Sezgin Yilmaz, Çoşkun Serkan, Aslan Yunus, Şimşek Seda, Kaya Sümeyye
Family Medicine Clinic, Trabzon Medicine Faculty, Turkish Health Science University, Trabzon, Turkey.
Lord North Ward, Maidstone Hospital, Kent, England.
Medicine (Baltimore). 2025 Mar 21;104(12):e41943. doi: 10.1097/MD.0000000000041943.
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.
代谢综合征以肥胖、高血压和代谢异常(脂质和葡萄糖调节异常)为特征,会显著增加心血管疾病的风险。本研究旨在探讨肥胖个体的身体成分与代谢综合征严重程度之间的关联。这项横断面研究分析了在一家肥胖中心寻求治疗的180名个体的数据。关键变量包括体重指数(BMI)、脂肪量、肌肉量和代谢综合征严重程度评分。采用逻辑回归来评估身体成分参数与代谢综合征严重程度评分之间的关系。在这180名参与者中,92.8%为女性,7.2%为男性。代谢综合征严重程度评分较高的个体年龄、BMI、脂肪量、肌肉量以及脂肪与肌肉比率均显著更高。逻辑回归分析显示,BMI每增加1个单位,代谢综合征严重程度评分较高的风险就增加1.288倍。然而,脂肪量和肌肉量及其百分比与该评分无显著关联。BMI成为影响肥胖个体代谢综合征严重程度的关键因素,而其他身体成分参数并未显示出显著关系。这些发现凸显了BMI在肥胖和代谢综合征管理中的重要性,并强调需要进行更大样本量的进一步研究。