Evaluating the influence of ultra-processed food intake on associations between dietary indices with systemic inflammation in adulthood and old ages.

BACKGROUND & AIMS: Low-grade systemic inflammation (LGSI) is critical to developing many chronic diseases. In turn, it has been shown that the diet can modulate favorably or unfavorably the inflammatory status. Thus, evaluating the diet from appropriate approaches is fundamental; to do so, there are different proposals for dietary indexes. We aimed to: (i) investigate the association between three well-known dietary indexes and LGSI biomarkers; (ii) test these associations individually or in combination with an indicator of ultra-processed foods (UFPs) intake. (iii) as an additional aim, hypothesizing that all the indexes should be capable of identifying the inflammatory potential of diet, we tested the hypothesis that these indexes agree and correlate with each other. METHODS: Cross-sectional population-based data of adults and older persons (n = 583). Dietary data were obtained through two non-consecutive 24-h dietary recalls (24HDR) and calculated for Dietary Inflammatory Index (DII), Mediterranean-Style Dietary Pattern Score (MSDPS); Brazilian Healthy Eating Index - Revised (BHEI-R) and energy ingested from UPFs (UPFs ratio). An LGSI score was created from some plasma inflammatory biomarkers [C-Reactive Protein (CRP), tumor necrosis factor-alpha (TNF-α), and adiponectin]. Logistic and linear regression models tested the associations between dietary indexes and LGSI score. RESULTS: The MSDPS and DII were significantly associated with our inflammatory score, but the BHEI-R did not. Including UPFs in regression models did not increase the strength of these associations. CONCLUSIONS: From the three scores, the dietary inflammatory index and the Mediterranean-style dietary pattern score (MSDPS) were the ones that showed significant association with the inflammatory biomarker. The combination of the indexes with a ratio of UPF intake did not increase the significance of our analyses. The best agreement between the indexes was found between MSDPS and UPFs ratio; the only pair of indexes considered concordant and correlated was the BHEI-R and DII.

Validation of the Brazilian Healthy Eating Index-Revised Using Biomarkers in Children and Adolescents.

The Brazilian Healthy Eating Index-Revised (BHEI-R) can be used to determine overall dietary patterns. We assessed the BHEI-R scores in children and adolescents, aged from 9 to 13 years old, and associated its component scores with biomarkers of health and dietary exposure. Three 24-h recalls were used to generate BHEI-R. Biomarkers were analyzed in plasma and red blood cells. Correlation tests, agreement, and covariance analyses were used to associate BHEI-R components with biomarkers. Data from 167 subjects were used. The strongest correlations were between fruits, vegetables and legumes with omega-6 and omega-3 fatty acids, and ß-carotene intakes. Milk and dairy correlated with plasma retinol and pyridoxine. All components rich in vegetable and animal protein sources correlated with plasma creatine. Total BHEI-R scores were positively associated with intakes of omega-6, omega-3, fiber and vitamin C, and inversely associated with energy and saturated fat intakes of individuals. Plasma ß-carotene and riboflavin biomarkers were positively associated with total BHEI-R. An inadequate food consumption pattern was captured by both biomarkers of health and dietary exposure. BHEI-R was validated for the above dietary components and can be associated with metabolomics and nutritional epidemiological data in future pediatric studies.

Diet Quality of patients with chronic Chagas disease in a tertiary hospital: a case-control study

Abstract INTRODUCTION: Nutritional status has been implicated in the modulation of the immune response, possibly augmenting the pathogenesis of Chagas disease (Cd). We evaluated diet quality and nutritional status in adults and elderly patients with chronic Cd in a tertiary hospital. METHODS: A case-control study of Cd patients was conducted, paired for gender, age, and co-morbidities with non-Cd patients. Anthropometric measurements and food frequency questionnaire was used, and diet quality was assessed by the Brazilian Healthy Eating Index-Revised (BHEI-R). The Estimated Average Requirement cut-off points were used to determine the dietary micronutrient adequacy. The Cd group was further grouped according to Los Andes classification. RESULTS: The study participants were 67 ± 10 years old, 73.6% elderly and 63% female. The prevalence of overweight/obesity and abdominal fat was high in both groups; however, Cd group showed a lower prevalence of obesity and increased risk of disease according to waist circumference classification. There was no difference in BHEI-R score between groups (p=0.145). The Cd group had sodium and saturated fat intake above recommendations and low intake of unsaturated fat, vitamin D, E, selenium, magnesium, and dairy products; but higher intake of iron. According to Los Andes classification, group III presented lower intake of whole fruit and dietary fiber. CONCLUSIONS: Patients with Cd were overweight and the quality of their diet was unsatisfactory based on the recommended diet components for age and sex.

Using Two Different Approaches to Assess Dietary Patterns: Hypothesis-Driven and Data-Driven Analysis.

The use of dietary patterns to assess dietary intake has become increasingly common in nutritional epidemiology studies due to the complexity and multidimensionality of the diet. Currently, two main approaches have been widely used to assess dietary patterns: data-driven and hypothesis-driven analysis. Since the methods explore different angles of dietary intake, using both approaches simultaneously might yield complementary and useful information; thus, we aimed to use both approaches to gain knowledge of adolescents' dietary patterns. Food intake from a cross-sectional survey with 295 adolescents was assessed by 24 h dietary recall (24HR). In hypothesis-driven analysis, based on the American National Cancer Institute method, the usual intake of Brazilian Healthy Eating Index Revised components were estimated. In the data-driven approach, the usual intake of foods/food groups was estimated by the Multiple Source Method. In the results, hypothesis-driven analysis showed low scores for Whole grains, Total vegetables, Total fruit and Whole fruits), while, in data-driven analysis, fruits and whole grains were not presented in any pattern. High intakes of sodium, fats and sugars were observed in hypothesis-driven analysis with low total scores for Sodium, Saturated fat and SoFAA (calories from solid fat, alcohol and added sugar) components in agreement, while the data-driven approach showed the intake of several foods/food groups rich in these nutrients, such as butter/margarine, cookies, chocolate powder, whole milk, cheese, processed meat/cold cuts and candies. In this study, using both approaches at the same time provided consistent and complementary information with regard to assessing the overall dietary habits that will be important in order to drive public health programs, and improve their efficiency to monitor and evaluate the dietary patterns of populations.