Diet during pregnancy: ultra-processed foods and the inflammatory potential of diet

The association between ultra-processed food intake and age-related hearing loss: a cross-sectional study

OBJECTIVES

This study aimed to explore the association between ultra-processed foods and age-related hearing loss.

METHODS

Cross-sectional analyses based on data from a nationally representative sample of 1075 adults aged over 50 in the US was performed. The odds ratios (ORs) and 95% confidence intervals (CIs) for hearing loss according to ultra-processed foods intake quartiles were calculated using a multiple adjusted logistic regression model. Restricted cubic spline model was used to flexibly model potential nonlinear relations between ultra-processed foods intake and possibility of hearing loss. We also explored statistical interactions and conducted subgroup analyses where they were found to be significant.

RESULTS

Ultra-processed foods intake was significantly correlated with high-frequency hearing loss. After controlling for all covariables, individuals in the fourth quartile of Ultra-processed foods consumption had a 2.8 times higher chance of developing high-frequency hearing loss than individuals in the first quartile of Ultra-processed foods consumption. We also found that the association was more significant in non-Hispanic whites.

CONCLUSIONS

This study discovered an association between Ultra-processed foods intake and the incidence of high-frequency hearing loss, which was more significant in non-Hispanic whites.

The Dietary Inflammatory Index is associated with diet quality and nutrient intake during the gestational period

In pregnant women, the Energy-adjusted Dietary Inflammatory Index (E-DII) is adopted to measure the inflammatory potential of the diet, but it does not predict the quality of the diet. Our hypothesis is that a more pro-inflammatory diet during pregnancy is also a poorer quality diet. Thus, the objective of this study is to verify the association of the E-DII with the Diet Quality Index Adapted for Pregnancy (DQI-P) and the nutrient intake from the diet in terms of the second and third gestational trimesters. This is a cross-sectional study that took place in Brazil (2018-2019), with eligible adult women up to 72 hours' postpartum and in good health. Socioeconomic, gestational, anthropometric, and food consumption data were collected, enabling the calculation of E-DII, DQI-P, and nutrient intake. The sample (n = 260) had a median E-DII of 0.04 (-1.30 to 1.90) and DQI-P of 68.82 (18.82-98.22). There was no relevant difference between E-DII tertiles by sociodemographic, gestational, and anthropometric characteristics. The E-DII and the DQI-P showed agreement (55.7%) and inverse correlation (r = -0.53; P < .001). Each 1-unit increase in DQI-P, iron, iodine, magnesium, pyridoxine, and vitamin E decreased the E-DII score (P < .05). An increase of 1 unit in protein, saturated fatty acids, and vitamin C increased the E-DII score (P < .05). Thus, the results suggest that the E-DII can predict diet quality during pregnancy, with the added benefit of measuring the inflammatory potential of the diet.

[Maternal factors associated with habitual consumption of ultra-processed foods during pregnancy]

The scope of the study was to investigate the relationship between maternal sociodemographic, obstetric and lifestyle characteristics and the habitual consumption of ultra-processed foods. It included a cross-sectional study of n = 784 pregnant women attended by the Unified Health System. Diet was estimated using two 24-hour recall surveys, using the multiple-pass method. Ultra-processed foods were classified using the UN NOVA food classification and their habitual consumption was expressed as the contribution to the total energy percentage. Adjusted linear regression models were used to investigate the relationship between maternal characteristics and the percentage of energy (%E) derived from ultra-processed foods. The %E of ultra-processed foods in the diet was 32.1%. Maternal age (-0.45[-0.62; -0.29] p < 0.001), economic bracket D+E in relation to A+B (-2.95[-5.59; -0.32] p = 0.03) and energy underreporting (-6.95[-8.86; -5.04] p < 0.001) were inversely associated with the %E of ultra-processed foods, whereas the pre-pregnancy Body Mass Index (BMI) (0.41[0.22; 0.60] p < 0.001) was directly associated. This would suggest that maternal age, economic status, energy underreporting and pre-gestational anthropometric status are associated with the consumption of ultra-processed foods during pregnancy.

Maternal Consumption of Ultra-Processed Foods-Rich Diet and Perinatal Outcomes: A Systematic Review and Meta-Analysis

The consumption of ultra-processed food (UPF)-rich diets represents a potential threat to human health. Considering maternal diet adequacy during pregnancy is a major determinant for perinatal health outcomes, this study aimed to systematically review and meta-analyze studies investigating the association between maternal consumption of a UPF-rich diet and perinatal outcomes. Conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, five electronic databases and gray literature using Google Scholar and ProQuest Dissertations and Theses Global were searched up to 31 May 2022. No restrictions were applied on language and publication date. Two reviewers independently conducted the study selection and data extraction process. Meta-analysis was conducted according to the random-effects model. In total, 61 studies were included in the systematic review and the overall population comprised 698,803 women from all gestational trimesters. Meta-analysis of cohort studies showed that maternal consumption of UPF-rich diets was associated with an increased risk of gestational diabetes mellitus (odds ratio (OR): 1.48; 95% confidence interval (CI): 1.17, 1.87) and preeclampsia (OR: 1.28; 95% CI: 1.15, 1.42). Neonatal outcomes showed no association. The overall GRADE quality of the evidence for the associations was very low. The findings highlight the need to monitor and reduce UPF consumption, specifically during the gestational period, as a strategy to prevent adverse perinatal outcomes.