Serkan Çoşkun

This study aimed to examine the prevalence of mobbing experiences among family medicine residents in Turkey. A cross-sectional prevalence study was conducted with 406 volunteer physicians undergoing family medicine residency training. Data were collected via an online survey including sociodemographic questions and a modified Mobbing Scale, which assessed mobbing behaviors across five sub-dimensions: lack of communication, boycott and isolation, threats and violence, reduced work commitment, and job and career barriers. Statistical analyses were performed using IBM SPSS Statistics version 25, with statistical significance set at p < 0.05. The findings revealed that 12.68% of participants experienced mobbing, while an additional 12.70% were uncertain whether they had experienced mobbing. The most frequently reported mobbing experiences occurred in the domains of reduced work commitment (34.69%) and job and career barriers (24.13%). No statistically significant differences were observed based on gender, years of professional experience, or institutional affiliation. However, mobbing related to job and career barriers was more prevalent in Turkish Health Sciences University hospitals. Additionally, a positive correlation was identified between age and job commitment, suggesting that older participants exhibited higher levels of commitment to their work. The study indicates that mobbing remains a significant issue among family medicine residents, particularly concerning job commitment and career-related obstacles. These findings highlight the need for increased awareness and the implementation of preventive strategies to mitigate mobbing in healthcare environments, especially within large and hierarchical institutions.

Metabolic syndrome, characterized by a combination of obesity, hypertension, and metabolic abnormalities (lipid and glucose dysregulation), significantly increases the risk of cardiovascular diseases. This study aimed to explore the association between body composition and severity of metabolic syndrome in obese individuals. This cross-sectional study analyzed data from 180 individuals who sought treatment at an obesity center. Key variables included body mass index (BMI), fat mass, muscle mass, and the metabolic syndrome severity score. Logistic regression was used to evaluate the relationship between body composition parameters and metabolic syndrome severity score. Of the 180 participants, 92.8% were female and 7.2% were male. Individuals with higher metabolic syndrome severity scores had significantly higher age, BMI, fat mass, muscle mass, and fat and muscle ratios. Logistic regression analysis revealed that each 1-unit increase in BMI was associated with a 1.288-fold increase in the risk of a higher metabolic syndrome severity score. However, fat and muscle mass as well as their percentages were not significantly associated with the score. BMI emerged as a key factor influencing the severity of metabolic syndrome in obese individuals, whereas other body composition parameters did not show a significant relationship. These findings highlight the importance of BMI in the management of obesity and metabolic syndrome, and underscore the need for further research with larger sample sizes.