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Type 2 diabetes (T2DM), hypertension, and obesity are major contributors to global mortality. This study aimed to evaluate eating behavior and dietary practices among individuals with T2DM and/or hypertension, examining their associations with sociodemographic and anthropometric characteristics. We hypothesized that these factors may contribute to body mass index (BMI) and body fat (BF) levels in these individuals. In a cross-sectional study, adults/older individuals diagnosed with T2DM and/or hypertension were included. Eating behavior was evaluated via Three-factor Eating Questionnaire-R21. Dietary practices were assessed using the Dietary Guidelines for the Brazilian Population (DGBP) questionnaire. Poisson regression examined associations between eating behaviors, dietary practices, and sociodemographic factors. Linear regressions were employed to analyze relationships between eating behavior, dietary practices, BMI, and BF. The study included 275 primarily female (70.5%) participants under 60 years old (54.2%). Male and older participants had a lower prevalence of high scores in the 'emotional eating' (EE; PR: 0.40 [0.25;0.63]) and 'uncontrolled eating' (UE; PR: 0.68 [0.50;0.92]) domains. In contrast, older patients had a higher prevalence of adherence to the DGBP recommendations (PR:1.53 [1.20;1.94]). A positive association was observed between high EE (ß:3.71 [1.98;5.44]) and UE (ß:2.85 [1.15;4.55]) scores and BMI, whereas higher dietary practice scores (ß:-2.19 [-3.88;-0.50]) were negatively associated with BMI. High EE (ß:2.20 [0.38;4.02]) and UE (ß:1.92 [0.17;3.67]) scores were positively associated with BF regardless of the confounding factors included. Higher scores on the dietary practices were inversely associated with BF (ß:-1.94 [-3.67;-0.21]). Understanding dietary behaviors and practices can facilitate a more comprehensive and effective treatment approach.

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Purpose: We aimed to verify the prevalence of dietary supplements among CrossFit practitioners (CFPs), considering gender and training status. Still, we aimed to determine the type, reasons, and associated factors of dietary supplement utilization among CFPs. Methods: This is a cross-sectional, exploratory, and descriptive study with the snowball sampling method. Data were collected through online questionnaires using the Google Forms® tool. We included CFPs aged 18-64 years, from Aug 1, 2020, to Sept 31, 2020. The questionnaire contained questions to assess the prevalence, type, and reasons for supplement use; also, we assessed information about sociodemographic variables and the prevalence of the main chronic morbidities. To analyze aspects of eating behavior and sleep-related parameters, we applied the three-factor eating questionnaire (TFEQ)-R21 and the Pittsburgh Sleep Quality Index questionnaire (PSQI), respectively. Results: We assessed one hundred twelve (n = 112; 57 men; 55 women) CFPs (28.9 ± 7.64 years old; body mass index (BMI), 25.5 ± 4.83 kg/m2). Eighty-seven (50 men; 37 women; 28.2 ± 6.66 years old; BMI, 25.4 ± 4.55 kg/m2) reported using dietary supplements. Whey protein was the most used supplement (n = 70), followed by creatine (n = 54). Cognitive restraint (a dimension of eating behavior) score was higher in supplement users than in non-users (51.7 ± 18.6 vs. 42.6 ± 20.5; p = 0.040). Sleep-related parameters did not differ between supplement users and non-users. The most associated factors to supplement use were sex (being man; OR, 7.99; p = 0.007), sleep quality (poor; OR, 5.27; p = 0.045), CrossFit level (as prescribed (RX); OR, 4.51; p = 0.031), and cognitive restraint (OR, 1.03; p = 0.029). Conclusion: The CFPs, especially RX and Elite ones, showed a higher prevalence of supplement utilization. Anabolic-related supplements (i.e., whey protein and creatine) were the most used; moreover, several CFPs used supplements not supported by scientific evidence. Cognitive restraint score was higher in supplement users than in non-users. RX level, being men, and poor sleep quality were associated with supplement utilization. These data draw attention to the necessity of nutritional education for CrossFit coaches and athletes. Broader studies are necessary to confirm our findings.

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PURPOSE: This research has tested the association between anthropometric profile and eating behavior according to the practice of physical activity in women with more than 24 months after bariatric surgery. METHODS: It is a transversal study accomplished with 44 adult women, in which sociodemographic and anthropometric data of eating behavior as well as physical activity practice have been collected. RESULTS: The average of overweight loss was satisfactory (> 50%), the average of weight regain was of 16.4 ± 11.2%, being the weight regain (kg) statistically lower in the physically active group (p = 0.049). There had been predominance of emotional eating in both groups (active p = 0.025; inactive p = 0.040); significant inverse correlation (ß = - 0.286; IC - 0.317; - 0,005; p = 0.044) between food restriction behavior and weight regain (%) depending on postoperative period; and the time of physical activity practice (min) has presented inverse correlation, statistically significant (ß = - 0.311; IC - 0.048; - 0,001; p = 0.039) on the weight regain (%) independent of postoperative period. CONCLUSIONS: The physically active participants have presented the lowest weight regain and predominance of emotional eating domain, evidencing the need to model eating behavior and to encourage the practice of physical activity in these patients. LEVEL III: Case-control analytic study.

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OBJECTIVE: Successful weight loss and maintenance after Roux-en-Y gastric bypass (RYGB) may be related to eating behavior. The aim of this study was to assess the eating behavior domains that prevail in women during the RYGB postoperative period and their associations with surgery outcome. METHODS: This cross-sectional study investigated eating behavior in 95 women (47.3 ± 9.8 y old) ≥ 2 y after Roux-en-Y gastric bypass. Patients were grouped according to surgery outcome: successful group (SG; n = 67), defined as having lost ≥ 50% of the preoperative excess weight loss (EWL), and an unsuccessful group (UG; n = 28). Mean postoperative time was 59.5 ± 21.2 mo (55.7 ± 19.9 in the SG and 68.6 ± 21.9 in the UG). The short version of the Three-Factor Eating Questionnaire was used to assess cognitive restraint, emotional eating, and uncontrolled eating behaviors. Multivariate analysis was used to investigate associations between eating behavior scores and EWL. RESULTS: The highest score in both groups was for the cognitive restraint domain, followed by emotional and uncontrolled eating. Emotional eating was negatively associated with percentage of EWL (ß = -0.286; P = 0.033), regardless of age, educational attainment, and postoperative time. CONCLUSION: The cognitive restraint domain was the main type of eating behavior observed, and patients with higher emotional eating score were at a higher risk for having insufficient weight loss after RYGB. These results indicate the relevance of monitoring emotional components during the long-term nutritional follow-up of bariatric patients to achieve better surgery outcomes.

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PURPOSE: This study aimed to evaluate the psychometric properties and scoring pattern of the Brazilian version of the three-factor eating questionnaire-r21 (TFEQ-R21). METHODS: Data were collected from 410 undergraduate students. Confirmatory factor analysis was conducted to examine the factor structure of the TFEQ-R21. Convergent and discriminant validity also was assessed. Cluster analysis was performed to investigate scoring patterns. RESULTS: In assessing the quality setting, the model was considered satisfactory (χ 2/gl = 2.24, CFI = 0.97, TLI = 0.96, RMSEA = 0.05). The instrument was also considered appropriate in relation to the discriminant and convergent validity. There was a positive correlation between body mass index and the dimensions of cognitive restraint (r s  = 0.449, p < 0.001) and emotional eating (r s  = 0.112, p = 0.023). Using cluster analysis three respondent profiles were identified. The profile "A" was associated with appropriate weight, the "B" was characterized by high scores in cognitive restraint dimension, and the cluster "C" focused individuals who had higher scores on the uncontrolled eating and emotional eating dimensions. CONCLUSIONS: The Brazilian version of TFEQ-R21 has adequate psychometric properties, and the identified response profiles offer a promising prospect for its use in clinical practice, in weight loss interventions.

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We used Spearman's rho correlations and descriptive statistics (α = 0.05) to explore relationships between maternal eating behaviors (disinhibition, cognitive restraint, and susceptibility to hunger) and frequency of consumption of specific food groups (dairy, fruits, vegetables, meats) in a rural Mexican-American population. Analyses were based on the mothers' responses to the Three Factor Eating Questionnaire and Willett's Food Frequency Questionnaire. Cognitive restraint was associated with greater frequency of consumption of vegetables, whereas disinhibition was associated with less frequent consumption of fruit. Susceptibility to hunger may have indirectly influenced the latter by enhancing the level of disinhibition. Mean frequency of consumption of vegetables (1-3 times per month) and fruits (once per week) was less than Healthy People 2020 targets. Additional research is needed to better understand factors contributing to these eating behaviors and patterns. To do so will require developing diet assessment tools that reflect foods typically consumed by this population.

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