Liu Hanhui, Li Yaqi, Deng Ye, Liang Zhancheng, Feng Shifeng, Fu Meiqi
Department of Spinal Surgery, Foshan Fosun Chancheng Hospital, Foshan, China.
Medicine (Baltimore). 2025 Mar 14;104(11):e41863. doi: 10.1097/MD.0000000000041863.
This cross-sectional study analyzed National Health and Nutrition Examination Survey data from 2011 to 2018, focusing on individuals aged ≥20 years. The association between metabolic score for insulin resistance (METS-IR) and sarcopenia was examined using weighted multivariable logistic regression, with dose-response relationships characterized by restricted cubic spline analysis. Subgroup and sensitivity analyses were performed, and receiver operating characteristic curve analysis assessed METS-IR's ability to detect sarcopenia, with the area under the curve used for evaluation. The study included 4553 participants (mean age, 40 years; 49.4% male and 50.6% female). In the descriptive analysis, METS-IR levels in sarcopenia (mean, 52.39) were significantly higher than METS-IR levels in nonsarcopenia (mean, 41.94), indicating an association with sarcopenia. A univariate logistic regression analysis showed that sarcopenia and METS-IR were positively correlated. Even after accounting for all variables, METS-IR maintained a stable positive correlation with the prevalence of sarcopenia (odds ratio, 1.06 [95% CI, 1.06-1.08]). The results remained stable when METS-IR was categorized into quartiles. METS-IR was found to positively correlate with sarcopenia prevalence using restricted cubic spline analysis. According to subgroup analysis, there is a consistent and stable positive correlation between the prevalence of sarcopenia and METS-IR. Sensitivity analysis showed that METS-IR and sarcopenia continued to have a significant positive connection even after excluding extreme findings. The area under the curve value of METS-IR in the receiver operating characteristic curve analysis was 0.7217, suggesting that METS-IR could be a useful predictor of sarcopenia.
这项横断面研究分析了2011年至2018年的国家健康与营养检查调查数据，重点关注年龄≥20岁的个体。使用加权多变量逻辑回归分析胰岛素抵抗代谢评分（METS-IR）与肌肉减少症之间的关联，并通过受限立方样条分析来描述剂量反应关系。进行了亚组分析和敏感性分析，采用受试者工作特征曲线分析评估METS-IR检测肌肉减少症的能力，并以曲线下面积进行评估。该研究纳入了4553名参与者（平均年龄40岁；男性占49.4%，女性占50.6%）。在描述性分析中，肌肉减少症患者的METS-IR水平（均值为52.39）显著高于非肌肉减少症患者的METS-IR水平（均值为41.94），表明与肌肉减少症存在关联。单变量逻辑回归分析显示，肌肉减少症与METS-IR呈正相关。即使在考虑所有变量后，METS-IR与肌肉减少症的患病率仍保持稳定的正相关（优势比为1.06 [95%置信区间，1.06 - 1.08]）。当将METS-IR分为四分位数时，结果保持稳定。使用受限立方样条分析发现METS-IR与肌肉减少症患病率呈正相关。根据亚组分析，肌肉减少症患病率与METS-IR之间存在一致且稳定的正相关。敏感性分析表明，即使排除极端结果，METS-IR与肌肉减少症仍继续存在显著的正相关。在受试者工作特征曲线分析中，METS-IR的曲线下面积值为0.7217，表明METS-IR可能是肌肉减少症的有用预测指标。
