The Influence of Sociodemographic Factors,Lifestyle, and Risk Perception on Dietary Patterns in Pregnant Women Living in Highly Contaminated Areas: Data from the NEHO Birth Cohort |
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Authors: | Silvia Ruggieri Gaspare Drago Simona Panunzi Giulia Rizzo Elisa Eleonora Tavormina Sabina Maltese Fabio Cibella |
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Affiliation: | 1.Institute for Biomedical Research and Innovation, National Research Council of Italy, 90146 Palermo, Italy;2.Institute for System Analysis and Computer Science—BioMatLab, National Research Council of Italy, 00168 Rome, Italy |
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Abstract: | During pregnancy, maternal nutrition and lifestyle play a critical role in influencing fetal development and newborn health outcomes. The aim of this study is to investigate the factors influencing the adherence to dietary patterns in pregnant women living in highly contaminated areas, and whether women with higher environmental risk perception manifest different nutritional behaviors during pregnancy. Food consumption data on 816 pregnant women from the Neonatal Environment and Health Outcomes (NEHO) residential birth cohort were analyzed. Dietary patterns were computed by principal component analysis. A multinomial logistic regression was also applied to identify sociodemographic, lifestyle, and pregnancy-related determinants of adherence to dietary patterns during pregnancy. Three patterns of food consumption—explaining 24.9% of the total variance—were identified as “prudent”, “high energy”, and “vegetarian” patterns. Results suggest that food choices during pregnancy follow a social gradient and align with other health behaviors during pregnancy: older, better educated, and physically active women with higher risk perception are more likely to follow healthier dietary patterns. Knowledge about what is eaten can contribute to dietary choices. Interventions to improve the prenatal nutrition knowledge of pregnant women are needed, especially concerning younger mothers and those with lower educational levels. |
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Keywords: | dietary patterns pregnancy principal component analysis socioeconomic factors lifestyle public health |
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