Dietary Patterns of Pregnant Women and Their Association with Diet Quality Measures: A Comparative Analysis.

Healthy dietary patterns during pregnancy are crucial for ensuring maternal and foetal health outcomes. Numerous methodologies exist for assessing the diet of pregnant women, including dietary patterns and various appraisal tools of diet quality. This study aimed to assess the dietary patterns and diet quality of pregnant women and to investigate the relationship between dietary patterns, diet quality estimators, and the adequacy of nutrient intake. EPIC FFQ was applied to a sample of 251 pregnant women, and questionnaires were interpreted with the FETA program. Dietary patterns were then determined by means of principal component analysis. Our results showed a substantial association between dietary patterns and total diet quality, as measured by the Diet Quality Index for Pregnancy (DQI-Pc), PURE Healthy Diet Score, and FIGO Diet Quality Score. We also found correlations between certain dietary patterns and particular nutrient intakes recommended by the European Food Safety Authority during pregnancy. The most deficient intake was registered for iron (86.1%), zinc (87.3%) and magnesium (79.3%), posing a threat to normal bone development, anaemia prophylaxis, and immune status. These results highlight the importance of assessing and understanding eating habits during pregnancy in order to achieve optimal outcomes for both the mother and the foetus.

Exploring Lifestyle and Dietary Patterns in Pregnancy and Their Impact on Health: A Comparative Analysis of Two Distinct Groups 10 Years Apart.

The significance of dietary patterns during pregnancy is highlighted by accumulating evidence, emphasizing their pivotal role in promoting a healthy pregnancy for both the mother and the child. This study aimed to assess the current dietary patterns of pregnant women, compare the energy and nutrient intake of two distinct groups with a 10-year interval, and identify changes in dietary patterns. EPIC FFQ was applied, and its data were interpreted with the FETA program version 6 (CAMB/PQ/6/1205). By means of principal component analysis, three different food patterns were identified in each study group: vegetarian, balanced, and traditional (2013); and prudent, vegetarian, and modern (2023). Analyzing the relationship between food groups and gestational weight, we found that gestational weight gain in 2013 was positively correlated with eggs and egg dishes and milk and milk products, whereas in 2023, gestational weight gain was positively correlated with fats and oils, non-alcoholic beverages, and the modern pattern. Additionally, in 2023, pre-gestational BMI correlated positively with eggs and egg dishes. The balanced pattern emerged as a predictor for a lower likelihood of inadequate gestational weight gain in both groups. Furthermore, normal and overweight pregnant women showed a reduced likelihood of excessive gestational weight gain.