ORIGINAL RESEARCH article
Front. Nutr.
Sec. Nutritional Epidemiology
Maternal mineral nutrition during early pregnancy and neonatal growth: findings from a China birth cohort study
Provisionally accepted- 1Northwest Women and Children's Hospital, Xi'an, China
- 2Air Force Medical University, Xi'an, China
- 3Xi'an Jiaotong University, Xi'an, China
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Objectives: Neonatal growth holds great significance for lifelong health, but the effects of maternal mineral nutrition during pregnancy on neonatal growth remain unclear. This study aimed to investigate the associations of the maternal mineral nutrition including copper (Cu), zinc (Zn), calcium (Ca), magnesium (Mg), and iron (Fe) during early pregnancy with neonatal growth. Methods: A prospective cohort study was conducted in Xi'an, China, with a total of 5,629 mother-infant dyads. The study examined the non-linear relationship and threshold effects between minerals and neonatal growth using smoothed plots and two-piecewise regression models. Results: Every one-unit elevation in log-transformed Ca concentration was associated with a 97% (RR: 0.03, 95% CI: 0.01–0.80) lower risk of small-for-gestational-age (SGA). Maternal Fe concentration was associated with birth length of male infants in an inverted U-shaped curve. When Fe concentration was less than 7.24 mmol/L, a one-unit elevation in log-transformed Fe concentration was associated with a 3.23-cm higher birth length (95% CI: 0.13–6.32) in male infants. However, this relationship was not found in female infants. This is a provisional file, not the final typeset article Conclusions: Adequate maternal Ca and Fe in early pregnancy may benefit newborn growth and development, but the gender differences should also be considered. Vigilant monitoring and prompt remediation of maternal mineral deficiencies during early pregnancy are essential for optimizing neonatal health outcomes.
Keywords: birth length, Calcium, cohort study, Iron, Maternal mineral nutrition, Non-linearrelationship, SGA
Received: 27 Oct 2025; Accepted: 04 Feb 2026.
Copyright: © 2026 Zhao, Song, Li, Li, Zhang, Li, Wang, Mi, Shang and Qu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Pengfei Qu
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