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To describe the characteristics, development and functionalities of the food intake data collection platform QuestNova. The platform was developed by two information technology specialists, with the support of a team from Nupens/USP. The development process took place in stages, with all the functionalities of each step being thoroughly tested by multiple team members before moving on to the next. QuestNova is a free online platform that offers three self-administered instruments for assessing food intake, based on the Nova classification: Screener-Nova, QFA-Nova and R24h- Nova. On the platform, the researcher can select the instrument of interest and send it via a link to the participants in their study, who will answer it autonomously, without the presence of an interviewer. Databases containing relevant indicators for evaluating food according to the level of processing are automatically generated from the responses. A crucial aspect of QuestNova is its commitment to the confidentiality and safety of participant data. No information is stored internally on the platform; on the contrary, data is transmitted directly to a Google Drive account provided by the researcher themselves. QuestNova democratizes access to innovative research tools, boosting studies on the impact of food processing on Brazilian health. Future updates may extend its usefulness. [ABSTRACT FROM AUTHOR]

OBJECTIVE: To describe two low-burden diet quality scores and evaluate their performance in reflecting the dietary share of the least and most processed foods defined within the Nova food system classification. METHODS: This cross-sectional study included data from the NutriNet-Brasil cohort. Participants answered the Nova24hScreener, a 3-minute self-administered questionnaire measuring the consumption of a set of foods on the day before. Food items included in this tool belong to two main groups of the Nova classification: unprocessed or minimally processed whole plant foods (WPF, 33 items) and ultra-processed foods (UPF, 23 items). Two scores were obtained by summing the number of items checked: the Nova-WPF and the Nova-UPF. We compared the scores, respectively, with the dietary intake (% of total energy) of all unprocessed or minimally processed whole plant foods and all ultra-processed foods obtained from a full self-administered web-based 24-hour recall performed on the same day. RESULTS: The approximate quintiles of each score had a direct and linear relationship with the corresponding % of energy intake (p-value for linear trend < 0.001). We found a substantial agreement between the intervals of each score and the corresponding % of energy intake (Nova-WPF score: Prevalence-Adjusted and Bias-Adjusted Kappa (PABAK) 0.72, 95%CI 0.64--0.81; Nova-UPF score: PABAK 0.79, 95%CI 0.69--0.88). CONCLUSIONS: These two scores performed well against the dietary share of unprocessed or minimally processed whole plant foods and ultra-processed foods in Brazil and can be used to evaluate and monitor diet quality. [ABSTRACT FROM AUTHOR]

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The objective of this commentary is to describe the characteristics, development and functionalities of the food intake data collection platform QuestNova. The platform was developed by two information technology specialists, with the support of a team from Nupens/USP. The development process took place in stages, with all the functionalities of each step being thoroughly tested by multiple team members before moving on to the next. QuestNova is a free online platform that offers three self-administered instruments for assessing food intake, based on the Nova classification: Screener-Nova, QFA-Nova and R24h-Nova. On the platform, the researcher can select the instrument of interest and send it via a link to the participants in their study, who will answer it autonomously, without the presence of an interviewer. Databases containing relevant indicators for evaluating food according to the level of processing are automatically generated from the responses. A crucial aspect of QuestNova is its commitment to the confidentiality and safety of participant data. No information is stored internally on the platform; on the contrary, data is transmitted directly to a Google Drive account provided by the researcher themselves. QuestNova democratizes access to innovative research tools, boosting studies on the impact of food processing on Brazilian health. Future updates may extend its usefulness.

This study aims to explore potential barriers and facilitators for healthy eating in the consumer food environment, and to analyze the association with different types of food retailers, having as theoretical reference the Dietary Guidelines for the Brazilian Population. This is a cross-sectional study carried out in the municipality of Jundiaí, São Paulo State, Brazil, with audits of the consumer food environment carried out in 650 retail stores. We identified barriers and facilitators of healthy food choices in the internal environment of the retail. Factor analysis estimated factors that characterized the environment according to barriers and facilitators. Linear regression evaluated the association between the factors and the different categories of establishments. Most establishments had priority sales of ultra-processed products. Out of the total food retailers studied, 75.9% offered sugary drinks; 37% rice, beans and 30% fruits and vegetables. We characterized the first factor by the presence of both barriers and facilitators (mixed factor), the second factor by more facilitators and the third by greater presence of barriers in the consumer environment. Supermarkets were positively associated with the three factors (p-value < 0.001). The fruit and vegetable stores and the neighborhood markets had a positive association with the most facilitating factor (p-value < 0.001). Markets and bakeries were positively associated with the more barriers factor (p-value < 0.001). The patterns that characterize barriers and facilitators for healthy eating differ significantly according to types of food retailers.

Objective: To describe the Nova score for the consumption of ultra-processed foods (UPF) and evaluate its potential in reflecting the dietary share of UPF in Brazil., Methods: This study was conducted in São Paulo with a convenience sample of 300 adults. Using a tablet, participants answered a 3-minute electronic self-report questionnaire on the consumption of 23 subgroups of UPF commonly consumed in Brazil, regarding the day prior the survey. Each participant score corresponded to the number of subgroups reported. The dietary share of UPF on the day prior to the survey, expressed as a percentage of total energy intake, was calculated based on data collected on a 30-minute complete 24-hour dietary recall administered by trained nutritionists. The association between the score and the dietary share of UPF was evaluated using linear regression models. The Pabak index was used to assess the agreement in participants' classification according to the fifths of Nova score and the fifths of dietary share of UPF., Results: The average dietary share of UPF increased linearly and significantly with the increase of the Nova score for the consumption of ultra-processed foods. We found a substantial agreement in participants' classification according to the fifths of the distribution of scores and the fifths of the dietary share of UPF (Pabak index = 0.67). Age was inversely associated with a relatively high frequency of UPF consumption (upper fifth of the distribution) for both score and dietary share of UPF., Conclusion: The Nova score for the consumption of ultra-processed foods, obtained in a quick and practical manner, shows a good potential in reflecting the dietary share of UPF in Brazil.

Objective: To describe the dietary characteristics of participants in the NutriNet Brasil cohort immediately before and during the covid-19 pandemic., Methods: Our data stem from an adult cohort created to prospectively investigate the relationship between diet and morbidity and mortality from chronic non-communicable diseases in Brazil. For this study, we selected the first participants (n = 10,116) who answered twice to a simplified questionnaire on their diet the day before, the first time when entering the study, between January 26 and February 15, 2020, and the second between May 10 and 19, 2020. The questionnaire inquiries about the consumption of healthy (vegetables, fruits and legumes) and unhealthy (ultra-processed foods) eating markers. Comparisons of indicators based on the consumption of these markers before and during the pandemic are presented for the study population and according to gender, age group, macro-region of residence and schooling. Chi-square tests and t-tests were used to compare proportions and means, respectively, adopting p < 0.05 to identify significant differences., Results: For all participants, we found a modest but statistically significant increase in the consumption of healthy eating markers and stability in the consumption of unhealthy food markers. This favorable pattern of dietary changes during the pandemic occurred in most sociodemographic strata. We observed a less favorable changing pattern, with a tendency to increasing consumption of healthy and unhealthy food markers, in the Northeast and North macro-regions and among people with less schooling, suggesting social inequalities in the response to the pandemic., Conclusions: If confirmed, the trend of increased consumption of ultra-processed foods in underdeveloped regions and by people with less schooling is concerning, as eating these foods increases the risk of obesity, hypertension and diabetes, whose presence increases the severity and lethality of covid-19.

Objective: to describe the adequacy of dietary practices in relation to the Dietary guidelines for the brazilian population, and to analyze associated factors among Brazilian adults., Methods: this was a cross-sectional study using a convenience sample of 900 adults (18-60 years old) resident in Brazil; a dietary practices scale (24 items; score 0-72) based on the Guideline recommendations was administered using an online panel; multiple linear regression analysis was used., Results: participants' mean age was 33.5 years and 52.0% of them were women; the mean score on the scale was 36.4 points (SD=8.5); scores were directly associated with age (linear trend p<0.001), and were higher among people from the North-Northeast regions (37.8), compared to those from the Midwest-Southern regions (35.8) (T-test p=0.001)., Conclusion: the adequacy of dietary practices in keeping with Guideline recommendations was associated with age and region of residence.