Maternal Dietary Diversity and Birth Weight in Offspring: Evidence from a Chinese Population-Based Study

Int J Environ Res Public Health. 2023 Feb 12;20(4):3228. doi: 10.3390/ijerph20043228.

Abstract

Studies on the association between maternal dietary diversity and birth weight in offspring are limited, and the impact of such an adjustable factor on birth weight requires investigation to promote neonatal health. This study used data from a larger-scale population-based survey conducted in northwest China to evaluate the association of maternal dietary diversity with neonatal birth weight with a generalized estimating equation model. The results found that maternal dietary diversity was positively associated with neonate birth weight. Furthermore, a higher minimum dietary diversity for women (MDD-W) score during pregnancy was related to a lower risk of low birth weight (LBW) in offspring. The mothers with the highest MDD-W score had a 38% (OR = 0.62, 95% CI: 0.43-0.89) lower risk of LBW than those with the lowest score. Similarly, the mothers with the highest animal-based food dietary diversity score (DDS) had 39% (OR = 0.61, 95% CI: 0.38-0.98) lower risk of LBW in offspring compared with those with the lowest animal-based food DDS. Moreover, the ratio of animal-based food DDS to non-animal-based food DDS could play an important role in predicting neonate birth weight. In conclusion, increasing maternal dietary diversity would improve birth weight in offspring, especially by increasing the intake of animal-based foods among the Chinese population.

Keywords: birth weight; dietary diversity; health; newborn; pregnancy; score.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Birth Weight
  • Diet*
  • East Asian People*
  • Female
  • Humans
  • Infant, Low Birth Weight
  • Infant, Newborn
  • Maternal Nutritional Physiological Phenomena*
  • Mothers
  • Pregnancy

Grants and funding

This research was supported by the Natural Science Basic Research Program of Shaanxi Province (2021JM-034) and the National Research and Development Program (2017YFC0907200, 2017YFC0907201).