arm) in low- and middle-income countries were used. The control arms varied across studies and included context-specific standards of care, iron and folic acid supplements, or multiple micronutrient supplements. Newborns were classified into 10 groups through the combinations of preterm birth, small for gestational age (SGA) birth, and low birthweight (LBW), such as term-appropriate-for-gestational-age (AGA)-nonLBW, preterm-SGA-LBW, preterm-large-for-gestational-age-LBW, term-SGA-LBW, preterm-AGA-nonLBW, and other permutations. Newborns were also analyzed using a four-group categorization that included term-nonSGA, preterm-nonSGA, term-SGA, and preterm-SGA. Log-binomial models were used to estimate study-specific risk ratios (RRs), which were pooled using meta-analyses. Subgroup analyses were conducted by maternal age, parity, gestational age at enrollment, early pregnancy body mass index, and maternal anemia status. In the 10-group categorization of SVNs, on average, prenatal BEP supplementation led to a 30% lower risk of preterm-SGA-LBW (RR: 0.70; 95% CI [0.53, 0.91]; P = 0.009), a 25% lower risk of preterm-AGA-LBW (RR: 0.75; 95% CI [0.60, 0.93]; P = 0.009), and a 20% lower risk of term-SGA-LBW (RR: 0.80; 95% CI [0.72, 0.90]; P

Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pmed00:1004716

DOI: 10.1371/journal.pmed.1004716

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