Abstract

Assessment of human nutrition is a complex process, in pregnant women identify dietary patterns through mean nutrient consumption can be an opportunity to better educate women on how to improve their overall health through better eating. This exploratory study aimed to identify a posteriori dietary patterns in a cohort of nulliparous pregnant women. The principal component analysis (PCA) technique was performed, with Varimax orthogonal rotation of data extracted from the 24-h dietary recall, applied at 20 weeks of gestation. We analysed 1.145 dietary recalls, identifying five main components that explained 81% of the dietary pattern of the sample. Dietary patterns found were: Obesogenic, represented by ultra-processed foods, processed foods, and food groups rich in carbohydrates, fats and sugars; Traditional, most influenced by natural, minimally processed foods, groups of animal proteins and beans; Intermediate was similar to the obesogenic, although there were lower loads; Vegetarian, which was the only good representation of fruits, vegetables and dairy products; and Protein, which best represented the groups of proteins (animal and vegetable). The obesogenic and intermediate patterns represented over 37% of the variation in food consumption highlighting the opportunity to improve maternal health especially for women at first mothering.

Highlights

  • Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, Kings College London, London, Scientific Reports | (2021) 11:15554

  • This study aimed to identify dietary patterns of Brazilian nulliparous pregnant women at mid-gestation, addressing the original food groups, and identify which food combinations best represents the characteristic of the choices for food consumption in this population

  • In the 1.145 women that responded to the food recall (Fig. 1), the highest proportion of adequate Body Mass Index (BMI) category was found in 40%, followed by overweight in 26% (28.3 kg/m2) and equal proportions of obese (35.4 kg/m2) and low weight (20.0 kg/m2) in 17% of the sample (Table 1)

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Summary

Introduction

Possible to explore large volumes of data and identify profiles in the lack of a prelabelled ­response[6]. This study aimed to identify dietary patterns of Brazilian nulliparous pregnant women at mid-gestation, addressing the original food groups, and identify which food combinations best represents the characteristic of the choices for food consumption in this population

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