Effects of prepregnancy dietary patterns on infant birth weight: a prospective cohort study

Abstract

Background Maternal nutrition can have a profound effect on fetal growth, development, and subsequent infant birth weight. However, little is known regarding the influence of prepregnancy dietary patterns. Objectives This study aimed to explore the effects between prepregnancy dietary patterns on birth weight. Methods This study included 911 singleton live-born infants from the Taicang and Wuqiang Mother–Child Cohort Study (TAWS). Baseline information and prepregnancy diet data were collected during early pregnancy. Newborn birth information was obtained from the Wuqiang County Hospital. Macrosomia, defined as a birth weight of ≥4000 g, and large for gestational age (LGA), defined as a birth weight higher than the 90th percentile for the same sex and gestational age, were the outcomes of interest. The dietary patterns were extracted using principal component analysis. Logistic regression models were used to investigate the association between prepregnancy dietary patterns (in tertiles) and macrosomia and LGA, and subgroup analysis was further explored by pre-pregnancy body mass index (BMI). Results Four dietary patterns were identified based on 15 food groups. These patterns were named as “cereals–vegetables–fruits,” “vegetables–poultry–aquatic products,” “milk–meat–eggs,” and “nuts–aquatic products–snacks.” After adjusting for sociodemographic characteristics, pregnancy complications, and other dietary patterns, greater adherence to the “cereals–vegetables–fruits” pattern before pregnancy was associated with a higher risk of macrosomia (adjusted OR = 2.220, 95% CI: 1.018, 4.843), while greater adherence to the “nuts–aquatic products–snacks” pattern was associated with a lower risk of macrosomia (adjusted OR = 0.357, 95% CI: 0.175, 0.725) compared to the lowest tertile. No significant association was observed between prepregnancy dietary patterns and LGA. However, after subgroup analysis of pre-pregnancy BMI, “cereals–vegetables–fruits” pattern was associated with an increased risk of LGA in overweight and obese mothers (adjusted OR = 2.353, 95% CI: 1.010, 5.480). Conclusions An unbalanced pre-pregnancy diet increases the risk of macrosomia and LGA, especially in overweight or obese women before pre-pregnancy.