Mindful Eating and Current Glycemic Control in Patients With Type 2 Diabetes.

Objective Lifestyle adjustments are essential in the management of type 2 diabetes mellitus (T2DM). Mindful eating involves being more attentive to and aware of meals. This study aimed to investigate the relationship between mindful eating and glycemic control, as well as body mass index (BMI), in people with T2DM. Materials and methods This cross-sectional study included 448 participants who had been diagnosed with T2DM for at least six months. The participants were categorized into three groups based on their HbA1c levels. The Turkish adaptation of the Mindful Eating Questionnaire (MEQ-30) was employed to assess levels of mindful eating behavior. Obesity was defined as a BMI ≥ 30. Anthropometric measurements, laboratory tests, and questionnaire responses were also collected. Results Participants with well-controlled diabetes (HbA1c ≤7%) demonstrated significantly higher scores on the MEQ-30 and its various subgroups in comparison to those with poorly controlled diabetes (HbA1c >9%). The suboptimal glycemic control groups exhibited noticeable variations in mindful eating behaviors. Moreover, participants with lower BMIs displayed stronger inclinations toward mindful eating. Weak negative correlations were observed between BMI and specific MEQ-30 subgroups. Notably, subgroups such as emotional eating, eating control, eating discipline, and interference demonstrated weak negative correlations with the HbA1c levels. Conclusion  Higher levels of mindful eating were associated with lower levels of HbA1c and BMI, indicating that incorporating mindful eating practices may present promising advantages for individuals diagnosed with type 2 diabetes, specifically in terms of glycemic control and weight management.

The effect of close and intensive therapeutic monitoring of patients with poorly controlled type 2 diabetes with different glycemic background.

Patients with type 2 diabetes who have HbA1c values ≥ 10% have different previous glycemic trends, including new diagnosis of diabetes. We aimed to assess the efficacy of 3 months of intensive and facilitated antihyperglycemic treatment in patients with different glycemic backgrounds. In this observational study, patients with type 2 diabetes and poor glycemic control (indicated by an HbA1c level of > = 10%) were divided into groups based on their previous HbA1c levels (group 1; newly diagnosed type 2 diabetics, group 2; patients with previously controlled but now deteriorated HbA1c levels, group 3; patients whose HbA1c was not previously in the target range but was now above 10%, and group 4; patients whose HbA1c was above 10% from the start). Patients received intensive diabetes management with close monitoring and facilitated hospital visits. For further analysis, patients who were known to have previously had good metabolic control (either did not have diabetes or had previously had an HbA1c value < =7) and patients who had prior poor metabolic control were analyzed separately. Of the 195 participants [female, n = 84 (43.1%)], the median age was 54 years (inter-quantile range [IQR] = 15, min = 29, max = 80) and the median baseline HbA1c was 11.8% (IQR = 2.6%, min = 10%, max = 18.3%). The median duration of diabetes was 10 years (IQR = 9, min = 1, max = 35) when newly diagnosed patients were excluded. The ≥ 20% reduction in HbA1c at month 3 was observed in groups 1 to 4 in 97%, 88.1%, 69.1%, and 55.4%, respectively. The percentage of patients who achieved an HbA1c level of 7% or less was 60.6%, 38.1%, 16.4%, and 6.2% in the groups, respectively. The rate of those who achieved an HbA1c of 7% or less was nearly 50% of patients with type 2 diabetes mellitus who had previously had good metabolic control, whereas successful control was achieved in only 1 in 10 patients with persistently high HbA1c levels. Patients' glycemic history played an important role in determining their HbA1c levels at 3 months, suggesting that previous glycemic management patterns may indicate future success in diabetes control.

Is Metabolic Score for Visceral Fat (METS-VF) a Better Index Than Other Adiposity Indices for the Prediction of Visceral Adiposity.

Background: Visceral adiposity is an important risk factor for cardiometabolic diseases. Objective: To determine whether the Metabolic Score for Visceral Fat (METS-VF) is more effective than other adiposity indices in predicting visceral fat area (VFA). Methods: In this single-center and cross-sectional study, we included patients aged 20-50 years, without diabetes and coronary artery disease, who underwent computed tomography (CT) including the third lumbar vertebra. Age, blood pressure, waist circumference (WC), hip circumference, fasting lipids, and glucose were assessed. VFA was measured by cross-sectional examination of CT. The correlation of WC, body mass index (BMI), waist-hip ratio (WHR), lipid accumulation product (LAP), visceral adiposity index (VAI), a body shape index (ABSI), body roundness index (BRI), and METS-VF with VFA was analyzed by correlation analysis. The cut-off values and area under the curve (AUC) for identifying increased VFA (>130 cm2) were determined. Results: We included 185 individuals with mean age 38.2 ± 8 and female predominance (58.4%). There was a significant positive correlation between all indices and VFA (p<0.001). ROC analysis revealed that METS-VF and WC demonstrated the highest predictive value for identifying increased VFA. In both men (p=0.001) and women (p<0.001), METS-VF (AUC 0.922 and 0.939, respectively) showed a significant superiority over ABSI (AUC 0.702 and 0.658, respectively), and VAI (AUC 0.731 and 0.725, respectively). Additionally, in women, its superiority over WHR (AUC 0.807) was also statistically significant (p=0.003). We identified a METS-VF cut-off point >6.4 in males >6.5 in females and WC cut-off point >88 cm in males (AUC 0.922), >90.5 cm in females (AUC 0.938). Conclusion: METS-VF is strongly associated with visceral adiposity and better to predict increased VFA. However, its superiority over WC, BMI, BRI, and LAP was not significant. The results emphasize that WC is more appealing as screening indicator for visceral adiposity considering its easy use. Clinical Trial Registry Name: Clinicaltrials.gov (http://www.clinicaltrials.gov). Clinical Trial Registry Url: https://clinicaltrials.gov/ct2/show/NCT05648409. Clinical Trial Registry Number: NCT05648409.

MODY Probability Ratios in Patients Diagnosed with Type 2 Diabetes Mellitus at a Young Age.

OBJECTIVE: Maturity-onset diabetes of the young (MODY) is a non-rare group of monogenic inherited diabetes which is commonly confused with type 1 and type 2 diabetes. Due to high costs of genetic tests that provide a definitive diagnosis, some screening scales are used to identify the high-risk patients. In this study, we aimed to evaluate whether (MODY Probability Calculator [MPC]) which is one of the screening tests will be helpful in identifying our high-risk patients among young patients with type 2 diabetes. METHOD: The patients received the diagnosis of type 2 diabetes aged <35 years were included in the study. The anthropometric characteristics of the patients, the treatments they received at the time of diagnosis, and the current treatments were recorded by retrospectively scanning patient files.The patients with the diagnosis of type 1 diabetes having autoantibodies to the pancreas were excluded from the study. The probability of MODY was calculated using MPC.. RESULTS: The mean age of 72 patients (40% female) was 41.5±7.2 years. Eighteen of the patients (25%) were using insulin at the time of diagnosis. The mean HbA1c was 8.6±2.2% and C-peptide was 2.35±1.52 ng/ml. The mean MODY positive predictive score calculated by MPC for risk of MODY was 11.23 percent. There were 61 patients (84.7%) with a risk of ≤20%, 9 patients (12.5%) with a risk of 20-50%, and 2 patients (2.8%) with ≥50%. In the group with MODY PPV score >20%, the age of onset of diabetes and the body mass index was significantly lower than the others (p<0.05, for both). There was no significant difference between current treatments of both groups. CONCLUSION: It has been reported that MODY risk calculated by MPC may yield different results in different populations. The results of this study showed that 15% of our young-onset diabetes patients had an MPC score above 20 percent. Requesting MODY genetic tests in this 15% of the patient group can be presented as a practical suggestion.

C-peptide concentrations in patients with type 2 diabetes treated with insulin.

AIMS: To determine beta cell reserves of patients with type 2 diabetes who are treated with insulin by using fasting C-peptide concentrations and to investigate the clinical features related to C-peptide concentrations. MATERIALS AND METHODS: Patients with type 2 diabetes, who were using insulin as monotherapy or in combination therapy, were divided into three groups; those with an insufficient beta cell reserve (C-peptide: <0.5 ng/mL), borderline reserve (C-peptide: 0.5-2 ng/mL) and sufficient reserve (C-peptide:> 2 ng/mL). RESULTS: In the 249 patients (mean age, 61.77 ± 9.34 years; 40.6% male), the mean duration of diabetes was 13.9 ± 8.43 years. The mean HbA1c concentrations, fasting glucose and C-peptide concentrations were 8.88 ± 1.87%, 184.29 ± 77.88 mg/dL and 1.95 ± 1.37 ng/mL, respectively. Fifty-seven percent of patients (n = 142) had a borderline beta cell reserve and 37% (n = 92) had high C-peptide concentrations. Only 6% of patients (n = 15) had an insufficient beta cell reserve. C-peptide levels were positively correlated with waist circumference (r: 0.282; p = 0.001), hip circumference (r: 0.251; p = 0.001), body mass index (r: 0.279; p = 0.001), fasting glucose concentrations (r: 0.309; p = 0.001) and triglyceride concentrations (r: 0.358; p = 0.001). CONCLUSION: In this study, almost all patients with type 2 diabetes using insulin were found to have sufficient or borderline beta cell reserves and insulin resistance-related parameters were prominent in those with adequate beta cell reserve. CLINICAL TRIALS NO: NCT04005261.