Background: Super morbid obesity (SMO), defined as a body mass index (BMI) ≥ 50 kg/m², represents a distinct and increasingly prevalent subgroup of patients undergoing bariatric surgery. Compared to individuals with lower BMI, patients with BMI ≥ 50 kg/m² often exhibit unique clinical, psychological, and social characteristics that may influence treatment outcomes. Objective: This study aimed to compare demographic, metabolic, and psychiatric profiles of patients with BMI ≥ 50 kg/m² and non-super morbid obesity (NSMO; BMI < 50 kg/m²) who were evaluated prior to bariatric surgery. Methods: A total of 319 patients were recruited between December 2022 and December 2023 at a bariatric center in Gdansk, Poland. All participants underwent a comprehensive preoperative assessment, including laboratory testing, psychometric screening (BDI, PHQ-9), and psychiatric interviews. Patients were stratified into class IV obesity and NSMO groups for comparative analysis. Results: Patients with BMI ≥ 50 kg/m² were significantly older and more likely to report a history of lifelong obesity, family history of obesity, and childhood trauma. They had higher rates of obesity-related health problems such as hypertension, obstructive sleep apnea, and chronic venous insufficiency, as well as worse liver function and lipid profiles. Although the overall psychiatric burden was high in both groups, patients with BMI ≥ 50 kg/m² reported fewer prior diagnoses of depression and eating disorders, despite similar scores on screening tools. Conclusions: Patients with BMI ≥ 50 kg/m² represent a clinically distinct population with elevated metabolic risk, complex psychosocial backgrounds, and possibly underrecognized psychiatric burden. These findings underscore the need for multidisciplinary preoperative assessment and individualized treatment strategies in this group of patients.

Continuous glucose monitoring (CGM) interpretation in people without diabetes is expanding beyond general glycemic control toward more dynamic metrics, such as Rate of Change (RoC). In this fixed-sequence pilot study conducted in 30 healthy adult females, we evaluated associations between two structured 14-day lifestyle interventions and free-living conditions using standard CGM-derived glycemic variability metrics and a novel framework based on the rate-of-change (RoC) metrics and data clarity using an unblinded Abbott FreeStyle Libre 2 monitoring. The dietary intervention (calorie-tailored low-glycemic index regular meals) were associated with lower time spent in rising (+1 to +2 mg/dL/min) and falling (−2 to −1 mg/dL/min) RoC bins by 4.76 ± 1.87% (complete-case delta, p ≤ 0.0071), whereas the 14-day physical activity intervention showed smaller and less consistent RoC changes (0.41 ± 2.20, p ≥ 0.3549). These findings, despite some major study design limitations, suggest that RoC may be more responsive and sensitive to short-term dietary pattern modifications in normoglycemic women.

Background: Type 1 diabetes mellitus (T1DM) is one of the most frequently occurring chronic metabolic conditions in the pediatric and adolescent population. That is why our aim in this study was to compare metabolic control, eating habits, activity, and mental health in patients using insulin pumps with predictive low glucose suspend (PLGS) and advanced hybrid closed loop (AHCL) systems. Methods: We selected 37 patients and collected clinical, continuous glucose monitoring (CGM), and question-naire data (food frequency questionnaire (FFQ-6), physical activity questionnaire for children (PAQ-C), pediatric quality of life inventory (PedsQL). Additionally, all pa-tients participated in culinary workshops, which included education on a low-glycemic-index diet. Results: We observed a significant difference between the PLGS and the AHCL groups for mean glucose, coefficient of variation, and Time in Range (≤54, 70–140, 70–180, ≥180, and ≥250 mg/dL). Patients with higher Time Below Range consumed juices or sugary drinks more frequently. All participants had incor-rect eating habits and engaged in irregular physical activity. Conclusions: We observed no significant differences in the diabetes-specific quality of life scores between the PLGS and AHCL groups.