The effect of the a regional cardioprotective nutritional program on inflammatory biomarkers and metabolic risk factors in secondary prevention for cardiovascular disease, a randomised trial.

BACKGROUND & AIMS: To evaluate the effect of the Brazilian Cardioprotective Diet Program (BALANCE Program) on inflammatory biomarkers, involved in the pathophysiology of the atherosclerosis, on inflammatory biomarkers, cardiovascular risk factors, and on plasma fatty acids in cardiovascular disease secondary prevention patients. METHODS: In this substudy of the BALANCE Program randomized clinical trial, a total of 369 patients aged 45 years or older, who have experienced cardiovascular disease in the previous 10 years, were included. These patients were randomized into two groups and followed up for six months: BALANCE Program group and control group (conventional nutrition advice). In the initial and six-month final visits, anthropometry (body weight, height and waist circumference), food intake evaluation by 24-h dietary recall, plasma inflammatory biomarkers (IL-6, IL-8, IL-10, IL-12, tumor necrosis factor-α, adiponectin, and C-reactive protein levels), blood pressure, glycemia, insulinemia, lipid profile, and plasma fatty acids levels were evaluated. RESULTS: The BALANCE Program group showed increased plasma alpha-linolenic acid levels (P = 0.008), reduction in waist circumference (P = 0.049) and BMI (P = 0.032). No difference was observed among plasma inflammatory biomarkers and clinical data. CONCLUSION: After six months of follow-up, BALANCE Program led to a significant reduction on BMI and waist circumference in individuals in secondary prevention for cardiovascular disease. Although plasmatic alpha-linolenic acid has increased, there was no impact on plasma inflammatory biomarkers. CLINICAL TRIAL REGISTRATION: NCT01620398.

Using Natural Language Processing and Artificial Intelligence to Explore the Nutrition and Sustainability of Recipes and Food.

In this paper, we discuss the use of natural language processing and artificial intelligence to analyze nutritional and sustainability aspects of recipes and food. We present the state-of-the-art and some use cases, followed by a discussion of challenges. Our perspective on addressing these is that while they typically have a technical nature, they nevertheless require an interdisciplinary approach combining natural language processing and artificial intelligence with expert domain knowledge to create practical tools and comprehensive analysis for the food domain.

Impacts of home cooking methods and appliances on the GHG emissions of food.

Food is widely acknowledged as a major contributor to climate change but estimates of food-related greenhouse gas (GHG) emissions frequently consider supply chain stages only up to the farm gate or regional distribution centres. Here we estimate GHG emissions associated with different cooking methods and appliances in the UK. Data on current cooking practices were collected through a survey with more than 700 respondents. Our results reveal that home cooking accounts for as much as 61% of total emissions associated with specific foods, and that this can be substantially reduced through alternative, readily available cooking practices.

Development of a dietary index based on the Brazilian Cardioprotective Nutritional Program (BALANCE).

BACKGROUND: The diet of the Brazilian Cardioprotective Nutritional Program (BALANCE) classifies food into four groups and sets the daily amount to be consumed. The dietary approach of BALANCE is different from other dietary recommendations; therefore, it is not possible to use existing dietary indexes (DI) to assess patient's adequacy to BALANCE diet. For this reason, it is important to develop a specific dietary index based on BALANCE diet. This study aims to describe the development of the BALANCE DI, evaluate its internal consistency, construct and content validity and population characteristics associated with the index. METHODS: We analyzed baseline data from the BALANCE randomized clinical trial ( https://www.clinicaltrials.gov/ ; NCT01620398). The four food groups of the diet were adopted as index components. Points ranging from 0 to 10 were given to each index component. Internal consistency was evaluated by correlation coefficients between total score and component scores, as well as Cronbach's Alpha. Content and construct validity were assessed by checking how nutrients are associated with the index and if the index could distinguish between groups with known differences in diet, respectively. Crude and adjusted linear regression analyses were performed to evaluate population characteristics associated with the index. RESULTS: The analysis included 2044 subjects (58.6% men). The average of the total index was higher among women (p < 0,05). The components of the index showed low correlations with each other. The correlations between each individual component with the total index were > 0.40. Cronbach's alpha coefficient was 0.66. High scores in the index were inversely associated (p < 0,05) with energy, total fat, monounsaturated fat (MUFA) and cholesterol; they were positively associated (p < 0,05) with carbohydrates and fiber. Hypertensive men and diabetic women had higher scores, while male smokers had lower scores. CONCLUSIONS: The BALANCE DI showed reliability and construct validity similar to other DI. It also detected characteristics of individuals that are associated with higher or lower index scores.