Micronutrient interactions: Magnesium and its synergies in maternal–fetal health.
Saved in:
| Title: | Micronutrient interactions: Magnesium and its synergies in maternal–fetal health. |
|---|---|
| Authors: | Shukla, Vani1 (AUTHOR), Parvez, Sidrah2 (AUTHOR), Fatima, Ghizal2 (AUTHOR), Singh, Shikha1 (AUTHOR), Magomedova, Aminat3 (AUTHOR), Batiha, Gaber El‐Saber4 (AUTHOR), Alexiou, Athanasios5,6,7,8 (AUTHOR), Papadakis, Marios9 (AUTHOR) drmariospapadakis@gmail.com, Welson, Nermeen N.10 (AUTHOR), Hadi, Najah11 (AUTHOR) |
| Source: | Food Science & Nutrition. Oct2024, Vol. 12 Issue 10, p6913-6928. 16p. |
| Subject Terms: | Low birth weight, Water-electrolyte balance (Physiology), Regulation of blood pressure, Bone growth, Prenatal care |
| Abstract: | Magnesium is an essential nutrient for various physiological processes and becomes even more vital during pregnancy, contributing to muscle relaxation, bone development, electrolyte balance, and blood pressure regulation. Despite the fact that the dietary sources of magnesium are diversified, it is still challenging to obtain it in sufficient quantities during pregnancy. We have elucidated its interactions and its specific impact on maternal–fetal health in different research publications. Magnesium also interacts synergistically with other micronutrients like calcium, vitamin D, potassium, zinc, iron, and vitamin B6, emphasizing its significance in promoting optimal outcomes for both the mother and the fetus. Inadequate magnesium intake during pregnancy has been linked to complications like gestational diabetes, preeclampsia, preterm birth, and low birth weight. Therefore, there should be an emphasis on the importance of maintaining adequate magnesium levels through a balanced diet and supplementation. This research therefore studies the complex mechanisms of micronutrient interactions and their specific impacts on maternal–fetal health to enhance prenatal care practices. [ABSTRACT FROM AUTHOR] |
| Copyright of Food Science & Nutrition is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | GreenFILE |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
