The present review comes from five previous studies of a multicenter cohort of nulliparous pregnant women from different regions of Brazil. The first study showed a wide difference in consumption of industrialized foods among women from the south and southeast regions compared with northeastern women who chose to eat a healthier diet with fresh natural food. The second investigation intended to understand maternal eating habits, where five dietary patterns were identified: two considered healthy and three with excess protein, ultra-processed foods, fats, and sweets. Considering some barriers to classifying nutrition status during prenatal care, when data on pre-pregnancy weight is unknown, the third study developed a tool to identify three levels of risk for each gestational age range, assessed by measuring arm circumference. Applying those new tools, the associations between maternal nutrition and pregnancy outcomes were investigated: prematurity, pre-eclampsia, gestational diabetes mellitus, and small-for-gestational-age infants. From these analyses, a predictive model was developed indicating that obesity, non-white color, and dietary pattern with excess protein consumption were associated with a greater probability of adverse pregnancy outcomes. Moreover, the potential of the intergenerational influence of head circumference as a proxy for maternal nutrition was analyzed. Using a Path Analysis method, the model was evidenced by different socioeconomic variables. Finally, understanding the complexity of the nutritional assessment, the present conceptual framework was proposed for nutritional assessment, and tracking and monitoring of pregnant women.
Keywords: antenatal care; dietary habits; nutrition assessments; nutrition status; pregnancy.
© 2022 International Federation of Gynecology and Obstetrics.