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The consumption of ultra-processed foods reduces overall quality of diet in pregnant women.

Nayara Gomes GracilianoJonas Augusto Cardoso da SilveiraAlane Cabral Menezes de Oliveira
Published in: Cadernos de saude publica (2021)
This study analyzed the role of ultra-processed foods (UPFs) in the food and nutritional profile of pregnant women's diet. This was a cross-sectional study conducted in a representative sample of pregnant women attending primary healthcare units in Maceió, capital of the State of Alagoas, Brazil. Food consumption was assessed with the application of two 24-hour food recalls on nonconsecutive days, and the consumption items were grouped according to the NOVA classification. Overall estimates were expressed as absolute dietary consumption (mean calorie intake) and relative consumption (percentage of total energy intake according to food groups and consumption items). Analysis of variance was used to compare mean energy and nutrient intake according to food groups. The association between quintiles of the energy share from UPFs (exposure variable) and (1) consumption items and food groups, (2) percentage of total energy from macronutrients, and (3) micronutrient density was analyzed via adjusted linear regression models. Mean energy intake in pregnant women was 1,966.9Kcal/day, 22% of which from UPFs. A direct relationship was observed between the percentage of energy from UPFs and total energy consumption (β = 228.78Kcal; SE = 21.26). In addition, an increase in the share of UPFs was associated with a statistically significant reduction in the intake of protein, fiber, magnesium, iron, potassium, zinc, selenium, folate, and vitamins D and E, as well as in the consumption of traditional foods such as protein, beans, roots, and tubers. Our data thus indicate that the consumption of UPFs reduces the overall nutritional and food quality of diet in pregnant women.
Keyphrases
  • pregnant women
  • healthcare
  • physical activity
  • human health
  • blood pressure
  • pregnancy outcomes
  • weight gain
  • climate change
  • social media
  • tertiary care
  • big data
  • amino acid
  • binding protein
  • health information