Diabetes mellitus (DM) is a well-established risk factor for perioperative cardiovascular morbidity and mortality in patients undergoing noncardiac surgery. However, the impact of preoperative glucose levels on perioperative cardiovascular outcomes in patients undergoing nonemergent, major noncardiothoracic surgery is unclear.

The objective of this research was to examine how caffeine use disorder among physicians across different specialties relates to both sleep quality and professional burnout. This research represents a single-center, prospective, cross-sectional study involving 240 physicians meeting inclusion criteria and working within a training and research hospital. Participants were enrolled in the study after obtaining informed consent. A web-based survey methodology was employed, administering a participant information form crafted following an exhaustive literature review, alongside assessments utilizing the Caffeine Use Disorder Questionnaire, the Pittsburgh Sleep Quality Index, and the Maslach Burnout Inventory. A significance level of p < 0.05 was considered statistically significant. In our study, participants had a median age of 30.0 years, and 60% reported poor sleep quality. A positive and statistically significant relationship (rho=0.148, p = 0.022) was found between the Caffeine Use Disorder Questionnaire and Pittsburgh Sleep Quality Index scores. In the generalized linear model analysis, setting the Caffeine Use Disorder Questionnaire score as the dependent variable, statistically significant contributions were observed for gender (women), daily total caffeine intake, and Maslach-depersonalization score variables (p = 0.012, p < 0.001, 0.035, respectively). Higher levels of caffeine use disorder have been observed among women, smokers, and individuals with increased caffeine intake. Notably, an increase in professional depersonalization is associated with a rise in caffeine use disorder. Studying physicians’ professional depersonalization could aid in addressing caffeine use disorders. Additionally, exploring the caffeine consumption patterns of healthcare professionals displaying depersonalization towards patients’ needs is also worthwhile.

This study aimed to compare the estimated and measured resting metabolic rates of patients with type 1 and type 2 diabetes mellitus in an outpatient clinical setting. Participants were categorized into three groups that included type 1 diabetes, type 2 diabetes, and individuals without diabetes. Bland–Altman analysis was used to identify the equation that most accurately predicted the measured resting metabolic rates. Multiple regression analysis was used to identify the factors affecting resting metabolic rates. Resting metabolic rates was observed to be higher in subjects with type 2 diabetes compared to that of the other groups. There was a proportional bias between predicted and measured resting metabolic rates. Type 1 diabetes, type 2 diabetes, male sex, body weight, waist circumference, and triglyceride level were factors that positively predicted resting metabolic rates, and age was a factor that negatively predicted it. Although there was a bias between estimated and measured RMR, the most accurate results were achieved with the Mifflin–St Jeor equation for women with type 1 diabetes, with the Owen equation for men with type 1 diabetes, with the Harris Benedict equation for women with type 2 diabetes, and with the Ikeda equation for men with type 2 diabetes as well as for women and men in the control group.

Objective: This study aimed to investigate the relationship between body fat percentage, anthropometric measurements, and the microvascular and macrovascular complications of diabetes in female patients with type 2 diabetes mellitus. Methods: This was a single-center, cross-sectional study. A total of 146 female patients who met the inclusion criteria and were admitted to the diabetes clinic of a training and research hospital were enrolled after obtaining informed consent. Anthropometric measurements including height, weight, body mass index, waist circumference, hip circumference, waist-to-hip ratio, and skinfold thickness were recorded. Body fat percentage was assessed using a bioelectrical impedance analyzer. The presence of retinopathy, nephropathy, neuropathy, and macrovascular complications was documented. A p-value of <0.05 was considered statistically significant. Results: In our study, the median age of the participants was 63.0 years, and the mean duration of diabetes was 17.21 ± 8.37 years. Retinopathy was detected in 30 patients (20.5%), nephropathy in 41 patients (28.1%), neuropathy in 46 patients (31.5%), and macrovascular complications in 48 patients (32.9%). When weight was controlled as a constant variable, patients with retinopathy, nephropathy, and macrovascular complications had a statistically significant increase in waist circumference compared to those without these complications (p < 0.05). Suprailiac skinfold thickness was found to be positively associated with both retinopathy and nephropathy (p < 0.05). Conclusions: In our study, no significant differences were observed in body fat measurements assessed by bioimpedance analysis and skinfold thickness between female patients with and without diabetic complications. Waist circumference measurement, which can be easily performed in primary health care settings, appears to be a much more important indicator of both macrovascular and microvascular complication risk in female patients with diabetes compared to bioimpedance and skinfold thickness methods.

Objective: The aim of the study was to assess attitudes and behaviors related to cancer screening using an attitude scale for cancer screening among individuals aged 30-70 with and without type 2 diabetes mellitus. Methods: This prospective case-control study was conducted from March to May 2023 at a single center. A total of 197 participants, including 67 patients with type 2 diabetes mellitus and 130 participants without type 2 diabetes mellitus aged 30-70, were enrolled using simple random sampling. For the assessment, a sociodemographic form prepared through a literature review and the attitude scale for cancer screening were used. A statistical significance level of p