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BACKGROUND: Anxiety symptoms are factors that directly affect eating habits, but this interference can be heterogeneous depending on the nutritional status of the individuals. OBJECTIVES: To analyze whether the presence of anxiety symptoms at the beginning of the pandemic influenced the change in food consumption according to its purpose and extent of processing during a one-year follow-up and whether this association occurs equally with excess weight and without excess weight university students. METHODS: This longitudinal study was carried out with 583 university students from a public Higher Education Institution (HEI) in Brazil. The Generalized Estimating Equation (GEE) was used to verify whether anxiety symptoms were associated with changes in food consumption over time. RESULTS: The results showed that previous moderate/severe anxiety symptoms were associated with an increased frequency of consumption of both fresh or minimally processed foods (ß: 0.2 95%CI: 0.1; 0.7 p = 0.013) and ultra-processed foods (ß: 5.6 95%CI: 1.8; 17.7 p = 0.003), but with different magnitudes. In university students who were not excess weight, previous moderate/severe anxiety symptoms were associated with a reduction in the frequency of consumption of fresh or minimally processed foods (ß: -2.0 95%CI: -3.5; -0.5 p = 0.008), while in those who were excess weight, there was an increase in consumption of ultra-processed foods (ß: 4.5 95%CI: 2.2; 6.8 p < 0.001). CONCLUSION: This study confirms the influence of anxiety symptoms on food consumption according to the extent and purpose of processing. In addition, these results emphasize the role of psychological distress in the university population, and that this factor can affect excess weight and without excess weight individuals differently.

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AIM: This study aims to validate a Perceived Social Support Scale for University Students (EPSSEU) during periods of social restrictions, by focusing on family and university support. SUBJECT AND METHODS: This cross-sectional study was conducted with undergraduate students from a public higher education institution. The college students who participated in the study-1353 at baseline and 378 after 6 months-answered a virtual questionnaire containing questions on: sociodemographic and lifestyle data, items proposed for the EPSSEU, Satisfaction with Social Support Scale (ESSS), and Depression, Anxiety and Stress Scale (DASS-21). Exploratory factor analysis, Cronbach's alpha reliability analysis, as well as discriminant, convergent, and known-group validations were performed. RESULTS: The results showed two factors support from: i) the university and ii) friends and family- which explained 61.82% of the variance in the data. The EPSSEU showed good reliability (Cronbach's alpha = 0.796) as well as validity, with higher scores among individuals without depression, anxiety, or stress. CONCLUSION: The EPSSEU shows adequate psychometric qualities and may be a useful instrument for assessing university students' social support in pandemics, social distancing, and remote teaching contexts.

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BACKGROUND: Diabetes mellitus is a chronic and multifactorial condition, including environmental risk factors such as lifestyle habits and genetic conditions. OBJECTIVE: We aimed to evaluate the association of VDR gene polymorphism (rs2228570) FokI and vitamin D levels with diabetes in adults. METHODS: Cross-sectional population-based study in adults, conducted from October to December 2020 in two Brazilian cities. The outcome variable was diabetes, defined as glycated hemoglobin ≥ 6.5% or self-report medical diagnosis or use of oral hypoglycemic drugs. Vitamin D (25-hydroxyvitamin D) was measured by indirect electrochemiluminescence, and classified as deficiency when 25(OH)D < 20 ng/mL. All participants were genotyped for VDR FokI polymorphism by qPCR and classified as homozygous mutant (ff or GG), heterozygous (Ff or AG), or homozygous wild (FF or AA). A combined analysis between the FokI polymorphism and vitamin D levels with diabetes was also examined. A directed acyclic graph (DAG) was used to select minimal and sufficient adjustment for confounding variables by the backdoor criterion. RESULTS: The prevalence of DM was 9.4% and vitamin D deficiency (VDD) was 19.9%. The genotype distribution of FokI polymorphism was 9.9% FF, 44.8% Ff, and 45.3% ff. It was possible to verify a positive association between vitamin D deficiency and DM (OR = 2.19; 95% CI: 1.06-4.50). Individuals with the altered allele (ff) had a 1.78 higher prevalence of DM (OR: 1.78; 95% CI; 1.10-2.87). Combined analyses, individuals with vitamin D deficiency and one or two copies of the altered FokI allele had a higher prevalence of DM (Ff + ff: OR: 1.67; 95% CI; 1.07-2.61; ff: OR: 3.60; 95% CI; 1.40-9.25). CONCLUSION: Our data suggest that vitamin D deficiency and FokI polymorphism are associated with DM.

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To evaluate association of vitamin D with sleep quality in adults and the influence of VDR-gene polymorphism FokI (rs2228570;A > G). Cross-sectional population-based study in adults, conducted in Brazil. The outcome was sleep-quality, evaluated by the Pittsburgh Sleep Quality Index. Vitamin D was determined by indirect electrochemiluminescence and classified as deficiency (VDD), 25(OH)D < 20 ng/mL in a healthy population or 25(OH)D < 30 ng/mL for groups at risk for VDD. FokI polymorphism in the VDR-gene was genotyped by qPCR and classified as homozygous wild (FF or AA), heterozygous (Ff or AG), or homozygous mutant (ff or GG). Multivariate logistic analysis was used to estimate the association between vitamin D and FokI polymorphism with sleep-quality. In a total of 1674 individuals evaluated, 53.6% had poor-sleep-quality, 31.5% had VDD, and the genotype frequency of the FokI polymorphism was 9.9% FF, 44.6% Ff, and 45.5% ff. In multivariate analysis, individuals with VDD had 1.51 times the chance of poor-sleep-quality, and individuals with the ff genotype had 1.49 times the chance of poor-sleep-quality (OR:1.49;95%CI:1.05-2.12) when compared to individuals with the FF or Ff genotype. In the combined analysis, individuals with VDD and ff genotype had more chance of poor-sleep-quality than individuals with sufficient vitamin D and genotype Ff or FF (OR:2.19;95%CI:1.27-3.76). Our data suggest that VDD and VDR FokI gene polymorphism are associated with poor-sleep-quality, and combining the two factors increases the chance of poor-sleep-quality compared to separate groups.

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BACKGROUND: Dietary fatty acids are related to the development of several inflammatory-related diseases, which may include depression. So, the association between fatty acids, culinary oils and fat intake and depression in highly educated Brazilians was evaluated. METHODS: Multicenter cross-sectional study using baseline data from the Cohort of Universities of Minas Gerais. The diagnosis of depression was self-reported, and the daily intake of fatty acids was assessed using a 144-item food frequency questionnaire (FFQ). RESULTS: A total of 7157 participants (68.83 % women) with a median age of 33 years were included. The prevalence of depression was 12.60 % (N = 902). In the adjusted analyses, it was observed that individuals with the highest intake of omega-6 fatty acids (n-6) (OR: 1.36, 95 % CI 1.11-1.67) had a higher prevalence of depression. This increased n-6 intake was identified as a risk factor for depression only among male participants, while among overweight participants, higher n-6 intake was also positively associated with depression. Conversely, a higher ratio of polyunsaturated to monounsaturated and saturated fatty acids (PM/S) was also found to be positively associated with depression, but this association was observed only among non-overweight participants. No associations were found between the consumption of culinary oils or fats and depression. LIMITATIONS: Cross-sectional design limits the assessment of causality. The use of the FFQ can make estimates more difficult. CONCLUSION: Higher consumption of n-6, and higher PM/S ratios were associated with depression, and individual factors can interfere. The mental health care policies should include specific nutritional strategies.

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We aimed to evaluate the intake of dietary total polyphenols and their classes according to NOVA classification among adults of a Brazilian cohort study. This is a cross-sectional study, in which food consumption was assessed using an Food Frequency Questionnaire (FFQ) and polyphenol content (total and their classes) was estimated at Phenol-Explorer for each food category and presented as mean and 95% confidence interval. Adjusted linear regression was used to describe the trend of the association between the quintiles of polyphenols intake (dependent variable) and NOVA group of food consumption (independent variable). The higher consumption of fresh/minimally processed foods is accompanied by a higher intake of total polyphenols and all their classes, while the higher consumption of ultra-processed foods represented the lower intake of total polyphenols and their classes. Fresh foods are the greatest sources of polyphenols, and their daily consumption should be encouraged, while ultra-processed foods are deficient in such bioactive compounds.

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The COVID-19 pandemic has generated substantial changes in the lives of the population, such as increased physical inactivity, which can lead to being overweight and, consequently, repercussions on glucose homeostasis. A cross-sectional study based on the adult population of Brazil was conducted by stratified, multistage probability cluster sampling (October and December 2020). Participants were classified as physically active or inactive during leisure time according to the recommendations of the World Health Organization. HbA1c levels were categorized as normal (≤6.4%) or with glycemic changes (≥6.5%). The mediating variable was being overweight (overweight and obese). Descriptive, univariate, and multivariate logistic regression analyses examined the association between physical inactivity and glycemic changes. Mediation was analyzed using the Karlson-Holm-Breen method to verify the influence of being overweight on the association. We interviewed 1685 individuals, mostly women (52.4%), 35-59 years old (45.8%), race/ethnicity brown (48.1%), and overweight (56.5%). The mean HbA1c was 5.68% (95% CI: 5.58-5.77). Mediation analysis verified that physically inactive participants during leisure time were 2.62 times more likely to have high levels of HbA1c (OR: 2.62, 95% CI: 1.29-5.33), and 26.87% of this effect was mediated by over-weight (OR: 1.30: 95% CI: 1.06-1.57). Physical inactivity at leisure increases the chances of high levels of HbA1c, and part of this association can be explained by being overweight.

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OBJECTIVES: This study aimed to evaluate the association of vitamin D with sleep quality during the COVID-19 pandemic and the influence of daily sunlight on this association. METHODS: This cross-sectional, population-based study among adults stratified by multistage probability cluster sampling was conducted from October to December 2020 in the Iron Quadrangle region of Brazil. The outcome was sleep quality, evaluated by the Pittsburgh Sleep Quality Index. Vitamin D (25-hydroxyvitamin D) concentrations were determined by indirect electrochemiluminescence and a deficiency was classified as 25(OH)D < 20 ng/mL. To assess sunlight, the average daily sunlight exposure was calculated and was classified as insufficient when less than 30 min/d. Multivariate logistic analysis was used to estimate the association between vitamin D and sleep quality. A directed acyclic graph was used to select minimal and sufficient sets of adjustment variables for confounding from the backdoor criterion. RESULTS: In a total of 1709 individuals evaluated, the prevalence of vitamin D deficiency was 19.8% (95% CI, 15.5-24.9%), and the prevalence of poor sleep quality was 52.5% (95% CI, 48.6-56.4%). In multivariate analysis, vitamin D was not associated with poor sleep quality in individuals with sufficient sunlight. Moreover, in individuals with insufficient sunlight, vitamin D deficiency was associated with poor sleep quality (odds ratio [OR], 2.02; 95% CI, 1.10-3.71). Furthermore, each 1-ng/mL increase in vitamin D levels reduced the chance of poor sleep quality by 4.2% (OR, 0.96; 95% CI, 0.92-0.99). CONCLUSIONS: Vitamin D deficiency was associated with poor sleep quality in individuals with insufficient exposure to sunlight.

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ABSTRACT Objectives: We aimed to evaluate the association between the triglyceride glucose index (TyG index) and sleep quality and to establish a cut-off value for the TyG index based on the prevalence of subjects with insulin resistance (IR). Materials and methods: This cross-sectional study involved Brazilian health professionals (20-59 years). A total of 138 subjects answered the Pittsburgh Sleep Quality questionnaire to evaluate sleep quality. They were categorized into two groups: good sleep quality (global score ≤ 5 points) and poor sleep quality (global score ≥ 6 points). Also, we classified the subjects as having a high (>8.08 or >4.38) or low TyG index (≤8.08 or ≤4.38). Results: The majority of the subjects (70%) with high TyG index values (>8.08 or >4.38) reported poor sleep quality (p ≤ 0.001). Those with poor sleep quality had a 1.44-fold higher prevalence of IR (TyG index >8.08 or >4.38) compared to those with good sleep quality, regardless of sex, total cholesterol, LDL/HDL ratio, insulin, complement C3, CRP, and adiponectin (p ≤ 0.001). Conclusion: Our data showed a positive and significant association between the TyG index and poor sleep quality. Thus, these findings support the association between poor sleep quality and IR.

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In the absence of a recommendation for daily intake of phenolic compounds, to compare the intake of the main dietary polyphenols between populations is a really challenge. This study aimed to estimate the total dietary intake of polyphenols, classes and their food sources among Brazilian graduates and postgraduates. This was a cross-sectional study using baseline data from the Cohort of Universities of Minas Gerais (CUME project). Food consumption was assessed using a quantitative food frequency questionnaire with 144 food items. Polyphenol intake was estimated from the Phenol-Explorer and US Department of Agriculture database, and previous studies that evaluated the phenolic content of specific foods. A total of 4130 individuals of both sexes with a median age of 34 (18-86) years old were finally included. The median intake of total polyphenols adjusted for energy was 753.41 mg/day (interquartile range - IQR=461.80; p<0.001), and the most consumed classes were phenolic acids and flavonoids, with median intakes of 552.30 mg/d (IQR=429.78; p<0.001) and 154.70 mg/day (IQR=108.70; p<0.001), respectively. The main food sources of polyphenols were coffee, peanuts, beans, and fruits. A lower intake of total polyphenols and their classes was observed in a population with similar characteristics to those from developed countries. The results demonstrate the importance of disseminating nutritional information about foods, so that the consumption of natural foods is prioritized. New studies that evaluate the consumption of polyphenols and their impact on human health are recommended to establish a daily recommendation for the consumption of such compounds.

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