The combined consumption of fresh/minimally processed food and ultra-processed food on food insecurity: COVID Inconfidentes, a population-based survey.

OBJECTIVE: To investigate whether the combined consumption of fresh/minimally processed and ultra-processed food is associated with food insecurity (FI) during the COVID-19 pandemic. DESIGN: Cross-sectional observational study was derived from a survey using a population-based search of a complex sample. FI was assessed using the validated Brazilian Food Insecurity Scale. Food consumption was assessed using a qualitative FFQ and the NOVA classification for fresh/minimally processed food and ultra-processed food. A scoring system was used to evaluate combined food consumption according to the extent and purpose of processing, considering the weekly consumption of the two groups (according to the NOVA classification). Higher punctuation reflects worse diet quality (higher consumption of ultra-processed foods and lower consumption of fresh/minimally processed foods). A theoretical causality model was constructed using a directed acyclic graph, and multivariate analysis was performed using Poisson regression to test the association between FI and food consumption. SETTING: Ouro Preto and Mariana, Brazil, between October and December 2020. PARTICIPANTS: An epidemiological household survey was conducted with 1753 individuals selected through a stratified and clustered sampling design in three stages. RESULTS: Those with food consumption scores in the fourth quartile had a 60 % higher prevalence ratio (PR) for FI (PR: 1·60 and 95 % CI: 1·06 - 2·40). Also, the increased consumption of fresh/minimally processed foods and low consumption of ultra-processed foods presented a 45 % lower prevalence ratio of FI (PR: 0·55 and 95 % CI: 0·40 - 0·80). CONCLUSION: These results indicate an inverse association between FI and diet quality.

Multiple health risk behaviors, including high consumption of ultra-processed foods and their implications for mental health during the COVID-19 pandemic

Background and aim The growing increase in diet- and behavior-related illnesses has drawn the attention of many epidemiologists who attribute such changes to the epidemiological and nutritional transition. Thus, this study aims to evaluate the association between the combined occurrence of health risk behaviors, such as sedentary lifestyles, high weekly consumption of ultra-processed foods (UPFs), and non-daily consumption of fruits and vegetables, and symptoms of anxiety or depression in adults. Methods This is a cross-sectional study based on an epidemiological survey in two Brazilian cities. The outcome, anxiety, and depression symptoms were assessed using the Generalized Anxiety Disorder 7-item (GAD-7) and the Patient Health Questionnaire-9 (PHQ-9). Food consumption was assessed using a qualitative food frequency questionnaire (FFQ) with reference to consumption in the last 3 months and categorized into the consumption of fruits and vegetables and the consumption of UPFs according to the NOVA classification. Sedentary behavior was assessed by considering the amount of sitting or reclining time per day reported by participants and categorized as less than 9 h of sitting or reclining and 9 h or more. For the analysis, adjusted Poisson regression (PR) was used to estimate the prevalence ratio and the 95% confidence interval (CI). Results Those with the health risk behaviors, non-daily consumption of fruits and vegetables, and high consumption of UPFs had a 2.6 higher prevalence ratio for symptoms of mental disorder (PR: 2.6 and 95%CI: 1.1–6.5), as well as those with all three health risk behaviors, had a 2.8 higher prevalence ratio for symptoms of mental disorder (PR: 2.8 and 95%CI: 1.3–6.1). Conclusion This study revealed that the existence of a combination of two and three health risk behaviors led to a higher prevalence of symptoms of anxiety or depression.

Food consumption according to the level of processing and sleep quality during the COVID-19 pandemic.

BACKGROUND AND AIMS: Consumption of ultra-processed foods is negatively associated with health outcomes, however, the contribution to sleep quality is limited. Therefore, the objective of this study was to evaluate the association between food intake by frequency and degree of processing and sleep quality in adults during the covid-19 pandemic. METHODS: Population-based survey of adults from October to December 2020 in the Iron Quadrangle region, Brazil. The exposure variable was a food intake score that considered the frequency of consumption and food processing degree. The total score ranged from 0 (best) to 48 points (worst food quality), categorized into quartiles. Furthermore, we also evaluated whether individuals replaced their lunch and/or dinner based mostly on fresh/minimally processed foods for ultra-processed foods, for five or more days in the week. The outcome variable was sleep quality assessed with the Pittsburgh Sleep Quality Index. We constructed a contrasting directed acyclic graph (DAG) model to estimate the adjusted odds ratio of the association between score eating and sleep, by logistic regression. RESULTS: Most of the 1762 individuals evaluated had poor sleep quality (52.5%). The minimum and maximum food scores were 0 and 30 points (mean 9.16; 95% CI 8.50, 9.81). The higher values of the score corresponded to lower consumption of fresh and minimally processed foods and higher consumption of ultraprocessed foods. In multivariate analysis, individuals in the third food consumption score had 71% greater odds of poor sleep quality (OR = 1.71; 95% CI: 1.03, 2.85) and in the fourth quartile 144% greater odds (OR = 2.44; 95% CI: 1.32, 2.44). Besides, replacing the dinner meal with ultra-processed foods five days or more in the week was also associated with poor sleep quality (OR = 2.01; 95%CI: 1.14, 3.57). CONCLUSION: Higher consumption of ultra-processed foods concomitant with lower consumption of fresh and minimally processed foods is associated with a higher chance of poor sleep quality.

Ultra-processed and fresh food consumption and symptoms of anxiety and depression during the COVID - 19 pandemic: COVID Inconfidentes.

BACKGROUND & AIM: Psychological disorders are an important health problem worldwide. A healthy diet is recommended as one of the measures to prevent and control mental disorders. Epidemiological studies have shown important associations between the consumption of diets rich in nutrients and a lower risk of developing anxiety and depression. Therefore, the aim of this study was to evaluate the association between the prevalence of anxiety and depression symptoms and food consumption, according to the degree of processing, during the COVID-19 pandemic. METHODS: An epidemiological household survey was conducted in two cities in Brazil. Anxiety and depression symptoms were assessed using validated scales (Generalized Anxiety Disorder 7-item/Patient Health Questionnaire-9), and food consumption was assessed using a qualitative food frequency questionnaire referring to consumption within the last 3 months. The foods were categorized according to the NOVA classification for fresh/minimally processed food and ultra-processed food, using the average weekly consumption as the cutoff. For data analysis, adjusted Poisson regression with robust variance was utilized to estimate the prevalence ratio and 95% confidence interval (CI). RESULTS: The consumption of fresh/minimally processed foods above the weekly average frequency was associated with a lower prevalence of symptoms of depression (PR: 0.5, 95% CI: 0.3; 0.7). Consumption above the weekly average of ultra-processed foods was associated with a higher prevalence of anxiety (PR: 1.5 and 95% CI: 1.03; 2.3) and depression symptoms (PR: 1.5, 95% CI: 1.0; 2.1, P = 0.034). CONCLUSION: Increased consumption of ultra-processed foods is associated with a higher occurrence of anxiety and depression symptoms; therefore, we recommend an increase in the consumption of fresh/minimally processed foods, as endorsed by the Dietary Guidelines for the Brazilian Population.

Home food insecurity during the suspension of classes in Brazilian public schools due to the COVID-19 pandemic.

OBJECTIVES: We sought to evaluate the effect of socioeconomic conditions and variables related to the COVID-19 pandemic on the food insecurity of students during suspension of classes in public schools. METHODS: This was a telephone survey (n = 612) of adults responsible for purchasing food through representative samples of students in two Brazilian municipalities in June and July 2020. The outcome was food insecurity, assessed using the Brazilian Food Insecurity Scale. Multivariate logistic regression models were used to estimate the odds ratio (OR) and 95% confidence interval (CIs) for sociodemographic and pandemic-related factors of COVID-19. RESULTS: The total prevalence of food insecurity in households was 82%, with 65.7% mild food insecurity, 11.3% moderate, and 5.0% severe. After adjustment for confounding factors, households with the highest number of children (OR = 2.17; 95% CI, 1.10-4.27) and households that received local-government basic food baskets (OR = 1.64; 95% CI, 1.04-2.58) were significantly associated with food insecurity. Furthermore, households that did not experience a decrease in income during the pandemic were inversely associated with food insecurity (OR, 0.17; 95% CI, 0.09-0.32). CONCLUSIONS: The prevalence of food insecurity was high, and policies for the distribution of food baskets may not be sufficient to guarantee food security for the most vulnerable families with a greater number of children. Considering the possible worsening of food insecurity during the COVID-19 pandemic, the National School Feeding Program has the potential to play a strategic role in promoting food security for students.