effects of maternal prenatal multi-micronutrient supplementation on growth and development until 3 years of age

effects of maternal prenatal multi-micronutrient supplementation on growth and development until 3 years of age

;Gang Cheng;Tingting Sha;Xiao Gao;Xialing Wu;Qianling Tian;Fan Yang;Yan Yan
archives of biochemistry and biophysics 2019 Vol. 16 pp. 2744-
233
cheng2019internationaleffects

Abstract

At present, there is insufficient evidence on whether prenatal multi-micronutrient (MM) supplementation can be an antenatal nutritional intervention or not. This study aimed to explore the sustained effect of prenatal MM supplementation on early childhood health. A total of 939 mother−offspring pairs were followed up in the study between 2015 to 2018 in Changsha, China. Information was mainly collected through household surveys at the ages of 1, 3, 6, 8, 12, 18, 24, and 36 months. General linear models and generalized estimating equation models were used to estimate the effects of maternal prenatal MM compared with IFA supplementation on infant growth and development. Offspring of women who used prenatal MM compared with IFA supplements had lower weight-for-age z score (WAZ) (adjusted β: −0.23, 95% CI: (−0.40, −0.06)) and weight-for-length z score (WLZ) (adjusted β: −0.20, 95% CI: (−0.37, −0.02)) at 3 months old, but a reduced risk of obesity at birth (aRR: 0.30, 95% CI: 0.11−0.78) and being overweight at 3 months old (aRR: 0.52, 95% CI: 0.32−0.84). Moreover, offspring of women who used prenatal MM compared with IFA supplements had significantly higher scores for communication (adjusted β: 0.41, 95% CI: 0.61−0.21), gross motor (adjusted β: 0.68, 95% CI: 0.49−0.88), fine motor (adjusted β: 1.64, 95% CI: 1.45−1.84), problem solving (adjusted β: 0.29, 95% CI: 0.10−0.49), and personal−social (adjusted β: 0.90, 95% CI: 0.70−1.10) skills at 36 months old. Prenatal MM supplementation could result in better infant growth in the first few months of life and improve development scores at the age of 3 years compared with IFA supplementation.

Citation

ID: 165237
Ref Key: cheng2019internationaleffects
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
165237
Unique Identifier:
10.3390/ijerph16152744
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet