Zhang Chen, Huang Xintao, Lu Hao, Chen Mo, Wang Junyu, Deng Huisheng
Department of General Practice, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Front Nutr. 2024 Nov 28;11:1492191. doi: 10.3389/fnut.2024.1492191. eCollection 2024.
This study investigates the correlation between insulin resistance and obesity indicators with sarcopenic obesity (SO) and develops diagnostic models. Utilizing the 1999-2006 National Health and Nutrition Examination Survey (NHANES) database, the research included 5,574 adults. Sarcopenic obesity was defined following the 2022 consensus by ESPEN and EASO. The study analyzed indicators such as the triglyceride-glucose index (TyG), homeostasis model assessment of insulin resistance (HOMA-IR), body roundness index (BRI), and lipid accumulation product (LAP). Results indicated a significant positive correlation between these indicators and SO, with the strongest association observed for TyG-WHtR. Predictor variables were identified through logistic and Lasso regression, including age, sex, weight-height ratio (WHtR), and TyG-WCR. The diagnostic model demonstrated good predictive performance with AUC values of 0.897 for internal validation and 0.853 for external validation. The study underscores the importance of early identification of SO patients and provides a theoretical foundation for future prevention and management strategies. Limitations include the cross-sectional study design and the potential limited generalizability of the model based on the American population.
本研究调查胰岛素抵抗和肥胖指标与肌少症性肥胖(SO)之间的相关性,并建立诊断模型。利用1999 - 2006年美国国家健康与营养检查调查(NHANES)数据库,该研究纳入了5574名成年人。肌少症性肥胖是根据欧洲临床营养与代谢学会(ESPEN)和欧洲肥胖症研究学会(EASO)2022年的共识定义的。该研究分析了甘油三酯 - 葡萄糖指数(TyG)、胰岛素抵抗稳态模型评估(HOMA - IR)、身体圆润度指数(BRI)和脂质蓄积产物(LAP)等指标。结果表明这些指标与SO之间存在显著正相关,其中TyG - WHtR的相关性最强。通过逻辑回归和套索回归确定预测变量,包括年龄、性别、体重身高比(WHtR)和TyG - WCR。该诊断模型显示出良好的预测性能,内部验证的AUC值为0.897,外部验证的AUC值为0.853。该研究强调了早期识别SO患者的重要性,并为未来的预防和管理策略提供了理论基础。局限性包括横断面研究设计以及基于美国人群的模型可能存在的有限普遍性。