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Introducción: Con el aumento de la prevalencia de obesidad, se esperaría un mayor espesor glúteo, lo que sería un factor importante en futuras intervenciones en región glútea con fines de optimizar mejores resultados estéticos. Objetivo: Correlacionar el índice de masa corporal y el grosor de tejido adiposo en glúteos en voluntarias que acudieron al Servicio de Cirugía Plástica y Reconstructiva del Hospital Dr. Miguel Pérez Carreño entre enero a marzo, 2023. Métodos: El estudio fue prospectivo, descriptivo y de corte transversal. Se utilizó un sonógrafo Sono Eye 1 para realizar las medidas del glúteo. Mediante una báscula, se midió peso y talla, para posteriormente calcular el IMC, fueron 29 voluntarias de sexo femenino entre 18 a 60 años, sin antecedentes quirúrgicos estéticos previos. Las correlaciones fueron evaluadas con el coeficiente de correlación de Pearson. Se consideró un valor significativo si p < 0,05. Los datos fueron tabulados con STATA 17. Resultados: La edad promedio fue 39 ± 12 años. La mayoría con preobesidad (55,2 %). No hubo diferencias estadísticas en grosor de tejido adiposo, de musculo y espesor de glúteo de acuerdo a la lateralidad; de acuerdo al coeficiente de correlación de Pearson, el IMC no hubo asociación con las medidas combinadas del glúteo izquierdo y derecho del grosor de tejido graso (r = 0,137), grosor muscular (r = 0,115) y espesor glúteo (r = 0,193). Conclusión: Los cambios de las medidas antropométricas de acuerdo al índice de masa corporal, no presentaron correlación estadística con el espesor glúteo. (AU)

Introduction: With the increasing prevalence of obesity, a greater gluteal thickness would be expected, which would be an important factor in future interventions in the gluteal region aimed at optimizing better aesthetic outcomes. Objective: To correlate the body mass index (BMI) and the thickness of adipose tissue in the buttocks of volunteers who attended the Plastic and Reconstructive Surgery Service at Dr. Miguel Pérez Carreño Hospital from January to March, 2023. Methods: The study was prospective, descriptive, and cross-sectional. A Sono Eye 1 sonograph was used to measure the gluteal thickness. Using a scale, weight and height were measured to subsequently calculate the BMI; there were 29 female volunteers aged between 18 and 60 years, without previous aesthetic surgical history. Correlations were assessed using Pearson's correlation coefficient. A significant value was considered if p < 0.05. Data were tabulated using STATA 17. Results: The average age was 39 ± 12 years. The majority had pre-obesity (55,2%). There were no statistical differences in adipose tissue thickness, muscle thickness, and gluteal thickness according to laterality; according to Pearson's correlation coefficient, BMI was not associated with combined measurements of left and right buttock adipose tissue thickness (r = 0,137), muscle thickness (r = 0,115), and gluteal thickness (r = 0,193). Conclusion: Changes in anthropometric measurements according to body mass index did not show a statistical correlation with gluteal thickness. (AU)

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OBJECTIVE: To investigate how body mass index (BMI) and waist circumference (WC) may be associated with insulin resistance and type 2 diabetes (T2DM) in Brazilian adolescents. METHODS: Cross-sectional study using data from the Brazilian Study of Cardiovascular Risks in Adolescents (ERICA) including adolescents aged 12-17 years. The relationship between adiposity and T2DM was investigated using ordinal logistic regression models. To study the association between adiposity categories and the occurrence of insulin resistance, linear regression models were used. RESULTS: The prevalence of T2DM for the same BMI category did not increase with the presence of high WC. Regarding insulin resistance, for the same BMI categories, having a high WC resulted in a higher prevalence of insulin resistance (HOMA-IR). The only groups significantly associated with prediabetes and T2DM were those with obesity by BMI with elevated WC (POR 1.68, 95 % CI 1.45; 1.94) and obesity with normal WC (POR 1.58, 95 % CI 1.01; 2.46). Similar findings were observed concerning insulin resistance, where the increased WC had its greatest effect when associated with obesity by BMI (ß Coefficient 2.20, 95 % CI 1.89; 2.50). CONCLUSION: The combination of BMI and WC is better for assessing adolescents at risk of developing T2DM.

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OBJECTIVE: To investigate the association of mental health in childhood and adolescence with four outcomes at 18 years: ultra-processed food (UPF) consumption, body mass index (BMI), excessive weight (EW), and body composition, including fat mass (FM) and fat free mass (FFM) in kg, FM index (FMI) and FFM index (FFMI) in kg/m2. METHODS: Cohort study in which The Development and Well-Being Assessment (DAWBA) (6 and 11 years) and the MINI International Neuropsychiatric Interview (MINI) (18 years) provided information on internalizing (INT), externalizing (EXT) and any mental disorder (ANY). The exposure was classified in: "never", "at 6 and/or 11 years", "at 18 years only" and "at 6, 11, and 18 years". Linear and logistic regression were run. All analyses were stratified by sex. RESULTS: A total of 2722 participants were analyzed. At 18 years, female with EXT disorders at 6 and/or 11 years presented higher BMI (ß: 1.70; 0.18-3.23), FM (ß: 4.74; 1.42-8.06), and FMI (ß: 1.53; 0.28-2.79) than those who never had. The odds of EW at 18 years was also higher in females with EXT disorders at 6 and/or 11 years (OR: 3.39; 1.56-7.36) and at the three time points (OR: 7.08; 1.69-29.59). Males with EXT disorders at 6 and/or 11 years presented higher FM (ß: 4.45; 1.85-7.06) and FMI (ß: 1.47; 0.63-2.31). CONCLUSIONS: Among children and adolescents showing symptoms of EXT disorders, weight should be monitored carefully, thus ultimately contributing to reduce the burden of EW in adolescence.

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Objective: Diabetes mellitus is a growing disease with severe complications. Various scores predict the risk of developing this pathology. The amount of muscle mass is associated with insulin resistance, yet there is no established evidence linking muscle mass with diabetes risk. This work aims to study that relationship. Research methods and procedures: This cross-sectional study included 1,388 employees. The FINDRISC score was used to assess type 2 diabetes risk, and bioimpedance was used for body composition analysis. Appendicular skeletal muscle mass adjusted by body mass index (ASM/BMI) was analyzed. Sociodemographic, clinical and anthropometric measures were evaluated, logistic regression models with sex stratification were conducted and ROC curves were calculated to determine the ability of ASM/BMI index to predict T2D risk. Results: It was observed that patients with higher ASM/BMI had a lower FINDRISC score in both men and women (p < 0.001). A logistic regression model showed and association between ASM/BMI and diabetes risk in women [OR: 0.000 (0.000-0.900), p = 0.048], but not in men [OR: 0.267 (0.038-1.878), p = 0.185]. However, when the body mass index variable was excluded from the model, an association was found between muscle mass adjusted to BMI and diabetes risk in both men [OR: 0.000 (0.000-0.016), p < 0.001], and women [OR:0.001 (0.000-0.034), p < 0.001]. Other risk factors were having a low level of physical activity, waist circumference, age and sedentary lifestyle. A ROC curve was built and the optimal ASM/BMI cut-of value for predicting T2D risk was 0.82 with a sensitivity of 53.71% and specificity of 69.3% [AUC of 0.665 (0.64-0.69; p < 0.0001)]. Conclusion: When quantifying the risk of type 2 diabetes in both women and men, assessing muscle mass can help detect adult individuals with a high risk of developing type 2 diabetes.

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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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OBJECTIVES: Given the innovative nature of the method, our study aimed to assess the prognostic significance of body mass index (BMI)-adjusted calf circumference (CC) in older patients who are hospitalized. METHODS: This was a unique analysis as part of other cohorts comprising general hospitalized patients aged 60 years or older of both sexes. Only patients with excess weight (BMI ≥ 25 kg/m2) were included. CC was adjusted by reducing 3, 7, or 12 cm for BMI (in kg/m2) within 25-29.9, 30-39.9, and ≥40 kg/m2, respectively. CC was considered low if ≤ 34 cm for males and ≤ 33 cm for females. Clinical outcomes included prolonged length of hospital stay (LOS) and mortality. RESULTS: A total of 222 patients were included. After BMI adjustments, 72.1% of the patients were reclassified from a normal CC category to a low CC category. The frequency of low CC increased from 33.8% to 81.9% following BMI adjustments. Among those reclassified to the low CC, 11 died, compared to only 2 patients in the group that maintained a normal CC classification. BMI-adjusted CC was inversely associated with mortality (HR adjusted 0.84, 95% CI 0.73 to 0.95), but not with prolonged LOS. CONCLUSIONS: Our novel study highlights the prognostic value of BMI-adjusted CC. As an anthropometric marker of muscle mass, it proved to be a predictor of mortality in older patients with high BMI. This adjustment is further important because it may help to better detect low muscle mass in these patients where such conditions might be masked.

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AIM: The prevalence of diabetes and hypertension according to body mass index (BMI) status in Brazilian adults has not been described yet. Herein, we aimed to identify the time trends in hypertension and diabetes, individually and combined (multimorbidity), by BMI in Brazilian adults. METHODS: In this time series cross-sectional study, we retrieved self-reported data from 806 169 adults between 2006 and 2023, using the Surveillance System of Risk and Protective Factors from Chronic Diseases by Telephone Survey (Vigitel). Weight and height were used to classify participants into normal/underweight (<25 kg/m2), pre-obesity (25 to 29.9 kg/m2), and obesity (≥ 30 kg/m2). We calculated the prevalence of medical diagnoses of hypertension and diabetes, individually and combined, by BMI categories, and by sociodemographic characteristics (sex, age group, educational attainment) for participants with obesity. We performed Prais-Winsten linear regression models to identify temporal trends. RESULTS: The prevalence of hypertension and diabetes increased between 2006 and 2023. Among adults with obesity, we observed a slight decrease in the prevalence of hypertension (from 44.5% in 2006 to 41.7% in 2023) and the prevalence of either hypertension or diabetes (47.1% to 45.5%); an increase in the prevalence of diabetes (12.8% to 15.13) and both conditions combined (10.2% to 11.2%). Participants with obesity had more than twice the prevalence of hypertension and diabetes compared with those who were normal/underweight. We observed a differential time trend by sex, age group, and educational attainment. CONCLUSION: Our findings indicate the need for differentiated approaches for interventions for hypertension and diabetes, considering variations over time by sociodemographic characteristics.

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BACKGROUND: The recurrence of weight gain is attributed to the homeostatic regulation of hunger and satiety signals, influenced by metabolic state, nutrient availability, and non-homeostatic mechanisms shaped by reinforced consequences from experiences. In response, Evelyn Tribole and Elyse Resch proposed Intuitive Eating (IE) in 1980, countering restrictive diets. IE, inversely correlated with Body Mass Index (BMI), binge eating, and anxiety/depression symptoms, fosters mind-body-food harmony by recognizing hunger and satiety cues. IE encourages meeting physiological, not emotional, needs, permitting unconditional eating, and relying on internal signals for food decisions. Amidst university students' stress, exacerbated during the COVID-19 pandemic, understanding their eating behavior, particularly intuitive eating levels, becomes crucial. OBJECTIVE: This study aimed to assess the IE level of Brazilian students during the COVID-19 pandemic. METHODS: This cross-sectional study, the first to analyze the Intuitive Eating of students in Brazil during the pandemic, was conducted using an online questionnaire. RESULTS: The sample comprised 1335 students, most of whom were women (82.17%), with a mean age of 26.12 ± 7.9 years, and a healthy nutritional status (57.58%). The mean IE score was 3.2 ± 0.6. A significant association was found between the confinement situation, the type of housing unit, and the IE subscale-Unconditional Permission to Eat (p = 0.043). However, there was no association between the other subscales and the total IE scale. Regarding self-reported mental and eating disorders, the most frequent were anxiety (21.2%), depression (6.5%), and binge eating disorder (BED) (4.7%). IE was negatively associated with BED (B = - 0.66; p < .001), bulimia nervosa (B = - 0.58; p < .001), body mass index (BMI) (p < .001) and self-reported anxiety (B = - .102; p = 0.16). The male sex showed a higher IE score compared with the female sex (p < .001). CONCLUSION: While no significant association was found between IE and the confinement situation, a significant association was found between housing type and the Unconditional Permission to Eat subscale.

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OBJECTIVE: The main goal of the present research is to explore the potential link of body mass index (BMI) with different survival metrics in breast cancer patients. Our aim is to offer the latest and most thorough meta-analysis, assessing the strength and reliability of the connection that BMI has with prognostic indicators in this disease. PATIENTS AND METHODS: As of January 2024, we conducted a systematic literature search across PubMed, Embase, Web of Science, and the Cochrane Library databases. Our search aimed to identify studies examining BMI as an exposure factor, with breast cancer patients constituting the study population, and utilizing adjusted hazard ratio (HR) as the data type of interest. RESULTS: The evidence synthesis incorporated a total of 61 eligible articles involving 201,006 patients. Being underweight posed a risk factor for overall survival (OS) in breast cancer patients compared to normal weight (HR 1.15, 95% CI 0.98-1.35; P = 0.08). Overweight or obesity, in comparison to normal weight, was a risk factor for OS (HR 1.18, 95% CI 1.14-1.23; P < 0.00001), disease-free survival (DFS) (HR 1.11, 95% CI 1.08-1.13; P < 0.00001), relapse-free survival (RFS) (HR 1.14, 95% CI 1.06-1.22; P = 0.03), and breast cancer-specific survival (BCSS) (HR 1.18, 95% CI 1.11-1.26; P < 0.00001), but not for progression-free survival (PFS) (HR 0.91, 95% CI 0.76-1.10; P = 0.33). Notably, in subgroup analyses, overweight patients achieved prolonged PFS (HR 0.80, 95% CI 0.64-0.99; P = 0.04), and compared to the obese population, the overweight cohort exhibited a significant difference in OS (HR 1.11, 95% CI 1.05-1.16; P < 0.00001) and DFS (HR 1.06, 95% CI 1.03-1.10; P = 0.0004), with a considerably stronger association. Furthermore, compared to HER- patients, HER + patients exhibited a greater predictive value for OS (HR 1.23, 95% CI 1.10-1.37; P = 0.0004), RFS (HR 1.30, 95% CI 1.03-1.64; P < 0.00001), and DFS (HR 1.10, 95% CI 1.03-1.17; P = 0.003). CONCLUSIONS: The results of our meta-analysis reveal a notable association between BMI and various survival measures in breast cancer prognosis. These findings provide a solid basis for predicting breast cancer outcomes and implementing more effective therapeutic approaches.

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Abstract Objective: To develop growth charts for weight-for-age, height-for-age, and body mass index (BMI)-for-age for both genders aged 2 to 18 years for Brazilian patients with Williams-Beuren Syndrome (WBS). Methods: This is a multicenter, retrospective, and longitudinal study, data were collected from the medical records of boys and girls with a confirmed diagnosis of WBS in three large university centers in the state of Sao Paulo, Brazil. Growth charts stratified by gender and age in years were developed using LMSchartmaker Pro software. The LMS (Lambda Mu Sigma) method was used to model the charts. The quality of the settings was checked by worm plots. Results: The first Brazilian growth charts for weight-for-age, height-for-age, and BMI-for-age stratified by gender were constructed for WBS patients aged 2 to 18 years. Conclusion: The growth charts developed in this study can help to guide family members and to improve the health care offered by health professionals.